International Journal of Selection and Assessment Volume 16 Number 1 March 2008 Psychometric Correlates of FIRO-B Scores: Locating the FIRO-B scores in personality factor space Adrian Furnham Department of Psychology, University College, London, UK. a.furnham@ucl.ac.uk This paper investigated the relationship between the six Fundamental Interpersonal Relations Orientation (FIRO)-B scales, the Big Five Personality traits assessed by the NEO PI-R, the Hogan Development Survey (HDS) and two measures of cognitive ability (Watson Glaser; Graduate and Managerial Assessment). It examined the concurrent and construct validity of the measure in various adult groups attending assessment centres in order to locate the FIRO-B dimensions in established personality factor space. The FIRO-B was consistently correlated with Extraversion, though analysis at the primary factor (facet) level showed many traits from all five factors were strongly correlated with the six FIRO-B scores. Regressing the six FIRO-B facets onto each of the Big Five in turn showed all were significant particularly for Expressed Inclusion and Wanted Control. The second study also showed considerable and logical overlap between the six FIRO-B scales and the 11 dysfunctional personality strategies as measured by the HDS. There were also strong correlational patterns for the Cautious, Reserved, Colourful and Dutiful type disorders. The third study showed the FIRO-B was statistically associated with both cognitive ability tests though it only accounted for small percentages of the explained variance. Expressed Control was the most consistently correlated of the intelligence test scores. Despite the fact that many explicable associations were found between the FIRO-B and other measure the effect sizes were not large. Thus only 4% of the trait facet scores and 4.5% of the HDS showed medium effect sizes. Results are discussed in terms of the usefulness and possible discriminant validity of the instrument for use in selection and assessment. 1. Introduction I t is now almost 50 years since the publication of the Fundamental Interpersonal Relations Orientation (FIRO) scales. In 1958 Schutz published FIRO: a three dimensional theory of interpersonal behaviour. Over the years both the theory upon which it was based and the instrument itself has been updated (Schutz, 1992). Further because of its popularity especially with organizational psychologists and management consultants in Great Britain and elsewhere in the English speaking world it has been standardized for use in Great Britain (Leigh, Cook, Kendall, & McHenry, 1997; Warr, Miles, & Platts, 2001). Despite its relative obscurity for academic personality theorists and psychometricians it remains used in clinical (Lee, 1996; Poorman & Seelau, 2001; Turner & Mayr, 1990; Youngs, 2004) and organizational (Fletcher & Baldry, 2000; Hill, 1974; Fisher, Macrosson, & Walker, 1995; Sellick, 1991; Willcoxson & Chatham, 2006) settings. Schutz’s (1958) theory is based on the assumption that ‘people need people’, and that all individuals seek & 2008 The Author. Journal compilation & 2008 Blackwell Publishing Ltd, 9600 Garsington Road, Oxford, OX4 2DQ, UK and 350 Main St., Malden, MA, 02148, USA Psychometric Correlates of FIRO-B Scores to establish compatible relationships with other individuals in their social interactions. The various measures that emerged from the theory are called the FIRO Awareness Scales and were designed primarily to help individuals with their self-awareness and of understanding their relation to other people (Schutz, 1978). Indeed the measure has been used to study self-awareness in the context of multi-source feedback (Fletcher & Baldry, 2000). The FIRO theory identifies three dimensions concerned with an individual’s typical interpersonal behaviour. The measure however appears to be unique in that a person receives two scores for every dimension: the extent to which a person expresses, manifests or shows a particular behaviour (that is the extent to which it is overt and observable) and the extent to which a person wants from other people a particular class of behaviours. The measure therefore allows for the possibility of measuring a difference or disparity score. The theory asserts that high difference scores lead to conflict for each of the three dimensions. The measure is theoretically based on people’s fear of rejection, failure and intimacy: the three dimensions measured by this test. The theory asserts that striving for compatibility in interactions, leads to the development of three primary interpersonal needs that must be satisfied. The first is the need for inclusion, which is a need to maintain a relationship with other people, to be included in their activities, or to include them in the individual’s own activities. All individuals seek to belong to a group, but at the same time they want to be left alone. There is always a trade-off between tendencies toward introversion and extraversion. Therefore, individuals differ in their relative need strength on two aspects of the need for inclusion: the need to include others, or Expressed Inclusion, and the need to be included by others, or Wanted Inclusion. A second fundamental interpersonal need, according to Schutz (1958), is a need for control: a need to maintain a satisfactory balance of power and influence in relationships. All individuals supposedly need to exert control or direction over other people, while also remaining independent from them. They also feel the need to be controlled, directed or structured by others, but at the same time to maintain their freedom and personal discretion. Individual differences arise, therefore, in the need to control others, or Expressed Control, and the need to be controlled by others, or Wanted Control. A third need, according to the model, relates to affection, or the need to form close personal relationships with others. This need is not restricted to physical affection or romantic relationships, but includes needs for warmth, intimacy and love. All individuals need to form close, personal relationships with other people, & 2008 The Author Journal compilation & 2008 Blackwell Publishing Ltd 31 but at the same time want to avoid becoming overcommitted or smothered by them. There is a trade-off between high affiliative needs and high independence needs. Individuals therefore vary in their needs for Expressed Affection towards other people and for wanted affection to be expressed towards them. The FIRO-B thus yields six scores: Wanted and Expressed Inclusion, Wanted and Expressed Control and Wanted and Expressed Affection. The original manual (Schutz, 1978) and the ‘clinical manual’ (Ryan, 1977) offer an interpretation within each dimensions as well as the overall pattern of the six scores described as common and unique profiles. Furthermore the measure maybe unique in providing a formula to apply to dyad or group scores to assess compatibility. Ryan, Maguire, and Ryan (1970) noted that the total of the expressed and wanted scores is called the social interaction index which is the overall interpersonal need level. Individuals with high scores have strong needs to interact with other people. They are likely to be gregarious, friendly and involved with others. Low scorers are more typical of shy, reserved people. Probably the greatest usefulness of the six scores lies in analysing interpersonal compatibility – that is, in matching one person’s scores with another person’s profile. Individuals can be interpersonally incompatible in various ways. Hence the FIRO-B’s popularity in understanding team dynamics (Macrosson & Semple, 2001). A number of important studies were published by Di Marco et al. in the 1970s (DiMarco, 1974; DiMarco & Kaprick, 1974; DiMarco & Norton, 1974; DiMarco, Kuehl, & Wims, 1975; Kuehl, DiMarco, & Wims, 1975). DiMarco (1974) found that low incompatibility scores result in more favourable attitudes of subordinates toward managers. Obradovic (1962) found that teacher attitudes are more favourable towards students when compatibility scores are high. Hutcherson (1963) found that students achieve higher levels in classes when compatibility with the teachers is high. DiMarco et al. (1975) found FIRO scores logically, but modestly, related to leadership style. Kuehl et al. (1975) found strong significant correlations between leadership style (specifically consideration and structure) and all the six FIRO dimensions. Friends have also been found to be chosen more often from among those with compatible scores. There is also evidence that groups composed of compatible individuals are more satisfying for members, and more effective, than groups composed of incompatible individuals. Reddy and Byrnes (1972) and others (Shalinsky, 1969; Schutz, 1958) found more interpersonal attraction among members, more positive group climate, more co-operative behaviour on tasks, more productivity in accomplishing tasks, faster problem solving, fewer errors in solving problems, and less hostility among members. International Journal of Selection and Assessment Volume 16 Number 1 March 2008 32 Researchers interested in using new instruments are naturally interested in the psychometric properties of the instrument. The manual of the test (Schutz, 1988) reports numerous concurrent