Comprehensive Exams/Dr. S. Shyam Sunder Nan Yu/March 11, 2008 Questions: Discuss how construal level theory can be used to systematically design messages recommending health actions in interventions and campaigns. 1) In particular, do you think recipients’ construal of the consequences of health action be affected by the concept of "social distance" woven into message content? 2) And is this culture-specific? 3) If so, what are your recommendations for using construal-level theory in health communication research and practice? Your response should be rooted in theory and research pertaining to construal level theory and health communication. However it is important to take some leaps from the literature and speculate. My simple answer to the first question above is “Yes.” To further explicate my answers, I will review previous literature pertaining to Construal Level Theory and try to illustrate the influences of social distance on attitudinal or behavioral changes. In particular, my discussion will focus on the findings pertaining to health communications as well as the studies associated with cultural implications. I. Construal Level Theory (CLT) The mind of human beings is capable of forming different meanings toward one same object or issue. For example, “taking a vacation in Hawaii” could mean “packing and checking weather conditions” if it will happen in two days. But, if this is a plan for some time in the next year, it could also mean “having a wonderful break.” From the perspective of Construal Level Theory (CLT), “Having a wonderful break” is considered as a more abstract (a high-level construal) representation of the issue, whereas “packing and checking weather conditions” is less abstract (a low-level construal). 1 In the most recent piece from Trope, Liberman and Wakslak (2007), the authors summarized CLT as “a framework linking distant with abstraction (p.83).” More specifically, CLT suggests that people use more abstract (high-level construals) information to represent more distant objects, and more concrete (low-level construals) information to represent information about more near objects. In turn, as level of abstraction increases, perceptions of psychological distance would increase as well (i.e. distance objects are perceived more abstract v. near objects are perceived more concrete). Sequentially, the low- and high construals will guide people’s evaluation and behaviors differently (Trope, Liberman, & Wakslak, 2007). As the example illustrated, high-level construals refer to superordinate, general, abstract and core features of an option (e.g. “having a wonderful break”), whereas the low-level construals refer to subordinate, specific, and incidental features of an option (e.g. “packing and checking weather conditions”). Following the framework of CLT, attitudes or behavioral intent toward the whole plan of “taking a vacation in Hawaii” would vary because of the distinct interpretation of the plan when the time frames change. In addition, Liberman, Trope and Stephan (2007) suggested the high-level construals were associated with the dispositional and decontextualized information of an object, whereas the low-level construals were related to the situational and contextualized information of the same object. In sum, within the framework of CLT, the mental representation of the same information is categorized into two broad groups – low-level construals (i.e. concrete, situational information) versus high-level construals (i.e. abstract, dispositional information). The unanswered question is – how the low or high construals are formed? 2 II. Psychological Distance According to CLT, the sense of “distance” in people’s mind is the reason that people can have different interpretation of a same thing. In the Hawaii-trip example illustrated above, the concept of “distance” was operationalized as “in two days” versus “sometime in the next year.” This example reflects one of the dimensions of psychological distance – temporal distance, which emphasizes on the time distance. More specifically, it refers to whether a decision has to be made or a behavior has to be conducted in the near future or in the distance future (Trope & Liberman, 2003). The other three dimensions of psychological distance include 1) spatial distance the distance is generated based on the location remoteness of an event (e.g. something happened in the U.S. vs. in Africa;” 2) social distance – the distance is produced based on the closeness of a relationship between self and other people (e.g. the way that my best friends or average Penn State student perceives about the “taking a flu shot;” 3) hypothetical distance – the distance is created based on the how far the imaginary situation is to the reality (e.g. what if I had married another person) (for a review, see, Liberman, Trope, & Stephan, 2007). Over the past two decades, significant amount of studies have been contributed to the influences of temporal