Short-term and long-term within-person variability in performance: An integrative model

Journal of Applied Psychology

Volumn 99, Issue 5, 2014, Pages 898-914

  Minbashian, Amirali ^a   Luppino, Daniella ^b  

^a UNIVERSITY OF NEW SOUTH WALES   (Australia)

^b UNIVERSITY OF NEW SOUTH WALES   (Australia)

Author keywords

Dynamic performance; Resource allocation; Task complexity; Time; Within person variability

Indexed keywords

ADULT; ATHLETIC PERFORMANCE; HUMAN; MALE; PSYCHOLOGICAL MODEL; TASK PERFORMANCE; TENNIS; TIME; YOUNG ADULT;

ADULT; ATHLETIC PERFORMANCE; HUMANS; MALE; MODELS, PSYCHOLOGICAL; TASK PERFORMANCE AND ANALYSIS; TENNIS; TIME FACTORS; YOUNG ADULT;

EID: 84925841682     PISSN: 00219010     EISSN: None     Source Type: Journal    
DOI: 10.1037/a0037402     Document Type: Article

References (77)

1. Ackerman, P. L. (1987). Individual differences in skill learning: An integration of psychometric and information processing perspectives. Psychological Bulletin, 102, 3-27. doi:10.1037/0033-2909.102.1.3
2. Ackerman, P. L. (1988). Determinants of individual differences during skill acquisition: Cognitive abilities and information processing. Journal of Experimental Psychology: General, 117, 288-318. doi:10.1037/0096- 3445.117.3.288
3. Aiken, L. S., & West, S. G. (1991). Multiple regression: Testing and interpreting interactions. Newbury Park, CA: Sage.
4. Austin, J. T., Humphreys, L. G., & Hulin, C. L. (1989). Another view of dynamic criteria: A critical reanalysis of Barrett, Caldwell, and Alexander. Personnel Psychology, 42, 583-596. doi:10.1111/j.1744-6570.1989.tb00670.x
5. Bakker, A. B., & Bal, P. M. (2010). Weekly work engagement and performance: A study among starting teachers. Journal of Occupational and Organizational Psychology, 83, 189-206. doi:10.1348/ 096317909X402596
6. Barnes, C. M., Reb, J., & Ang, D. (2012). More than just the mean: Moving to a dynamic view of performance-based compensation. Journal of Applied Psychology, 97, 711-718. doi:10.1037/a0026927
7. Barrett, G. V., Caldwell, M. S., & Alexander, R. A. (1985). The concept of dynamic criteria: A critical reanalysis. Personnel Psychology, 38, 41-56. doi:10.1111/j.1744-6570.1985.tb00540.x
8. Bass, B. M. (1962). Further evidence on the dynamic character of criteria. Personnel Psychology, 15, 93-97. doi:10.1111/j.1744-6570.1962.tb01850.x
9. Beal, D. J., Weiss, H. M., Barros, E., & MacDermid, S. M. (2005). An episodic process model of affective influences on performance. Journal of Applied Psychology, 90, 1054-1068. doi:10.1037/0021-9010.90.6.1054
10. Binnewies, C., Sonnentag, S., & Mojza, E. J. (2009). Daily performance at work: Feeling recovered in the morning as a predictor of day-level job performance. Journal of Organizational Behavior, 30, 67-93. doi: 10.1002/job.541
11. Bonner, S. E., Hastie, R., Sprinkle, G. B., & Young, S. M. (2000). A review of the effects of financial incentives on performance in laboratory tasks: Implications for management accounting. Journal of Management Accounting Research, 12, 19-64. doi:10.2308/jmar.2000.12.1.19
12. Boswell, W. R., Boudreau, J. W., & Tichy, J. (2005). The relationship between employee job change and job satisfaction: The honeymoon- hangover effect. Journal of Applied Psychology, 90, 882-892. doi: 10.1037/0021-9010.90.5.882
13. Braun, M. T., Kuljanin, G., & DeShon, R. P. (2013). Spurious results in the analysis of longitudinal data in organizational research. Organizational Research Methods, 16, 302-330. doi:10.1177/1094428112469668
14. Campbell, D. J. (1988). Task complexity: A review and analysis. Academy of Management Review, 13, 40-52. doi:10.5465/AMR.1988.4306775
15. Cervone, D. (2005). Personality architecture: Within-person structures and processes. Annual Review of Psychology, 56, 423-452. doi:10.1146/ annurev.psych.56.091103.070133
16. Deadrick, D. L., Bennett, N., & Russell, C. J. (1997). Using hierarchical linear modeling to examine dynamic performance criteria over time. Journal of Management, 23, 745-757. doi:10.1177/014920639 702300603
