Set the Error Covariances of PR and PRO Free Path Diagram Lisrel Output RS SE SS SC MI TV PC TO EF FS End of Problem

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1 SIMPLIS The path analysis of emotion regulation, regulatory focus, optimism and creativity. Observed Variable: PCE = FFC = RA = SU = CL = PRO = PRE = IB = CSE = Correlation Matrix: Latent Variable: OP = CRE = Sample Size: 909 Relationships: PCE FFC = OP IB CSE = CRE OP = RA SU CL PRO PRE CRE = OP Set the Error Covariances of PR and RA Free Set the Error Covariances of PR and PRE Free Set the Error Covariances of PR and SU Free

2 Set the Error Covariances of PR and PRO Free Path Diagram Lisrel Output RS SE SS SC MI TV PC TO EF FS End of Problem

3 Degrees of Freedom = 12 Minimum Fit Function Chi-Square = (P = 0.055) Normal Theory Weighted Least Squares Chi-Square = (P = 0.055) Estimated Non-centrality Parameter (NCP) = Percent Confidence Interval for NCP = (0.0 ; 25.42) Minimum Fit Function Value = Population Discrepancy Function Value (F0) = Percent Confidence Interval for F0 = (0.0 ; 0.028) Root Mean Square Error of Approximation (RMSEA) = Percent Confidence Interval for RMSEA = (0.0 ; 0.048) P-Value for Test of Close Fit (RMSEA < 0.05) = 0.96 Expected Cross-Validation Index (ECVI) = Percent Confidence Interval for ECVI = (0.086 ; 0.11) ECVI for Saturated Model = ECVI for Independence Model = 3.22 Chi-Square for Independence Model with 36 Degrees of Freedom = Independence AIC = Model AIC = Saturated AIC = Independence CAIC = Model CAIC = Saturated CAIC = Normed Fit Index (NFI) = 0.99 Non-Normed Fit Index (NNFI) = 0.99 Parsimony Normed Fit Index (PNFI) = 0.33 Comparative Fit Index (CFI) = 1.00 Incremental Fit Index (IFI) = 1.00 Relative Fit Index (RFI) = 0.98 Critical N (CN) = Root Mean Square Residual (RMR) = Standardized RMR = Goodness of Fit Index (GFI) = 0.99 Adjusted Goodness of Fit Index (AGFI) = 0.98 Parsimony Goodness of Fit Index (PGFI) = 0.27

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7 LOT : 18 (1 2 3 )

8 : 10 (1 2 3 ) ( ) ( )

9 : 18 (1 2 3 )

10 : 7 (1 2 3 ) : (1 2 3 )

11 ( ) ( ) ~85 84 ~80 79 ~75 74 ~70 69 ~65 64 ~

12 : 1 (1 2 3 ) LOT LOT LOT LOT LOT LOT LOT LOT

13 : 18 (1 2 3 )

14 : 12 (1 2 3 ) ( ) ( )

15 : 18 (1 2 3 )

16 : 7 (1 2 3 ) : (1 2 3 )

17 1. 2. ( ) ( ) ~85 84 ~80 79 ~75 74 ~70 69 ~65 64 ~ ( ) 7. ( )

18 Dr. Gross ( ) Dear Dr. Gross I read with great interest your article Individual Differences in Two Emotion Regulation Processes: Implications for Affect, Relationships, and Well-Being which appeared in Journal of Personality and Social Psychology, 2003, Vol. 85, No. 2, I would like to use the Emotion Regulation Questionnaire you and Dr. John developed in that article for my thesis. The topic of my thesis is Emotion regulation, regulatory focus, optimism and creativity. I have read the Emotion Regulation Questionnaire on your website ( I would appreciate it very much if you would allow me to use it for my research. Thank you very much. Sincerely yours. Cheng-Hsien Li

19 ( ) Of course! Please keep us posted as to how your study goes. Best wishes, James James J. Gross, Ph.D. Associate Professor Department of Psychology Stanford University Stanford, CA Tel: (650) Fax: (650) james@psych.stanford.edu Stanford Psychophysiology Laboratory LAB: PERSONAL:

20 Tierney Dear Dr. Tierney I read with great interest your article Creative Self-Efficacy: Its Potential Antecedents And Relationship To Creative Performance which appeared in Academy of Management Journal, 2002, Vol. 45, No. 6, I would like to use the creative self-efficacy scale you and Dr. Farmer developed in that article for my thesis. The topic of my thesis is Emotion regulation, regulatory focus, optimism and creativity. Creative self-efficacy is one of the creativity measure. I would appreciate it very much if you could send the 3 items scale and relevant information. And please allow me to use it for my research. Thank you very much. Sincerely yours. Cheng-Hsien Li

21 ( ) Dear Cheng-Hsien, I appreciate your interest in using our measure for your research. I have pasted below the 3 item measure used in the AMJ article. Since that time we have conducted some additional psychometric work on the CSE measure and as a result have added a fourth item to the scale. Please use this additional item with the rest of the scale; you may cite its inclusion per a personal communication with me as of this date. Thank you. (1) I feel that I am good at generating novel ideas. (2) I have confidence in my ability to solve problems creatively. (3) I have a knack for further developing the ideas of others. (4) I am good at finding creative ways to solve problems. (NEW ITEM) The scale is measured on a 1-7 Likert basis (1= Very strongly disagree; 2= Strongly disagree; 3= Disagree; 4= Neutral; 5 = Agree; 6 = Strongly agree; 7 = Very strongly disagree). We would appreciate any feedback you could provide on the performance of the CSE in your research project. Good luck with your thesis - it sounds like a great concept. Regards, Pam `````````` Pamela Tierney, Ph.D. Ames Professor of Innovation and Technology Management School of Business Portland State University PO Box 751 Portland OR (503)

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<4D F736F F D20BDD7A4E5A4BAA4E5BB50A5D8BFFD2E646F63> 附錄一最終模型 SIMPLIS 語法 Title: 建模樣本 Observed Variables: x1-x22 covariance matrix from file final01cov means from file final01means sample size: 2181 latent variables: interest instrument anxiety selfconcept