CLEI College Learning Effectiveness Inventory Administration and Scoring Manual for CLEI © 2008 K-CAT · All rights reserved 2005 Research Park Circle · Manhattan, KS 66502 www.k-cat.org ADMINISTRATION AND SCORING MANUAL FOR THE COLLEGE LEARNING EFFECTIVENESS INVENTORY (CLEI) by Fred B. Newton, Eunhee Kim, Dan Wilcox, and Nathan Beemer Kansas State University Contributions in the development of the CLEI include recognition to Ann Johnson, Wen-Chih Tseng, Kang-Hyun Shin, Mary Elizabeth Yeager, Ron Downey, Stephen Benton, and participating staff from the KSU Counseling Services 2008 Edition Copyright 2008 by Kansas State University Research Foundation CONTENTS Chapter 1 Overview ………………………………………………….………… 4 Introduction Purpose Item Development Data Collection Procedures Chapter 2 Administration and Scoring ……………………………………… 7 Administration Appropriate Use User Qualification Scoring Procedures Chapter 3 Interpretation of Results …………………………………………. 11 Interpretation of the Six Scales Profile Interpretation Chapter 4 Psychometric Information ………………………………………... 16 Sample Description Exploratory Factor Analysis Confirmatory Factor Analysis Reliability Validity Chapter 5 Summary, Future Research, & Limitations …………………….. 19 References Tables 2 Tables Table 1 Items of the Six-CLEI Scales Table 2 Means and Standard Deviations for the CLEI Scores for a Normative Sample of College Undergraduates by Gender Table 3 Means and Standard Deviations for the CLEI Scores for a Normative Sample of College Undergraduates by Year in College Table 4 Item Statistics for the Academic Self-Efficacy Scale Table 5 Item Statistics for the Organization and Attention to Study Scale Table 6 Item Statistics for the Stress and Time Press Scale Table 7 Item Statistics for the Involvement with College Activity Scale Table 8 Item Statistics for the Emotional Satisfaction Scale Table 9 Item Statistics for the Class Communication Scale Table 10 Scale Statistics: Mean, Standard Deviations, Intercorrelations, and Reliability Coefficients with 95% Confidence Intervals for the Six Scales of the CLEI Table 11 Overall Fit Indices of the Confirmatory Factor Analysis on the Six Scales of the CLEI Table 12 Relationship between the CLEI and Validation Instruments 3 Chapter 1: Overview Introduction Counselors, academic advisors, and other professional support personnel at academic institutions have a long history of using assessment to determine students’ academic ability and achievement potential. Common practice has been to use ability tests and past academic performance as standard measures. However, while ability and achievement measures are important factors in predicting a student’s academic success, these assessments do not explain a significant amount of individual variability in performance. Research summaries by Astin (1993), Pascarella and Terenzini (1991), Russell and Petrie (1992), and Tinto (1992) support the premise that student learning is impacted by many forces that include academic, personal, social, and environmental variables. Russell and Petrie (1992) use three category labels to describe factors: academic, social/environmental, and personality. These labels served as a guide during the initial development of items. Several writers have described principles of learning, based upon individual behavior and impact of the learning environment that affect performance outcomes. Angelo (1993) discusses thirteen research-based principles that can guide efforts to maximize learning. Others have shown how specific personal factors can be directly influenced through intervention strategies (Halstead, 1993; Newton and Smith, 1996; Newton, 1990). These variables associated with the person within the context of campus experience are described as psychosocial factors. They include personal, social, and environmental variables such as aptitudes and abilities, attitudes, motivation, study approach, vocational interests, utilization of campus resources, and sources of personal support available and utilized. Critical to the identification of these variables has been the determination of the relationship between the psychosocial variables and outcome performance. Identifiable outcomes have included GPA, persistence or attrition in academic enrollment, satisfaction with college life, adjustment defined by emotional wellbeing, self and other judgment toward achieving goal success, and positive change over time measuring specified criteria. Empirical studies of influence factors have provided evidence to suggest that relationships exist between such variables and college performance (Chemers, Hu, & Garcia, 2001; Davidson & Beck, 2006; Friedlander, Reid, Shupak & Cribbie, 2007; Lahmers & Zulauf, 2000; Macan, Shanhani, Dipboye & Phillips, 1990). Understanding the relationship between certain psychosocial variables and success outcomes provides the opportunity for designing educational and supportive strategies. Because of this relationship between psychosocial influences and academic success, we believe that academic services personnel, with some relevant training in both assessment and intervention, can make a significant difference in student success in both the classroom and the overall campus environment. Related to psychosocial influence on academic performance tasks, researchers have evaluated the impact of specific variables such as time utilization (Lahmers & Zulauf, 2000; Macan, Shahani, Dipboye & Phillips, 1990; Nonis & Hudson, 2006), strategic organization and study approach (VanZile-Tamsen, 2001), academic self-esteem, efficacy, and confidence (Chemers, Hu & Garcia, 2001; Friedlander, Reid, Shupak, & Cribbie, 2007; Lent, Brown, & Larkin, 1984; Zajacova, Lynch, & Espenshade, 2005), stress and emotional components (Davidson & Beck, 2006; Pritchard & Wilson, 2003), student involvement with campus life (Anaya, 1996; Cooper, Healy, & Simpson, 1994), and motivation and task relevance (Bong, 4 2004; VanZile-Tamsen, 2001). Background research on these types of variables provides a basis for identifying the need for an assessment instrument that can provide a quantitative measure of the attitudes, behaviors, and dispositions that lead to success outcomes. Purpose The College Learning Effectiveness Inventory (CLEI) was conceived as a method to measure some of these psychosocial factors that impact