distance. Extensive empirical studies have supported the proposition of CLT on the dimension of temporal distance in that the distance of time generated in people’s mind affects individuals’ judgments and decisions regarding future options by systematically changing the way they construe those options (Trope & Liberman, 2003). Trope (2004) continued to suggest that same mechanics could be applied to other 3 distance dimensions, such as spatial distance, social distance, and hypothetical distance. This argument was further supported in Bar-Anan, Liberman, and Trope’s study (2006), in which the association between construal levels and psychological distance was empirically tested across all the four dimensions and resulted in a similar pattern. The study also revealed that this association could be “activated automatically without conscious deliberation (p. 617).” In sum, CLT assumes that people construct higher level construals for things that happen in the more remote time frames or the places that are far away, about more socially distant people, or about things that could have happened. The four dimensions of psychological distance are unified and collectively served as the basis for the theory of CLT (Trope, 2004). Figure 1 shows the theoretical associations predicted by CLT (see all figures in Appendix I). -FIGURE 1 IS PLACED HEREIn the following discussion, I will continue to review the literature associated with social distance, one form of psychological distance, and try to illustrate how it has been conceptualized and operationalized in the different studies. I will also discuss the potential operationalization of social distance in future research. II. Social Distance Liberman, Trope and Stephan (2007) suggested that social distance could contain several dimensions, including self versus other, first-person perspective versus third-person perspective, and in-group versus out-group. According to CLT, the mental representation of the socially distant objects (e.g. other or out-group members) would be higher than the more socially proximal objects (e.g. self or in-group members). The assumptions in social distance originated from the studies related to the 4 “actor-observer effect.” Researchers in social psychology found that people’s descriptions and explanations for other people’s activities differ from their descriptions and explanations for their own activities (Jones & Nisbett, 1972; Gilbert, 1998). For example, Semin and Fiedler (1988) discovered that people tended to use more abstract verbs to describe the activities when they were the observers but use more specific and less abstract verbs to describe the activities when they were the actors. In addition, Ronbins, Spranca, and Mendelsohn (1996) revealed that individuals tended to believe their own behaviors were influenced or caused by their partner but their partner’s behaviors were mostly due to his or her personality. This finding suggested that an individual saw his/her own behavior was caused by the specific and concrete situational factors (i.e. low-level construals), whereas other person’s behavior was caused by a general and dispositional factor of that person (i.e. high-level construals). Some of the research regarding social distance emphasized on the dimension of first-person versus third-person perspective. For example, Frank and Gilovich (1989) found that individuals made more global, dispositional attributions (i.e. high-level construals) when recalled an event from a third-person perspective than from a first-person perspective. Libby and Eibach (2002, study 4) also revealed that when people imaged to perform an activity from a third-person perspective, they generated more abstract and less vivid reports (i.e. high-level construals) than when they imagined the same activity from a first-person perspective. In a recent piece, Bar-Anan, Liberman, and Trope (2006) used implicit association tests to investigate the relationship between the psychological distance and construal level. In the experiments (study 3A, 3B) they asked participants to link words about distant (e.g. strangers, they) or proximal (e.g. siblings, we) social targets with the adjectives that 5 denoted either abstractness (e.g. general, universal) or concreteness (e.g. specific, detailed). The study showed that the participants responded much faster when paring socially distant words with abstract adjectives than with concrete adjectives. Similarly, the study suggested that it was easier for the participants to associate socially proximal words with the concrete adjectives than with the abstract adjectives. In sum, all of the studies summarized above demonstrate that people tend to generate high-level construals for more distant target social targets (e.g. other) and generate low-level construals for more proximal social target (self). Figure 2 shows the links between social distance and level of construal. -FIGURE 2 IS PLACED HEREIII. Predictions