Acemoglu, D., and Pischke, J. 1999. Beyond Becker: Training in imperfect labour markets. The Economic Journal 109(453): F112–F142.Google Scholar

Ackerman, P. L. 1988. Determinants of individual differences during skill acquisition: Cognitive abilities and information processing. Journal of Experimental Psychology: General 117: 288–318.CrossRefGoogle Scholar

Ackerman, P. L. 1996. A theory of adult intellectual development: Process, personality, interests, and knowledge. Intelligence 22: 227–257.Google Scholar

Ackerman, P. L., and Beier, M. E. 2003. Trait complexes, cognitive investment, and domain knowledge. In Robert Sternberg and Elena Grigorenko, eds., The Psychology of Abilities, Competencies, and Expertise, 1–30. New York: Cambridge University Press.Google Scholar

Ackerman, P. L., and Beier, M. E. 2004. Knowledge and intelligence. In Oliver Wilhelm, ed., Handbook of Understanding and Measuring Intelligence, 125–139. Thousand Oaks: Sage.Google Scholar

Ackerman, P. L., and Beier, M. E. 2006. Determinants of domain knowledge and independent study learning in an adult sample. Journal of Educational Psychology 98: 366–381.Google Scholar

Ackerman, P. L., Beier, M. E., and Boyle, M O. 2005. Working memory and intelligence: The same or different constructs? Psychological Bulletin 131: 30–60.CrossRefGoogle ScholarPubMed

Anderson, J. R. 1982. Acquisition of cognitive skill. Psychological Review 89: 369–406.Google Scholar

Arrow, H., McGrath, J. E. and Berdahl, J. L. 2000. Small Groups as Complex Systems: Formation, Coordination, Development, and Adaption. Thousand Oaks: Sage.Google Scholar

Arthur, W. Jr., Villado, A. J., and Bennett, W. Jr. 2012. Innovations in team task analysis: Identifying task elements, tasks, and jobs that are team-based. In Alliger, G., Bennett, W. Jr., Gibson, S., and Wilson, M., eds., The Handbook of Work Analysis in Organizations: The Methods, Systems, Applications, and Science of Work Measurement and Organizations, 641–661. New York: Routledge/Psychology Press.Google Scholar

Barnett, S. M., and Ceci, S. J. 2002. When and where do we apply what we learn? A taxonomy for far transfer. Psychological Bulletin 128: 612–637.Google Scholar

Beier, M. E., and Ackerman, P. L. 2001. Current-events knowledge in adults: An investigation of age, intelligence, and nonability determinants. Psychology and Aging 16: 615–628.Google Scholar

Beier, M. E., and Ackerman, P. L. 2003. Determinants of health knowledge: An investigation of age, gender, abilities, personality, and interests. Journal of Personality and Social Psychology 84: 439–448.CrossRefGoogle ScholarPubMed

Beier, M. E., and Ackerman, P. L. 2005. Age, ability, and the role of prior knowledge on the acquisition of new domain knowledge: Promising results in a real-world learning environment. Psychology and Aging 20: 341–355.Google Scholar

Beier, M. E., and Oswald, F. L. 2012. Is cognitive ability a liability? A critique and future research agenda on skilled performance. Journal of Experimental Psychology: Applied 18: 331–345.Google Scholar

Beier, M. E., Rixner, S., and Warren, J. 2016. Predicting performance and attrition in a Massive Open Online Course. Manuscript in preparation.Google Scholar

Beilock, S. L., Bertenthal, B. I., Hoerger, M. M., and Carr, T. H. 2008. When does haste make waste? Speed-accuracy tradeoff, skill level, and the tools of the trade. Journal of Experimental Psychology: Applied 14: 340–352.Google Scholar

Bell, S. T. 2007. Deep-level composition variables as predictors of team performance: A meta-analysis. Journal of Applied Psychology 92: 595–615.Google Scholar

Bertua, C., Anderson, N. and Salgado, J. F. 2005. The predictive validity of cognitive ability tests: A UK meta-analysis. Journal of Occupational and Organizational Psychology 78: 387–409.Google Scholar

Brown, K. G., Le, H., and Schmidt, F. L. 2006. Specific aptitude theory revisited: Is there incremental validity for training performance? International Journal of Selection and Assessment 14: 87–100.Google Scholar

Campbell, J. P., and Kuncel, N. R. 2001. Individual and team training. In D. H. Ones, N. Anderson, C. Viswesvaran, and H. K. Sinangil, eds., Handbook of Industrial, Work and Organizational Psychology, 278–312. London: Sage.Google Scholar

Carroll, J. B. 1993. Human Cognitive Abilities: A Survey of Factor-Analytic Studies. New York: Cambridge University Press.Google Scholar

Carter, M. and Beier, M. E. 2010. The effectiveness of error management training with working-aged adults. Personnel Psychology 63: 641–675.Google Scholar

Cascio, W. F. 2014. Leveraging employer branding, performance management and human resource development to enhance employee retention. Human Resource Development International 17: 121–128.Google Scholar

Cattell, R. B. 1987. Intelligence: Its Structure, Growth, and Action. New York: Elsevier.Google Scholar

Cronbach, L. J. 1957. The two disciplines of scientific psychology. American Psychologist 12: 671–684.Google Scholar

Crook, A. E., and Beier, M. E. 2010. When training with a partner is inferior to training alone: The importance of dyad type and interaction quality. Journal of Experimental Psychology: Applied 16: 335–348.Google Scholar

Day, E. A., Arthur, W. Jr., Miyashiro, B., Edwards, B. D., Tubré, T. C., and Tubré, A. H. 2004. Criterion-related validity of statistical operationalizations of group general cognitive ability as a function of task type: Comparing the mean, maximum, and minimum. Journal of Applied Social Psychology 34: 1521–1549.Google Scholar

Day, E. A., Arthur, W. Jr., Bell, S. T., Edwards, B. D., Bennett, W. Jr., Mendoza, J. L., and Tubré, T. C. 2005. Ability-based pairing strategies in the team-based training of a complex skill: Does the cognitive ability of your training partner matter? Intelligence 33: 39–65.Google Scholar

Engle, R. W., and Kane, M. J. 2004. Executive attention, working memory capacity, and a two-factor theory of cognitive control. In B. Ross, ed., The Psychology of Learning and Motivation, 145–199. New York: Academic Press.Google Scholar

Glickman, Albert S., Zimmer, Seth R., Montero, Craig, Guerette, Paula J., Campbell, Wanda J., Morgan, Ben B. Jr., and Salas, Eduardo. 1987. The Evolution of Team Skills: An Empirical Assessment with Implications for Training. Tech Report Number 87-016. Arlington: Office of Naval Research.Google Scholar

