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Journal of Happiness Studies

, Volume 14, Issue 1, pp 115–134 | Cite as

Positive Automatic Cognitions Mediate the Relationship Between Personality and Trait Positive Affect

  • Owen Richard LightseyJr.Email author
  • George Gharibian Gharghani
  • Aron Matthew Katz
  • Valerie Ann McKinney
  • Eli Benjamin Rarey
Research Paper

Abstract

Positive affect (PA) has emerged as a key well-being facet and a powerful predictor of physical and psychological well-being. One of the strongest predictors of PA is personality, particularly neuroticism and extraversion. However, the mechanisms via which personality affects PA are not well-understood. Consistent with theories that accord cognitive factors a role in mediating the relationship between personality and outcomes, we tested whether positive automatic thoughts (PATs) mediated the relationship between neuroticism, extraversion, and PA among 199 college students (137 women, 70% White, 66% first and second year students, mean age = 24.13, SD = 8.86). Consistent with hypotheses, structural equation modeling indicated that PATs fully mediated the relationship between both neuroticism and extraversion and PA. The structural model fit the data well, χ2/df = 2.33, CFI = .96, SRMR = .07, RMSEA = .08 (90% CI: .06, .10), AIC = 172.45, and accounted for 58% of the variance in PA. An alternative model in which personality predicted PA, which in turn predicted PATs, did not provide as good a fit to the data, χ2/df = 3.03, CFI = .94, SRMR = .09, RMSEA = .10 (90% CI: .08, .12), AIC = 207.40. Models in which negative automatic thoughts (NATs) were construed as fully [χ2/df = 4.46, CFI = .95, SRMR = .08, RMSEA = .13 (90% CI: .11, .16)] or partially [χ2/df = 4.04, CFI = .96, SRMR = .06, RMSEA = .12 (90% CI: .10, .15)] mediating the relationship between neuroticism and negative affect did not provide a good fit to the data. A final model in which negative affect was tested a mediator of the relationship between neuroticism and NATs also did not fit the data well, χ2/df = 4.03, CFI = .96, SRMR = .07, RMSEA = .12 (90% CI: .10, .15).

Keywords

Positive automatic thoughts Positive thinking Positive affect Personality Neuroticism Extraversion Mediation 

References

  1. Anderson, J. C., & Gerbing, D. W. (1988). Structural equation modeling in practice: A review and recommended two step approach. Psychological Bulletin, 103, 411–423. doi: 10.1037/0033-2909.103.3.411.CrossRefGoogle Scholar
  2. Arbuckle, J. L. (2006a). AMOS (version 7.0) [computer software]. Chicago: SPSS.Google Scholar
  3. Arbuckle, J. L. (2006b). AMOS 7.0 user’s guide. Spring House, PA: AMOS Development Corporation.Google Scholar
  4. Artistico, D., Baldassarri, F., & Lauriola, M. (1999). Costruzione e validazione di una forma breve del Multidimensional Health Questionnaire per la popolazione anziana. Rassegna di Psicologia, 16, 133–140. Abstract retrieved from PsycINFO database.Google Scholar
  5. Bailey, H. A. (2004). Coue revisited: An internet-based investigation of repetition and positive self-statements on depression, self-esteem, and automatic thoughts. Dissertation Abstracts International: Section B: The Sciences and Engineering, 64(12-B), 6348. Abstract retrieved from http://www.CSA.com.