of CLT about health-related perceptions and behaviors Attitudinal or behavioral predictions of social distance were relative less sufficient than those of temporal distance. However, as previous discussion indicated, the assumptions in CLT are shared by all of the four dimensions of psychological distance (Trope, 2004; Trope, Liberman, & Wakslak, 2007). In the following discussion, I will concentrate on reviewing the findings pertaining to how CLT could predict health-related perceptions and behaviors. Chandran and Menon (2004, study 1) tested the interaction effect between temporal distance and social distance in the context of health communication. The study operationalized social distance as the perceived influence of a health problem on self or another person. The researchers proposed that when the social distance increased, the perceived risk of a health hazard would also increase due to individual’s self-positivity bias. The notion of self-positivity bias basically suggests that individual has an 6 intention to believe that him/herself is less likely to be affected by negative events, such as becoming ill (Perloff & Fetzer, 1986), contracting AIDS (Raghubir & Menon, 1998), or being infected with hepatitis C (Menon, Block & Ramanathan, 2002) than others. This notion of self-positivity bias is very similar to theory of Third Person Effect such that people tend to believe the persuasive messages will have a bigger effect on others than on themselves. Chandran and Menon (2004) chose mononucleosis (mono) as the health issue for their study. The authors discovered when the risk of getting mono through kissing was framed as occurring every day, people thought that they were as much as risky as others. However, when the same risk was framed as occurring every year, people thought others were more at risk than the self or his/her best friend. The finding implied the temporal distance (e.g. every day v. every year) could interact with social distance and had an impact on people’s perceived risk. Figure 3 depicts the theatrical interaction effects of social distance and temporal distance. -FIGURE 3 IS PLACED HEREIn addition, Chandran and Menon (2004) tested the interaction effect of temporal frames and the outcome valence on the issue of heart disease. When the outcome was framed negatively (e.g. lots of people succumb to heart disease) and it happened every day, people demonstrated a higher perceived risk and severity toward heart disease. They also became more anxious, thought the designed messages as more persuasive, and were more inclined to participate in educational and preventive behaviors. However, when the outcome valence of preventing heart disease was framed positively (e.g. lost of people avert heart disease) and the message emphasized the positive outcomes happened every year, the evaluations of the messages, the perceived risk and severity, and the 7 persuasiveness of the health message were increased and enhanced. Figure 4 illustrates the theoretical interaction effect of temporal frames and the outcome valence. -FIGURE 4 IS PLACED HEREIn a similar vein, Nan (2007) found that a gain frame of hepatitis C test was more effective than a loss frame when participants were asked to make decisions for themselves or for others. The self-positivity bias was revealed here in that people tend to think other people should take actions to detect a potential health problem only when there were potential gains. The theoretical proposition of the interaction effect between social distance and loss- and gain frames is presented in Figure 5. -FIGURE 5 IS PLACED HEREThe author further argued that the study supported the notion that potential gain was associated high-level construals whereas the potential loss was associated with low-level construals. This finding was consistent with what Liberman, Trope and Stephan (2007) have proposed: “in deciding whether to undertake an action, cons (i.e. losses, low-level construals) are subordinate to pros (i.e. gains, high-level construals) (p. 366).” In both studies (Chandran & Menon, 2004; Nan, 2007), the manipulation of “social distance” was consistent with the framework of self-positivity bias. Participants were exposed to persuasive messages and then asked whether they thought their best friends/themselves (i.e. self) or average people (i.e. other) should perform certain actions. In this type of manipulation, researchers tried to test the existing distinct mental representation of “self” versus “other” in people’s mind rather than to induce them. However, most of the research on “temporal distance” manipulated and embedded the different time frames directly in the persuasive messages (Trope & Liberman, 2003; Chandran & Menon, 2004). Given that all the four dimensions of psychological distance 8 shared common principles of CLT, it is reasonable to propose that social distance could also be framed in the persuasive messages with careful operationalization. As