validity studies, but relatively few construct validity studies. Various reviewers have sought to discover the concurrent validity or overlap between the FIRO-B and other measures like field dependence (McRae & Young, 1990), adaptiveinnovative cognitive style (Tullett & Davies, 1999) and team role preferences (Fisher, Macrosson, & Semple, 2001). However, this research effort has been piecemeal and non-systematic. The test manual reports good test–retest reliability, although there remains serious doubt about the internal reliability of the measure (Hurley, 1989, 1992). Mahoney and Stasson (2005) have, however, reported highly satisfactory Cronbach’s a scores in excess of .83 for all six scales. Reviewers have pointed to a number of problems with the measure. These include low internal reliability (Furnham, 1996; Salminen, 1988), overlap and lack of independence of the six FIRO-B scales (DiMarco et al., 1975) problems of social desirability (Salminen, 1988) but also low correlations with other measures assessing very similar constructs (Floyd, 1988; Hurley, 1989). From a research perspective many studies consider FIRO-B scores as trait dimensions. There remain numerous popular instruments to measure traits based on different theories, however, most new trait constructs need to be located in personality factor space which is now considered to be the Five Factor Model (Petrides, Pita, & Kokkinaki, 2007). Indeed Furnham (1996) reported 10 studies all examining the relationship between the Big Five (as measured by the NEO-PI) and other well established and well-used measures of personality including the 16PF, CPI, EPPS and EPQ. This paper reports three studies that attempt to assess the relationship between the six FIRO-B scores and personality as well as cognitive functioning. Indeed these three studies are a direct attempt to examine the concurrent and construct validity of the measure by examining its relationship to other well established and possibly psychometrically superior measures. 2. Study 1: relationship with the Big Five Despite some controversy (Eysenck, 1947, 1978, 1992) there is remarkable agreement among personality theorists in the validity of the Five Factor Model of Personality (Costa & McCrae, 1985, 1988, 1992; McCrae & Costa, 1985, 1989a, 1989b; De Fruyt & Salgado, 2003; Matthews & Deary, 1998). Further there is increasing agreement, and data, to show personality is important at work (Ones, Viswesvaran, & Dilchert, 2005). The Eysenckian measure has three superfactors International Journal of Selection and Assessment Volume 16 Number 1 March 2008 Adrian Furnham which Eysenck (1992) maintained, in lay language, assess the extent to which people moved towards (Extraversion), away from (Neuroticism) or against (Psychoticism) others. He also argued that advocates of the FFM erroneous split Psychoticism (or tough-mindedness) into three factors namely Openness, Disagreeableness and low Conscientiousness. However, the FFM model appears to be accepted by most personality researchers (Furnham, 2007). The Five-Factor Model has been criticized for its lack of theoretical explanations on the development and nature of the processes underlying some of its personality factors, particularly Openness, Agreeableness and Conscientiousness (see Matthews & Deary, 1998 for a detailed discussion). Yet researchers seem to agree on the existence of five main personality dimensions as well as on the advantages of assessing these dimensions through the NEO-PI-R. According to the Five Factor Model, there are five higher-order personality traits (or factors), namely Neuroticism, Extraversion, Openness to Experience, Agreeableness and Conscientiousness. Table 2 presents the complete NEO-PI-R (Costa & McCrae, 1992) super and primary traits also known as domains and facets. The first main personality trait is Neuroticism and can be described as the tendency to experience negative emotions, notably anxiety, depression and anger. Furthermore, Neuroticism finds its equivalent or similar expression in the Anxiety of Cattell’s model (Cattell, Eber, & Tatsuoka, 1970). Neurotic individuals can be characterized for their tendency to experience anxiety, as opposed to the typically calm, relaxed nature of stable (low Neuroticism) personalities. It is probable that high Neuroticism scores would be correlated positively with high Wanted Control and Affection. The second major personality dimension is Extraversion. This factor refers to high activity (arousal), the experience of positive emotions, impulsiveness, assertiveness and a tendency towards social behaviour (Busato, Prins, Elshout, & Hamaker, 2000). Conversely, low Extraversion (introversion) is characterized by rather quiet, restrained and withdrawn behavioural patterns. It is most likely Extraversion correlates significantly positively with both Inclusion scores. A third dimension, namely Openness to Experience, derived from the ideas of Coan (1974), and represents the tendency to be involved in intellectual activities, and experience new sensations and ideas (Busato et al., 2000). This factor is also referred to as Creativity, Intellect or Culture and Tender-mindedness or Affection. It comprises six scales, namely fantasy, aesthetics, feelings, actions, ideas, and values. In a general sense, Openness to Experience is associated with intellectual curiosity, aesthetic sensitivity, vivid imagination, behavioural flexibility and unconventional attitudes. People high on Openness to Experience tend to be dreamy, & 2008 The Author Journal compilation & 2008 Blackwell Publishing Ltd Psychometric Correlates of FIRO-B Scores imaginative, inventive and non-conservative in their thoughts and opinions (Costa & McCrae, 1992). Poets and artists may be regarded as typical examples of high Openness scorers (McCrae & Costa, 1989a). This factor seems unrelated to the six FIRO dimension scores. A fourth factor, Agreeableness (also known as Sociability), refers to friendly, considerate, and modest behaviour. This factor is associated with a tendency towards friendliness and nurturance (Busato et al., 2000). It comprises the subfacets of trust, straighforwardness, altruism, compliance, modesty and tendermindedness. Agreeable people can thus be described as caring, friendly, warm and tolerant (Costa & McCrae, 1992). It is probable Agreeableness is correlated positively with both Affection scores and negatively with Expressed Control. Finally, Conscientiousness is associated with responsibility and persistence (Busato et al., 2000). This factor includes the minor dimensions of competence, order, dutifulness, achievement-striving, self-discipline and deliberation. Conscientious individuals are best identified for their efficiency, organization, determination and productivity. This dimension of personality may therefore be associated with differences in performance. It is probably that Conscientiousness is modestly but positively correlated with Expressed Control. The FIRO-B is primarily aimed at measuring a person’s approach to interpersonal relations. Pincus, Gurtman, and Ruiz (1998) tried to integrate interpersonal circumplex model of Wiggins (1996) with the FFM model. They found some evidence of convergent validity but that ‘transitive autonomy-granting’ or letting others do their own thing was unrelated to the FFM. They indeed recommend attempts to ‘understand the interpersonalness of presumed non-interpersonal traits’ (p. 1642) which is part of the aim of the first study. More recently White, Hendrick, and Hendrick (2004) explored the relationship between the Big Five traits and three measures of relationships. They found Neuroticism negatively, and Extraversion positively, related to relationship satisfaction and intimacy. Three things are clear from this study. First, overall correlations were modest and never over r ¼.40 (N ¼ 196). Second, Openness seemed unrelated to all the relationship variables measured. Third, as the authors comment, personality variables do influence relationships and ‘should not be overlooked or underestimated’ (p. 1528). Indeed they recommend that these links are further investigated which is done in the first study. Few studies have looked at the overlap between the FIRO-B and the Big Five Scores. Furnham (1990) found four of the traits correlated with the FIRO-B but most correlations were modest. Extraversion was positively significantly correlated with five of the six FIRO-B measures (see Table 1) and Conscientiousness with none. More recently Mahoney and Stasson (2005) reported a correlational study comparing the FIRO-B & 2008 The Author Journal compilation & 2008 Blackwell Publishing Ltd 33 and 44-item measure of the Big Five with satisfactory internal reliability. The participants were 192 American students. The results showed Expressed Inclusion was positively correlated with Extraversion and Agreeableness, Wanted Inclusion with Extraversion, Expressed Control with Extraversion, Wanted Control positively with Neuroticism and negatively with Conscientiousness and Extraversion, Expressed and Wanted Affection with Extraversion, Agreeableness and Openness. The significant correlation ranged from r ¼.23 to .49. The authors also reported the intercorrelation matrix for the six FIRO-B scores. Many were highly intercorrelated (ro.60): thus Expressed