  6. Bandura, A. (1997). Self-efficacy: The exercise of control. New York: W.H. Freeman.Google Scholar
  7. Beck, A. T. (1967). Depression: Clinical, experimental, and theoretical aspects. New York: Harper & Row.Google Scholar
  8. Beck, A. T., Rush, A. J., Shaw, B. F., & Emery, G. (1979). Cognitive therapy of depression. New York: Guilford Press.Google Scholar
  9. Beck, A. T., Steer, R. A., & Brown, G. K. (1996). Manual for the beck depression inventory (2nd ed.). San Antonio, TX: Psychological Corporation.Google Scholar
  10. Beck, A. T., Ward, C. H., Mendelson, M., Mock, J., & Erbaugh, J. (1961). An inventory for measuring depression. Archives of General Psychiatry, 4, 561–571.CrossRefGoogle Scholar
  11. Beck, A. T., & Weishaar, M. (1989). Cognitive therapy. In A. Freeman, K. M. Simon, L. E. Beutler, & H. Arkowitz (Eds.), Comprehensive handbook of cognitive therapy (pp. 21–36). New York: Plenum Press.Google Scholar
  12. Bollen, K. A., & Stine, R. (1990). Direct and indirect effects: Classical and bootstrap estimates of variability. Sociological Methodology, 20, 115–140.CrossRefGoogle Scholar
  13. Bower, G. H., & Forgas, J. P. (2001). Mood and social memory. In J. P. Forgas (Ed.), Handbook of affect and social cognition (pp. 95–120). Mahwah, NJ: Lawrence Erlbaum.Google Scholar
  14. Boyraz, G., & Lightsey, O. R., Jr. (in press). Can positive thinking help? Positive automatic thoughts as moderators of the stress–meaning relationship. American Journal of Orthopsychiatry. Google Scholar
  15. Bruch, M. A. (1997). Positive thoughts or cognitive balance as a moderator of the negative life events–dysphoria relationship: A reexamination. Cognitive Therapy and Research, 21, 25–38.CrossRefGoogle Scholar
  16. Burgess, E., & Haaga, D. A. F. (1994). The Positive Automatic Thoughts Questionnaire (ATQ-P) and the Automatic Thoughts Questionnaire—Revised: Equivalent measures of positive thinking. Cognitive Therapy and Research, 18, 15–23.CrossRefGoogle Scholar
  17. Casey, L. M., Newcombe, P. A., & Oei, T. P. S. (2005). Cognitive mediation of panic severity: The role of catastrophic misinterpretation of bodily sensations and panic self-efficacy. Cognitive Therapy and Research, 29, 187–200. doi: 10.1007/s10608-005-3164-3.CrossRefGoogle Scholar
  18. Chioqueta, A., & Stiles, T. (2007a). Cognitive factors, engagement in sport, and suicide risk. Archives of Suicide Research, 11, 375–390. doi: 10.1080/13811110600897143.CrossRefGoogle Scholar
  19. Chioqueta, A., & Stiles, T. (2007b). Dimensions of the Dysfunctional Attitude Scale (DAS-A) and the Automatic Thoughts Questionnaire (ATQ-30) as cognitive vulnerability factors in the development of suicide ideation. Behavioural and Cognitive Psychotherapy, 35(5), 579–589. doi: 10.1017/S1352465807003803.CrossRefGoogle Scholar
  20. Cohen, S., & Edwards, J. R. (1989). Personality characteristics as moderators of the relationship between stress and disorder. In R.W.J. Neufeld (Ed.), Advances in the investigation of psychological stress. Wiley series on health psychology/behavioral medicine. Oxford, UK: Wiley.Google Scholar
  21. Coleman, R. E. (1975). Manipulation of self-esteem as a determinant of mood of elated and depressed women. Journal of Abnormal Psychology, 84, 693–700. doi: 10.1037/0021-843X.84.6.693.CrossRefGoogle Scholar
  22. Costa, P. T., Jr., & McCrae, R. R. (1992). NEO-PI-R professional manual. Odessa, FL: Psychological Assessment Resources.Google Scholar
  23. Diener, E. (1996). Traits can be powerful, but are not enough: Lessons from subjective well-being. Journal of Research in Personality, 30, 389–399. doi: 10.1006/jrpe.1996.0027.CrossRefGoogle Scholar
  24. Division of Statistics and Scientific Computation, College of Natural Sciences, The University of Texas at Austin. (2011). AMOS. Retrieved October 18, 2011 from http://ssc.utexas.edu/software/faqs/amos#Amos_3.