Guilford, J. P. 1967. The Nature of Human Intelligence. New York: McGraw Hill.Google Scholar

Gully, S. M., and Chen, Gilad. 2010. Individual Differences, Attribute-Treatment Interactions, and Training Outcomes. In S. W. J. Kozlowski and E. Salas, eds., Learning, Training, and Development in Organizations, 3–64. New York: Taylor Francis.Google Scholar

Gully, S. M., Payne, Stephanie C., Koles, Lee Kiechel K., and Whiteman, Jon-Andrew K.. 2002. The impact of error training and individual differences on training outcomes: An attribute-treatment interaction perspective. Journal of Applied Psychology 87: 143–155.Google Scholar

Hertzog, C., Kramer, Arthur F., Wilson, Robert S., and Lindenberger, Ulman. 2008. Enrichment effects on adult cognitive development: Can the functional capacity of older adults be preserved and enhanced? Psychological Science in the Public Interest 9: 1–65.Google Scholar

Horn, J. L., and Cattell, Raymond B.. 1966. Refinement and test of the theory of fluid and crystallized general intelligences. Journal of Educational Psychology 57: 253–270.Google Scholar

Hunter, J. E. 1986. Cognitive ability, cognitive aptitude, job knowledge, and job performance. Journal of Vocational Behavior 29: 340–362.Google Scholar

Hunter, J. E., and Hunter, Ronda F.. 1984. Validity and utility of alternative predictors of job performance. Psychological Bulletin 96: 72–98.Google Scholar

Jha, A. P., Stanley, Elizabeth A., Kiyonaga, Anastasia, Wong, Ling, and Gelfand, Lois. 2010. Examining the protective effects of mindfulness training on working memory capacity and affective experience. Emotion 10: 54–64.Google Scholar

Johnson, W., and Bouchard, Thomas J., Jr. 2005. The structure of human intelligence: It is verbal, perceptual, and image rotation (VPR), not fluid and crystallized. Intelligence 33: 393–416.Google Scholar

Kahneman, D. 1973. Attention and Effort. Englewood Cliffs: Prentice-Hall.Google Scholar

Kane, M. J., Conway, Andrew R. A., Hambrick, David Z., and Engle, Randall W.. 2007. Variation in working memory capacity as variation in executive attention and control. In A. R. A. Conway, C. Jarrold, M. J. Kane, A. Miyake, and J. N. Towse, eds., Variation in Working Memory, 21–48. New York: Oxford University Press.Google Scholar

Kane, M. J., and Engle, Randall W.. 2002. The role of prefrontal cortex in working-memory capacity, executive attention, and general fluid intelligence: An individual-differences perspective. Psychonomic Bulletin & Review 9: 637–671.CrossRefGoogle ScholarPubMed

Kanfer, R., and Ackerman, P. L. 1989. Motivation and cognitive abilities: An integrative/aptitude-treatment interaction approach to skill acquisition. Journal of Applied Psychology 74: 657–690.Google Scholar

Kanfer, R., and Ackerman, P. L. 1996. A self-regulatory skills perspective to reducing cognitive interference. In I. G. Sarason, G. R. Pierce, and B. R. Sarason, eds., Cognitive Interference: Theories, Methods, and Findings. The LEA Series in Personality and Clinical Psychology, 153–171. Hillsdale, NJ, England: Lawrence Erlbaum Associates Inc.Google Scholar

Kraiger, K., Ford, J. K., and Salas, E. 1993. Application of cognitive, skill-based, and affective theories of learning outcomes to new methods of training evaluation. Journal of Applied Psychology 78: 311–328.Google Scholar

Kuhl, J. 1984. Volitional aspects of achievement motivation and learned helplessness: Toward a comprehensive theory of action control. In B. A. Maher, ed., Progress in Experimental Personality Research, 13: 99–171. New York: Academic Press.Google Scholar

Lubinski, D. 2000. Scientific and social significance of assessing individual differences: Sinking shafts at a few critical points. Annual Review of Psychology 51: 405–444.Google Scholar

Luchins, A. S. 1942. Mechanization in problem solving: The effect of Einstellung. Psychological Monographs 54: i–95.Google Scholar

McGrew, K. S. 2005. The Cattell-Horn-Carroll theory of cognitive abilities: Past, present, and future. In Flanagan, Dawn P., and Patti L. Harrison, eds. Contemporary Intellectual Assessment: Theories, Tests, and Issues, 136–181. New York: Guilford Press.Google Scholar

Morgan, B. B. Jr., Glickman, Albert S., Woodward, Elizabeth A., Blaives, Arthur S., and Salas, Eduardo. 1986. Measurement of team behaviors in a navy environment. Tech Report Number 86-014. Orlando: Naval Training Systems Center.Google Scholar

Motowidlo, S. J., and Beier, Margaret E.. 2010. Differentiating specific job knowledge from implicit trait policies in procedural knowledge measured by a situational judgment test. Journal of Applied Psychology 95: 321–333.CrossRefGoogle ScholarPubMed

Mount, M. K., Oh, In-Sue and Burns, Melanie. 2008. Incremental validity of perceptual speed and accuracy over general mental ability. Personnel Psychology 61: 113–139.Google Scholar

Mrazek, M. D., Franklin, Michael S., Phillips, Dawa T., Baird, Benjamin, and Schooler, Jonathan W.. 2013. Mindfulness training improves working memory capacity and GRE performance while reducing mind wandering. Psychological Science 24: 776–781.Google Scholar

Norman, D. A., and Bobrow, Daniel B.. 1975. On data-limited and resource-limited processes. Cognitive Psychology 7: 44–64.Google Scholar

Rabipour, S., and Raz, A. 2012. Training the brain: Fact and fad in cognitive and behavioral remediation. Brain and Cognition 79: 159–179.Google Scholar

Randall, J. G. 2015. Mind wandering and self-directed learning: Testing the efficacy of self-regulation interventions to reduce mind wandering and enhance online training performance. PhD diss., Rice University, Houston, TX.Google Scholar

Randall, J. G., Oswald, Frederick L., and Beier, Margaret E.. 2014. Mind-wandering, cognition, and performance: A theory driven meta-analysis of attention regulation. Psychological Bulletin 140: 1411–1431.Google Scholar

Ree, M. J., and Earles, James A.. 1991. Predicting training success: Not much more than g. Personnel Psychology 44: 321–332.Google Scholar

Ree, M. J., Earles, James A., and Teachout, Mark S.. 1994. Predicting job performance: not much more than g. Journal of Applied Psychology 79: 518–524.Google Scholar