17. Deadrick, D. L., & Madigan, R. M. (1990). Dynamic criteria revisited: A longitudinal study of performance stability and predictive validity. Personnel Psychology, 43, 717-744. doi:10.1111/j.1744-6570.1990.tb00680.x
18. del Corral, J., & Prieto-Rodríguez, J. (2010). Are differences in ranks good predictors for Grand Slam tennis matches? International Journal of Forecasting, 26, 551-563. doi:10.1016/j.ijforecast.2009.12.006
19. del Villar, F., Gonzalez, L. G., Iglesias, D., Moreno, M. P., & Cervello, E. M. (2007). Expert-novice differences in cognitive and execution skills during tennis competition. Perceptual and Motor Skills, 104, 355-365. doi:10.2466/pms.104.2.355-365
20. Depue, R. A. (2009). Genetic, environmental, and epigenetic factors in the development of personality disturbance. Development and Psychopathology, 21, 1031-1063. doi:10.1017/S0954579409990034
21. Ericsson, K. A., Krampe, R. T., & Tesch-Römer, C. (1993). The role of deliberate practice in the acquisition of expert performance. Psychological Review, 100, 363-406. doi:10.1037/0033-295X.100.3.363
22. Fisher, C. D. (2008). What if we took within-person performance variation seriously? Industrial and Organizational Psychology, 1, 185-189. doi: 10.1111/j.1754-9434.2008.00036.x
23. Fisher, C. D., & Noble, C. S. (2004). A within-person examination of correlates of performance and emotions while working. Human Performance, 17, 145-168. doi:10.1207/s15327043hup1702_2
24. Ghiselli, E. E., & Haire, M. (1960). The validation of selection tests in the light of the dynamic character of criteria. Personnel Psychology, 13, 225-231. doi:10.1111/j.1744-6570.1960.tb01352.x
25. Giniger, S., Dispenzieri, A., & Eisenberg, J. (1983). Age, experience, and performance on speed and skill jobs in an applied setting. Journal of Applied Psychology, 68, 469-475. doi:10.1037/0021-9010.68.3.469
26. Heath, C., Larrick, R. P., & Wu, G. (1999). Goals as reference points. Cognitive Psychology, 38, 79-109. doi:10.1006/cogp.1998.0708
27. Henry, R. A., & Hulin, C. L. (1987). Stability of skilled performance across time: Some generalizations and limitations on utilities. Journal of Applied Psychology, 72, 457-462. doi:10.1037/0021-9010.72.3.457
28. Higgins, E. T. (1997). Beyond pleasure and pain. American Psychologist, 52, 1280-1300. doi:10.1037/0003-066X.52.12.1280
29. Hofmann, D. A., Jacobs, R., & Barratta, J. E. (1993). Dynamic criteria and the measurement of change. Journal of Applied Psychology, 78, 194- 204. doi:10.1037/0021-9010.78.2.194
30. Hofmann, D. A., Jacobs, R., & Gerras, S. J. (1992). Mapping individual performance over time. Journal of Applied Psychology, 77, 185-195. doi:10.1037/0021-9010.77.2.185
31. Horn, J. L. (1991). Measurement of intellectual capabilities: A review of theory. In K. S. McGrew, J. K. Werder, & R. W. Woodcock (Eds.), WJ-R technical manual (pp. 197-232). Allen, TX: DLM.
32. Hulin, C. L., Henry, R. A., & Noon, S. L. (1990). Adding a dimension: Time as a factor in the generalizability of predictive relationships. Psychological Bulletin, 107, 328-340. doi:10.1037/0033-2909.107.3.328
33. Hunter, J. E., & Schmidt, F. L. (2004). Methods of meta-analysis: Correcting error and bias in research findings (2nd ed.). Thousand Oaks, CA: Sage.
34. Kahneman, D., & Tversky, A. (1979). Prospect theory: An analysis of decision under risk. Econometrica, 47, 263-291. doi:10.2307/1914185
35. Kahneman, D., & Tversky, A. (1984). Choices, values, and frames. American Psychologist, 39, 341-350. doi:10.1037/0003-066X.39.4.341
36. Kanfer, R. (1987). Task-specific motivation: An integrative approach to issues of measurement, mechanisms, processes, and determinants. Journal of Social and Clinical Psychology, 5, 237-264. doi:10.1521/jscp.1987.5.2.237
37. Kanfer, R., & Ackerman, P. L. (1989). Motivation and cognitive abilities: An integrative/aptitude-treatment interaction approach to skill acquisition. Journal of Applied Psychology, 74, 657-690. doi:10.1037/0021- 9010.74.4.657
38. Keil, C. T., & Cortina, J. M. (2001). Degradation of validity over time: A test and extension of Ackerman's model. Psychological Bulletin, 127, 673-697. doi:10.1037/0033-2909.127.5.673