  25. Dozois, D. J. A. (2007). Stability of negative self-structures: A longitudinal comparison of depressed, remitted, and nonpsychiatric controls. Journal of Clinical Psychology, 63, 319–338. doi: 10.1002/jclp.20349.CrossRefGoogle Scholar
  26. Dweck, C. S. (2008). Can personality be changed? The role of beliefs in personality and change. Current Directions in Psychological Science, 17, 391–394. doi: 10.1111/j.1467-8721.2008.00612.x.CrossRefGoogle Scholar
  27. Edwards, J. R., & Lambert, L. S. (2007). Methods for integrating moderation and mediation: A general analytical framework using moderated path analysis. Psychological Methods, 12, 1–22. doi: 10.1037/1082-989X.12.1.1.CrossRefGoogle Scholar
  28. Ellis, A., Gordon, J., Neenan, M., & Palmer, S. (1998). Stress counseling: A rational emotive behavior approach. New York: Springer.Google Scholar
  29. Ery, P., & Debats, D. (2009). Perfectionism and the five-factor personality traits as predictors of mortality in older adults. Journal of Health Psychology, 14, 513–524. doi: 10.1177/1359105309103571.CrossRefGoogle Scholar
  30. Folkman, S., & Moskowitz, J. T. (2000). Positive affect and the other side of coping. American Psychologist, 55, 647–654. doi: 10.1037/0003-066X.55.6.647.CrossRefGoogle Scholar
  31. Frazier, P. A., Tix, A. P., & Barron, K. E. (2004). Testing moderator and mediator effects in counseling psychology research. Journal of Counseling Psychology, 51, 115–134. doi: 10.1037/0022-0167.51.2.157.CrossRefGoogle Scholar
  32. Fredrickson, B. L. (2000). Cultivating positive emotions to optimize health and well-being. Prevention & Treatment, 3, 49–74. doi: 10.1037/1522-3736.3.1.31a.Google Scholar
  33. Fredrickson, B. L., Tugade, M. M., Waugh, C. E., & Larkin, G. R. (2003). What good are positive emotions in crisis? A prospective study of resilience and emotions following the terrorist attacks on the united states on September 11th, 2001. Journal of Personality and Social Psychology, 84, 365–376. doi: 10.1037/0022-3514.84.2.365.CrossRefGoogle Scholar
  34. Fujita, F. (1993). An investigation of the relation between extraversion, neuroticism, positive affect, and negative affect. Unpublished masters thesis, University of Illinois.Google Scholar
  35. Furlong, M., & Oei, T. (2002). Changes to automatic thoughts and dysfuntional attitudes in group CBT for depression. Behavioural and Cognitive Psychotherapy, 30, 351–360. doi: 10.1017/S1352465802003107.CrossRefGoogle Scholar
  36. Garamoni, G. L., Reynolds, C. F., Thase, M. E., Frank, E., & Fasiczka, A. L. (1992). Shifts in affective balance during cognitive therapy of major depression. Journal of Consulting and Clinical Psychology, 60, 260–266. doi: 10.1037/0022-006X.60.2.260.CrossRefGoogle Scholar
  37. Garson, G. D. (2009). Structural equation modeling. Retrieved from http://faculty.chass.ncsu.edu/garson/PA765/structur.htm.