a student’s learning. The CLEI is an inventory of six scales with 50 questions representing a continuum of individual behaviors, attitudes, and dispositions related to academic activity. The purpose of the inventory is to organize the self-reported student responses into thematic domains or categories that have shown to contribute to academic success. These domains comprise the six scales of measurement on the CLEI. After students respond to the items they immediately receive a profile that reports their overall pattern including strengths and weaknesses. The initial profile provides some immediate explanation of results to the student, however, it has greater utility when used as an advising and planning tool by student service personnel working with students to make improvements to optimize their learning approach. The major objectives of creating the CLEI were to: (a) Develop a series of clearly definable and operational items that a student could use to measure their own thoughts, feelings, or behaviors related to academic pursuits; (b) Include a continuum, that reflects the degree from positive to negative, thereby showing how the item content might support or interfere with academic pursuits; (c) Utilize an on-line survey format for ease of access, user-friendly administration and rapid retrieval of results; (d) Provide immediate feedback and information to the student completing the inventory by showing a pattern of strengths and weakness on an individualized profile; (e) Provide information for advising and counseling a student, making it a tool for discussion of goals, selection of interventions, referral to relevant student services, and a measurement of progress and involvement in the change process; (f) And, to utilize the CLEI as a tool for research describing relationships between variables, measures of change, and outcome comparisons. Item Development The CLEI was developed over the past ten years in two stages. Initially, three professional counseling staff, knowledgeable in the literature on learning, began generating behavioral statements that would serve as potential measures of the six categories that were seen as important to success. These categories included motivation, self-concept, study habits, emotions, support, and involvement. Eventually, an item pool of over 300 items was generated. After these items were identified a panel of nine expert judges, with experience and credentials related to student learning, went through a systematic process to refine and reduce these items. The panel judged each question on three criteria: (1) clarity and relevance to college students, (2) accurateness and goodness of fit to the operational definitions of the 5 categories, and (3) placement of the item on a five point Likert scale (a score of “1” equals a high negative behavior and “5” represents a high positive behavior). The intent of the judging process was to eliminate non-discriminating and invalid questions. This process resulted in the identification of 144 items covering the six categories and ranging from positive to negative in wording. The first generation CLEI with 144 items was piloted with over 500 students and utilized with student “academic assistance groups” over a period of five years. Results from the initial piloting of the CLEI found it to be a useful tool for counseling and advising students on their academic problems. However, a review of this first version identified the following problems: repetitive items similar in nature and the large number of items took too much time to complete the inventory. An exploratory factor analysis was used to identify and eliminate redundant questions and questions that lacked predictive value. This resulted in the second version of the CLEI with 61 items compiling the six scales (Newton, Kim, Wilcox, & Yeager, 2007). The second version of the CLEI was tested with over 1,000 students for additional studies including confirmatory factor analyses, reliability studies, and validity studies. It was also tested to examine a scoring system utilizing T-Scores based on normative scores. These studies suggested that the scales could have stronger psychometric properties by respecifying the scales. Examinations of normative score distributions and individual response patterns on each of the scales indicated that there was a slight positive skewing on several scales but a significant skewing in positive direction for the Academic Self-Efficacy Scale. This suggested that utilizing T-Scores could provide better interpretation of the individual profile of the scales. Revisions were then made to the second version of the CLEI and yielded the current 50 item, six scale version (2008 Edition). The current College Learning Effectiveness Inventory (CLEI) consists of six scales. This 50-item assessment tool measures individual attitudes and behaviors that may impact academic performance. The CLEI serves both diagnostic and prescriptive functions. Academic advisors, counselors and others whose work involves supporting student success and retention can use the CLEI to assess individual student’s strengths and weaknesses. Interventions can then be custom designed to address each student’s weaknesses, build upon their strengths, and enhance their chances of success. In addition, demographic variables are included with this on-line version of the CLEI. These variables are gender, age, year in school, overall GPA, academic major, ethnic identity, and residence type. Each college or university using the CLEI may elect to identify demographic variables that are of particular interest in their on their campus. Data Collection Procedures Data for developing this revised CLEI and for developing normative profiles were collected from undergraduate students who were enrolled in a large public university (enrollment greater than 20,000 students) in the Midwest. Participants completed the online CLEI via the Internet at remote locations during academic years 2006 and 2007. Sample descriptions are presented in Chapter 4. These studies were approved by the Committee for Research Involving Human Subjects under the University Research Compliance Office at Kansas State University. 