Reeve, C. L., Scherbaum, Charles, and Goldstein, Harold W.. 2015. Manifestations of intelligence: expanding the measurement space to reconsider specific cognitive abilities. Human Resource Management Review 25: 28–37.Google Scholar

Roberts, R. D., Goff, Ginger N., Anjoul, Fadi, Kyllonen, P.C.., Pallier, Gerry, and Stankov, Lazar. 2000. The armed services vocational aptitude battery (ASVAB): Little more than acculturated (Gc)!? Learning and Individual Differences 12(1): 81–103.Google Scholar

Ryan, A. M., and Ployhart, R. E. 2014. A century of selection. Annual Review of Psychology 65: 693–717.Google Scholar

Salthouse, T. A. 2010. Major Issues in Cognitive Aging. Oxford: Oxford University Press.Google Scholar

Schmidt, F. L., and Hunter, J. E. 1998. The validity and utility of selection methods in personnel psychology: Practical and theoretical implications of 85 years of research findings. Psychological Bulletin 124: 262–274.Google Scholar

Schneider, W. J., Dumais, , and , S. T., Shiffrin, Richard M.. 1984. Automatic and Control Processing and Attention. In R. Parasuraman and D. R. Davies, eds., Varieties of Attention, 1–27. Orlando: Academic Press.Google Scholar

Schneider, W. J., and McGrew, K. S. 2012. The Cattell-Horn-Carroll model of intelligence. In D. P. Flanagan and P. L. Harrison, eds., Contemporary Intellectual Assessment: Theories, Tests, and Issues, 3rd ed., 99–144. New York: Guilford Press.Google Scholar

Schneider, W. J., and Newman, D. A. 2015. Intelligence is multidimensional: Theoretical review and implications of specific cognitive abilities. Human Resource Management Review 25: 12–27.Google Scholar

Shadish, W. R., Cook, Thomas D., and Campbell, Donald T.. 2001. Experimental and Quasi-Experimental Designs for Generalized Causal Inference, 2nd ed. Boston, MA: Cengage Learning.Google Scholar

Shipstead, Z., Redick, Thomas S. and Engle, Randall W.. 2012. Is working memory training effective? Psychological Bulletin 138: 628–654.Google Scholar

Sitzmann, T., and Ely, K. 2011. A meta-analysis of self-regulated learning in work-related training and educational attainment: What we know and where we need to go. Psychological Bulletin 137: 441–442.Google Scholar

Sitzmann, T., Brown, Kenneth G., Casper, Wendy J., Ely, Katherine, and Zimmerman, Ryan D.. 2008. A review and meta-analysis of the nomological network of trainee reactions. Journal of Applied Psychology 93: 280–295.Google Scholar

Smith, E. M., Ford, J. K., and Kozlowski, S. W. J. 1997. Building adaptive expertise: Implications for training design strategies. In M. A. Quiñones and A. Ehrenstein, eds., Training for a Rapidly Changing Workplace: Applications of Psychological Research, 89–118. Washington DC: American Psychological Association.Google Scholar

Snow, R. E. 1989. Aptitude-treatment interaction as a framework for research on individual differences in learning. In Phillip L. Ackerman, Robert J. Sternberg, and Robert Glaser, eds., Learning and Individual Differences: Advances in Theory and Research. A Series of Books in Psychology, 13–59. New York: Freeman/Times Books.Google Scholar

Spearman, C. 1904. General intelligence objectively determined and measured. American Journal of Psychology 15: 201–293.CrossRefGoogle Scholar

Stevens, M. J., and Campion, M. A. 1994. The knowledge, skill and ability requirements for teamwork: Implications for human resource management. Journal of Management 25: 207–228.Google Scholar

Stevens, M. J., and Campion, M. A. 1999. Staffing work teams: Development and validation of a selection test for teamwork settings. Journal of Management 25: 207–228.Google Scholar

Thurstone, L. L. 1938. Primary Mental Abilities. Chicago: University of Chicago Press.Google Scholar

Toossi, M. 2013. Labor force projections to 2022: The labor force participation rate continues to fall. Monthly Labor Review. http://www.bls.gov/opub/mlr/2013/article/labor-force-projections-to-2022-the-labor-force-participation-rate-continues-to-fall.htm (accessed March 2, 2015).Google Scholar

Vernon, P. E. 1971. The Structure of Human Abilities, 2nd ed. London: Methuen.Google Scholar

Wickens, C. D. 1984. Processing resources in attention. In P. Raja and D.R. Davies, eds., Varieties of Attention, 63–102. New York: Academic Press.Google Scholar

Wittmann, W. W., and Süß, H. 1999. Investigating the paths between working memory, intelligence, knowledge, and complex problem-solving performances via Brunswik Symmetry. In P. L. Ackerman, P. C. Kyllonen, and R. D. Roberts, eds., Learning and Individual Differences: Process, Trait, and Content Determinants, 77–108. Washington DC: American Psychological Association.Google Scholar

Wonderlic, 2002. Wonderlic Personnel Test & Scholastic Level Exam User’s Manual. Vernon Hills: Wonderlic, Inc.Google Scholar

Ajzen, I. 1991. The theory of planned behavior. Organizational Behavior and Human Decision Processes 50: 179–211.Google Scholar

Bandura, A. 1986. Social Foundations of Thought and Action: A Social Cognitive Theory. Englewood Cliffs, NJ: Prentice Hall.Google Scholar

Bandura, A. 1991. Social cognitive theory of self-regulation.” Organizational Behavior and Human Decision Processes 50: 248–287.Google Scholar

Bandura, A. 1997. Self-efficacy: The Exercise of Control. New York: Freeman.Google Scholar

Bandura, A., and Cervone, D. 1983. Self-evaluative and self-efficacy mechanisms governing the motivational effects of goal systems. Journal of Personality and Social Psychology 45: 1017–1028>.Google Scholar

Bandura, A., and Cervone, D. 1986. Differential engagement of self-reactive influences in cognitive motivation. Organizational Behavior and Human Decision Processes 38: 92–113.Google Scholar

Bell, B. S., and Kozlowski, S. W. J. 2002. Goal orientation and ability: Interactive effects on self-efficacy, performance, and knowledge. Journal of Applied Psychology 87: 497–505.Google Scholar

Bell, B. S., and Kozlowski, S. W. J. 2008. Active learning: Effects of core training design elements on self-regulatory processes, learning, and adaptability. Journal of Applied Psychology 93: 296–316.Google Scholar

Boekaerts, M., Pintrich, P. R., and Zeidner, M., eds., 2000. Handbook of Self-Regulation. San Diego, CA: Academic Press.Google Scholar

Brown, K. G. 2001. Using computers to deliver training: Which employees learn and why? Personnel Psychology 54: 271–296.Google Scholar