  38. Glass, C. R., & Arnkoff, D. B. (1997). Questionnaire methods of cognitive self-statement assessment. Journal of Consulting and Clinical Psychology, 65, 911–927. doi: 10.1037/0022-006X.65.6.911.CrossRefGoogle Scholar
  39. Goldberg, L. R. (1992). The development of markers for the Big-Five factor structure. Psychological Assessment, 4, 26–42. doi: 10.1037/1040-3590.4.1.26.CrossRefGoogle Scholar
  40. Gray, J. A. (1987). Perspectives on anxiety and impulsivity: A commentary. Journal of Research in Personality, 21, 493–509. doi: 10.1016/0092-6566(87)90036-5.CrossRefGoogle Scholar
  41. Harrell, T. H., & Ryon, N. B. (1983). Cognitive-behavioral assessment of depression: Clinical validation of the Automatic Thoughts Questionnaire. Journal of Consulting and Clinical Psychology, 51, 721–725. doi: 10.1037/0022-006X.51.5.721.CrossRefGoogle Scholar
  42. Hollon, S. D., & Kendall, P. C. (1980). Cognitive self-statements in depression: Development of an automatic thoughts questionnaire. Cognitive Therapy and Research, 4, 383–395. doi: 10.1007/BF01178214.CrossRefGoogle Scholar
  43. Holmbeck, G. N. (2002). Post hoc probing of significant moderational and mediational effects in studies of pediatric populations. Journal of Pediatric Psychology, 27, 87–96. doi: 10.1093/jpepsy/27.1.87.CrossRefGoogle Scholar
  44. Hooper, D., Coughlan, J., & Mullen, M. (2008). Structural equation modeling: Guidelines for determining model fit. The Electronic Journal of Business Research Methods, 6, 53–60. Retrieved from http://www.ejbrm.com/.
  45. Ingram, R. E., Atkinson, J. H., Slater, M. A., Saccuzzo, D. P., & Garfin, S. R. (1990). Negative and positive cognition in depressed and nondepressed chronic-pain patients. Health Psychology, 9, 300–314. doi: 10.1037/0278-6133.9.3.300.CrossRefGoogle Scholar
  46. Ingram, R. E., Kendall, P. C., Siegle, G., Guarino, J., & McLaughlin, S. C. (1995). Psychometric properties of the Positive Automatic Thoughts Questionnaire. Psychological Assessment, 7, 495–507. doi: 10.1037/1040-3590.7.4.495.CrossRefGoogle Scholar
  47. Ingram, R. E., & Wisnicki, K. S. (1988). Assessment of positive automatic cognition. Journal of Consulting and Clinical Psychology, 56, 898–902. doi: 10.1037/0022-006X.56.6.898.CrossRefGoogle Scholar
  48. Isen, A. M. (2002). Missing in action in the AIM: Positive affect’s facilitation of cognitive flexibility, innovation, and problem solving. Psychological Inquiry, 13, 57–65.Google Scholar
  49. Isen, A. M. (2004). Some perspectives on positive feelings and emotions: Positive affect facilitates thinking and problem solving. In A. S. R. Manstead, N. Frijda, & A. Fischer (Eds.), Feelings and emotions: The Amsterdam symposium: Studies in emotion and social interaction (pp. 263–281). New York: Cambridge University Press.CrossRefGoogle Scholar
  50. Iwasa, H., Masui, Y., Gondo, Y., Inagaki, H., Kawaai, C., & Suzuki, T. (2008). Personality and all-cause mortality among older adults dwelling in a Japanese community: A five-year population-based prospective cohort study. The American Journal of Geriatric Psychiatry, 16(5), 399–405. doi: 10.1097/JGP.0b013e3181662ac9.CrossRefGoogle Scholar
  51. John, O. P., Donahue, E. M., & Kentle, R. L. (1991). The big five inventory—Versions 4a and 54. Berkeley, CA: University of California, Berkeley Institute of Personality and Social Research.Google Scholar
  52. John, O. P., & Srivastava, S. (1999). The big five trait taxonomy: History, measurement, and theoretical perspectives. In L. A. Pervin & O. P. John (Eds.), Handbook of personality: Theory and research (pp. 102–138). New York: Guilford Press.Google Scholar