6 Chapter 2: Administration and Scoring Administration The CLEI is administered on-line via the Internet and scored automatically. Students are given a password in order to access and take the CLEI. The inventory can usually be completed in 10 to 15 minutes. Individual results are provided immediately after the CLEI is completed. Students can print out their results and are provided a brief interpretative summary. It is recommended that students also work with an advisor, counselor, trained peer mentor, or faculty and staff familiar with the CLEI in order to utilize the results most effectively. A follow-up interview or group explanation session is a way to review student CLEI profiles, discuss the results, and begin to set goals and make recommendations for action. The process follows the basic problem solving model utilizing the steps of “what”, “so what”, and “now what”. Alternatively stated, the goal for students using the CLEI for academic enhancement is to utilize the process of identification, implication, and improvement. Appropriate Use (1) (2) (3) (4) (5) The CLEI can be used in the following ways: As an assessment tool that helps each student become aware of attitudes and behaviors that affect their learning and studying. As an organizing assessment that identifies specific areas in which each student could benefit most from interventions. To develop specific interventions designed to remediate weaknesses and capitalize on strengths. In pre-post measure to determine the effectiveness of specific interventions, and to determine if additional interventions are needed. As a counseling or psychoeducational strategy for college orientation, advising, educational development, and learning skills programs. User Qualifications The CLEI is designed as an easy to use tool that organizes the pattern and potential meaning of a student’s self report on personal behaviors, attitudes, and feelings toward academic activity. At the most basic level it can become an information source for the student to view their own personal motivations and approach to academic activity. Definitions, examples, and suggestions for follow-up options are provided on the profile screen. The questions asked are not psychologically sensitive and the terminology does not reflect concern for pathology or danger. The CLEI may also be used as a source of input for advising or counseling a student on their approach to learning. It is recommended that the best results in the use of CLEI will come from a professional or paraprofessional staff person who has training with the assessment of academic concerns and is familiar with the development and theory behind the CLEI. 7 An important supplement to CLEI results is the Student Learning Effectiveness Workbook. The workbook outlines a step by step process to translate CLEI profile results into personal action plan to make individualized improvements in one’s approach toward learning. 8 Scoring Procedures All scoring is generated automatically on-line by the use of formula based upon the scale construction explained in Chapter 4. Immediately after the CLEI is completed, individual results are provided to the student in the form of a profile chart. An individual profile displays individual’s mean raw scores and T-Scores for each of the six scales. Prior to calculating individual scores, items in negative continuum are transformed to reverse scores (i.e., a score of 1 is transformed to a score of 5, score 2 to 4, score 4 to 2, score 5 to 1). Table 1 provides a list of items for each of the six scales, and items with asterisk (*) indicates items in negative continuum. Items are grouped and ordered by the loading size on each scale to facilitate interpretation. The mentor working with a student can administratively obtain an individual score sheet of the student that contains raw item scores, mean scores, and T-Scores in addition to the profile chart. Raw Mean Scores. The purpose of providing an individual raw mean score for each of the six scales is to provide an interpretation that demonstrates an individual’s profile of high and low scores indicating strengths and weaknesses from an intrapersonal perspective. The mean score for each scale can vary from 1.0 (lowest possible score) to 5.0 (highest possible). A low score reflects a negative response to the attributes of the scale, and a high score represents a positive response to the attributes of the scale. A raw mean score will fall somewhere between these two extremes. A score of 3.0 is the mid-point and any score within the middle range of between 2.6 and 3.4 is more neutral and less likely to reflect a strength or weakness. However, it should be noted that on any scale a mean score of 3.5 or above would indicate a more positive response pattern and considered an area of personal strength. A scale score of 2.5 or below would reflect more negative response or potential area of weakness. T-Scores. An individual student’s mean raw score for each scale is compared with average scale scores generated by a normative sample, and T-Scores are calculated for each of the six scales. Means and standard deviations (SD) of scores from the normative sample are used to transform an individual student’s mean scores into T-Sores for each of the scales using the following formula: T-Score = 10*[(Individual Mean – Normative Mean)/SD of Normative Score]+50. T-Scores are interpreted using a mean of 50 and a standard deviation of 10: • • • 68% of the normative group falls between T=40 and T=60 96% of the normative group falls between T=30 and T=70 99% of the normative group falls between T=20 and T=80. Typically, the T-scores for each scale will distribute in a manner called the normal inverted U curve. This means more students cluster around the middle or average score of 50 with fewer students as the scores move away from the middle. The one exception to this rule when interpreting the CLEI scales is the first scale called Academic Self-Efficacy. The 9 majority of students rate their responses positively on this scale. As a result, a score around 50 to slightly below may still reflect a high positive self rating. Normative Scores. The means and standard deviations for the CLEI scales obtained from a normative sample are reported in Table 2 and Table. The participants in the normative sample were university students (N=879) who were enrolled in a large public university in the Midwest during academic years of 2006-2007. The normative scores for each of the six scales are presented by the demographical factors of gender (Table 2) and year-in-college (Table 3). This normative sample was weighted to reflect proportions of male and female students. It was also weighted to reflect class level proportions in the university population. The weighted sample consisted of 439 male students (49.9%) and 440 female students (50.1%). With regard to class level, 24.0% were freshmen (N=211), 21.1% were sophomore students (N=186), 22.0% were juniors (N=193), and 33.0% were seniors (N=290). 