Brown, K. G., and Charlier, S. D. 2013. An integrative model of e-learning use: Leveraging theory to understand and increase usage. Human Resource Management Review 23: 37–49.Google Scholar

Brown, K. G., Charlier, S. D., and Pierotti, A. 2012. E-learning in work organizations: Contributions of past research and suggestions for the future. In Hodgkinson, G. P. and Ford, J. K., eds. International Review of Industrial and Organizational Psychology, 27, 89–114. Chichester, UK: John Wiley and Sons.Google Scholar

Butler, D. L., and Winne, P. H. 1995. Feedback and self-regulated learning: A theoretical synthesis. Review of Educational Research 65: 245–281.Google Scholar

Campion, M. A., and Lord, R. G. 1982. A control systems conceptualization of the goal setting and changing process. Organizational Behavior and Human Performance 30: 265–287.Google Scholar

Carver, C. S., and Scheier, M. F. 1998. On the Self-Regulation of Behavior. New York: Cambridge University Press.Google Scholar

Chen, G., and Mathieu, J. E. 2008. Goal orientation dispositions and performance trajectories: The roles of supplementary and complementary situational inducements. Organizational Behavior and Human Decision Processes 106: 21–38.Google Scholar

Colquitt, J. A., Lepine, J. A., and Noe, R. A. 2000. Toward an integrative theory of training motivation: A meta-analytic path analysis of 20 years of research. Journal of Applied Psychology 85: 676–707.Google Scholar

Diefendorff, J. M., and Chandler, M. M. 2011. Motivating employees. In Zedeck, S., ed., Handbook of Industrial and Organizational Psychology, 65–135. Washington, DC: American Psychological Association.Google Scholar

Donovan, J. J., and Hafsteinsson, L. G. 2006. The impact of goal-performance discrepancies, self-efficacy and goal orientation on upward goal revision. Journal of Applied Social Psychology 36: 1046–1099.Google Scholar

Donovan, J. J., and Williams, K. J. 2003. Missing the mark: Effects of time and causal attributions on goal revision in response to goal-performance discrepancies. Journal of Applied Psychology 88: 379–390.Google Scholar

Donovan, J. J., Bateman, T., and Heggestad, E. D. 2013. Individual differences in work motivation: Current directions and future needs. In Christiansen, N. and Tett, R. P., eds., Handbook of Personality at Work, 101–128. New York: Psychology Press/Routledge.Google Scholar

Donovan, J. J., Dwight, S. A., and Schneider, D. 2004. Goal revision processes in an organizational context. Manuscript presented at the 19th Annual Conference of the Society for Industrial and Organizational Psychology. Chicago, April.Google Scholar

Donovan, J. J., Lorenzet, S. J., Dwight, S. A., and Schneider, D. 2008. Self-regulation in training: The effects of goal-performance discrepancies on subsequent goals and effort. Paper presented at the 23rd Annual Conference of the Society for Industrial and Organizational Psychology. San Francisco.Google Scholar

Dweck, C. S. 1989. Motivation. In Lesgold, A. and Glaser, R., eds., Foundations for a Psychology of Education, 87–136. Hillsdale, NJ: Erlbaum.Google Scholar

Elicker, J. D., Lord, R. G., Ash, S. R., Kohari, N. E., Hruska, B. J., McConnell, N. L., and Medvedeff, M. E. 2009. Velocity as a predictor of performance satisfaction, mental focus, and goal revision. Applied Psychology: An International Review 59: 495–514.Google Scholar

Erez, M. 1977. Feedback: A necessary condition for goal setting/performance relationship. Journal of Applied Psychology 62: 624–627.Google Scholar

Erez, M., Gopher, D., and Arzi, N. 1990. Effects of goal difficulty, self-set goals, and monetary rewards on dual task performance. Organizational Behavior and Human Decision Processes 47: 247–269.Google Scholar

Fishbein, M., and Azjen, I. 1975. Belief, Attitude, Intention, and Behavior: An Introduction to Theory and Research. Reading, MA: Addison-Wesley.Google Scholar

Frese, M., Brodbeck, F., Heinbokel, T., Mooser, C., Schleiffenbaum, E., andThiemann, P. 1991. Errors in training computer skills: On the positive function of errors. Human–Computer Interaction 6: 77–93.Google Scholar

Gist, M. E., Stevens, C. K., and Bavetta, A. G. 1991. Effects of self-efficacy and post-training intervention on the acquisition and maintenance of complex interpersonal skills. Personnel Psychology 44: 837–861.Google Scholar

Heggestad, E. D., and Kanfer, R. 2000. Individual differences in trait motivation: Development of the motivational trait questionnaire. International Journal of Educational Research 33: 751–777.Google Scholar

Hofmann, D. H., Jacobs, R., and Gerras, S. J. 1992. Mapping individual performance over time. Journal of Applied Psychology 77: 185–195.Google Scholar

Kanfer, R., and Ackerman, P. L. 1989. Motivation and cognitive abilities: An integrative aptitude/treatment interaction approach to skill acquisition. Journal of Applied Psychology 74: 657–690.Google Scholar

Karl, K. A., O’Leary-Kelly, A. M., and Martocchio, J. J. 1993. The impact of feedback and self-efficacy on performance in training. Journal of Organizational Behavior 14: 379–394.Google Scholar

Karoly, P. 1993. Mechanisms of self-regulation: A systems view. Annual Review of Psychology 44: 23–52.Google Scholar

Kim, K., Oh, I., Chiaburu, D. S., and Brown, K. G. 2012. Does positive perception of oneself boost learning motivation and performance? International Journal of Selection and Assessment 20: 257–271.Google Scholar

Kluger, A. N., and 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.Google Scholar

Kozlowski, S. W., Gully, S. M., Brown, K. G., Salas, E., Smith, E. M., and Nason, E. R. 2001. Effects of training goals and goal orientation traits on multidimensional training outcomes and performance adaptability. Organizational Behavior and Human Decision Processes 85: 1–31.Google Scholar

Kraiger, K., and Jerden, E. 2007. A meta-analytic investigation of learner control: Old findings and new directions. In Fiore, S. M., and Salas, E., eds., Toward a Science of Distributed Learning, 65–90. Washington, DC: American Psychological Association.Google Scholar

Locke, E. A., and Latham, G. P. 1990. A Theory of Goal Setting and Task Performance. Englewood Cliffs, NJ: Prentice-Hall.Google Scholar

Locke, E. A., and Latham, G. P. 2002. Building a practically useful theory of goal setting and task motivation: A 35-year odyssey. American Psychologist 57: 705–717.Google Scholar