Affection was highly correlated with Expressed Inclusion, Wanted Affection and Wanted Inclusion. Further Wanted Inclusion was correlated very highly with Expressed Inclusion and Wanted Affection. This led the authors to suggest that the FIRO-B is actually a two dimensional measure which taps into Dominance (Control) and Socio-Emotional Affect (Inclusion plus Affection). Dancer and Woods (2006) recently correlated the FIRO-B scores with the Big Five as derived from the 16PF5. Their factor analysis of the FIRO-B suggested a two factor solution. They found that 16PF5 factors of Anxiety, Self-Control and Tough-Mindedness were distinct from the FIRO scores but that the factors Social Extraversion, Social Control and Social Independence were. Many of the popular measures of personality (e.g., the MBTI) do not appear to measure Neuroticism, regarded by all as a fundamental dimension of personality (McCrae & Costa, 1985, 1989a, 1989b). It would appear, despite the interest in the clinical applications of the FIRO-B, that it does not measure Neuroticism at the domain or facet level. Second, following the correlation studies of Furnham (1996) and Mahoney and Stasson (2005) that FIRO-B taps only into two of the FFM factors. This inevitably limits its use as a comprehensive measure of personality. Previous studies in this area have been almost exclusively correlational. This study uses regressions to test the hypotheses that the FIRO-B is essentially only a measure of Extraversion and Agreeableness. It aimed first to explore evidence for the threefold dimensionality of the FIRO through factor analysis. Second, it aimed to test probably theoretically derived relationship between four of the Big Five factors and all the six FIRO factors. 3. Method 3.1. Participants There were a total of 2603 participants of whom 87% were males. They were all middle to senior managers of a multinational communication organization. They ran- International Journal of Selection and Assessment Volume 16 Number 1 March 2008 34 ged in age from their late 30s to their middle 50s (mean age ¼ 40.3 years). This group completed three questionnaires. 3.2. Measures 3.2.1. NEO personality inventory form S (NEO-PI; Costa & McCrae, 1985) The NEO Personality Inventory is based upon the fivefactor model of trait personality (Costa & McCrae, 1985). The five factors or dimension of personality measured by this inventory are Neuroticism, Extraversion, Openness to Experience, Agreeableness and Conscientiousness. Each single factor/domain consists of six primary factors/facets which can be summed to form a total domain score. The inventory is composed of 240 self-descriptive statements to which respondents use a five-point scale in Likert formal anchored by strongly agree and strongly disagree. The manual provides impressive evidence of both reliability and validity. 3.2.2. FIRO-B (Schutz, 1958) This is a 54-item questionnaire: 24 questions are completed on a six-point scale (from nobody to most people) where respondents compare their behaviour preferences and patterns with other people. The remaining questions are completed on a six-point scale (from never to usually) which describes usual patterns of behaviour. The test manual provides impressive evidence of the reliability of the measure and also evidence of concurrent and predictive validity though some studies have shown much lower internal reliability (Furnham, 1996). However, recent work on British data showed acceptable as ranging from .68 to .91 (Furnham & Moyle, 2000). 3.3. Procedure Participants were required to attend a middle management assessment centre where they completed the questionnaires. The assessment was aimed at determining the suitability of each manager for promotion. Each manager was given feedback on the results, including how he/she related to the test norms as well as his/her colleagues. Because data collection was done at an assessment centre it is possible that scores may be distorted through impression management processes. This could lead to defensiveness on the part of participants with truncated scores and reduced variance. Examination of both sets of scores suggests this may have occurred but that there remained considerable variations in each dimension of each measure. International Journal of Selection and Assessment Volume 16 Number 1 March 2008 Adrian Furnham 4. Results 4.1. Preliminary analysis The mean and standard deviations of the scores from this sample were compared with manual-derived population norms. All scores were normally distributed and no mean 4.8 of a standard deviation from population norms. This suggested no systematic bias in this data. Because of concerns about the factor structure of the FIRO-B a correlational and factor analysis of the six factors was performed. Correlations between the two Inclusion scales was high (r ¼.51) as between the two Affection scales (r ¼.56) yet much lower for Control (r ¼.11). The two Inclusion scales tended to correlate with the two Affection scales highly with the four correlations between r ¼.29 and .42. The exploratory, orthogonally rotated, factor analysis confirmed these two results with two clear factors. The two Inclusion (Wanted ¼ .70; Expressed ¼ .60) and the two Affection (Wanted ¼ .81 and Expressed .82) scores loaded on the first factor (eigen value 2.36) which explained 39.3% of the variance. The two Control factors loaded on the second factor (eigen value 1.12) which accounted for 18.66% of the variance. Therefore this does seem evident of a two rather than a three factor model. 4.2. Main analysis First correlations were computed. Table 1 shows correlations between the Big Five and the six FIRO-B scores. It also compares the results of another comparable study (Furnham, 1996). Three observations are worth making. First, the results of the two studies tend to be very similar suggesting the results are robust. Second, only four of the 30 (7.5%) correlations are over 4.30 suggesting a very modest overlap between the two questionnaires. Third, Extraversion seems significantly positively correlated with five of the six FIRO-B scores while correlations between the other Big Five measures are very modest. All of the hypotheses tentatively suggested in the introduction were confirmed. Table 2 shows the correlations at the primary factor level. Expressed Inclusion is positively correlated with all six Extraversion scores particularly gregariousness. Wanted Inclusion is correlated less consistently with Extraversion though with little else. Expressed Control was correlated r4.20 with two Extraversion (E3, E4) and one Conscientiousness trait (C4) and negatively with four traits from Agreeableness. Wanted Control seemed mostly correlated with four of the six Neuroticism traits and negatively correlated with five of the six conscientiousness traits. Expressed Affection was positively correlated with five primary factor traits r4.20 (E1, E2, O3, A1 and A3). Interestingly, Wanted Affec- & 2008 The Author Journal compilation & 2008 Blackwell Publishing Ltd Psychometric Correlates of FIRO-B Scores 35 Table 1. Correlations between the Big Five (NEO-PI-R) and the FIRO-B (N ¼ 2603) X SD X SD Neuroticism Extraversion Openness Agreeableness Conscientiousness 65.56 127.14 120.96 118.53 132.97 19.42 18.22 18.51 15.67 17.38 EI WI EC WC EA WA 5.14 1.73 3.66 2.81 5.20 2.47 3.23 1.89 3.69 1.94 4.96 1.81 .12 (.18) .45 (.47) .15 (.07) .06 (.05) .13 (.14) .04 (.06) .30 (.42) .12 (.16) .06 (.08) .04 (.09) .08 (.02) .26 (.26) .03 (.17) .30 (.11) .12 (.00) .17 .08 .00 .11 .17 .06 (.10) .38 (.44) .16 (.15) .15 (.11) .08 (.14) .01 (.04) .25 (.27) .10 (.12) .16 (.15) .07 (.13) (.24) (.03) (.13) (.07) (.02) Note: Correlation r4.06, po.01. Correlations over .25 are shown in bold for emphasis. Results of Furnham (1996) (N ¼ 176) are in brackets. EI, Expressed Inclusion; WI, Wanted Inclusion; EC, Expressed Control; WC, Wanted Control; EA, Expressed Affection; WA, Wanted Affection; FIRO, Fundamental Interpersonal Relations Orientation. Table 2. Correlations between the 30 facets (primary factors) and the FIRO-B subscales (N ¼ 2593) EI WI EC .10 .07 .11 .15 .03 .11 .03 .06 .05 .07 .06 .05 .11 .07 .12 .13 .06 .20 WC AE WA .16 .01 .17 .13 .09 .20 .03 .06 .05 .11 .07 .08 .00 .07 .01 .01 .06 .03 N1 N2 N3 N4 N5 N6 Anxiety Anger-host Depression Self-confidence Impulsiveness Vulnerability E1 E2 E3 E4 E5 E6 Warmth Greg Assertiveness Activity Excite-Sk Post Emot .39 .50 .24 .22 .26 .27 .27 .34 .12 .12 .20 .18 .03 .12 .43 .31 .12 .08 .02 .04 .17 .10 .00 .02 .45 .38 .17 .16 .17 .28 .34 .27 .08 .08 .12 .19 O1 O2 O3 O4 O5 O6 Fantasy Aesthetics Feelings Actions Ideas Value .04 .07 .15 .15 .10 .11 .06 .03 .11 .09 .07 .12 .00 .05 .09 .05 .01 .09 .07 .00 .01 .07 .07 .04 .08 .10 .22 .09 .08 .06 .06 .07 .16 .04 .01 .04 A1 A2 A3 A4 A5 A6 Trust Straight forward Altruism Compliance Modesty Td Minded .16 .05 .19 .02 .06 .05 .15 .04 .16 .01 .06 .05 .01 .27 .11 .27 .28 .22 .07 .02 .02 .12 .14 .04 .21 .00 .29 .05 .06 .13 .19 .05 .26 .09 .04 .13 C1 C2 C3 C4 C5 C6 Competence Order Dutifulness Achieve St Self-discipline Deliberation .15 .05 .10 .15 .13 .00 .08 .00 .04 .03 .05 .01 .18 .01 .09 .24 .10 .06 .17 .09 .11 .17 .13 .11 .09 .05 .07 .07 .09 .00 .07 .03 .08 .02 .06 .03 Note: Correlations over .20 are shown in bold for emphasis. Correlations at