discussed above, social distance refers to socially proximal or distant objects, such as self versus other or in-group versus out-group members. Bar-Anan, Liberman and Trope (2006) indicated some specific languages that were associated with social distant. They suggested that terms like “friends, parents, buddies, siblings, ours, ourselves, we at our place, and for us,” symbolize socially proximal objects, whereas terms like “enemies, strangers, opponents, anonymous person, they, theirs, at their place, and for them” denote socially distant objects. These words could serve as a starting point of the message design for social distance. For example, in the scenario of influenza and flu shots, a message containing socially distant objects should emphasize on the benefits or costs upon average people. In the message with the emphasis on social-proximal objects, the benefits or costs upon family, friends, or self should be salient. Although such manipulations have never been used (at least I didn’t find any) in the previous studies, they are derived from previous literature and structured with careful operationalization of social distance. In addition, these manipulations are very similar to what have been operationalized in the studies of temporal distance (Chandran & Menon, 2004). However, a manipulation check is necessary before further testing the effects of the messages. From the CLT perspective, I propose that the presentation of distance in the message will interact with the gain – or loss frames and will generate an impact on people’s perceived risk or affect people’s health-related judgments or behavior intent (Chandran & Menon, 2004). More specifically, the self frame could make the disease more proximal and concrete especially when the self frame is combined with loss frame 9 (emphasizing the loss of not preventing a health problem). For example, in the scenario of influenza and flu shots, when the message emphasizes on the loss of not preventing flu, the self frame should be more effective in increasing perceived risk and severity of flu, and should enhance the behavioral intention to prevent flu than the other frame. If the message emphasizes on the gains of preventing flu, the other frame should be more effective and more persuasive. These hypotheses are consistent with the findings in Chandra and Menon’s (2004) study in which the authors used time frames to manipulate temporal distance (i.e. every day vs. every year). Figure 6 portrays the proposed interaction effect of self- and other frames (i.e. social distance) and gain- and loss frames (i.e. frame valence) on the issue of preventing flu. -FIGURE 6 IS PLACED HEREIV. CLT and Culture Liberman, Trope and Stephan (2007) suggested that the effects predicted by CLT could vary among independent and interdependent cultures. Research on cross-cultural psychology suggests that Asian and South American cultures emphasize more on the interdependence and interconnectedness of the individuals, whereas West European and North American cultures concentrate on his or her independence from others (Markus & Kitayama, 1991). The authors suggest that countries such as China and India are prone to interdependent cultures. Therefore, people from these countries may put more emphasis on the importance of other people and try to maintain the harmony of interpersonal relations. From the social distance perspective, interdependent cultures may be interpreted as maintaining proximity between a person and his or her socially surrounding (Liberman, Trope & Stephan, 2007). 10 In addition, the authors further proposed that if others are more proximal in interdependent cultures, then people would be more predisposed to apply low-level construals of distant issues or objects. In other words, people from interdependent cultures have a natural tendency to construal issues or objects with low-level, situation-specific, and relational terms (for a review, see Choi, Nisbett, & Norenzayan, 1999). For example, Morris and Peng (1994) conducted a series of studies among Chinese and American participants from high schools and graduate schools to test the cultural differences of fundamental attribution error. The notion of fundamental attribution error refers to the tendency to underestimate the impact of situational factors (low-level construals) and overestimate the role of personal and dispositional factors (high-level construals). In other words, people have the inclination to assume that a person’s behavior is due to what “kind” of person he/she is rather than due to the social or environmental factors influencing him/her. The findings of Morris and Peng (1994)’s studies revealed that the effect of fundamental attribution error was culturally limited. The author suggested that “in highly collectivist cultures, such as China, persons are primarily identified as group members, they cannot freely leave groups, and they are socialized to behave according to group norms, role constraints, and situational scripts (Morris & Peng, 1994, p. 592).” Consequently, Chinese tend to explain, view and perceive things by emphasizing on situational factors. For example, when Chinese participants were asked to weigh the possible causes for murder, they emphasized greatly on situational factors (e.g. influenced by violent movies; the murderer was frustrated because nobody respects him). These situational factors, according to CLT, are low-level construals. 