10 Chapter 3: Interpretation of Results Interpretation of the Six Scales ! Academic Self-Efficacy (ASE Scale): Items on this scale measures an expression of confidence in academic ability, awareness of effort toward study, and expectations of success in college attainment. Those who score high have expectations to succeed and accomplish important outcome goals. Those who score low are more likely to feel uncertain about possible achievement and what the future may hold. *Note: The Academic Self-Efficacy scale is skewed toward overall positive responses, therefore, caution should be made in interpretation recognizing that a T-score of 40 would be below the 50% of the norm group but would still reflecting a positive overall response on the scale items. ! Organization and Attention to Study (OAS Scale): This scale measures the organization of tasks and structuring of time to set goals, plan, and carry out necessary academic activity. Those who score high are likely to use effective organizational planning and time management skills to achieve academic success. Those who score low are more likely to avoid planning strategies and lack focus of attention in providing self-direction. ! Stress and Time Press (STP Scale): This scale measures how student deals with the pressures of time, environmental concerns, and the academic demand that impacts academic study. Those who score high manage the pressures of academics without reactions such as being overwhelmed, procrastination, or avoidance. Those who score low may experience symptoms of stress and do not believe they can handle the academic demands they experience. ! Involvement with College Activity (ICA Scale): Involvement is defined by the ICA Scale as belonging to organizations and participating in activities. Those who score high belong to many organizations and often participate in formal and/or informal campus activities. Those who score low are more socially isolated and are less likely to participate or engage in campus activities. ! Emotional Satisfaction (ES Scale): This scale measures the degree of interest and emotional response in academic life including people and the campus educational environment. Those who score high express encouragement, interest, and positive anticipation for academic life, whereas those who score low are more likely to express discouragement, negative reactions, and a sense of being overwhelmed with academic life. ! Class Communication (CC Scale): Communication in the CC Scale includes both verbal and non-verbal effort to engage in class activity. Those who score high scorers are assertive and active with written and oral communication in-class and with their 11 instructors. Those who score low may experience uncertainty and reluctance in expressing and asserting their ideas in-class and with their instructors. 12 Profile Interpretation Profiles from the CLEI may be best used as stimulus for discussion with the student. One approach is to examine the individualized summary noting the position of scale scores from high to low. To provide examples of profile interpretation, Figure 1, 2, and 3 illustrate profile charts for three students. Example Profile A. The profile chart A is for a female student, who is a sophomore, majoring in Business/Marketing with a GPA of 3.0-3.4 on a 4.0 scale. Her two highest scores are in Academic Self-Efficacy and Involvement with College Activity with a midrange score in Class Communication. Her lower scores are in Emotional Satisfaction, Organization and Attention to Study, and Stress and Time Press. These scores indicate that she is a confident and out-going student who is likely to be very active on campus and engaged in her college experience. However, these results also suggest that her strengths may create problems such as being pressed for time, feeling pressure to become better organized and having some worry or stress about academics. Profile A Fig. 1. Example Profile Chart A 13 Example Profile B. The profile chart B is for a female student, who is a junior, majoring in Elementary Education with a GPA of 2.5-2.9 on a 4.0 scale. The student’s profile is marked by low scores on the Scales 2, 3, and 4 (lack of organization and attention to study, stress and time press, and low involvement with college activity). The student is in the mid-range on Academic Self-Efficacy and Emotional Satisfaction Scales. The reason for stress and time press, lack of organization and attention to study, and low activity level may reflect the presence of some situational stressor occurring at this time in her life. In some cases, it might be family issues, the need to work extra hours to meet financial obligations, or a personal problem that is interfering with college life. Is this a situation stressor occurring in her life? Or, does she have a history of anxiety or stress when preparing her assignments or when performing tasks? Exploring these contrasting scores with the student could help to identify possible solutions or result in referral to the appropriate service or support program on campus. Profile B Fig. 2. Example Profile Chart B 14 Example Profile C. This sophomore male student is struggling in college with a grade point average below 1.9. The profile shown in Figure 3 indicates flat and below average scores across five of the scales (1, 2, 4, 5, & 6). Scale 3 indicates a fairly average amount of stress or time pressure on the individual. This suggests several possibilities to explore. One area might be competing involvement in work, family, or other activity unrelated to college that distracts the student from sufficient engagement to succeed in academic work. Another possibility could reflect uncertainty as to whether college is desired or necessary to achieve his personal goals. Career