  53. Johnson, J., Gooding, P., Wood, A., & Tarrier, N. (2010). Resilience as positive coping appraisals: Testing the Schematic Appraisals Model of Suicide (SAMS). Behaviour Research and Therapy, 48, 179–186. doi: 10.1016/j.brat.2009.10.007.CrossRefGoogle Scholar
  54. Jolly, J. B., & Wiesner, D. C. (1996). Psychometric properties of the Automatic Thoughts Questionnaire—Positive with inpatient adolescents. Cognitive Therapy and Research, 20, 481–498. doi: 10.1007/BF02227909.CrossRefGoogle Scholar
  55. Kaufman, N., Rohde, P., Seeley, J., Clarke, G., & Stice, E. (2005). Potential mediators of cognitive-behavioral therapy for adolescents with comorbid major depression and conduct disorder. Journal of Consulting and Clinical Psychology, 73, 38–46. doi: 10.1037/0022-006X.73.1.38.CrossRefGoogle Scholar
  56. Kazdin, A. E. (1990). Evaluation of the Automatic Thoughts Questionnaire: Negative cognitive processes and depression among children. Psychological Assessment: A Journal of Consulting and Clinical Psychology, 2, 73–79. doi: 10.1037/1040-3590.2.1.73.Google Scholar
  57. Kendall, P. C., Howard, B. L., & Hays, R. C. (1989). Self-referent speech and psychopathology: The balance of positive and negative thinking. Cognitive Therapy and Research, 13, 583–598. doi: 10.1007/BF01176069.CrossRefGoogle Scholar
  58. King, L. A., Hicks, J. A., Krull, J. L., & Del Gaiso, A. K. (2006). Positive affect and the experience of meaning in life. Journal of Personality and Social Psychology, 90, 179–196.CrossRefGoogle Scholar
  59. Kline, R. B. (1998). Principles and practice of structural equation modeling. New York: Guilford Press.Google Scholar
  60. Kuntsche, E., von Fischer, M., & Gmel, G. (2008). Personality factors and alcohol use: A mediator analysis of drinking motives. Personality and Individual Differences, 45, 796–800. doi: 10.1016/j.paid.2008.08.009.CrossRefGoogle Scholar
  61. Lazarus, R. S. (1995). Emotions express a social relationship, but it is an individual mind that creates them. Psychological Inquiry, 6, 253–265. doi: 10.1207/s15327965pli0603_14.CrossRefGoogle Scholar
  62. Leucht, S., Wada, M., & Kurz, A. (1997). Sind negative kognitionen symptome einer depression oder auch ausdruck von persönlichkeitszügen?. Der Nervenarzt, 68(7), 563–568. doi: 10.1007/s001150050161. Abstract retrieved July 23, 2010 from PsycINFO database.
  63. Lightsey, O. R., Jr. (1992). Cognitions as trait-like vulnerability factors: The viability of “trait” positive and negative thoughts as predictors of future depressive reactions. (Unpublished doctoral dissertation). The University of Maryland, College Park, Maryland.Google Scholar
  64. Lightsey, O. R., Jr. (1994a). “Thinking positive” as a stress-buffer: The role of positive automatic cognitions in depression and happiness. Journal of Counseling Psychology, 41, 325–334. doi: 10.1037/0022-0167.41.3.325.CrossRefGoogle Scholar
  65. Lightsey, O. R., Jr. (1994b). Positive automatic cognitions as moderators of the negative life event–dysphoria relationship. Cognitive Therapy and Research, 18, 353–365. doi: 10.1007/BF02357510.CrossRefGoogle Scholar
  66. Lightsey, O. R., Jr. (1996). What leads to wellness? The role of psychological resources in well-being. Counseling Psychologist, 24, 589–759. doi: 10.1177/0011000096244002.CrossRefGoogle Scholar
  67. Lightsey, O. R., Jr. (1999). Positive thoughts versus states of mind ratio as a stress moderator: Findings across four studies. Cognitive Therapy and Research, 23, 469–482. doi: 10.1023/A:1018716303842.CrossRefGoogle Scholar