Lord, R. G., Diefendorff, J. M., Schmidt, A. M., and Hall, R. J. 2010. Self-regulation at work. Annual Review of Psychology 61: 543–568.Google Scholar

McGonigal, J. 2011. Reality Is Broken: Why Games Make Us Better and How They Can Change the World. New York: Penguin Press.Google Scholar

Mikulincer, M. 1994. Human Learned Helplessness: A Coping Perspective. New York: Plenum Press.Google Scholar

Payne, S. C., Youngcourt, S. S., and Beaubien, J. M. 2007. A meta-analytic examination of the goal orientation nomological net. Journal of Applied Psychology 92: 128–150.Google Scholar

Phillips, J. M., and Gully, S. M. 1997. Role of goal orientation, ability, need for achievement, and locus of control in the self-efficacy and goal setting process. Journal of Applied Psychology 82: 792–802.Google Scholar

Pintrich, P. R. 2000. The role of goal orientation in self-regulated learning. In Boekaerts, M., Pintrich, P. R., and Zeidner, M., eds., Handbook of Self-Regulation, 451–502. San Diego, CA: Academic.Google Scholar

Rynes, S. L. 2012. The research-practice gap in I/O Psychology and related fields: Challenges and potential solutions. In Kozlowski, S. W. J., ed., The Oxford Handbook of Organizational Psychology, 409–452. New York: Oxford University Press.Google Scholar

Schmidt, A. M., and DeShon, R. P. 2007. What to do? The effects of discrepancies, incentives, and time on dynamic goal prioritization. Journal of Applied Psychology 92: 928–941.Google Scholar

Schmidt, A. M., and Ford, J. K. 2003. Learning within a learner control training environment: The interactive effects of goal orientation and metacognitive instruction on learning outcomes. Personnel Psychology 56: 405–429.Google Scholar

Schunk, D. H. 1990. Goal setting and self-efficacy during self-regulated learning. Educational Psychologist 25: 71–86.Google Scholar

Schunk, D. H, and Zimmerman, B. J., eds., 1994. Self-Regulation of Learning and Performance: Issues and Educational Applications. Hillsdale, NJ: Lawrence Erlbaum Associates.Google Scholar

Sitzmann, T. 2012. A theoretical model and analysis of the role of self-regulation in the attrition process. Learning and Individual Differences 22: 46–54.Google Scholar

Sitzmann, T., and Ely, K. 2011. A meta-analysis of self-regulated learning in work-related training and educational attainment: What we know and where we need to go. Psychological Bulletin 137: 421–442.Google Scholar

Sitzmann, T., and Johnson, S. K. 2012. When is ignorance bliss? The effects of inaccurate self-assessments of knowledge on learning and attrition. Organizational Behavior and Human Decision Processes 117: 192–207.Google Scholar

Sitzmann, T., Bell, B. S., Kraiger, K., and Kanar, A. M. 2009. A multilevel analysis of the effect of prompting self-regulation in technology-delivered instruction. Personnel Psychology 62: 697–734.Google Scholar

Stajkovic, A. D., and Luthans, F. 1998. Self-efficacy and work related performance: A meta-analysis. Psychological Bulletin 124: 240–261.Google Scholar

Steele-Johnson, D., Beauregard, R. S., Hoover, P. B., and Schmidt, A. M. 2000. Goal orientation and task demand effects on motivation, affect, and performance. Journal of Applied Psychology 85: 724–738.Google Scholar

Thoresen, C. J., Bradley, J. C., Bliese, P. D., and 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.Google Scholar

Vancouver, J. B., and Kendall, L. N. 2006. When self-efficacy negatively relates to motivation and performance in a learning context. Journal of Applied Psychology 91: 1146–1153.Google Scholar

VandeWalle, D., Cron, W. L., and Slocum, J. W. 2001.The role of goal orientation following performance feedback. Journal of Applied Psychology 86: 629–640.Google Scholar

Williams, K. J., Donovan, J. J., and Dodge, T. L. 2000. Self-regulation of performance: Goal establishment and goal revision process in athletes. Human Performance 13: 159–180.Google Scholar

Winters, D., and Latham, G. 1996. The effect of learning versus outcome goals on a simple versus a complex task. Group and Organization Management 21: 236–250.Google Scholar

Yeo, G., Loft, S., Xiao, T., and Kiewitz, C. 2009. Goal orientations and performance: Differential relationships across levels of analysis and as a function of task demands. Journal of Applied Psychology 94: 710–726.Google Scholar

Zimmerman, B. J. 2000. Self-efficacy: An essential motive to learn. Contemporary Educational Psychology 25: 82–91.Google Scholar

Zimmerman, B. J., and Schunk, D. H., eds., 2011. Handbook of Self-Regulation of Learning and Performance. New York: Routledge.Google Scholar

Allport, G. W. 1979. The Nature of Prejudice. Cambridge, MA: Perseus Books.Google Scholar

Aronson, E., Wilson, T. D., and Akert, R. M. 2010. Interpersonal attraction: From first impressions to close relationships. Social Psychology 286–321.Google Scholar

Aronson, J., and Inzlicht, M. 2004. The ups and downs of attributional ambiguity: Stereotype vulnerability and the academic self-knowledge of African American college students. Psychological Science 15: 829–836.Google Scholar

Avery, D. R., McKay, P. F., and Wilson, D. C. 2007. Engaging the aging workforce: The relationship between perceived age similarity, satisfaction with coworkers, and employee engagement. Journal of Applied Psychology 92: 1542–1556.Google Scholar

Barnett, R. C., and Hyde, J. S. 2001. Women, men, work, and family: An expansionist Theory. American Psychologist 56: 781–796.Google Scholar

Bezrukova, Y., Spell, C. S., Perry, J. L., and Jehn, K. A. 2014 . A meta-analytical integration of over 40 years of research on diversity training evaluation. In Academy of Management Proceedings 14813. Briarcliff, NY: Academy of Management.Google Scholar

Biernat, M., and Vescio, T. K. 2002. She swings, she hits, she’s great, she’s benched: Shifting judgment standards and behavior. Personality and Social Psychology Bulletin 28: 66–76.Google Scholar

Brett, J. F., and VandeWalle, D. 1999. Goal orientation and goal content as predictors of performance in a training program. Journal of Applied Psychology 84(6): 863–873.Google Scholar

Caprariello, P. A., Cuddy, A. J. C., and Fiske, S.T. 2009. Social structure shapes cultural stereotypes and emotions: A causal test of the stereotype content model. Group Processes and Intergroup Relations 12: 147–155.Google Scholar

Carlson, J. H. and Seacat, J. D. 2014. Multiple threat: Overweight/obese women in the workplace. Industrial and Organizational Psychology 7: 482–487.Google Scholar