11 On the other hand, the authors suggested that “in highly individualist cultures, such as the United States, persons are primarily identified as individual units, they can leave groups at will, and they are socialized to behave according to personal preferences (Morris & Peng, 1994, p. 592).” As a result, American participants incline to explain, view and perceive things by emphasizing on personal factors. For example, when American participants were asked to evaluate the possible causes for murder, they stressed more on personal factors (e.g. the murderer was crazy and had mental illness and personality problems.) These dispositional factors, according to CLT, are high-level construals. Overall, this study (Morris & Peng, 1994) ssuggested that people from collectivist/interdependent cultures are inclined to construal events or issues with situational factors (i.e. low-level construals), whereas people from individualist/independent cultures tend to construal events with dispositional factors (i.e. high-level construals). Nisbett, Peng, Choi and Norenzayan (2001) revealed a similar result. They suggested that people from interdependent cultures give more attention to the relationship between objects and process information in a contextual manner (i.e. low-level construals), whereas people from independent cultures pay more attention to the core attributes and processing information by isolating the objects from the background (i.e. high-level construals). Based on the literature related CLT and cross-cultural psychology, the effects of the self-other frames that I proposed above would be different in interdependent or independent cultures. I would propose that in the interdependent cultures like China, Korea or India, the persuasive effects of self-other frames will not be significant as it 12 would be in the independent cultures like the U.S. or some European countries. In other words, people with independent views should be more sensitive to the distinction between self and other, whereas people with interdependent views should be less responsive to this difference. Figure 7 illustrates the hypothesized interaction between social distance and cultural orientation. -FIGURE 7 IS PLACED HEREPrevious literature also suggests that independent individuals would be more reactive to high-level construals (e.g. dispositional factors, potential gain), while interdependent individuals would be more responsive to low-level construals (e.g. situational factor, potential loss). Therefore, individuals who are more independent from others would be more sensitive to gains, whereas those are more interdependent would be more responsive to losses. Figure 8 shows the hypothesized interaction effect between cultural orientation and gain- and loss frames. -FIGURE 8 IS PLACED HEREIt would be a little bit difficult to hypothesize the possible three-way interaction between gain-loss frames, self-other frames, and the cultural orientations without collecting data and conducting proper statistical analysis. However, CLT has offered scholars a chance to link a variety of theoretical frameworks (e.g. message framing, social distance, and cultural influence) together and explain related phenomenon. V. Implications of CTL for health communication research and practice Message framing theory has been central to the studies related to health communication. That theory offers explanation of the effects loss- and gain frames on motivating particular types of health behavior. In particular, it suggests that gain frames (e.g. benefits of taking a flu shot) would be more effective for preventive behaviors and 13 loss frames (e.g. costs of not doing mammography) would be more persuasive for detection-related behaviors (for a review, see Rothman et al., 2006). CLT offers another explanation for the effect of loss- and gain frames. First, CLT suggests that losses are subordinate to gains (Liberman, Trope & Stephan, 2007). For example, if people know a treatment has some health benefits, they would ask about its potential side effects before making a decision. But if there are no benefits, people won’t even bother to ask about the side effects. In the other scenario, no matter whether people already know about the treatment’s side effects or maybe they just vaguely know about the side effects, they would still ask for the benefits anyway because they want to determine whether the benefits outweigh the side effects. In other words, the importance