Poster: Group norms, personal priorities and temporal fidelity (SPSP 2013, SSSP 2013)

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Information about Poster: Group norms, personal priorities and temporal fidelity (SPSP...
Education

Published on February 17, 2014

Author: chrismartin76

Source: slideshare.net

Group Norms, Personal Priorities and Temporal Fidelity Aspects of Implicit–Explicit Motive Congruence and Implications for Well-Being Chris C. Martin, Amanda K. Fuller, & Todd M. Thrash Measuring Implicit-Explicit Congruence A total of 309 undergraduates, split across two samples, participated in a weekly diary study spanning eight weeks. ‣ Implicit–explicit congruence (consistency) varies across persons, but measuring congruence accurately is challenging. ‣ Currently, the accepted method is to model congruence normatively. A person is highly congruent, for instance, if his or her z score is +1 on implicit motivation and +1 on explicit motivation. ‣ However, normative measurement is arbitrary and subject to sampling variability. Moreover, this approach does not account for the unique personality structure of each individual. Relating Implicit–Explicit Motive Congruence to Well-Being ‣ People who are motivationally congruent Measures ‣ Implicit Motives: Measured using the MultiMotive Grid (MMG-S: Sokolowski, Schmalt, Langens, & Puca, 2000), a semi-projective measure. motivational statements from Sheldon, Elliot, Kim, and Kasser (2001) (e.g., "This week I have felt an impulse or desire to feel capable in what I do.”) ‣ Well-Being: Positive and Negative Affect Schedule (PANAS: Watson, Clark, & Tellegen, 1988); Satisfaction with life scale (SWLS; Diener, Emmons, Larsen, & Griffin (1985), Subjective vitality scale (Ryan & Fredrick, 2007); and Self-actualization scale (Sheldon et al., 2001). Computing Congruence Scores ‣ As a result, they should experience greater standardized, and the absolute difference of z scores was computed. For configural and temporal congruence, HLM residuals were used. ‣ The lack of consistency may arise from measurement problems. Better measurements may yield consistent results. Proposed Measurements Congruence measurement can be based on: 1. Personal Priorities (configural congruence): This method accounts for the relative strengths of internal motives. 2. Temporal Fidelity (temporal congruence): This method accounts for covariation of motivations over time. Incongruent Achievement Affiliation Power ‣ For normative congruence, scores were Diener, E., Emmons, R. A., Larsen, R. J., & Griffin, S. (1985). doi: 10.1207/s15327752jpa4901_13 Ryan, R. M., & Frederick, C. (1997). doi: 10.1111/j.14676494.1997.tb00326.x Sheldon, K. M., Elliot, A. J., Kim, Y., & Kasser, T. (2001). doi: 10.1037/00223514.80.2.325 Sokolowski, K., Schmalt, H.-D., Langens, T. A., & Puca, R. M. (2000). doi: 10.1207/S15327752JPA740109 Watson, D., Clark, L. A., & Tellegen, A. (1988). doi: 10.1037/00223514.54.6.1063 Incongruent Congruent Incongruent Congruent Ach Aff Pow Time Normative congruence was an inconsistent predictor of wellbeing. It predicted mean well-being in Sample 1, but not Sample 2. Normative congruence had low predictive validity. Thus, measuring congruence normatively may be suboptimal. The average participant was configurally incongruent, with much variance across participants. Configural congruence robustly predicted mean well-being and growth in well-being in both samples. Among people with high configural congruence, the highest amount of energy is devoted to the most satisfying pursuits. Thus, it may cause greater well-being. The average participant was temporally congruent in all domains, with little variance across participants. Temporal congruence consistently predicted lower well-being across both samples. Uniquely among the congruence types, it positively and robustly predicted NA. Excessive temporal congruence may indicate an inefficient, impulsive diffusion of effort, instead of consistent commitment to goals. Thus, it may cause greater ill-being. Time Explicit ‣ Latent growth curve models were used to References The average participant was incongruent, and congruence scores varied greatly across participants. Implicit Data Analysis examine the relationship of each type of congruence with the intercept and slope of individual well-being. Individual Differences Discussion Congruent ‣ Explicit Motives: Agree-disagree scales with should pursue explicit goals that are aligned with their internal appetitive structure. well-being . The literature tends to support this hypothesis, but results are mixed. Overall Personal Priorities (Configural) conscious (explicit) systems of motivation. Temporal Fidelity (Temporal) ‣ People have unconscious (implicit) and Results Explicit Methods Comparison to Group Norm (Normative) Introduction College of William and Mary, Williamsburg, VA Implicit Sample 1 Sample 2 Correlations Conclusion Mean Standardized Path Coefficients Slope (r) Mean Slope (β) Correlations Mean Standardized Path Coefficients Slope (r) Mean Slope (β) Normative PA The three types of congruence were distinct, and they played different roles in predicting well-being. Given the weakness of normative measurement, measuring configural and temporal congruence may be more useful in future research. .24** -.15 .15* -.24 .14 NA -.05 -.20 -.06 -.12 -.07 .17 -.07 .10 SWLS .24** .21 .20** .10 -.01 -.03 -.08 -.01 Vitality .23** .03 .16* -.07 .11 -.03 .31** -.03 .15† Self-actualization .31*** .03 .02 .08 .07 .04 Configural PA .53*** .38* .43*** .44* .74*** NA -.04 -.44* .07 -.35† -.09 .16 -.04 .26† SWLS .34*** .58*** .20* .56*** .58*** .02 .58*** -.04 Vitality .40*** .53* .30*** .51* .63*** .39** .43*** .39** .64*** Self-actualization .43*** .75*** .63*** .34* .63*** .33* Longitudinal PA -.36*** -.12 -.21** .03 -.16† NA .26** .30† .28** .18 .16† .32* .16† .38** SWLS -.34*** -.21 -.27*** .00 -.21* -.18 -.05 .19† Vitality -.29** -.29 -.18* -.11 -.15† -.16 -.21* -.16 -.16† Self-actualization -.21* .05 .02 -.09 .01 .00

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