r4.06, po.001. EI, Expressed Inclusion; WI, Wanted Inclusion; EC, Expressed Control; WC, Wanted Control; EA, Expressed Affection WA, Wanted Affection; FIRO, Fundamental Interpersonal Relations Orientation. tion showed a similar pattern of correlations. Overall it did seem apparent that the correlations between the Big Five were similar when examining the Wanted and Expressed dimensions of the three factors of the FIRO-B. Table 3 shows the results of five multiple regressions which have each of the Big Five as a criterion variable and the six FIRO-B scales as the predictor variables. All were significant. The first regression with Neuroticism as the criterion variable, showed that those with high & 2008 The Author Journal compilation & 2008 Blackwell Publishing Ltd Wanted Control, but low Expressed Inclusion and Expressed Control tended to have higher Neuroticism scores. The regression with Extraversion as the criterion variable accounted for nearly a third of the variance. Those with high Wanted and Expressed Inclusion, high Expressed Control and Affection but low Wanted Control tend to be more Extraverted. The third regression was significant but did not account for very much of the variance. Results International Journal of Selection and Assessment Volume 16 Number 1 March 2008 36 Adrian Furnham Table 3. Results for the five multiple regressions EI WI EC WC EA WA F(6, 2596) Adj R2 Neuroticism Extraversion Openess b b t b 17.22*** 3.00** 11.05*** 11.16*** 10.79*** .34 .10 .05 .00 .05 .12 .02 17.80*** .04 t .15 6.29*** .01 .42 .08 3.98*** .21 10.80*** .04 1.48 .04 1.78 28.39*** .06 .34 .06 .19 .18 .22 .00 199.67*** .32 Agreeableness Conscientiousness t b b 4.34*** 2.12* .25 2.49** 4.79*** .72 .43 1.94* .00 .26 .32 17.79*** .12 6.53*** .08 3.31*** .12 5.18*** 73.83*** .14 t t .15 6.70*** .03 1.36 .11 5.79*** .22 11.00*** .03 1.12 .03 1.24 34.05*** .07 Note: ***po.001, **po.01, *po.05. Table 4. Regression with Difference scores as the criterion variable and Big Five as predictors Neuroticism Extraversion Openness Agreeableness Conscientiousness F(5. 590) Adj R2 Inclusion difference Control difference Affection difference b t b t b t .03 .04 .02 .04 .04 2.48* .01 1.19 1.44 .67 1.69 1.98* 5.32*** 8.62*** 1.52 18.73*** 7.05** .01 .15 .01 .00 .03 13.80*** .04 .72 6.72*** .52 .03 1.12 .11 .18 .03 .34 .14 131.16*** .20 Note: ***po.001, **po.01, *po.05. suggested that those who Expressed their Affection and Inclusion, and Wanted Inclusion, but not Control, tended to be Open. The regression for Agreeableness accounted for more of the variance (14%) and this indicated that those with low Expressed but high Wanted Control, those that both Expressed and Wanted Affection and those that Expressed needs for Inclusion tended to be agreeable. The final regression showed three FIRO-B scores predicted Conscientiousness. Those with high Expressed Inclusion and Control but low Wanted Control tended to be most Conscientiousness. Finally the difference scores between Expressed and Wanted in all three dimensions were calculated. Distributions of the difference scores were normal. Because Wanted was subtracted from Expressed a high positive score meant higher expressed than wanted while a negative score indicated the reverse. Table 4 shows that whilst all three regressions were significant two accounted for only very small amounts of the variance. Difference in Control, however, did yield a highly significant results and indicated that Stable, Extraverted, Disagreeable, Conscientiousness people tended to want more to Control others than being controlled by them. The clinical interpretation manual describes the high expressed, low wanted person as ‘mission impossible’: confident, with an intense need for recognition and possible over compensating for some imagined inferiority (i.e., they have fear of failure). On the other International Journal of Selection and Assessment Volume 16 Number 1 March 2008 hand this tends to be the profile of successful leaders in industry (Judge, Bono, Ilies, and Gerhardt, 2002). Overall these results suggest three things. First, many of the six FIRO scales are logically, significantly and positively related to Extraversion. Second, the FIRO-B scores seems essentially unrelated to three of the Big Five dimensions namely Neuroticism, Openness and Conscientiousness. Third, the FIRO-B is essentially an instrument measuring two, rather than three dimensions. This accords with the conclusion of Mahoney and Stasson (2005). 5. Study 2: relationship with ‘dark side’ factors 5.1. Dysfunctional interpersonal dispositions The manual of the FIRO scale (Schutz, 1978) describes research using the FIRO-B under five headings: application to normal populations; abnormal populations; in the field of education; in the field of criminology and with the aim of studying compatibility in various settings. The clinical interpretation provided by Ryan (1977) divides each dimension into 9–10 scores depending with labels and interpretation attached. Thus for the Control dimension there are those with low scores on Expressed and Wanted called ‘Rebels’; high Expressed, low Wanted called ‘Mission Impossible’; low & 2008 The Author Journal compilation & 2008 Blackwell Publishing Ltd Psychometric Correlates of FIRO-B Scores 37 Table 5. Description of the 11 dark side factors HDS themes Excitable Sceptical Cautious Reserved Leisurely Bold Mischievous Colourful Imaginative Diligent Dutiful Moody and hard to please; intense but short-lived enthusiasm for people, projects, or things Cynical, distrustful, and doubting others’ true intentions Reluctant to take risks for fear of being rejected or negatively evaluated Aloof, detached and uncommunicative; lacking interest in, or awareness of, the feelings of others Independent; ignoring people’s requests and becoming irritated or argumentative if they persist Unusually self-confident; feelings of grandiosity and entitlement; over-valuation of one’s capabilities Enjoying risk taking and testing the limits; needing excitement; manipulative, deceitful, cunning and exploitive Expressive, animated and dramatic; wanting to be noticed and needing to be the centre of attention Acting and thinking in creative and sometimes odd or unusual ways Meticulous, precise and perfectionistic, inflexible about rules and procedures; critical of other’ performance Eager to please and reliant on others for support and guidance; reluctant to take independent action or to go against popular opinion HDS, Hogan Development Survey. Expressed average Wanted called ‘Loyal Lieutenant’, etc. These descriptions are indeed clinical and suggest that the FIRO-B dimensions are tapping into interesting and important areas of interpersonal dysfunctionality. Indeed the use of the FIRO-B in understanding both marital and work relationships suggests it is related to ‘abnormal’ as well as ‘normal’ behaviour. The second study is concerned with the relationship between the FIRO-B and a measure of ‘flawed interpersonal strategies’ namely the Hogan Developmental Survey (HDS) (Hogan & Hogan, 1997). Ideas for this measure were drawn from the literature on the personality disorders (Dyce, 1997; Oldham & Morris, 1991; Widiger, Costa, & McCrae, 2001; Widiger, Trull, Clarkin, Sanderson, & Costa, 2002; Wiggins & Pincus, 1989), but the authors argue that their measure is a non-clinical inventory to assess interpersonal behaviours that adversely affect performance at work. They note that the HDS was designed to improve interpersonal relations and identify personality characteristics underlying career derailment. The HDS manual shows, as predicted, considerable overlap between the HDS scales and the MMPI standard scales and personality disorder scales. Further factor analytic work suggested three dimensions labelled moving – toward, against and away from people based on Horney’s (1950) model of flawed interpersonal tendencies. Rolland and De Fruyt (2003) in a study of 130 French Military found personality disorders (labelled maladaptive traits) did not predict negative affect beyond the Big Five personality traits and believe they have no incremental validity in predicting (military) work behaviour. An overview of the item selection guidelines can be found in Hogan and Hogan (2001). As noted the HDS has been cross-validated with the MMPI personality disorder scales. Correlations (n ¼ 140) range from r ¼.45 for Antisocial, to r ¼.67 for Borderline (Hogan & Hogan, 2001). Fico, Hogan, and Hogan (2000) report co-efficient a between r ¼.50 and .70, with an average of r ¼.64 and test–retest reliabilities (n ¼ 60) over a three-month interval ranging from r ¼.50 to .80 with an & 2008 The Author Journal compilation & 2008 Blackwell Publishing Ltd average of r ¼.68. There were no mean-level differences between sexes, racial/ethnic groups or younger vs. older persons (Hogan & Hogan, 2001). This study will use the HDS to measure the flawed interpersonal strategies and it is now widely used in I/O research and practice. Description of the factors are shown in Table 5. Recently Furnham and Crump (2005) compared the HDS scores with the NEO-PI-R Big Five scores. Results revealed highest correlation between the HDI and NEO: showing Neuroticism correlating with Excitable and Cautious; Introversion correlating with Cautious and Detached and negatively with Colourful; Openness correlating with Imaginative and Conscientiousness with diligent. Given the description of the HDS it may be predicted Reserved, Cautious and Excitable people would score low on Expressed Inclusion while Mischievous individuals would score highly on Wanted Inclusion. It is also predicted that Bold and Dutiful would both correlate with the Control dimensions but in opposite directions: Bold would be positive with Expressed and negative with Wanted and Dutiful the other way around. Finally it is predicted that Expressed Affection would correlate positively with Colourful and Mischievous but negative with Reserved and Cautious. 