Colquitt, J. A., LePine, J. A., and Noe, R. N. 2000. Toward an integrative theory of training motivation: A meta-analytic path analysis of 20 years of research. Journal of Applied Psychology 85: 678–707.Google Scholar

Correll, S. J., Benard, S., and Paik, I. 2007. Getting a job: Is there a motherhood penalty? American Journal of Sociology 112: 1297–1339.Google Scholar

Crandall, C., and Biernat, M. 1990. The ideology of anti-fat attitudes. Journal of Applied Social Psychology 20: 227–243.Google Scholar

Crocker, J., Cornwell, B., and Major, B. 1993. The stigma of overweight: Affective consequences of attributional ambiguity. Journal of Personality and Social Psychology 64: 60–70.Google Scholar

Cuddy, A. J. C., Fiske, S. T., and Glick, P. 2004. When professionals become mothers, warmth doesn’t cut the ice. Journal of Social Issues 60: 701–718.Google Scholar

Cuddy, A. J. C., Fiske, S. T., and Glick, P. 2007. The BIAS Map: Behaviors from intergroup affect and stereotypes. Journal of Personality and Social Psychology 92: 631–648.Google Scholar

Cuddy, A. J. C., Norton, M. I., and Fiske, S. T. 2005. This old stereotype: The stubbornness and pervasiveness of the elderly stereotype. Journal of Social Issues 61: 265–283.Google Scholar

Dweck, C. S. 1986. Motivational processes affecting learning. American Psychologist 41: 1040–1048.Google Scholar

Eckes, T. 2002. Paternalistic and envious gender stereotypes: Testing predictions from the stereotype content model. Sex Roles 47: 99–114.Google Scholar

Ellison, C. G. 1991. Religious involvement and subjective well-being. Journal of Health and Social Behavior 32: 80–99.Google Scholar

Else-Quest, N. M., Hyde, J. S., and Linn, M. C. 2010. Cross-national patterns of gender differences in mathematics: A meta-analysis. Psychological Bulletin 136: 103–127.Google Scholar

Finkelstein, L., Ryan, K., and King, E. B. 2013. What do the young (old people think of me? Content and accuracy of age-based metastereotypes. European Journal of Work and Organizational Psychology 22: 633–657.Google Scholar

Fiske, S. T., and Neuberg, S. L. 1990. A continuum model of impression formation, from category-based to individuating processes: Influence of information and motivation on attention and interpretation. In Zanna, M. P., ed., Advances in Experimental Social Psychology 23: 1–74. New York: Academic Press.Google Scholar

Fiske, S. T., Cuddy, A. J. C., Glick, P., and Xu, J. 2002. A model of (often mixed) stereotype content: Competence and warmth respectively follow from perceived status and competition. Journal of Applied Psychology 82: 878–902.Google Scholar

Glick, P., and Fiske, S. T. 1996. The ambivalent sexism inventory: Differentiating hostile and benevolent sexism. Journal of Personality and Social Psychology 70: 491−512.Google Scholar

Gray-Little, B., and Hafdahl, A. R., 2000. Factors influencing racial comparisons of self-esteem: A quantitative synthesis. Psychological Bulletin 126: 26–54.Google Scholar

Greenhaus, J. H., and Powell, G. N. 2006. When work and family are allies: A theory of work-family enrichment. Academy of Management Review 31: 72–92.Google Scholar

Guillaume, Y. R. F., Dawson, J. F., Woods, S. A., Sacramento, C. A., and West, M. A. 2013. Getting diversity at work to work: What we know and what we still don’t know. Journal of Occupational and Organizational Psychology 86: 123–141.CrossRefGoogle Scholar

Gully, S. M., and Chen, G. 2010. Individual differences, aptitude-treatment interactions, and learning. In Kozlowski, S. W. J. and Salas, E., eds., Learning, Training, and Development in Organizations, 3–64. New York: Routledge Academic.Google Scholar

Hansen, T., Slagsvold, B., and Moum, T. 2009. Childlessness and psychological well-being in midlife and old age: An examination of parental status effects across a range of outcomes. Social Indicators Research 94(2): 343–362.Google Scholar

Hebl, M. 1997. Nonstigmatized individuals’ reactions to the acknowledgment and valuation of a stigma by physically disabled and overweight individuals. PhD Diss. Baker Library, Dartmouth College.Google Scholar

Hebl, M., Ruggs, E., Singletary, S., and Beal, D. L. 2012. Perceptions of obesity across the lifespan. Obesity [Special Issue] 16: S46–S52.Google Scholar

Hebl, M. R., Foster, J., Mannix, L. M, and Dovido, J. F. 2002. Formal and interpersonal discrimination: A field study of bias toward homosexual applicants. Personality and Social Psychology Bulletin 28: 815–825.Google Scholar

Heilman, M. 1983. Sex bias in work settings: The lack of fit model. Research in Organizational Behavior 5: 269–298.Google Scholar

Heilman, M., Martell, R., and Simon, M. 1988. The vagaries of sex bias: Conditions regulating the underevaluation, equivaluation, and overevaluation of female job applicants. Organizational Behavioral and Human Decision Processes 41: 98–110.Google Scholar

Heilman, M. E. 1984. Information as a deterrent against sex discrimination: The effects of applicant sex and information type on preliminary employment decisions. Organizational Behavior and Human Performance 33(2): 174–186.Google Scholar

Heimbeck, D., Frese, M., Sonnentag, S., and Keith, N. 2003. Integrating errors into the training process: The function of error management instructions and the role of goal orientation. Personnel Psychology 56: 333–361.Google Scholar

Hilton, J. L., and von Hippel, W. 1996. Stereotypes. Annual Review of Psychology 47: 237–271.Google Scholar

Hough, L. M., Oswald, F. L., and Ployhart, R. E. 2001. Determinants, detection and amelioration of adverse impact in personnel selection procedures: Issues, evidence and lessons learned. International Journal of Selection and Assessment 9: 152–194.Google Scholar

Huang, C. 2010. Mean-level change in self-esteem from childhood through adulthood: Meta-analysis of longitudinal studies. Review of General Psychology 14: 251–260.Google Scholar

Hunter, J. E., and Hunter, R. F. 1984. Validity and utility of alternative predictors of job performance. Psychological Bulletin 96: 72–98.Google Scholar

Johns, M., Schmader, T., and Martens, A. 2005. Knowing is half the battle: Teaching stereotype threat as a means of improving women’s math performance. Psychological Science 16: 175–179.Google Scholar

Joshi, A., and Roh, H. 2009. The role of context in work team diversity research: A meta-analytic review. Academy of Management Journal 52: 599–627.Google Scholar

