Alfassi, M. (2003). Promoting the will and skill of students at academic risk: An evaluation of an instructional design geared to foster achievement, self-efficacy and motivation. Journal of Instructional Psychology, 30, 28–41.
Bandura, A. (1977). Self-efficacy: Toward a unifying theory of behavioural change. Psychological Reviews, 84, 191–215.
Bandura, A. (1989). Regulation of cognitive processes through perceived self-efficacy. Developmental Psychology, 25, 729–735.
Bandura, A. (1993). Perceived self-efficacy in cognitive development and functioning. Educational Psychologist, 28, 117–148.
Bandura, A., & Wood, R. (1989). Effect of perceived controllability and performance standards on self-regulation of complex decision making. Journal of Personality and Social Psychology, 56, 805–814.
Beaumont, J.L., Havlik, R., Cook, K.F., Hays, R.D., Wallner-Allen, K., … Gershon, R. (2013). Norming plans for the NIH Toolbox. Neurology, 80, S87–S92.
Bouffard-Bouchard, T., Parent, S., & Larivee, S. (1991). Influence of self-efficacy on self-regulation and performance among junior and senior high-school age students. International Journal of Behavioral Development, 14, 153–164.
Catalano, R.F., Berglund, L., Ryan, J.A.M., Lonczak, H.S., & Hawkins, J.D. (2004). Positive youth development in the United States: Research findings on evaluations of positive youth development programs. The Annals of the American Academy of Political and Social Science, 591, 98–121.
Cera, R., Mancini, M., & Antonietti, A. (2013). Relationships between metacognition, self-efficacy and self-regulation in learning. Educational, Cultural, and Psychological Studies, 7, 115–141.
Frankenhaeuser, M. (1983). The sympathetic-adrenal and pituitary-adrenal response to challenge: Comparison between the sexes. In T.M. Dembroks, T.H. Schmidt, & G. Blumchen (Eds.), Biobehavioral bases of coronary heart disease (pp. 91–103). Basel, Switzerland: Karger.
Gershon, R.C., Wagster, M.V., Hendrie, H.C., Fox, N.A., Cook, K.F., & Nowinski, C.J. (2013). NIH Toolbox for assessment of neurological and behavioral function. Neurology, 80, S2–S6.
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.
Lachman, M.E., & Firth, K.M. (2004). The adaptive value of feeling in control during midlife. In O.G. Brim, Jr., C.D. Ryff & R.C. Kessler (Eds.), Handbook of the psychology of aging (7th ed., pp. 75–190). New York: Elsevier.
Lachman, M.E., & Weaver, S.L. (1998). The sense of control as a moderator of social class differences in health and well-being. Journal of Personality and Social Psychology, 74, 763–773.
Leganger, A., & Kraft, P. (2003). Control constructs: Do they mediate the relation between educational attainment and health behaviour?
Journal of Health Psychology, 8, 361–372.
Levy, B. (1996). Improving memory in old age through implicit self-stereotyping. Journal of Personality and Social Psychology, 71, 1092–1107.
Lupien, S. (1994). Basal cortisol levels and cognitive deficits in human aging. Journal of Neuroscience, 14, 2893–2903.
Manly, J.J., Byrd, D.A., Touradji, P., & Stern, Y. (2004). Acculturation, reading level, and neuropsychological test performance among African American elders. Applied Neuropsychology, 11, 37–46.
Manly, J.J., Jacobs, D.M., Touradji, P., Small, S.A., & Stern, Y. (2002). Reading level attenuates differences in neuropsychological test performance between African American and White elders. Journal of the International Neuropsychological Society, 8, 341–348.
Manly, J.J., Smith, C., Crystal, H.A., Richardson, J., Golub, E.T., Greenblatt, R., … Young, M. (2011). Relationship of ethnicity, age, education, and reading level to speed and executive function among HIV+ and HIV- women: The Women’s Interagency HIV Study (WIHS) Neurocognitive Substudy. Journal of Clinical and Experimental Neuropsychology, 33, 853–863.
Marmot, M., Bosma, H., Hemingway, H., Brunner, E., & Standsfeld, S. (1997). Contribution of job control and other risk factors to social variations in coronary heart disease incidence. Lancet, 350, 235–239.
Salsman, J.M., Butt, Z., Pilkonis, P.A., Cyranowski, J.M., Zill, N., … Cella, D. (2013). Emotion assessment using the NIH Toolbox. Neurology, 80, S76–S86.
Seeman, T.E., Lusignolo, T.M., Albert, M., & Berkman, L. (2001). Social relationships, social support, and patterns of cognitive aging in healthy, high-functioning older adults: MacArthur Studies of Successful Aging. Health Psychology, 20, 243–255.
Seeman, T.E., McAvay, G., Merrill, S., Albert, M., & Rodin, J. (1996). Self-efficacy beliefs and change in cognitive performance: MacArthur Studies of Successful Aging. Psychology and Aging, 11, 538–551.
Turiano, N.A., Chapman, B.P., Agrigoroaei, S., Infurna, F.J., & Lachman, M. (2014). Perceived control reduces mortality risk at low, not high, education levels. Health Psychology, 33, 883–890.
Weintraub, S., Dikmen, S.S., Heaton, R.K., Tulsky, D.S., Zelazo, P.D., … Gershon, R.C. (2013). Cognition assessment using the NIH Toolbox. Neurology, 80, S54–S64.
Wight, R.G., Aneshensel, C.S., Seeman, M., & Seeman, T.E. (2003). Late life cognition among men: A life course perspective on psychosocial experience. Archives of Gerontology and Geriatrics, 37, 173–193.
Windsor, T.D., & Anstey, K.J. (2008). A longitudinal investigation of perceived control and cognitive performance in young, midlife and older adults. Neuropsychology, Development, and Cognition. Section B, Aging, Neuropsychology and Cognition, 15, 744–763.
Yaffe, K., Vittinghoff, E., Pletcher, M.J., Hoang, T.D., Launer, L.J., Whitmer, R., … Sidney, S. (2014). Early adult to midlife cardiovascular risk factors and cognitive function. Circulation, 129, 1560–1567.
Zahodne, L.B., Glymour, M.M., Sparks, C., Bontempo, D., Dixon, R.A., MacDonald, S.W.S., & Manly, J.J. (2011). Education does not slow cognitive decline with aging: 12-year evidence from the Victoria Longitudinal Study. Journal of the International Neuropsychological Society, 17, 1039–1046.
Zahodne, L.B., Nowinski, C.J., Gershon, R.C., & Manly, J.J. (2014). Which psychosocial factors best predict cognitive performance in older adults?
Journal of the International Neuropsychological Society, 20, 487–495.