planning, personal decision-making, or more exploration could be important for this student to find a successful niche. Profile C Fig. 3. Example Profile Chart C 15 Chapter 4: Psychometric Information Sample Description Samples of university students were used in three separate studies: (a) a derivation sample for an exploratory factor analysis (EFA), (b) a replication sample for a confirmatory study (CFA), and (c) a validation sample for a cross-validation study. Participants were university undergraduate students who were enrolled in a large public university (enrollment greater than 20,000 students) in the Midwest. Derivation Sample. A sample of 587 university undergraduate students was used in the derivation sample for EFA. The average age of the participants was 21.21 (SD= 4.33), with an age range of 17 to 56 years. About two-thirds of the participants were women (N=405, 67.8%). Class levels included freshmen (51.4%), sophomores (12.4%), juniors (16.4%), and seniors (19.8%). Reported overall Grade Point Averages (GPA) were: 3.5 and above (33.9%), 3.0 to 3.4 (32.9%), 2.5 to 2.9 (21.7%), 2.0 to 2.4 (6.5%), and below 2.0 (5.0%). Ethnically, 86.6% reported that they were Caucasian, 3.4% were Hispanic/Latino American, 3.0% were African American/Black, 1.5% were Asian American, 0.3% were Native American, and 0.2% were multicultural. Majority students lived off campus (55.3%) and 44.7% lived on-campus. Replication Sample. A sample of 282 university undergraduate students was used in the replication sample for CFA. The average age of the participants was 20.91 (SD= 3.71), with an age range of 18 to 45 years. In this sample, 73.4% were women (N=207). Class levels included freshmen (36.9%), sophomores (4.6%), juniors (20.6%), and seniors (37.9%). Reported overall Grade Point Averages (GPA) were: 3.5 and above (30.9%), 3.0 to 3.4 (31.2%), 2.5 to 2.9 (18.8%), 2.0 to 2.4 (3.5%), and below 2.0 (0.4%). Regarding ethnicity, 90.4% reported that they were Caucasian, 1.8% were Hispanic/Latino American, 2.1% were African American/Black, 1.4% were Mexican American, 0.7% were Asian American, 0.7% were Native American, and 2.8% were multicultural. Majority students lived off campus (60.3%), 29.1% lived on-campus, and 10.6% lived at fraternity/sorority houses. Validation Sample. A sample of 160 university undergraduate students was used in the construct validity study. The average age of the participants was 22.44 (SD= 4.74), with an age range of 19 to 49 years. In this sample, 73.1% were women (N=117). Majority of the participants were seniors (61.9%), 33.1% were juniors, and 3.8% were sophomores. There were no freshmen among the respondents. Most students participating in the validation study have a cumulative grade point average of greater than or equal to 3.00 (77.9%). Reported overall Grade Point Averages (GPA) were: 3.5 and above (39.9%), 3.0 to 3.4 (38.0%), and 2.5 to 2.9 (20.3%). None of the participants had their GPA below 2.5. Ethnically, most of the participants were Caucasian (93.1%), and minority group consisted of Hispanic/Latino American or Mexican/Mexican Americans (2.4%), African Americans (1.2%), Asian/Pacific Islander (1.2%), Native American/Alaskan Native (1.2%), and multiracial (0.6%). Majority students lived off campus (83.8%), 4.4% lived on-campus, and 8.8% lived at fraternity/sorority houses. 16 Exploratory Factor Analysis An exploratory factor analysis was conducted on a derivation sample (N=597) to identify underlying factors of the 62 items of the CLEI. We performed a principal component extraction with promax (oblique) rotation of the correlation matrix from the derivation data. Based on the factor analysis and conceptual analysis by the expert panel, we adopted the revised CLEI version comprised of six scales and 50 items. Summaries of the item statistics can be found in Table 4 through Table 9 for each of the six scales. Items are ordered and grouped by size of coefficients to facilitate interpretation. Table 10 presents scale statistics including means, standard deviations, intercorrelations, and reliability coefficients with 95% confidence intervals for the six scales of the CLEI. The scale labels with number of items and reliability coefficients of internal consistency for these six scales are provided below. (1) Academic Self-Efficacy (ASE Scale: 14 items, Cronbach’s Alpha=.87) (2) Organization and Attention to Study (OAS Scale: 8 items, Cronbach’s Alpha=.81) (3) Stress and Time Press (STP Scale: 6 items: Cronbach’s Alpha=.77) (4) Involvement with College Activity (ICA Scale: 9 items, Cronbach’s Alpha=.81) (5) Emotional Satisfaction (ES Scale: 7 items, Cronbach’s Alpha =.72) (6) Class Communication (CC Scale: 6 items, Cronbach’s Alpha=.68) Confirmatory Factor Analysis To examine whether the six factors of the CLEI from the derivation sample of the exploratory factor analysis adequately applied to the replication sample, we conducted a confirmatory factor analysis on a replication sample (CFA sample, N=292) using unweighted least squares estimate and correlated errors within scales estimation. Seven fit indices were used to determine the data fit of the hypothesized model: (a) chi-square (Satorra-Bentler Scaled Chi-Square), (b) normed fit index (NFI), (3) goodness-of-fit index (GFI), (d) adjusted goodness-of-fit index (AGFI), (e) root mean square residual (RMSR), (f) root mean square error of approximation residual (RMSEA), and (g) comparative fit index (CFI). As shown in Table 11, overall fit indices indicated that the CFA for the six CLEI scales resulted in a generally acceptable fit. Reliability The internal consistency of scores for the six scales was examined on the EFA sample (N=597) and CFA sample (N=292). The respective Cronbah alphas for the EFA and CFA samples were: ASE (.87 and .86), OAS (.81 and .81), STP (.77 and .71), ICA (.81 and .71), ES (.72 and .74), and CC (.68 and .68). Trends in reliability alphas for the exploratory sample and for the confirmatory sample were consistent. Scores for five of the six scales had reliabilities that were adequate ranging from .71 to .87, while scores for the Class Communication Scale had marginal reliabilities for both EFA and CFA samples. Reliability coefficients with 95% confidence intervals for the six scales were presented in Table 10. 