of side effects (losses) depends on whether the treatment is beneficial or not (gains). However, the importance of benefits (gains) is independent of whether the treatment is known to have side effects (losses). Second, CLT predicts an interaction effect between psychological distance and frame valence. More specifically, gains are associated with high-level construals and become more salient when the psychological distance increases. Losses are associated with low-level construals and become more salient when the psychological distance decreases. As a result, if a health hazard is psychologically proximal to an individual, it could activate thoughts or actions to reduce the hazard. If a health benefit is psychologically distant to an individual, it could activate thoughts or actions to seek for the benefit. However, these hypothesized interaction effects still require more empirical tests. So far, the only direct support of this interaction comes from the study conducted by Chandran and Menon in 2004. Further research is definitely needed to enrich the understanding between the interactions between psychological distance and message 14 framing. When applying CLT in the domain of designing health-related persuasive messages, the reduction in psychological distance should be preferred because it makes the health problem more risky and drives people to do something about it (Chandran & Menon, 2004). Previous CLT literature have suggested plenty of strategies that can reduce the distance such as using a near-future frame instead of a distant-future frame (e.g. tomorrow vs. next year); a socially proximal frame instead of a socially distant frame (e.g. self vs. other); a spatially near frame instead of a spatially distant frame (e.g. people live next door v. live in another state), an imaginary situation instead of a reality. By reducing the distant, the perceived risk and severity will increase, which might motivate people to reduce the risk. However, how psychological distance could interact with prevention- or detection types of health behaviors is still unknown. If connecting CLT with the domain of cultural psychology, one of the suggestions I propose would be to design messages that fit the cultural characteristics of people. Cultural psychologists often use individualists/collectivists or independents/interdependents to classify national and individual cultural orientation. Numerous studies have suggested that people that are more individualistic or holding independent views prefer being uniqueness, whereas people that are more collectivistic or holding interdependent views favor being more similar to the group (Markus & Kitayama, 1991). Therefore, the distance between self and other among collectivist societies should be closer than that among individualist societies. In other words, collectivistic people or interdependents are more likely to view self as similar as others than individualistic people or independents. Consequently, collectivists’ people could have a natural tendency 15 to be less sensitive to the distance cues, concern more about group benefits or costs, and pay more attention to situational factors. In contrast, people from individualist societies or independents could be more sensitive to the distance cues, concern more about individual benefits or costs, and pay more attention to dispositional factors. In sum, CLT can carry a new perspective to understand the strategic health communication strategies. However, it hasn’t attracted sufficient attention from scholars in the field. Therefore, there are lots of potentials for future research for better understanding how psychological distance could interact with the loss-gain frames and/or other factors, which have conventionally been investigated in the health communication research. In addition, the links between psychological distance and cultural orientations might open a new window for future research on how same messages could yield distinct effects in various cultures. Note: Appendix I and the reference list are on the following pages. 16 Appendix I Abstractness High-level construals Dispositional attributes Concreteness Low-level construals Situational attributes Proximal objects Distant objects Figure 1. Theoretical links predicted by Construal Level Theory Abstractness High-level construals Dispositional attributes Concreteness Low-level construals Situational attributes Self Other In-groups Out-groups First-person Third-person Figure 2. Theoretical links of social distance and level of construal 17 Perceived risk of a health problem Temporal distance High Every year Every day Low Social distance Self Other Figure 3. Theoretical interaction effect of social distance and temporal distance on perceived risk of a health problem Evaluations of the health message Perceived risk and severity Persuasiveness of the health message Temporal distance Every day High Every year Low Outcome valence Positive Negative Figure 