  68. Lightsey, O. R., Jr., Johnson, E., & Freeman, P. (in press). Can positive thinking reduce negative affect? A test of potential mediating mechanisms. Journal of Cognitive Psychotherapy.Google Scholar
  69. Lightsey, O. R., Jr., McGhee, R., Ervin, A., Boyraz, G., Daigle, R. P., Wright, K. F., et al. (2011). Do positive thoughts predict trait positive affect? (Manuscript submitted for publication).Google Scholar
  70. Lightsey, O. R. Jr., Nash, T. M., Maxwell, D. A., Rarey, E. B., & McKinney, V. A. (2011). Self-control and self-efficacy for affect regulation as moderators of the negative affect—life satisfaction relationship. Journal of Cognitive Psychotherapy, 25, 142–154. doi:  10.1891/0889-8391.25.2.142.Google Scholar
  71. Lyubomirsky, S. (2001). Why are some people happier than others? The role of cognitive and motivational processes in well-being. American Psychologist, 56, 239–249. doi: 10.1037/0003-066X.56.3.239.CrossRefGoogle Scholar
  72. Lyubomirsky, S., King, L., & Diener, E. (2005). The benefits of frequent positive affect: Does happiness lead to success? Psychological Bulletin, 131, 803–855. doi: 10.1037/0033-2909.131.6.803.CrossRefGoogle Scholar
  73. MacKinnon, D. P., Lockwood, C. M., & Williams, J. (2004). Confidence limits for the indirect effect: Distribution of the product and resampling methods. Multivariate Behavioral Research, 39, 99–128. doi: 10.1207/s15327906mbr3901_4.CrossRefGoogle Scholar
  74. Mak, W. W. S., Ng, I. S. W., & Wong, C. C. Y. (2011). Resilience: Enhancing well-being through the positive cognitive triad. Journal of Counseling Psychology. Advance online publication. doi: 10.1037/a0025195.
  75. Mallinckrodt, B., Abraham, W. T., Wei, M., & Russell, D. W. (2006). Advances in testing the statistical significance of mediation effects. Journal of Counseling Psychology, 53, 372–378. doi: 10.1037/0022-0167.53.3.372.CrossRefGoogle Scholar
  76. Mason, S., Farrow, T. F. D., Fawbert, D., Smith, R., Bath, P. A., Hunter, M., et al. (2009). The development of a clinically useful tool for predicting the development of psychological disorder following injury. British Journal of Clinical Psychology, 48, 31–45. doi: 10.1348/014466508X344799.CrossRefGoogle Scholar
  77. McCann, I. L., Sakheim, D. K., & Abrahamson, D. J. (1988). Trauma and victimization: A model of psychological adaptation. Counseling Psychologist, 16, 531–594.CrossRefGoogle Scholar
  78. McKellar, J. D., Malcarne, V. L., & Ingram, R. E. (1996). States-of-mind and negative affectivity. Cognitive Therapy and Research, 20, 235–346. doi: 10.1007/BF02229235.CrossRefGoogle Scholar
  79. Missel, P., & Sommer, G. (1983). Depression and self-verbalization. Cognitive Therapy and Research, 7, 141–148. doi: 10.1007/BF01190067.CrossRefGoogle Scholar
  80. Olioff, M., Bryson, S. E., & Wadden, N. P. (1989). Predictive relation of automatic thoughts and student efficacy to depressive symptoms in undergraduates. Canadian Journal of Behavioural Science, 21, 353–363. doi: 10.1037/h0079842.CrossRefGoogle Scholar
  81. Patock-Peckham, J. A., & Morgan-Lopez, A. A. (2009). The gender specific mediational pathways between parenting styles, neuroticism, pathological reasons for drinking, and alcohol-related problems in emerging adulthood. Addictive Behaviors, 34, 312–315. doi: 10.1016/j.addbeh.2008.10.017.CrossRefGoogle Scholar
  82. Philpot, V. D., & Bamburg, J. W. (1996). Rehearsal of positive self-statements and restructured negative self-statements to increase self esteem and decrease depression. Psychological Reports, 79, 83–91. http://www.ncbi.nlm.nih.gov.
