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I–O Psychology and Progressive Research Programs on Intelligence

Published online by Cambridge University Press:  07 January 2015

Jonas W. B. Lang  and
Paul D. Bliese
Jonas W. B. Lang*
Affiliation:
Maastricht University
Paul D. Bliese
Affiliation:
Rockville, Maryland
*
E-mail: jonas.lang@maastrichtuniversity.nl, Address: Department of Work and Social Psychology, Maastricht University, P.O. Box 616, 6200 MD Maastricht, The Netherlands.
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Type
Commentaries
Information
Industrial and Organizational Psychology , Volume 5 , Issue 2 , June 2012 , pp. 161 - 166
Copyright
Copyright © Society for Industrial and Organizational Psychology 2012 

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References

Ackerman, P. L., Beier, M. E., & Boyle, M. O. (2005). Working memory and intelligence: The same or different constructs. Psychological Bulletin, 131, 30–60. doi: 10.1037/0033-2909.131.1.30.Google Scholar
Bartholomew, D. J., Deary, I. J., & Martin, L. (2009). A new lease for Thomson's bonds model of intelligence. Psychological Review, 116, 567–579. doi: 10.1037/a0016262.Google Scholar
Beauducel, A., & Kersting, M. (2002). Fluid and crystallized intelligence and the Berlin Model of Intelligence Structure (BIS). European Journal of Psychological Assessment, 18, 97–112. doi: 10.1027/ 1015-5759.18.2.97.Google Scholar
Beilock, S. L., & Carr, T. H. (2005). When high-powered people fail: Working memory and “choking” under pressure in math. Psychological Science, 16, 101–105. doi: 10.1111/j.0956-7976. 2005.00789.x.Google Scholar
Beilock, S. L., & DeCaro, M. S. (2007). From poor performance to success under stress: Working memory, strategy selection, and mathematical problem solving under pressure. Journal of Experimental Psychology: Learning, Memory, and Cognition, 33, 983–998. doi: 10.1037/0278-7393.33.6.983.Google Scholar
Bliese, P. D., Chan, D., & Ployhart, R. (2007). Multilevel methods and statistics: Emerging issues and future directions. Organizational Research Methods, 10, 551–563. doi: 10.1177/10944281073 01102.Google Scholar
Brody, N. (2003). Construct validation of the Sternberg Triarchic Abilities Test: Comment and reanalysis. Intelligence, 31, 319–329. doi: 10.1016/S0160-2896(01)00087-3.Google Scholar
Carroll, J. B. (1993). Human cognitive abilities: A survey of factor-analytic studies. Cambridge, UK: Cambridge University Press. Google Scholar
Deary, I. J. (2002). g and cognitive elements of information processing: An agnostic view. In Sternberg, R. J. & Grigorenko, E. L. (Eds.), The general factor of intelligence (pp. 151–182). Mahwah, NJ: Erlbaum. Google Scholar
Dickens, W. T. (2007, November 19). What is g? Paper presented at the second Thomas S. Schelling Symposium, University of Maryland, College Park, MD. Retrieved from http://www.publicpolicy.umd.edu/symposium/speakers.htm.Google Scholar
Duncan, J., Seitz, R. J., Kolodny, J., Bor, D., Herzog, H., Ahmed, A., Emslie, H. (2000). A neural basis for general intelligence. Science, 289, 457–460. doi: 10.1126/science.289.5478.457.Google Scholar
Gustafsson, J.-E., & Balke, G. (1993). General and specific abilities as predictors of school achievement. Multivariate Behavioral Research, 28, 407–434. doi: 10.1207/s15327906mbr2804_2.Google Scholar
Holzinger, K. J., & Swineford, F. (1937). The bi-factor method. Psychometrika, 2, 41–54. doi: 10.1007/ BF02287965.Google Scholar
Humphreys, L. G. (1981). The primary mental ability. In Friedman, M. P., Das, J. R., & O’Connor, N. (Eds.), Intelligence and learning (pp. 87–102). New York, NY: Plenum. Google Scholar
Johnson, J. W. (2000). A heuristic method for estimating the relative weight of predictor variables in multiple regression. Multivariate Behavioral Research, 35, 1–9. doi: 10.1207/S15327906MBR3501_1.Google Scholar
Johnson, J. W., & LeBreton, J. M. (2004). History and use of relative importance indices in organizational research. Organizational Research Methods, 7, 238–257. doi: 10.1177/1094428104266510.Google Scholar