6. Method 6.1. Participants There were 858 participants of which 743 were male. The total population completed the HDS and the NEO but only 431 participants completed all the measures of which 365 were males and 66 were females. Most (95.5%) were British but all had a good command of English. In all 67.7% were senior managers, 25.3% manager/supervisors and 8.1% specialists. They were all middle/senior managers who were taking part in an assessment centre sponsored by their organization. They were a subsample of participants in the first study. International Journal of Selection and Assessment Volume 16 Number 1 March 2008 38 Adrian Furnham Table 6. Correlations between the 11 personality disorders and the six FIRO types partialling out social desirability 1. 2. 3. 4. 5. 6. 7. 8. 9. 10. 11. Excitable Skeptical Cautious Reserved Leisurely Bold Mischievous Colourful Imaginative Diligent Dutiful EI WI EC WC EA WA .20** .03 .29*** .36*** .08* .12** .16*** .19*** .04 .05 .06 .05 .01 .07 .17** .08 .06 .12** .12** .05 .06 .13* .04 .16*** .20*** .00 .01 .31*** .14*** .17*** .08* .07 .16*** .07* .07* .22*** .04 .10** .17*** .06* .09** .06* .00 .25*** .19*** .08* .18*** .36*** .09* .09* .16*** .16*** .14** .04 .08* .08* .08 .07 .22*** .01 .04 .02 .08* .01 .08 .13** Note ***po.001, **po.01, *po.05. EI, Expressed Inclusion; WI, Wanted Inclusion; EC, Expressed Control; WC, Wanted Control; EA, Expressed Affection; WA, Wanted Affection; FIRO, Fundamental Interpersonal Relations Orientation. 6.2. Questionnaires Participants completed two measures. 6.2.1. HDS (Hogan & Hogan, 1997) The HDS was explicitly based on the DSM Axis II personality disorder descriptions, but it was not developed for the assessment of all the DSM disorders. The HDS focuses only on the core construct of each disorder from a dimensional perspective (Hogan & Hogan, 2001, p. 41). An overview of the item selection guidelines can be found in Hogan and Hogan (2001). The survey includes 154 items, scored for 11 scales, each grouping 14 items. Respondents are requested to ‘agree’ or ‘disagree’ with the items. The measure also has a social desirability scale. 6.2.2. FIRO-B (Schutz, 1958) As in Study 1. 6.3. Procedure As before. 7. Results Table 6 shows partial correlations between the 11 scales controlling for social desirability and the six styles that emerge from the FIRO-B analysis. Three quarters of the dark-side traits were significantly correlated with Expressed Inclusion and three at r4.20: Cautious, Reserved types tended to have low Expressed Inclusion scores. Four of the 11 dark side traits correlated with Wanted Inclusion: the strongest correlation indicating that Non-Reserved people Wanted Inclusion. Seven of the dark-side traits correlated significantly with Expressed Control; five at r4.20. They indicated that those who had higher Expressed Control scores tended to be Shrewd, less Cautious and Dutiful but more Bold, Mischievous and Colourful. International Journal of Selection and Assessment Volume 16 Number 1 March 2008 Nine of Wanted Control scores were significant, however, they were nearly all mirror opposites of the Expressed Control scores and with similar correlations. They appeared to indicate that those who Want Control were Dutiful and Cautious, but not Bold and Colourful. Ten of the correlations between expressed affection and the eleven scales. Those with high Expressed Affection scores tended to be less Enthusiastic, Shrewd, Careful, Independent, Focused, Arrogant, Charming, Dramatic, Eccentric and Dependent. Only four of the Wanted Affection scores were significant. Those with higher Wanted Affection scores tended to be less Excitable, Reserved, but more Dutiful, Bold and Colourful. The 11 personality disorders were then subjected to a VARIMAX rotated factor analysis (see Table 7). Four factors emerged similar to those reported in the manual (p. 1). Using the terminology of the manual the first factor was labelled moving against people; the second moving away from people, the third critical and the fourth diligent. These four factors were then regressed onto each of the six FIRO-B scales. Table 8 confirms the above results. Those who ‘move against people’ using HDS terminology tend to Express Inclusion, Control and Affection and do not Want Control. Those who ‘move away’ express little Inclusion or Affection and Want Control. Those who ‘move towards’ Express Inclusion and Control but do not Want Control. Table 9 shows the results of the regression, where the dark-side traits were predictor scores and the FIRO-B difference scores criterion scores. The first regression makes sense: Reserved individuals tend to have a larger disparity between their Expressed and Wanted score. The Control difference score was however most interesting. The higher participants scored on Bold, Sceptical and Excitable and the lower they scores on Cautious, Dutiful and Leisurely the more they wanted to be in Control in Social Settings. As noted earlier in the preliminary analysis (Study 1), when the FIRO-B is factor analysed two factors emerge with both Inclusion scales on the one factor and all the & 2008 The Author Journal compilation & 2008 Blackwell Publishing Ltd Psychometric Correlates of FIRO-B Scores 39 other four on the second. Two-factor scores were then computed and the 11 HDS items regressed onto them. The Control factor was significant [F(11, 639) ¼ 2.47, po.005, Adj R2 ¼ .03). The only significant predictor was Bold (b ¼ .14, t ¼ 2.93, po.01)]. The second factor also showed significant findings (F(11,639) ¼ 14.21, po.000, Adj R2 ¼ .18). There were four significant predictors: Reserved (b ¼ .33, t ¼ 7.99, po.001), Dutiful (b ¼ .14, t ¼ 3.72, po.001), Mischievous (b ¼ .10, t ¼ 2.24, po.05) and Diligent (b ¼ .09, t ¼ 2.31, po.05). If one compares Tables 1 and 6 it is clear that the FIRO-B scores seem more consistently correlated with dysfunctional interpersonal traits than ‘normal’ traits. Second, it is the Control dimensions and disparity that seems most closely related to the dysfunction traits. Third, some dysfunction traits particularly Reserved, Cautious, Mischievous and Colourful were significantly correlated with at least two-thirds of the FIRO scales. 8. Study 3: relationship with cognitive abilities 8.1. Cognitive ability 9. Method There remains a great debate in psychology whether there is, or not, any relationship between the two great strands in differential psychology: intelligence (cognitive ability measured by power tests) and personality (traits measured by preference tests) (Moutafi, Furnham, & Table 7. Varimax rotation of the 11 personality disorders Colourful Mischievous Imaginative Bold Excitable Cautious Leisurely Reserved Diligent Sceptical Dutiful Eigen value Variance .78 .77 .71 .62 9.1. Participants A total of 2454 participants were recruited in this study. Of these 818 were females. Their age ranged from 23 to 64, with a mean age of 42.1. They were all British adults, tested by a business psychology consulting company as part of an assessment exercise. Again, those were a subsample of the total population. 9.2. Materials .74 .74 .57 .51 .80 .56 2.65 24.13% Crump, 2003). Many recent studies show replicable, modest correlations but it is uncertain whether these relationships are more to do with test-taking style or actual performance (Chamorro-Premuzic & Furnham, 2006). What, however, is clear is that cognitive ability is a powerful and robust predictor of success at work. This study looks at the overlap between the FIRO-B and two ability measures. It appears as if no studies have been done in this area: notably the association of tests of abilities and those concerned with interpersonal relationships. More recently Furnham (2006) showed that some HDS scales were related to intelligence namely that Cautious types scored higher on tests and Diligent types lower on intelligence tests. Given that the three dimensions of personality (Openness, Neuroticism and Conscientiousness) that are most related to cognitive ability test scores and are least correlated with the FFM factors (see Study 1) it is predicted that all correlations will be very modest. However, given the norms from various occupational groups specified in the manual it is predicted at Wanted Control would be positively correlated with the cognitive ability test scores. 1.87 17.01% 1.17 10.65% .82 1.09 9.92% 9.2.1. The Watson–Glaser critical thinking appraisal (WGCTA; Watson & Glaser, 1980) This is a timed (40 min) ability test assessing the ability to define a problem, to select pertinent information for its solution, to recognize stated or unstated assumptions, to formulate and select hypotheses, and to draw valid conclusions. The test consists of five subtests: (i) Table 8. Correlations between HDI and FIRO-factors Hogan factors 1. 