17 Validity To examine the degree to which the six scales measure what they were intended to measure, construct validity was tested on a validation sample (N=160). The validation instruments used were: (a) selected subscales of the Learning and Study Strategies Inventory (LASSI) (Weinstein & Palmer, 2002), (b) Rosenberg Self-Esteem Scale (Rosenberg, 1965), (c) Crombag College Adaptation Questionnaire (Van Rooijen, 1986), and (d) Student Propensity to Ask Questions (Cunconnan, 1996; Cayanus, 2005). Correlations between the validation instruments and the CLEI scales are shown in Table 12. The Academic Self-Efficacy Scale of the CLEI was correlated with both the Motivation Scale of the LASSI (r=.46) and Rosenberg Self-Esteem Scale (r=.45). The Organization and Attention to Study Scale showed correlations with two subscales of the LASSI: Concentration Scale (r=.71) and Self-Testing Scale (r=.46). The Stress and Time Press Scale was correlated with the Time Management Scale of the LASSI (r=.44). The correlation coefficient between the Involvement with College Activity Scale and the Student Adaptation to College Questionnaire was a bit low (r=.31), but it was statistically significant. The Emotional Satisfaction Scale was correlated with the Attitude Scale of the LASSI (r=.50), and the Class Communication Scale was correlated with the Student Propensity to Ask Questions (r=.53). 18 Chapter 5: Summary, Future Research, & Limitations Summary The CLEI is an instrument designed to measure individual attitudes and behaviors that may impact academic performance. This instrument was developed because a group of professionals (counselors and advisors) identified the need for a tool to explore what was described as personal/social influences that impacted learning performance. Over 300 items were originally developed through both the inductive experience in working with students and through the collective published information on college student learning. During the past several years the instrument has gone through a process to clarify and define the psychometric properties of the instrument. The present edition of the CLEI (2008 Edition) contains 50 items that load on to six scales measuring positive and negative levels of student attitudes and behaviors. The CLEI can function as a tool of exploration for students to increase their awareness of personal strengths and weaknesses as a learner and be able to make changes that may improve academic performance. It may be most effective with professionals trained to assist students with academic problems (counselors, advisors, learning center staff). However, it is also available as a self-help on-line inventory that provides individual students feedback and suggestion on their learning effectiveness. Future Research The CLEI should be considered as an instrument in development. There are several areas of research that are needed to contribute to the understanding and use of this instrument. The followings are suggestions for research, studies that are either in process or anticipated within the near future. Results from these studies will be reported at a later date and included within this manual. 1. A larger and more diverse sample of students to be tested to establish a normative profile of information. This sample would be drawn from institutions representing different geographical areas of the country, different institutional types (private, public, 2-year), size, and degree emphasis. 2. Comparisons between identifiable sub-groups of students to discriminate response patterns including demographic profile and academic definition clusters (gender, major, year in school, ethnicity, first generation, probation status, honor student status, etc.). 3. Additional studies of psychometric properties including test-retest examination of the instrument’s stability, and comparison of a group of students and a group of advisors to examine convergent validity. 4. Utilizing a complete battery of the three K-CAT inventories to provide a broad picture of college students’ attitudes, behaviors, and health patterns related to their overall functioning in college. These three inventories (K- 19 PIRS, HBA, & CLEI) measure three dimensions of health behaviors, mental health, learning attitudes and behaviors providing a comprehensive view of psycho-social variables that may impact student performance. The suggestion is to utilize testing of freshmen students early in their college career and track changes with academic outcomes through their college experience. 5. Utilizing the CLEI as a tool for prescribed programs of intervention that can measure students at pre, post, and follow-up periods of time to determine the efficacy of the instrument for tracking change. Limitations The CLEI is a tool to be used to identify potential strengths and weaknesses of student attitudes and behaviors related to academic performance. As such, it should be used for exploration, clarification, and a way to initiate conversation on ways to maintain or improve their learning activity. The CLEI is not proven as an evaluation, diagnostic, or prescriptive instrument. It should not be used to determine learning disabilities, eligibility for accommodations, or as a basis for determination of success or failure decisions. The CLEI has not been tested on many specific sub-populations of students and may not generalize to the behavior and attitudes considered important for the success of students in special or unique situations. For example, graduate students or distance learning students may not be appropriate for many items that measure involvement in on-campus activities or in-class performance activities. 20 REFERENCES Angelo, T. A. (1993). A teacher’s dozen: Fourteen general findings from research that can reform classroom teaching and assessment and improve learning. American Association of Higher Education Bulletin, 3-8. Astin, A. W. (1993). What matters in college? Four critical years revisited. San Francisco: Jossey-Bass, Inc. Bong, M. (2004). 