39. Kluger, A. N., & DeNisi, A. (1996). The effects of feedback interventions on performance: A historical review, a meta-analysis, and a preliminary feedback intervention theory. Psychological Bulletin, 119, 254-284. doi:10.1037/0033-2909.119.2.254
40. Kuljanin, G., Braun, M. T., & DeShon, R. P. (2011). A cautionary note on modeling growth trends in longitudinal data. Psychological Methods, 16, 249-264. doi:10.1037/a0023348
41. Linville, P. W., & Clark, L. F. (1989). Can production systems cope with coping? Social Cognition, 7, 195-236. doi:10.1521/soco.1989.7.2.195
42. Mangos, P. M., & Steele-Johnson, D. (2001). The role of subjective task complexity in goal orientation, self-efficacy, and performance relations. Human Performance, 14, 169 -185. doi:10.1207/S15327043 HUP1402_03
43. Maynard, D. C., & Hakel, M. D. (1997). Effects of objective and subjective task complexity on performance. Human Performance, 10, 303-330. doi:10.1207/s15327043hup1004_1
44. McGrath, J. E. (1982). Dilemmatics: The study of research choices and dilemmas. In J. E. McGrath, J. Martin, & R. A. Kulka (Eds.), Judgment calls in research (pp. 69-102). Beverly Hills, CA: Sage.
45. McPherson, S. L., & Kernodle, M. (2007). Mapping two new points on the tennis expertise continuum: Tactical skills of adult advanced beginners and entry-level professionals during competition. Journal of Sports Sciences, 25, 945-959. doi:10.1080/02640410600908035
46. Merriman, K. K., & Deckop, J. R. (2007). Loss aversion and variable pay: A motivational perspective. International Journal of Human Resource Management, 18, 1026-1041. doi:10.1080/09585190701321591
47. Minbashian, A., Earl, J., & Bright, J. E. H. (2013). Openness to experience as a predictor of job performance trajectories. Applied Psychology, 62, 1-12. doi:10.1111/j.1464-0597.2012.00490.x
48. Minbashian, A., Wood, R. E., & Beckmann, N. (2010). Task-contingent conscientiousness as a unit of personality at work. Journal of Applied Psychology, 95, 793-806. doi:10.1037/a0020016
49. Mischel, W., & Shoda, Y. (1995). A cognitive-affective system theory of personality: Reconceptualizing situations, dispositions, dynamics, and invariance in personality structure. Psychological Review, 102, 246-268. doi:10.1037/0033-295X.102.2.246
50. Murphy, K. R. (1989). Is the relationship between cognitive ability and job performance stable over time?. Human Performance, 2, 183-200. doi: 10.1207/s15327043hup0203_3
51. Navon, D., & Gopher, D. (1979). On the economy of the human-processing system. Psychological Review, 86, 214-255. doi:10.1037/0033-295X.86.3.214
52. Netessine, S., & Yakubovich, V. (2012). The Darwinian workplace. Harvard Business Review, 90, 25-28.
53. Norman, D. A., & Bobrow, D. G. (1975). On data-limited and resourcelimited processes. Cognitive Psychology, 7, 44-64. doi:10.1016/0010- 0285(75)90004-3
54. Ployhart, R. E., & Hakel, M. D. (1998). The substantive nature of performance variability: Predicting interindividual differences in intraindividual performance. Personnel Psychology, 51, 859-901. doi:10.1111/ j.1744-6570.1998.tb00744.x
55. Quiñones, M. A., Ford, J. K., & Teachout, M. S. (1995). The relationship between work experience and job performance: A conceptual and metaanalytic review. Personnel Psychology, 48, 887-910. doi:10.1111/j.1744-6570.1995.tb01785.x
56. Raudenbush, S. W., & Bryk, A. S. (2002). Hierarchical linear models: Applications and data analysis methods (2nd ed.). Newbury Park, CA: Sage.
57. Reb, J., & Cropanzano, R. (2007). Evaluating dynamic performance: The influence of salient Gestalt characteristics on performance ratings. Journal of Applied Psychology, 92, 490-499. doi:10.1037/0021-9010.92.2.490
58. Rowe, R., Horswill, M. S., Kronvall-Parkinson, M., Poulter, D. R., & McKenna, F. P. (2009). The effect of disguise on novice and expert tennis players' anticipation ability. Journal of Applied Sport Psychology, 21, 178-185. doi:10.1080/10413200902785811