2. 3. 4. Moving against Moving away Moving toward Dutiful FIRO scores EI WI EC WC EA WA .22** .24** .18** .14* .10 .00 .10 .08 .35*** .03 .15* .19** .18 .20** .19** .24** .23** .27** .10 .19** .11 .13 .12 .16** Note: ***po.001, **po.01, *po.05. EI, Expressed Inclusion; WI, Wanted Inclusion; EC, Expressed Control; WC, Wanted Control; EA, Expressed Affection WA, Wanted Affection; FIRO, Fundamental Interpersonal Relations Orientation. & 2008 The Author Journal compilation & 2008 Blackwell Publishing Ltd International Journal of Selection and Assessment Volume 16 Number 1 March 2008 40 Adrian Furnham Table 9. Regressions with difference scores as criteria and the disorders as predictor scores 1. 2. 3. 4. 5. 6. 7. 8. 9. 10. 11. 12. F (12, 618) Adj Excitable Sceptical Cautious Reserved Leisurely Bold Mischievous Colourful Imaginative Diligent Dutiful SD Inclusion difference Control difference Affection difference b t b t b t .08 .05 .03 .12 .06 .03 .08 .02 .05 .00 .02 .05 2.98*** .04 1.63 1.07 .62 2.68** 1.43 .67 1.70 .25 1.06 .07 .51 1.01 .09 .11 .22 .04 .09 .26 .05 .03 .04 .03 .18 .06 13.87*** .20 2.01* 2.54** 4.79*** 1.00 2.21* 5.93*** 1.12 .56 .82 .78 4.67*** 1.59 .00 .02 .08 .06 .07 .02 .06 .04 .07 .00 .09 .08 2.07* .02 .06 .33 1.64 1.18 .48 .48 1.09 .81 1.65 .21 2.19* 1.93 Note: ***po.001, **po.01, *po.05. The Inference test consists of three statements, each followed by a number of proposed assumptions. Participants have to discriminate among degrees of truth or falsity of the assumption based on the given data. (ii) The Recognition of Assumptions test consists of five statements, each followed by several proposed assumptions. Participants have to decide for each assumption whether a person, in making the given statement, is really making that assumption. (iii) The Deduction test consists of six statements, each followed by several assumptions. Participants have to determine whether certain conclusions necessarily follow from the information given in the statements. (iv) The Interpretation test consists of given short paragraphs, each followed by several conclusions. Participants have to decide whether the given conclusions logically follow beyond a reasonable doubt from the information given in the paragraph. (v) The Evaluation of Arguments test consists of five questions, each followed by several arguments. Participants have to distinguish between strong and weak arguments. Studies on the WGCTA have provided evidence for the test’s reliability and validity (Watson & Glaser, 1980). 9.2.2. Graduate and managerial assessment: abstract (GMA:A; Blinkhorn, 1985) This is a timed (30 min) high level test of abstract reasoning ability, which measures the ability to think conceptually, to discover underlying patterns within a set of information, and to switch easily between contexts and level of analysis. The test is made up of 115 questions split into 23 groups of five questions. There are two different scoring methods, the Lenient score (GMA-L), which measures the total number of individual questions that are correct, and the Harsh score (GMA-H), in which a mark is assigned for each group of five questions that are answered correctly. The manual International Journal of Selection and Assessment Volume 16 Number 1 March 2008 provides evidence of the test’s reliability (a coefficients ranging from .83 to .92) and validity (correlation of .50 with Raven’s Advanced Progressive Matrices; Blinkhorn, 1985). 9.2.3. FIRO-B (Schutz, 1958) As before (see Study 1). 9.3. Procedure As before (see Study 1). 10. Results Table 10 shows correlations between the two intelligence tests and the six FIRO-B scores. Consistently, Expressed Inclusion and Control correlated positively with both test scores. Table 11 shows the results of the multiple regression. They indicated three things: although both were significant they tend to account for small percentages of the variance (2–3%); second results are reasonably comparable between the two tests; third, people high on Expressed Control but low on Expressed Affection seem to score most highly on the intelligence test. The size of the correlations are similar to many other studies in the area (Moutafi, Furnham, & Paltiel, 2005). 11. General discussion Nearly all personality tests are obliged to demonstrate not only their reliability and construct validity but their uniqueness (i.e., discriminant validity). Most concurrent validity studies seek to establish correlations and over- & 2008 The Author Journal compilation & 2008 Blackwell Publishing Ltd Psychometric Correlates of FIRO-B Scores 41 lap with other established measures specifically discriminant, convergent and, ideally, incremental validity. Despite the popularity of the FIRO-B in organizational consultancy, development and training it has not been the focus of much psychometric assessment partly because it is, quite rightly, seen as not so much a trait measure but one interpersonal relationship preference. This study sought to remedy this situation. It is not surprising that there were numerous significant correlations between the NEO Big Five measure [at both superfactor (domain) and primary (facet) factor level] and the six FIRO-B dimensions. The Big Five claims to be a parsimonious yet comprehensive measure of personality functioning. The central questions for a concurrent validity study is the logic and size of the correlations. This study replicated two others on a much small population (Furnham, 1996; Mahoney & Stasson, 2005). The size of the sample meant that nearly all the correlations were significant but only six (a fifth) were over r ¼.20. Interestingly five of these were correlations with Extraversion which may reflect the fact that the FIRO is a measure of relationships. Indeed the pattern of the data suggested that the FIRO scores are positively correlated with Extraversion (and Openness and Conscientiousness) but negatively correlated with Neuroticism. It is perhaps unsurprising that many of the Table 10. Correlations between the two cognitive ability test scores and the six FIRO-B factors Expressed Inclusion Wanted Inclusion Expressed Control Wanted Control Expressed Affection Wanted Affection GMA* WGCTA** .06* .11** .10 ** .03 .00 .04 .06* .04 .14** .00 .04 .00 Note: *N ¼ 2457, **N ¼ 1667. FIRO, Fundamental Interpersonal Relations Orientation; WGCTA, Watson–Glaser critical thinking appraisal; GMA, graduate and managerial assessment. correlations between Neuroticism (four ro.10) and Agreeableness (two ro.10) were so low. However, the primary factor (facet) analysis of the data was more interesting and probably more useful in understanding the relationship between these two measures. The data suggested that the FIRO-B measured neither Openness nor Conscientiousness confirming, in part, the work of White et al. (2004). It also indicated that Wanted Control seemed not to fit in Big Five personality space. Thus it is this dimension that seems most unique in the in instrument. It is also the dimensions consultants claim the most useful in understanding senior management functioning (Pendleton, 2003). Certainly the regressions seem to indicate relatively little ‘overlap’ between the two measures. Thus the regressions of the six FIRO-B scales on the criterion variables of the total Neuroticism, Openness and Agreeableness score indicated that they accounted for o10% of the variance. It was only Extraversion that showed an overlap of about a third of the variance. This appears to be a fairly consistent finding with the FIRO-B. That is, it has low correlations with other measures some of which have similar constructs. This result could be read in either of two ways: it could be seen as a good indicator that this measure of interpersonal relations behaviour captures unique variance. It could also be read as indicating possible problems with the theory or the measure suggesting low construct validity. Certainly the evidence from applied studies suggest the former rather than the latter reaction may be more appropriate. What this study did not show was that the FIRO-B had incremental validity in predicted any particular form of behaviour specifically social interaction in teams or interpersonal compatibility as measures of this were not available. If it was possible to show incremental validity it would certainly justify use of the measure in specific contexts. Certainly the Wanted Control dimension seems less represented in the Big Five factor space. The manual Table 11. Regressional results regression the two intelligence scores only to six FIRO-B scores GMA Expressed Inclusion Wanted Inclusion Expressed Control Wanted Control Expressed Affection Wanted Affection WGCTA b t b t .01 .10 .08 .00 .07 .03 F(6, 447) ¼ 8.96*** Adj R2 ¼ .02 .44 4.24*** 3.92*** .01 2.64** 1.11 .06 .02 .13 .01 .09 .01 F(6, 660) ¼ 7.83*** Adj R2 ¼ .03 2.08* .70 5.47*** .41 2.83** .43 Note: ***po.001, **po.01, *po.05. FIRO, Fundamental Interpersonal Relations Orientation; WGCTA, Watson–Glaser critical thinking appraisal; GMA, graduate and managerial assessment. & 2008 The Author Journal compilation & 2008 Blackwell Publishing Ltd International Journal of Selection and Assessment Volume 16 Number 