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Friedlander, L.J., Reid, G.j., Shupak, N. & Cribbie, R. (2007). Social support, self-esteem, and stress as predictors of adjustment to university among first-year undergraduates. Journal of College Student Development, 48 (3), 259-274. Gibson, D.M. & Myers, J.E. (2006). Perceived stress, wellness, and mattering: A profile of First-year Citadel cadets. Journal of College Student Development, 47 (6), 647-660. Halstead, R. W. (1993). The 16 principles: A guide to getting better grades in college. Worcester, MA: COB Press. Lahmers, A. G. & Zulauf, C.R. (2000). Factors associated with academic time use and academic performance of college students: A recursive approach. Journal of College Student Development, 41 (5), 544-556. Lent, R.W., Brown, S.D., & Larkin, KC. (1984). Relation of self-efficacy expectations to academic achievement and persistence. Journal of Counseling Psychology, 31, 352-362. 21 Macan, T. H., Shahani, C., Dipboye, R. L. & Phillips, A. P. (1990). College students’ time management: Correlations with academic performance and stress. Journal of Educational Psychology, 82 (4), 760-767. Newton, F. B. (1990). Academic support seminars: A program to assist students experiencing academic difficulty. Journal of College Student Development, 31(2), 183-186. Newton, F.B., Kim, E., Wilcox, D. & Yeager, M.E. (2007). Administration and scoring manual for the College Learning Effectiveness Inventory 2007 edition. Kansas State University Research Foundation. Newton, F. B. & Smith, J. H. (1996). Principles and strategies for enhancing student learning. In. Ender, S. C., Newton, F. B. & Caple, R. B. Contributing to learning: The role of student affairs. San Francisco: Jossey-Bass, Inc. Nonis, S. A. & Hudson, G. I. (2006). Academic performance of college students: Influence of time spent studying and working. Journal of Education for Business, 81 (3), 151-159. Pascarella, E. T. & Terenzini, P. T. (1991). How college affects students: Findings and insights from twenty years of research. San Francisco: Jossey-Bass, Inc. Pritchard, M.E. & Wilson, G.S. (2003). Using emotional and social factors to predict student success. Journal of College Student Development, 44 (1), 18-28. Rosenberg, M. (1965). Society and the adolescent self-image. Princeton, NJ: Princeton University Press. Russell, R. K. & Petrie, T. P. (1992). Academic adjustment of college students: Assessment and Counseling. In. S.D. Brown and R.W. Lent (Eds.) Handbook of Counseling Psychology, New York: Wiley. Tinto, V. (1992). Leaving college: Rethinking the causes and cures of student attrition 2nd edition. Chicago: University of Chicago Press. Van Rooijen, L. (1986). Advanced students' adaptation to college. Higher Education. 15(3/4), 197-209. New York: Springer. VanZile-Tmsen, C. (2001). The predictive power of expectancy of success and task value for college students’ self-regulated strategy use. Journal of College Student Development, 42 (3), 233-241. Weinstein, C.E. & Palmer, D.R. (2002). User’s manual: Learning and study strategies inventory 2nd edition, H&H Publishing Company, Inc. Zajacova, A., Lynch, S. M. & Espenshade, T. J. (2005). Self-efficacy, stress and academic success in college. Research in Higher Education, 46 (6), 677-706. 22 Table 1 Items of the Six-CLEI Scales 1. Academic Self-Efficacy (ASE Scale) (14 items) * * * * * 23. I believe that I have the ability to complete college. 26. I have goals that I want to achieve by being in college. 43. I have high academic expectations of myself. 24. I believe it is possible for me to make good grades. 28. I turn in assignments only partially completed. 42. I doubt that I can make the effort to finish college. 50. I am determined to do what it will take in order to succeed with my goals. 5. I do not turn in assignments. 21. My family cares how I do academically. 38. Family members criticize me because I am not a great student. 4. I am aware of the assignments that are due in the next week. 47. Gaining knowledge is important to me. 49. I question why I need a degree for the career I want to pursue. 20. People in my community value a college education. 2. Orga ni zation and Attention to Study (OAS Scale) (8 items) * * * * 2. 30. 1. 31. 51. 48. 25. 6. I organize my time so that I have plenty of time to study. I make study goals and keep up with them. I wait to study until the night before the exam. I break big assignments into manageable pieces. I cannot get into studying even if there is nothing else to do. I find myself daydreaming when I study. I find my attention wandering in class I organize class information in a way that helps me retain and apply it later. 3. Stress and Time Press (STP Scale) (6 Items) * 36. I feel there are so many things to get done each week that I am stressed. * 13. I have symptoms of stress from all of the pressure I have been under since coming to college. * 3. I do not seem to have time to get everything done that I need to do. * 32. It seems as though I am playing catch-up. * 37. My living situation distracts me from my studies. 7. I plan in advance to prevent becoming overwhelmed with assignments at the last minute. 23 4. Involvement with Co llege Activity (ICA Scale) (9 Items) 9. I participate in social activities on campus. 11. I belong to an organized club on campus. 34. I attend events such as concerts, plays, speakers, or athletic contests as a part of the college experience. 29. I know someone with whom I can study. 40. I have friends here at school. 10. I belong to a study group. 15. I consider college to be a great time in my life. 41. My friends have good study habits. 17. I enjoy being a student here. 5. Emotional Satisfaction (ES Scale) (7 items) 14. 39. * 18. 27. * 12. 19. * 16. I like my courses. My instructors show interest in me. I hate school, but I know I have to do it. I see connections between my classes and my career goals. I am discouraged with how I am treated by my instructors. I can talk with people who provide encouragement to me about what I am learning. I become overwhelmed when I think of my assigned class requirements. 6. Class Communication (C C Scale) (6 Items) * 8. 33. * 46. * 35. * 44. * 22. I avoid speaking in class. I ask questions in class. I cannot seem to express my ideas on paper very well. I avoid classes in which participation is required. I dread the thought of getting test results in certain classes. I find it difficult to get the assistance I need for my academic success. “Experi mental Item” 45. I can make connections between what I learn in class and my plans for a career. Note. *, Indicates items in negative continuum of which the raw scores need to be transformed to reverse scores: 1 to 5, 2 to 4, 4 to 2, and 5 to 1. 