Johnson, W. & Bouchard, T. J. Jr. (2005). The structure of human intelligence: It is verbal, perceptual, and image rotation (VPR), not fluid and crystallized. Intelligence, 33, 393–416. doi: 10.1016/ j.intell.2004.12.002.Google Scholar
Kane, M. J., & Engle, R. W. (2000). Working memory capacity, proactive interference, and divided attention: Limits on long-term memory retrieval. Journal of Experimental Psychology: Learning, Memory, and Cognition, 26, 333–358. doi: 10.10371/ 0278-7393.26.2.336.Google Scholar
Kane, M. J., & Engle, R. 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. doi: 10.3758/ BF03196323.Google Scholar
Kane, M. J., Hambrick, D. Z., & Conway, A. R. A. (2005). Working memory capacity and fluid intelligence are strongly related constructs: Comment on Ackerman, Beier, and Boyle (2005). Psychological Bulletin, 131, 66–71. doi: 10.1037/0033-2909. 131.1.66.Google Scholar
Lang, J. W. B., & Bliese, P. D. (2009). General mental ability and two types of adaptation to unforeseen change: Applying discontinuous growth models to the task-change paradigm. Journal of Applied Psychology, 94, 411–428. doi: 10.1037/a0013803.Google Scholar
Lang, J. W. B., Kersting, M., Hülsheger, U. R., & Lang, J. (2010). General mental ability, narrower cognitive abilities, and job performance: The perspective of the nested-factors model of cognitive abilities. Personnel Psychology, 63, 595–640. doi: 10.1111/j.1744-6570.2010.01182.x.Google Scholar
LePine, J. A., Colquitt, J. A., & Erez, A. (2000). Adaptability of changing task contexts: Effects of general cognitive ability, conscientiousness, and openness to experience. Personnel Psychology, 53, 563–593. doi:10.1111/j.1744-6570.2000.tb 00214.x.Google Scholar
van der Maas, H. L. J., Dolan, C. V., Grasman, R. P. P. P., Wicherts, J. M., Huizenga, H. M., & Raijmakers, M. E. J. (2006). A dynamical model of general intelligence: The positive manifold of intelligence by mutualism. Psychological Bulletin, 113, 842–861. doi: 10.1037/0033-295X.113.4.842.Google Scholar
McHenry, J. J., Hough, L. M., Toquam, J. L., Hanson, M. A., & Ashworth, S. (1990). Project A validity results: The relationship between predictor and criterion domains. Personnel Psychology, 43, 335–354. doi:10.111/j.1744-6570.1990. tb01562.x.Google Scholar
Oberauer, K., Schulze, R., Wilhelm, O., & Süß, H.-M. (2005). Working memory and intelligence—Their correlation and their relation: Comment on Ackerman, Beier, and Boyle (2005). Psychological Bulletin, 131, 61–65. doi: 10.1037/0033-2909. 131.1.61.Google Scholar
Ree, M. J., Earles, J. A., & Teachout, M. S. (1994). Predicting job performance: Not much more than g . Journal of Applied Psychology, 79, 518–524. doi: 10.1037/0021-9010.79.4.518.Google Scholar
Ricks, T. R., Turley-Ames, K. J., & Wiley, J. (2007). Effects of working memory capacity on mental set due to domain knowledge. Memory & Cognition, 35, 1456–1462. doi: 10.3758/BF03193615.Google Scholar
Scherbaum, C. A., Goldstein, H. W., Yusko, K. P., Ryan, R., & Hanges, P. J. (2012). Intelligence 2.0: Reestablishing a research program on g in I–O psychology. Industrial and Organizational Psychology: Perspectives on Science and Practice, 5, 128–148.Google Scholar
Singer, J. D., & Willett, J. B. (2003). Applied longitudinal data analysis: Modeling change and event occurrence. New York, NY: Oxford University Press. Google Scholar
Spearman, C. (1904). “General intelligence,” objectively determined and measured. American Journal of Psychology, 15, 201–292. doi: 10.2307/ 1412107.Google Scholar
Thurstone, L. L. (1938). Primary mental abilities. Chicago, IL: University of Chicago Press. Google Scholar
Visser, B. A., Ashton, M. C., & Vernon, P. A. (2006). Beyond g: Putting multiple intelligences theory to the test. Intelligence, 34, 487–502. doi:10.1016/j. intell.2006.02.004.Google Scholar
Yung, Y.-F., Thissen, D., & McLeod, L. D. (1999). On the relationship between the higher-order factor model and the hierarchical factor model. Psychometrika, 64, 113–128. doi:10.1007/ BF02294531.Google Scholar