  83. Preacher, K. J., & Hayes, A. F. (2004). SPSS and SAS procedures for estimating indirect effects in simple mediation models. Behavior Research Methods, Instruments, and Computers, 36, 717–731. Retrieved from http://www.people.ku.edu/~preacher/pubs/preacher_hayes_2004.pdf.
  84. Preacher, K. J., & Hayes, A. F. (2008). Asymptotic and resampling strategies for assessing and comparing indirect effects in multiple mediator models. Behavior Research Methods, 40, 879–891. doi: 10.3758/BRM.40.3.879.CrossRefGoogle Scholar
  85. Pressman, S. D., & Cohen, S. (2005). Does positive affect influence health? Psychological Bulletin, 131, 925–971. doi: 10.1037/0033-2909.131.6.925.CrossRefGoogle Scholar
  86. Riskind, J. H., Sarampote, C. S., & Mercier, M. A. (1996). For every malady a sovereign cure: Optimism training. Journal of Cognitive Psychotherapy, 10, 105–117.Google Scholar
  87. Roesch, S. C., Vaughn, A. A., Aldridge, A. A., & Villodas, F. (2009). Daily diaries and minority adolescents: Random coefficient regression modeling of attributional style, coping, and affect. International Journal of Psychology, 44(5), 393–400. doi: 10.1080/00207590802644758.CrossRefGoogle Scholar
  88. Ruiz, V. M. (2008). Personality, cognitive coping strategies, and adaptational outcomes in a sample from the general Spanish population. Psychological Reports, 103, 57–62. doi: 10.2466/PR0.103.5.57-62.Google Scholar
  89. Rush, C. C., Becker, S. J., & Curry, J. F. (2009). Personality factors and styles among college students who binge eat and drink. Psychology of Addictive Behaviors, 23, 140–145. doi: 10.1037/a0013167.CrossRefGoogle Scholar
  90. Russell, D. W., Kahn, J. H., Spoth, R., & Altmaier, E. M. (1998). Analyzing data from experimental studies: A latent variable structural equation modeling approach. Journal of Counseling Psychology, 45, 18–29. doi: 10.1037/0022-0167.45.1.18.CrossRefGoogle Scholar
  91. Schwartz, R. M., & Michelson, L. (1987). States-of-mind model: Cognitive balance in the treatment of agoraphobia. Journal of Consulting and Clinical Psychology, 55, 557–565. doi: 10.1037/0022-006X.55.4.557.CrossRefGoogle Scholar
  92. Segerstrom, S., & Sephton, S. (2010). Optimistic expectancies and cell-mediated immunity: The role of positive affect. Psychological Science, 21, 448–455. doi: 10.1177/0956797610362061.CrossRefGoogle Scholar
  93. Shiraishi, S. (2005). Cognitive therapy for reducing and preventing depressive moods: A practical study with undergraduates. Japanese Journal of Educational Psychology, 53, 252–262. Abstract retrieved from PsycINFO database.Google Scholar
  94. Shrout, P. E., & Bolger, N. (2002). Mediation in experimental and nonexperimental studies: New procedures and recommendations. Psychological Methods, 7, 422–445. doi: 10.1037/1082-989X.7.4.422.CrossRefGoogle Scholar
  95. Sjöholm, L., Lavebratt, C., & Forsell, Y. (2009). A multifactorial developmental model for the etiology of major depression in a population-based sample. Journal of Affective Disorders, 113(1–2), 66–76. doi: 10.1016/j.jad.2008.04.028.CrossRefGoogle Scholar
  96. Steel, P., Schmidt, J., & Shultz, J. (2008). Refining the relationship between personality and subjective well-being. Psychological Bulletin, 134, 138–161. doi: 10.1037/0033-2909.134.1.138.CrossRefGoogle Scholar
  97. Stiles, T. C., & Götestam, G. K. (1989). The role of automatic negative thoughts in the development of dysphoric mood: An analogue experiment. Cognitive Therapy and Research, 13, 161–170. doi: 10.1007/BF01173270.CrossRefGoogle Scholar