24 Table 2 Means and Standard Deviations for the CLEI Scores for a Normative Sample of College Undergraduates by Gender Gender Male CLEI Scal es Femal e Total 1. Academic Self-Efficacy Mean SD 4.25 .51 4.54 .43 4.40 .50 2. Organization and Attention to Study Mean SD 3.03 .60 3.18 .57 3.10 .59 3. Stress and Time Press Mean SD 3.16 .68 2.98 .67 3.07 .68 4. Involvement with College Activity Mean SD 3.41 .67 3.51 .60 3.46 .64 5. Emotional Satisfaction Mean SD 3.55 .55 3.73 .55 3.64 .56 6. Class Communication Mean SD 3.41 .64 3.44 .59 3.42 .62 ** Global Score Mean SD 3.47 .42 3.57 .39 3.52 .41 Note. N=879 (Male n=439, Female n=440). Means and standard deviations are weighted by gender ratios (.512 for male student sample and .488 for female student sample) and by class level proportions in the larger university population (.242 for First Year, .205 for Sophomore, .225 for Junior, and .327 for Senior) in the larger university population. 25 Table 3 Means and Standard Deviations for the CLEI Scores for a Normative Sample of College Undergraduates by Year in College CLEI Scales First Year Year in School Sopho mor Junior e Senior Total 1. Academic Self-Efficacy Mean SD 4.26 .53 4.34 .55 4.54 .39 4.44 .47 4.40 .50 2. Organization and Attention to Study Mean SD 3.08 .60 3.09 .58 3.13 .63 3.10 .56 3.10 .59 3. Stress and Time Press Mean SD 3.17 .71 3.15 .64 2.96 .69 3.02 .68 3.07 .68 4. Involvement with College Activity Mean SD 3.32 .70 3.61 .66 3.55 .55 3.40 .60 3.46 .64 5. Emotional Satisfaction Mean SD 3.54 .57 3.56 .62 3.77 .49 3.69 .52 3.64 .56 Mean SD 3.27 .62 3.38 .68 3.49 .55 3.52 .59 3.42 .62 Mean SD 3.44 .44 3.52 .44 3.58 .35 3.53 .39 3.52 .41 6. Class Communication ** Global Score Note. N=879 (First Year n=211, Sophomore n=186, Junior n=193, Senior n=290). Means and standard deviations are weighted by gender ratios (.512 for male student sample and .488 for female student sample) and by class level proportions (.242 for First Year, .205 for Sophomore, .225 for Junior, and .327 for Senior) in the larger university population. 26 Table 4 Item Statistics for the Academic Self-Efficacy Scale Item Number 23 Item Mean 4.64 Item Std. Deviation .697 Item-Total Correlation .690 Cronbach’s Alpha if Item Deleted .855 26 4.55 .707 .623 .858 43 4.22 .850 .660 .855 24 4.42 .808 .631 .857 28 4.37 .797 .499 .864 42 4.65 .745 .595 .859 50 4.30 .801 .626 .857 5 4.45 .833 .483 .864 21 4.66 .688 .424 .867 38 4.32 1.006 .505 .864 4 4.07 .965 .392 .871 47 4.34 .790 .522 .862 49 4.20 1.074 .479 .867 20 4.39 .811 .426 .867 Table 5 Item Statistics for the Organization and Attention to Study Scale Item Number 2 Item Mean 3.21 Item Std. Deviation .888 Item-Total Correlation .593 Cronbach’s Alpha if Item Deleted .777 30 3.07 .965 .572 .779 1 2.77 .946 .481 .793 31 3.19 .936 .512 .788 51 3.18 1.015 .610 .773 48 2.82 .897 .546 .783 25 2.73 .879 .482 .793 6 3.59 .864 .378 .806 27 Table 6 Item Statistics for the Stress and Time Press Scale Item Number 36 Item Mean 2.76 Item Std. Deviation 1.059 Item-Total Correlation .660 Cronbach’s Alpha if Item Deleted .694 13 3.04 1.102 .599 .710 3 3.12 1.060 .546 .725 32 3.01 1.023 .545 .726 37 3.19 1.194 .408 .764 7 3.14 .943 .329 .775 Table 7 Item Statistics for the Involvement with College Activity Scale Item Number 9 Item Mean 3.28 Item Std. Deviation 1.122 Item-Total Correlation .645 Cronbach’s Alpha if Item Deleted .768 11 3.03 1.627 .559 .786 34 2.74 1.152 .529 .783 29 3.49 1.123 .505 .787 40 4.45 .888 .542 .784 10 1.98 1.109 .381 .802 15 4.03 .925 .514 .787 41 3.54 .905 .395 .799 17 4.12 .926 .516 .787 28 Table 8 Item Statistics for the Emotional Satisfaction Scale Item Number 14 Item Mean 3.52 Item Std. Deviation .804 Item-Total Correlation .531 Cronbach’s Alpha if Item Deleted .674 39 3.30 .899 .494 .679 18 3.57 1.142 .504 .675 27 3.72 .985 .444 .690 12 4.06 .900 .327 .717 19 3.73 1.017 .385 .706 16 3.41 .824 .392 .702 Table 9 Item Statistics for the Class Communication Scale Item Number 8 Item Mean 3.07 Item Std. Deviation 1.089 Item-Total Correlation .532 Cronbach’s Alpha if Item Deleted .592 33 2.90 1.027 .410 .637 46 3.58 1.047 .337 .662 35 4.07 .935 .416 .636 44 2.72 1.031 .350 .657 22 3.74 1.028 .410 .637 29 Table 10 Scale Statistics: Means, Standard Deviations, Intercorrelations, and Reliability Coefficients with 95% Confidence Intervals for the Six Scales of the CLEI N of Items M SD 1. ASE Factor 1. ASE 2. OSA 3. STP 4. ICA 5. ES 6. CC 14 8 6 9 7 6 Reliability Coefficient Intercorrelation Coefficient 2.OS A 3. STP 4.ICA 5.ES 4.40 0.51 --- 3.06 0.60 .45** --- 3.04 0.73 .26** .41** --- 3.40 0.69 .43** .35** .18** --- 3.62 0.58 .56** .51** .38** .38** --- 3.34 0.64 .39** .36** .32** .35** .47* * 6.C C (95% CI) a .87 (.855, .885) .81 a (.784, .831) .77 a (.738, .796) .81 a (.782, .829) .72 (.689, .757) .68 (.637, .717) --- Note. N=597. ASE=Academic Self-Efficacy, OSA=Organization and Attention to Study, STP=Stress and Time Press, ICA=Involvement with College Activity, ES=Emotional Satisfaction, CC=Class Communication. a Cronbach’s alpha was significantly greater than hypothesized value of .70 (p<.05). **p<.01. Table 11 Overall Fit Indices of the Confirmatory Factor Analysis on the Six Scales of the CLEI Independence Model Fit Statistics 22,447.46** 1.898.62** df NFI GFI AGFI RMSR RMSEA CFI 1,225 1,118 .92 .92 .90 .08 .05 .96 Note. N=292. Fit indices include chi-square (Satorra-Bentler Scaled Chi-Square), NFI=normed fit index, GFI=goodness-of-fit index, AGFI= adjusted goodness-of-fit index, RMSR=root mean square residual , RMSEA=root mean square error of approximation residual, and CFI=comparative fit index. **p<.01. Table 12 30 Relationship between the CLEI and Validation Instruments CLEI Scales Validation Instruments Pearson r 1. Academic Self-Efficacy LASSI (Motivation Scale) Rosenberg Self-Esteem Scale .46** .45** 2. Organization and Attention to Study LASSI (Concentration Scale) LASSI (Self-Testing Scale) .71** .46** 3. Stress and Time Press LASSI (Time Management Scale) .44** 4. Involvement with College Activity Crombag College Adaptation Questionnaire .31** 5. Emotional Satisfaction LASSI (Attitude Scale) .50** 6. Class Communication Student Propensity to Ask Questions .53** Note. N=160. LASSI=Learning and Study Strategies Inventory **p<.01. 31