4. Theoretical interaction effect of social distance and outcome valence on the effectiveness of a health messages 18 Judgment for advocated health behavior Frames Loss Positive Gain Negative Social distance Self Other Figure 5. Theoretical illustration of the effect of social distance and frame valence on judgment for advocated health behavior Evaluations of the health message Perceived risk and severity Behavioral intent Social distance High Self Other Low Frames Gain Loss Figure 6. Hypothesized interaction effect of social distance and frame valence on the effectiveness of a health message 19 Effectiveness of the message Cultural Orientation High Independents Interdependents Low Social distance Self Other Figure 7. Hypothesized interaction effect of cultural orientation and social distance on effectiveness of a health message the effectiveness of a health message Effectiveness of the message Cultural Orientation High Independents Interdependents Low Frames Gain Loss Figure 8. Hypothesized interaction effect of cultural orientation and frame valence on the effectiveness of a health message 20 Reference Bar-Anan, Y., Liberman, N., & Trope, Y. (2006). The association between psychological distance and construal level: Evidence from an implicit association test. Journal of Experimental Psychology, 135, 609-622. Chandran, S. & Menon, G. (2004). When a day means more than a year: Effects of temporal framing on judgments of health risk. Journal of Consumer Research, 31, 375-389. Choi, I., Nisbett, R. E., & Norenzayan, A. (1999). Causal attribution across cultures: Variation and universality. Psychological Bulletin, 125, 47-63. Frank, M. G. & Gilovich, T. (1989). Effect of memory perspective on retrospective causal attributions. Journal of Personality and Social Psychology, 57, 399-403. Gilbert, D. T. (1998). Ordinary Personology, In D. T. Gilbert, S. Y. Fiske, & L. Gardener (Eds.), The handbook of social psychology (Vol. 2, pp. 89-150). New York: McGraw-Hill. Jone, E. E. & Nisbett, R. E. (1972). The actor and the observer: Divergent perceptions of the causes of behavior. In E. E. Jones, D. E. Kanouse, H. H. Kelley, R.E. Nisbett, S. Vlins, & B. Weiner (Eds.), Attribution: Perceiving the causes of behavior (pp. 79-94). Morristown, NJ: General Learning Press. Liberman, N., Trope, Y., & Stephan, E. (2007). Psychological distance. In A. W. Kruglanski & E. T. Higgins (Eds.), Social psychology: Handbook of basic principles (Vol. 2, pp. 353-383). New York: Guilford Press. Libby, L. K. & Eibach, R. P. (2002). Looking back in time: Self-concept change affects visual perspective in autobiographical memory. Journal of Personality and Social Psychology, 82, 167-179. Markus, H. R. & Kitayama, S. (1991). Culture and the self: Implications for cognition, emotion, and motivation. Psychological Review, 98(2), 244-253. Menon, G., Block, L. G., & Ramanathan, S. (2002). We’re at as much risk as we’re led to believe: Effects of message cues on judgments of health risk. Journal of Consumer Research, 28, 533-549. Morris, M. W. & Peng, K. (1994). Culture and cause: American and Chinese attributions for social and physical events. Journal of Personality and Social Psychology, 67, 21 949-971. Nan, X. (2007). Social distance, framing, and judgment: A construal level perspective, Human Communication Research, 33, 489–514. Nisbett, R. E., Peng, K., Choi, I., & Trope, Y. (2001). Culture and systems of thought: Holistic versus analytic cognition. Psychological Review, 108, 291-310. Perloff, R. & Fetzer, B. K. (1986). Self-other judgments and perceived vulnerability to victimization. Journal of Personality and Social Psychology, 50, 520-510. Raghubir, P. & Menon, G. (1998). AIDS and me, never the twain shall meet: The effects of information accessibility on judgments of risk and advertising effectiveness. Journal of Consumer Research, 26, 52-63. Robins, R. W., Spranca, M. D. & Mendelsohn, G. A. (1996). The actor-observer effect revisited: Effects of individual differences and repeated social interactions on actor and observer attributions. Journal of Personality and Social Psychology, 71, 375-389. Rothman, A. J., Bartels, R. D., Wlaschin, J., & Salovey, P. (2006). The strategic use of gain- and loss-framed messages to promote healthy behaviors: How theory can inform practice. Journal of Communication, 56, 202-220. Semin, G.. R. & Fiedler, K. (1988). The cognitive functions of linguistic categories in describing persons: Social cognition and language. Journal of Personality and Social Psychology, 54, 558-568. Trope, Y. & Liberman, N. (2003). Temporal construal. Psychological Review, 110, 403-421. Trope, Y. (2004). Theory in social psychology: Seeing the forest or the tress. Personality and Social Psychology Review, 8, 193-200. Trope, Y., Liberman, N., & Wakslak, C. (2007). Construal levels and psychological distance: Effects on representation, prediction, evaluation, and behavior. Journal of Consumer Psychology, 17, 83-95. 22