1 March 2008 42 describes ‘the meaning’ of Wanted Control Scores as someone who: ‘avoids surrendering control to others, while, a person with a higher score reveals a relatively greater readiness to abdicate. It is suggested that abdication of responsibility and acceptance of control results from a poor self-concept consisting of feelings of hopelessness, worthlessness, and inadequacy. Yet it could also indicate a means of obtaining gratification of narcissistic needs in the form of pleasurable indulgence’ (Ryan, 1977, p. 16). What this suggests is that this dimension of the FIRO is more related to psychopathology and the dysfunctional interpersonal behaviours. However what this study did indicate was that disparity/difference in control score is very strongly related to the Big Five factors particularly Agreeableness. Indeed what is most unique about the FIRO-B instrument is the possibility of calculating a disparity score which examines the difference between wants/needs and overt behaviour, though of course this is through a self-report measure. The second study showed that three scales – Bold, Colourful and Mischievous seemed closely related to many of the FIRO-B dimensions. Equally some scales e.g., Obsessive-Compulsive seemed less related to the FIRO-B dimensions no doubt because the latter instrument is particularly sensitive to interpersonal or social factors. The results however show two clear patterns. First, it is the Expressed facet of all three dimensions that is more clearly related to the dysfunctional interpersonal behaviours with the exception perhaps of Control. Second, the different or disparity score between Expressed and Wanted is most clearly related to the Control dimension. Where the difference is greatest indicating a higher Expressed than Wanted score there is some evidence of Bold and Sceptical and low Dutiful and Cautious. This makes perfect sense and confirms the earlier findings. It is important to note that the dysfunctional interpersonal behaviours account for around a fifth of the variance in the disparity score. Note the clinical interpretation of one profile of the Control dimension: ‘Persons with extremely high expressed Control scores and extremely low wanted Control scores can and do make decisions and take on many responsibilities. Their self-concept is one of confidence and adequacy – so much so that they walk into areas of responsibility where most ‘angels fear to tread’. They have such an intense need for recognition that they are compulsively driven to do well. Typically, they are over-compensating for some real or imagined inferiority by compulsively taking on large amounts of responsibility, which they hope will earn recognition. Since they avoid anxiety by maintaining superiority, they are attracted to others who give them the recognition they desire, and also to those who do not make decisions for them or attempt to control them’. This International Journal of Selection and Assessment Volume 16 Number 1 March 2008 Adrian Furnham presents an interesting paradox. They are drawn to dependent persons but will hold them in contempt; they will demand that these persons make decisions, but if they do so, the decisions are quickly vetoed.’ (Ryan, 1977, p. 17). It is clear why this profile might be of particular interest in both clinical and business settings and why the FIRO-B scales are indeed related to the personality disorders. Successful business people tend to be bright, and low on Agreeableness which are correlates of Expressed Control (Chamorro-Premuzic & Furnham, 2006). The final study showed that FIRO-B scores are related to intelligence but that they account for relatively little of the variance. The regressional results indicate that where the results are consistent across the two measures of intelligence there is evidence that a high Expressed Control and low Expressed Affection score is associated with higher intelligence. It should be pointed out, however, that most of the studies that examine this overlap of personality traits and intelligence show significant and explicable findings but that the amount of variance accounted for is low (Chamorro-Premuzic, Furnham, & Moutafi, 2004; Moutafi et al., 2005). It is interesting to note that Expressed Inclusion for one test (WG) and Wanted Inclusion for the other (GMA) were significant suggesting that Inclusion may be a relevant variable to the acquisition of knowledge. This remains to be replicated and explored. Looking over the three studies as a whole it seems that it is the Control dimension of the FIRO-B, particularly Expressed Control that is most consistently linked with other traits, dysfunctional behaviours and intelligence. Those with high Expressed Control scores were Stable, Extraverted, Disagreeable, Conscientious people. They may tend to being Bold as well as Sceptical and Colourful but they are not Avoidant and Careful. Further they tend to be intelligent. All the correlates of Expressed control therefore suggest it is this relatively unique dimension of the FIRO-B that is the best predictor of success at work. There is now considerable evidence in all three research areas – traits, disorders and intelligence – that successful leaders have all the characteristics noted above. Thus Judge et al. (2002) found leaders tended to be Stable, Extraverted, Open and Conscientious. Similarly Hogan and Hogan (2001) have profiled leaders from a dark-side developmental perspective noting Narcissism (Bold) the most common trait. Equally there is now substantial evidence that intelligence is a requirement for success as a leader (Furnham, 2007). People at work are usually neither dependent, nor independent, but interdependent. They work within, with and through teams and dyads. The FIRO-B represents an instrument focused on the relationship pro- & 2008 The Author Journal compilation & 2008 Blackwell Publishing Ltd Psychometric Correlates of FIRO-B Scores cess. Its popularity in applied settings over the years suggests it has something particular to offer to those interested in diagnosing, counselling and training others. Hence it deserves more psychometric assessment as this study has attempted to do. What is most lacking however is studies of predictive and incremental validity. Those interested in selection and assessment are eager to show that a particular self-report test predicts actual work-related outcomes. Further to justify the use of any particular instrument, particularly used in conjunction with other better established measures, it is advisable and desirable to demonstrate incremental validity, over other trait measures similar concepts. Despite concerns with the dimensional structure of the FIRO-B which suggests it is measuring two rather than three dimensions (Mahoney & Stasson, 2005) it does seem that the Control dimension (particularly Expressed Control) is unique. Further this dimension correlates with traits, interpersonal strategies and cognitive abilities that have been demonstrated in various studies and meta-analyses to be predictors of individual success at work (Furnham, 2007). References Blinkhorn, S. (1985) Graduate and Managerial Assessment Manual and User Guide. Dorchester: Dorset. Busato, V., Prins, F., Elshout, J. and Hamaker, C. (2000) Intellectual Ability, Learning Styles, Achievement Motivation and Academic Success of Psychology Students in Higher Education. Personality and Individual Differences, 29, 1057–1068. Cattell, R., Eber, H. and Tatsuoka, N. (1970) Handbook for the 16 Personality Factor Questionnaire (16FF). Champagne: IPAT. Chamorro-Premuzic, T. and Furnham, A. (2006) Intellectual Competence and the Intelligent Personality. Review of General Psychology, 10, 251–267. Chamorro-Premuzic, T., Furnham, A. and Moutafi, J. (2004) The Relationship Between Estimated and Psychometric Personality and Intelligence Scores. Journal of Research in Personality, 38, 505–513. Coan, R. (1974) The Optimal Personality. New York: Columbia University Press. Costa, P. and McCrae, R. (1985) The NEO Personality Inventory Manual. Odessa, FL: Psychological Assessment Resources. Costa, P. and McCrae, R. (1988) From Catalogue to Classification: Murray’s Needs and the Five Factor Model. Journal of Personality and Social Psychology, 55, 258–265. Costa, P. and McCrae, R. (1992) Four Ways, Five Factors are Basic. Personality and Individual Differences, 13, 653–665. Dancer, L. and Woods, S. (2006) Higher-Order Factor Structures and Intercorrelations of the 16PF5 and FIRO-B. International Journal of Selection and Assessment, 14, 385–391. & 2008 The Author Journal compilation & 2008 Blackwell Publishing Ltd 43 De Fruyt, F. and Salgado, J. (2003) Applied Personality Psychology: Lessons learned from the IWO field. European Journal of Psychology, 17, 5123–5131. DiMarco, N. (1974) Superior–Subordinate Life Style and Interpersonal Need Compatibility as Determinants of Subordinate’s Attitudes Toward the Supervisor. Academy of Management Journal, 17, 575–578. DiMarco, N. and Kaprick, P. (1974) Relationships of Life Style and Interpersonal Need Orientation. Journal of Psychology, 86, 13–15. DiMarco, N., Kuehl, C. and Wims, E. (1975) Leadership Style and Interpersonal Need Orientation as Moderators of Changes in Leadership Dimension Scores. Personnel Psychology, 28, 210–218. DiMarco, N. and