59. Rowe, R. M., & McKenna, F. P. (2001). Skilled anticipation in real-world tasks: Measurement of attentional demands in the domain of tennis. Journal of Experimental Psychology: Applied, 7, 60-67. doi:10.1037/ 1076-898X.7.1.60
60. Schmidt, F. L., Le, H., & Ilies, R. (2003). Beyond alpha: An empirical examination of the effects of different sources of measurement error on reliability estimates for measures of individual-differences constructs. Psychological Methods, 8, 206-224. doi:10.1037/1082-989X.8.2.206
61. Schneider, W., & Chein, J. M. (2003). Controlled & automatic processing: Behavior, theory, and biological mechanisms. Cognitive Science, 27, 525-559. doi:10.1016/S0364-0213(03)00011-9
62. Schneider, W., Dumais, S. T., & Shiffrin, R. M. (1984). Automatic and control processing and attention. In R. Parasuraman & D. R. Davies (Eds.), Varieties of attention (pp. 1-27). New York, NY: Academic Press.
63. Schneider, W., & Shiffrin, R. M. (1977). Controlled and automatic human information processing: I. Detection, search, and attention. Psychological Review, 84, 1-66. doi:10.1037/0033-295X.84.1.1
64. Shoda, Y., & Mischel, W. (2006). Applying meta-theory to achieve generalisability and precision in personality science. Applied Psychology, 55, 439-452. doi:10.1111/j.1464-0597.2006.00264.x
65. Sonnentag, S., & Frese, M. (2012). Dynamic performance. In S. W. J. Kozlowski (Ed.), Handbook of industrial and organizational psychology (pp. 548-575). New York, NY: Oxford University Press.
66. Sternberg, R. J., Forsythe, G. B., Hedlund, J., Horvath, J. A., Wagner, R. K., Williams, W. M. Grigorenko, E. (2000). Practical intelligence in everyday life. Cambridge, England: Cambridge University Press.
67. Stewart, G. L., & Nandkeolyar, A. K. (2006). Adaptation and intraindividual variation in sales outcomes: Exploring the interactive effects of personality and environmental opportunity. Personnel Psychology, 59, 307-332. doi:10.1111/j.1744-6570.2006.00016.x
68. Stewart, G. L., & Nandkeolyar, A. K. (2007). Exploring how constrains created by other people influence intraindividual variation in objective performance measures. Journal of Applied Psychology, 92, 1149-1158. doi:10.1037/0021-9010.92.4.1149
69. Sturman, M. C. (2003). Searching for the inverted U-shaped relationship between time and performance: Meta-analyses of the experience/ performance, tenure/performance, and age/performance relationships. Journal of Management, 29, 609-640. doi:10.1016/S0149- 2063_03_00028-X
70. Sturman, M. C. (2007). The past, present, and future of dynamic performance research. Research in Personnel and Human Resources Management, 26, 49-110. doi:10.1016/S0742-7301(07)26002-5
71. Sturman, M. C., Cheramie, R. A., & Cashen, L. H. (2005). The impact of job complexity and performance measurement on the temporal consistency, stability, and test-retest reliability of employee job performance ratings. Journal of Applied Psychology, 90, 269-283. doi:10.1037/0021- 9010.90.2.269
72. Thoresen, C. J., Bradley, J. C., Bliese, P. D., & Thoresen, J. D. (2004). The Big Five personality traits and individual job performance growth trajectories in maintenance and transitional job stages. Journal of Applied Psychology, 89, 835-853. doi:10.1037/0021-9010.89.5.835
73. Vroom, V. (1964). Work and motivation. New York, NY: Wiley.
74. Wood, R. E. (1986). Task complexity: Definition of the construct. Organizational Behavior and Human Decision Processes, 37, 60-82. doi: 10.1016/0749-5978(86)90044-0
75. Wood, R. E., George-Falvy, J., & Debowski, S. (2001). Motivation and information search on complex tasks. In M. Erez & U. Kleinbeck (Eds.), Work motivation in the context of a globalizing economy (pp. 27-48). Hillsdale, NJ: Erlbaum.
76. Wood, R. E., Mento, A. J., & Locke, E. A. (1987). Task complexity as a moderator of goal effects: A meta-analysis. Journal of Applied Psychology, 72, 416-425. doi:10.1037/0021-9010.72.3.416
77. Zickar, M. J., & Slaughter, J. E. (1999). Examining creative performance over time using hierarchical linear modeling: An illustration using film directors. Human Performance, 12, 211-230. doi:10.1080/ 08959289909539870