  98. Terracciano, A., Löckenhoff, C., Zonderman, A., Ferrucci, L., & Costa, P. (2008). Personality predictors of longevity: Activity, emotional stability, and conscientiousness. Psychosomatic Medicine, 70, 621–627. doi: 10.1097/PSY.0b013e31817b9371.CrossRefGoogle Scholar
  99. Tugade, M. M., & Fredrickson, B. L. (2004). Resilient individuals use positive emotions to bounce back from negative emotional experiences. Journal of Personality and Social Psychology, 86, 320–333. doi: 10.1037/0022-3514.86.2.320.CrossRefGoogle Scholar
  100. Tugade, M. M., Fredrickson, B. L., & Barrett, L. F. (2004). Psychological resilience and positive emotional granularity: Examining the benefits of positive emotions on coping and health. Journal of Personality. Special Issue: Emotions, Personality, and Health, 72, 1161–1190. doi: 10.1111/j.1467-6494.2004.00294.x.Google Scholar
  101. Tyssen, R., Hem, E., Gude, T., Grønvold, N. T., Ekeberg, Ø., & Vaglum, P. (2009). Lower life satisfaction in physicians compared with a general population sample: A 10-year longitudinal, nationwide study of course and predictors. Social Psychiatry and Psychiatric Epidemiology, 44, 47–54. doi: 10.1007/s00127-008-0403-4.CrossRefGoogle Scholar
  102. Wade, T. D., Treloar, S., & Martin, N. G. (2008). Shared and unique risk factors between lifetime purging and objective binge eating: A twin study. Psychological Medicine, 38, 1455–1464. doi: 10.1017/S0033291708002791.CrossRefGoogle Scholar
  103. Wallace, J. F., & Newman, J. P. (1997). Neuroticism and attentional mediation of dysregulatory psychopathology. Cognitive Therapy and Research, 21, 135–156.CrossRefGoogle Scholar
  104. Watson, D. (2000). Mood and temperament. New York: Guilford Press.Google Scholar
  105. Watson, D., Clark, L. A., & Tellegen, A. (1988). Development and validation of brief measures of positive and negative affect: The PANAS Scales. Journal of Personality and Social Psychology, 54, 1063–1070. doi: 10.1037/0022-3514.54.6.1063.CrossRefGoogle Scholar
  106. Weston, R., & Gore, P. A., Jr. (2006). A brief guide to structural equation modeling. The Counseling Psychologist, 34, 719–751. doi: 10.1177/0011000006286345.CrossRefGoogle Scholar
  107. Wheaton, B., Muthen, B., Alwin, D. F., & Summers, G. (1977). Assessing reliability and stability in panel models. Sociological Methodology, 8, 84–136. doi: 10.2307/270754.CrossRefGoogle Scholar
  108. Yu, C. (2002). Evaluating cutoff criteria of model fit indices for latent variable models with binary and continuous outcomes. Unpublished doctoral dissertation, University of California, Los Angeles. Retrieved from http://statmodel2.com/download/Yudissertation.pdf.
  109. Zuckerman, M. (1960). The development of an affect adjective checklist for the measurement of anxiety. Journal of Consulting Psychology, 24, 457–462. doi: 10.1037/h0042713.CrossRefGoogle Scholar
  110. Zuckerman, M. (1983). The distinction between trait and state scales is not arbitrary: Comment on Allen and Potkay’s ‘on the arbitrary distinction between traits and states’. Journal of Personality and Social Psychology, 44, 1083–1086. doi: 10.1037/0022-3514.44.5.1083.CrossRefGoogle Scholar

Copyright information

© Springer Science+Business Media B.V. 2012

Authors and Affiliations

  • Owen Richard LightseyJr.
    • 1
    Email author
  • George Gharibian Gharghani
    • 1
  • Aron Matthew Katz
    • 1
  • Valerie Ann McKinney
    • 1
  • Eli Benjamin Rarey
    • 1
  1. 1.Department of Counseling, Educational Psychology and ResearchThe University of MemphisMemphisUSA

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