Norton, S. (1974) Life Style, Organisational Structure, Congruity and Job Satisfaction. Personnel Psychology, 27, 581–591. Dyce, J. (1997) The Big Five Factors of Personality and Their Relationship to Personality Disorders. Journal of Clinical Psychology, 53, 587–593. Eysenck, H.J. (1947) Dimensions of Personality. London: Routledge and Kegan Paul. Eysenck, H.J. (1978) The Development of Personality and its Relation to Learning. In: Murray Smith, S. (ed.), Melbourne Studies in Education. Melbourne University Press, Melbourne, Australia. pp. 134–181. Eysenck, H.J. (1992) Four Ways Five Factors are Not Basic. Personality and Individual Differences, 13, 667–674. Fico, J., Hogan, R. and Hogan, J. (2000) Interpersonal Compass Manual and Interpretation Guide. Tulsa, OK: Hogan Assessment System. Fisher, S., Macrosson, W. and Semple, J. (2001) Control and Belbin’s Team Roles. Personnel Review, 30, 578–588. Fisher, S., Macrosson, W. and Walker, C. (1995) FIRO-B: The power of love and the love of power. Psychological Reports, 76, 195–206. Fletcher, C. and Baldry, C. (2000) A Study of Individual Differences and Self-Awareness in the Context of MultiSource Feedback. Journal of Occupational and Organisational Psychology, 73, 303–319. Floyd, N. (1988) Interpersonal Orientation and Living Group Preferences: A validity check on the FIRO-B. Psychological Reports, 62, 923–929. Furnham, A. (1990) The Fakeability of the 16PF, Myers–Briggs and FIRO-B Personality Measures. Personality and Individual Differences, 11, 711–716. Furnham, A. (1996) The FIRO-B, the Learning Style Questionnaire and the Five-Factor Model. Journal of Social Behaviour and Personality, 11, 285–299. Furnham, A. (2006) Personality Disorders and Intelligence. Journal of Individual Differences, 27, 42–46. Furnham, A. (2007) Personality and Intelligence at Work. London: Routledge. Furnham, A. and Crump, J. (2005) Personality Traits, Types and Disorders. European Journal of Personality, 19, 167–184. Furnham, A. and Moyle, P. (2000). A Psychometric Evaluation of the FIRO-B. Unpublished paper. Hill, R. (1974) Interpersonal Needs and Functional Areas of Management. Journal of Vocational Behaviour, 4, 15–24. International Journal of Selection and Assessment Volume 16 Number 1 March 2008 44 Hogan, R. and Hogan, J. (1997) Hogan Developmental Survey Manual. Tulsa, OK: Hogan Assessment Centres. Hogan, R. and Hogan, J. (2001) Assessing Leadership: A view from the dark side. International Journal of Selection and Assessment, 9, 40–51. Horney, K. (1950) Neurosis and Human Growth. New York: Norlon. Hurley, J. (1989) Dubious Support for FIRO-B Validity. Psychological Reports, 65, 929–930. Hurley, J. (1992) Further Evidence Against the Construct Validity of the FIRO-B Scales. Psychological Reports, 70, 639–640. Hutcherson, D. (1963). Relationships Among Teacher–Pupil Compatibility, Social Studies, Grades, and Selected Factors. Unpublished doctoral dissertation. University of California, Berkeley. Judge, T., Bono, J., Ilies, R. and Gerhardt, M. (2002) Personality and Leadership: A qualitative and quantitative review. Journal of Applied Psychology, 87, 765–780. Kuehl, C., DiMarco, N. and Wims, E. (1975) Leadership Orientation as a Function of Interpersonal Need Structure. Journal of Applied Psychology, 60, 143–145. Lee, R. (1996) FIRO-B Scores and Success in a Positive Peer Culture Residential Treatment Programme. Psychological Reports, 78, 215–220. Leigh, V., Cook, M., Kendall, E. and McHenry, R. (1997). UK Standardisation of the FIRO-B. Oxford Psychometric Forum. Technical Report 2. Macrosson, W. and Semple, J. (2001) FIRO-B, Machiavellianism and Teams. Psychological Reports, 88, 1187–1193. Mahoney, J. and Stasson, M. (2005) Interpersonal and Personality Dimensions of Behaviour: FIRO-B and the big five. North American Journal of Psychology, 7, 205–216. Matthews, G. and Deary, I. (1998) Personality Traits. Cambridge: Cambridge University Press. McCrae, R. and Costa, P. (1985) Comparison of EPI and Psychoticism Scales with Measures of the Five-Factor Model of Personality. Personality and Individual Differences, 6, 587–597. McCrae, R. and Costa, P. (1989a) Reinterpreting the Myers– Briggs Type Indicators from the Perspective of the FiveFactor Model of Personality. Journal of Personality, 57, 17–40. McCrae, R. and Costa, P. (1989b) The Structure of Interpersonal Traits: Wiggins circumflex and the five-factor model. Journal of Personality and Social Psychology, 56, 586–595. McRae, L. and Young, J. (1990) Field Dependence and the FIRO-B. Perceptual and Motor Skills, 70, 493–494. Moutafi, J., Furnham, A. and Crump, J. (2003) Demographic and Personality Predictors of Intelligence. European Journal of Personality, 17, 79–94. Moutafi, J., Furnham, A. and Paltiel, L. (2005) Can Personality Factors Predict Intelligence? Personality and Individual Differences, 38, 1021–1033. Obradovic, S. (1962). Interpersonal Factors in the SupervisorTeacher Relationship. Unpublished doctoral dissertation. University of California, Berkeley. Oldham, J. and Morris, L. (1991) Personality Self-Portrait. New York: Bantam Books. International Journal of Selection and Assessment Volume 16 Number 1 March 2008 Adrian Furnham Ones, D., Viswesvaran, C. and Dilchert, S. (2005) Personality at Work. Human Performance, 18, 389–404. Pendleton, D. (2003). Using the FIRO in Consulting. Private communication. Petrides, K., Pita, R. and Kokkinaki, F. (2007) The Location of Trait Emotional Intelligence in Personality Factor Space. British Journal of Psychology, 98, 273–289. Pincus, A., Gurtman, M. and Ruiz, M. (1998) Structural Analysis of Social Behaviour (SASB). Journal of Personality and Social Psychology, 74, 1629–1695. Poorman, P. and Seelau, S. (2001) Lesbians who Abuse their Partners: Using the FIRO-B to assess interpersonal characteristics. Women and Therapy, 23, 87–105. Reddy, W. and Byrnes, A. (1972) Effects of Interpersonal Group Composition on the Problem Solving Behaviour of Middle Managers. Journal of Applied Psychology, 56, 516–517. Rolland, J.-P. and De Fruyt, F. (2003) The Validity of FFM Personality Dimensions and Maladaptive Traits to Predict Negative Affect at Work. European Journal of Personality, 17, 101–121. Ryan, B. (1977) Clinical Interpretation of the FIRO-B. Paulo Alto, CA: Consulting Psychologists Press. Ryan, B., Maguire, T. and Ryan, T. (1970) An Examination of the Construct Validity of the FIRO-B. Journal of Projective Techniques and Personality Assessment, 34, 419–425. Salminen, S. (1988) Two Psychometric Problems of the FIRO-B Questionnaire. Psychological Reports, 63, 423–426. Schutz, W. (1958) FIRO: A Three-Dimensional Theory of Interpersonal Behaviour. New York: Holt, RinehartWinston. Schutz, W. (1978) FIRO Awareness Scales Manual. Palo Alto, California: Consulting Psychologist Press. Schutz, W. (1988) Guide to Element B. Muir Beach, CA: WSA. Schutz, W. (1992) Beyond FIRO-B. Psychological Reports, 70, 915–937. Sellick, K. (1991) Nurses’ Interpersonal Behaviours and the Development of Helping Skills. International Journal of Nursing Studies, 28, 3–11. Shalinsky, W. (1969) Group Composition as a Factor in Assembly Effects. Human Relations, 22, 457–469. Tullett, A. and Davies, G. (1999) Cognitive Style and Affect. Personality and Individual Differences, 23, 479–485. Turner, J. and Mayr, S. (1990) Interpersonal Types Among Alcohol Abusers. Journal of Clinical Psychology, 46, 500–506. Warr, P., Miles, A. and Platts, C. (2001) Age and Personality in the British Population between 16 and 64 years. Journal of Occupational and Organisational Psychology, 74, 165–199. Watson, G. and Glaser, E. (1980) Watson–Glaser Critical Thinking Appraisal Manual. San Antonio, TX: Psychological Corporation. White, J., Hendrick, S. and Hendrick, C. (2004) Big Five Personality Variables and Relationship Constructs. Personality and Individual Differences, 37, 1519–1530. Widiger, T.A., Costa, P.T. and McCrae, R.R. (2001) Proposals for Axis II: Diagnosing personality disorders and the five & 2008 The Author Journal compilation & 2008 Blackwell Publishing Ltd Psychometric Correlates of FIRO-B Scores factor model. In: Costa, P.T. and Widiger, T.A. (eds), Personality Disorders and the Five Factor Model of Personality (2nd edn). Washington, DC: American Psychological Association, pp. 432–456. Widiger, T.A., Trull, T.J., Clarkin, J.F., Sanderson, C. and Costa, P.T. (2002) A Description of the DSM-IV Personality Disorders with the Five Factor Model of Personality. In: Costa, P.T. and Widiger, T.A. (eds), Personality Disorders and the Five Factor Model of Personality (2nd edn). Washington, DC: American Psychological Association, pp. 88–99. & 2008 The Author Journal compilation & 2008 Blackwell Publishing Ltd 45 Wiggins, J. (1996) An Informal History of the Interpersonal Circumplex Tradition. Journal of Personality Assessment, 66, 217–260. Wiggins, J. and Pincus, A. (1989) Conceptions of Personality Disorders and Dimensions of Personality. Psychological Assessment, 1, 305–316. Willcoxson, L. and Chatham, R. (2006) Testing the Accuracy of the IT Stereotype. Information and Management, 43, 697– 705. Youngs, D. (2004) Personality Correlates of Offence Style. Journal of Investigative Psychology and Offender Profiling, 1, 99–119. International Journal of Selection and Assessment Volume 16 Number 1 March 2008