Jussim, L. 1986. Self-fulfilling prophecies: A theoretical and integrative review. Psychology Review 93: 429–445.Google Scholar

Kalinoski, Z. T., Steele-Johnson, D., Peyton, E. J., Leas, K. A., Steinke, J., and Bowling, N. A. 2013. A meta-analytic evaluation of diversity training outcomes. Journal of Organizational Behavior 34: 1076–1104.Google Scholar

Katz, D., and Braly, K. 1933. Racial stereotypes of one hundred college students. Journal of Abnormal and Social Psychology 28: 280–290.Google Scholar

King, E. B. 2008. The effect of bias on career advancement of working mothers: Disentangling legitimate concerns from inaccurate stereotypes as predictors of career success. Human Relations 61: 1677–1711.Google Scholar

King, E. B., Botsford, W., Hebl, M. R., Kazama, S., Dawson, J. F., and Perkins, A. 2012. Benevolent sexism at work: Gender differences in the distribution of challenging developmental experiences. Journal of Management 38(6): 1835–1866.Google Scholar

King, E. B., Hebl, M. R., Botsford Morgan, W., and Ahmad, A. 2013. Experimental field research on sensitive organizational topics. Organizational Research Methods 16: 501–521.Google Scholar

Kling, K. C., Hyde, J. S., Showers, C. J., and Buswell, B. N. 1999. Gender differences in self-esteem: A meta-analysis. Psychological Bulletin 125: 470–500.Google Scholar

Koenig, A. M., and Eagly, A. H. 2005. Stereotype threat in men on a test of social sensitivity. Sex Roles 52(7–8): 489–496.Google Scholar

Konrad, A. M., and Linnehan, F. 1995. Formalized HRM structures: Coordinating equal employment opportunity or concealing organizational practices? Academy of Management Journal 38(3): 787–820.Google Scholar

Kozlowski, S. W. J., Gully, S. M., Brown, K. G., Salas, E., Smith, E. M., and Nason, E. R. 2001. Effects of training goals and goal orientation traits on multidimensional training outcomes and performance adaptability. Organizational Behavior and Human Decision Processes 85: 1–31.Google Scholar

Kraiger, K., Ford, J. K., and Salas, E. 1993. Application of cognitive, skill-based, and affective theories of learning outcomes to new methods of training evaluation. Journal of Applied Psychology 78: 311–328.Google Scholar

Krause, N. 1995. Religiosity and self-esteem among older adults. Journal of Gerontology: Social Sciences 50: 236–246.Google Scholar

Kubeck, J. E., Delp, N. D., Haslett, T. K., and McDaniel, M. A. 1996. Does job-related training performance decline with age? Psychology and Aging 11: 92–107.Google Scholar

Ladge, J., Clair, J. A., and Greenberg, D. 2012. Cross-domain identity transition during liminal periods: Constructing multiple selves as “Professional and Mother” during pregnancy. Academy of Management Journal 55: 1264–1294.Google Scholar

Lamont, R. A., Swift, H. J., and Abrams, D. 2015. A review and meta-analysis of age-based stereotype threat: Negative stereotypes, not facts, do the damage. Psychology of Aging 30: 180–193.Google Scholar

Landy, F. J., Shankster-Cawley, L., and Moran, S. K. 1995. Advancing personnel selection and placement methods. In Howard, A., ed., The Changing Nature of Work, 252–289. San Francisco: Jossey-Bass.Google Scholar

Leslie, L. M., Mayer, D. M., and Kravitz, D. A. 2014. The stigma of affirmative action: A stereotyping-based theory and meta-analytic test. Academy of Management Journal 57: 964–989.Google Scholar

Libermann, S. C., Wegge, J., Jungmann, F., and Schmidt, K. H. 2013. Age diversity and individual team member health: The moderating role of age and age stereotypes. Journal of Occupational and Organizational Psychology 86: 184–202.Google Scholar

Lim, J., and Dinges, D. F. 2010 A quantitative analysis of the impact of short-term sleep deprivation on cognitive variables. Psychological Bulletin 136(3): 375–389.Google Scholar

Livingston, J. D., and Boyd, J. E. 2010. Correlates and consequences of internalized stigma for people living with mental illness: A systematic review and meta-analysis. Social Science and Medicine 71: 2150–2161.Google Scholar

Major, B., Hunger, J. M., Bunyan, D., and Miller, C. T. 2014. The ironic effects of weight stigma. Journal of Experimental Social Psychology 51: 74–80.Google Scholar

Marx, D. M. 2012. Differentiating theories: A comparison of stereotype threat and stereotype priming effects. Stereotype Threat: Theory, Process, and Application 124–140.Google Scholar

McCausland, T. C., King, E. B., Bartholomew, L., Feyre, R., Ahmad, A., and Finkelstein, L. M. 2015. The technological age: The effects of perceived age in technology training. Journal of Business Psychology 1–16.Google Scholar

Meyer, H. D., John, E. P. S., Chankseliani, M., and Uribe, L., eds. 2013. Fairness in Access to Higher Education in a Global Perspective Reconciling Excellence, Efficiency, and Justice. Rotterdam, The Netherlands: Springer Science and Business Media.Google Scholar

Milliken, F. J., and Martins, L. L. 1996. Searching for common threads: Understanding the multiple effects of diversity in organizational groups. Academy of Management Review 21: 402–433.Google Scholar

Ng, T. W. H., and Feldman, D. C. 2008. The relationship of age to ten dimensions of job performance. Journal of Applied Psychology 93: 392–423.Google Scholar

Nguyen, H.-H. D., and Ryan, A. M. 2008. Does stereotype threat affect test performance of minorities and women? A meta-analysis of experimental evidence. Journal of Applied Psychology 93: 1314–1334.Google Scholar

Noe, R. A. 1986. Trainees' attributes and attitudes: Neglected influences on training effectiveness. Academy of Management Review 11(4): 736–749.Google Scholar

Nosek, M. A., Hughes, R. B., Swedlund, N., Taylor, H. B., and Swank, P. 2003. Self-esteem and women with disabilities. Social Science Medicine 56(8): 1737–1747.Google Scholar

Paluck, E. L., and Green, D. P. 2009. Prejudice reduction: What works? A review and assessment of research and practice. Annual Review of Psychology 60: 339–367.Google Scholar

Payne, S. C., Youngcourt, S. S., and Beaubien, J. M. 2007. A meta-analytic examination of the goal orientation nomological net. Journal of Applied Psychology 92: 128–150.Google Scholar

Perry, E. L. 1994. A prototype matching approach to understanding the role of applicant gender and age in the evaluation of job applicants. Journal of Applied Social Psychology 24: 1433–1473.Google Scholar

Pingitore, R., Dugoni, B. L., Tindale, R. S., and Spring, B. 1994. Bias against overweight job applicants in a simulated employment interview. Journal of Applied Psychology 79: 909–917.Google Scholar

Posthuma, R. A., and Campion, M. A. 2009. Age stereotypes: Common stereotypes, moderators, and future research directions. Journal of Management 35: 158–188.Google Scholar

Ridgeway, C. L., and Correll, S. J. 2004. Motherhood as a status characteristic. Journal of Social Issues 60: 683–700.Google Scholar

Roberson, L., and Kulik, C. T. 2007. Stereotype threat at work. Academy of Management Perspectives 21: 24–40.Google Scholar

Rubovits, P., and Maehr, M. 1973. Pygmalion black and white. Journal of Personality and Social Psychology 25: 210–218.Google Scholar

Ryckman, R. M., Robbins, M. A., Kaczor, L. M., and Gold, J. A. 1989. Male and female raters’ stereotyping of male and female physiques. Personality and Social Psychology Bulletin 15(2): 244–251.Google Scholar

Sackett, P. R., Schmitt, N., Ellingson, J. E., and Kabin, M. B. 2001. High-stakes testing in employment, credentialing, and higher education: Prospects in a post-affirmative-action world. American Psychologist 56: 302–318.Google Scholar

Salas, E., and Cannon-Bowers, J. A. 2001. The science of training: A decade of progress. Annual Review of Psychology 52: 471–499.Google Scholar

Salas, E., Tannenbaum, S. I., Kraiger, K., and Smith-Jentsch, K. A. 2012. The science of training and development in organizations: What matters in practice. Psychological Science 13: 74–101.Google Scholar

Schieman, S., Pudrovska, T. and Milkie, M. A. 2005. The sense of divine control and the self-concept: A study of race differences in late life. Research on Aging 27: 165–196.Google Scholar

Seacat, J. D., and Mickelson, K. D. 2009. Stereotype threat and the exercise/dietary health intentions of overweight women. Journal of Health Psychology 14: 556–567.Google Scholar

Shapiro, J., and Neuberg, S. L. 2007. From stereotype threat to stereotypes threats: Implications of multi-threat framework for causes, moderators, mediators, consequences, and interventions. Personality Social Psychology Review 11: 107–130.Google Scholar

Shapiro, J. R., King, E. B., and Quiñones, M. A. 2007. Expectation of obese trainees: How stigmatized trainee characteristics influence training effectiveness. Journal of Applied Psychology 92: 239–249.Google Scholar

Shapiro, J. R., Williams, A. M., and Hambarchyan, M. 2013. Are all interventions created equal? A multi-threat approach to tailoring stereotype threat interventions. Journal of Personality and Social Psychology 104: 277–288.Google Scholar

Shore, L. M., and Goldberg, C. B. 2004. Age discrimination in organizations. In Dipboye, R. L. and Colella, A., eds., Psychological and Organizational Bases of Discrimination at Work. Mahwah, NJ: Lawrence Erlbaum.Google Scholar

Shore, L. M., Chung-Herrera, B. G., Dean, M. A., Ehrhart, K. H., Jung, D. I., Randel, A. E., and Singh, G. 2009. Diversity in organizations: Where are we now and where are we going? Human Resource Management Review 19(2): 117–133.Google Scholar

Silverman, A. M., and Cohen, G. L. 2014. Stereotypes as stumbling-blocks how coping with stereotype threat affects life outcomes for people with physical disabilities. Journal of Personality and Social Psychology 40: 1330–1340.Google Scholar

Snow, R. E. 1989. Aptitude-treatment interaction as a framework for research on individual differences in learning. In Ackerman, P. L., Sternberg, R. J., and Glaser, R., eds., Learning and Individual Differences: Advances in Theory and Research, 13–59. New York: Freeman.Google Scholar

Steele, C. M. 1997. A threat in the air: How stereotypes shape intellectual identity and performance. American Psychologist 52: 613–629.Google Scholar

Steele, C.M., and Aronson, J. 1995. Stereotype threat and the intellectual test performance of African Americans. Journal of Personality and Social Psychology 69: 797–811.Google Scholar

Steele, C. M., Spencer, S. J., and Aronson, J. 2002. Contending with group image: The psychology of stereotype and social identity threat. In Zanna, M., ed., Advances in Experimental Social Psychology, 34: 379–440. New York: Academic Press.Google Scholar

Suhr, J. A., and Gunstad, J. 2002. “Diagnosis threat”: The effect of negative expectations on cognitive performance in head injury. Journal of Clinical and Experimental Neuropsychology 24: 448–457.Google Scholar

Tajfel, H. 1981. Human Groups and Social Categories: Studies in Social Psychology. Bath, England: Cambridge University Press.Google Scholar

Talaska, C. A., Fiske, S. T., and Chaiken, S. 2008. Legitimating racial discrimination: A meta-analysis of the racial attitude-behavior literature shows that emotions, not beliefs, best predict discrimination. Social Justice Research: Social Power in Action 21: 263–296.Google Scholar

Twenge, J. M., and Campbell, W. K. 2001. Age and birth cohort differences in self-esteem: A cross-temporal meta-analysis. Personality and Social Psychology Review 5: 321–344.Google Scholar

Twenge, J. M., and Crocker, J. 2002. Race and self-esteem: Meta-analyses comparing Whites, blacks, Hispanics, Asians, and American Indians and comment on Gray-Little and Hafdahl (2000). Psychological Bulletin 128: 371–408.Google Scholar

Udland, M. 2016. There’s something wrong with the U.S. labor market. Business Insider. http://www.businessinsider.com/labor-market-skills-gap-widening-2016-5 (accessed May 22, 2017).Google Scholar

van Knippenberg, D., and Schippers, M. C. 2007. Work Group Diversity. Annual Review of Psychology 58(1): 515–541.Google Scholar

Wazwaz, N. 2015. It’s official: The US is becoming a minority-majority nation. U.S. News & World Report, July 6.Google Scholar

Wilson, J., and Musick, M. 1996. Religion and marital dependency. Journal for the Scientific Study of Religion 35: 30–40.Google Scholar

Yu, Z. B., Han, S. P., Cao, X. G., and Guo, X. R. 2010. Intelligence in relation to obesity: A systematic review and meta-analysis. Obesity Reviews 11: 656–670.Google Scholar

Zuckerman, M., Silberman, J., and Hall, J. A. 2013. The relation between intelligence and religiosity a meta-analysis and some proposed explanations. Personality and Social Psychology Review 17(4): 325–354.Google Scholar