In this article, I present a theory that explains the origin of sex differences in technical aptitudes. The theory takes as proven that there are no sex differences in general mental ability (GMA), and it postulates that sex differences in technical aptitude (TA) stem from differences in experience in technical areas, which is in turn based on sex differences in technical interests. Using a large data set, I tested and found support for four predictions made by this theory: (a) the construct level correlation between technical aptitude and GMA is larger for females than males, (b) the observed and true score variability of technical aptitude is greater among males than females, (c) at every level of GMA females have lower levels of technical aptitude, and (d) technical aptitude measures used as estimates of GMA for decision purposes would result in underestimation of GMA levels for girls and women. Given that GMA carries the weight of prediction of job performance, the support found for this last prediction suggests that, for many jobs, technical aptitude tests may underpredict the job performance of female applicants and employees. Future research should examine this question.
AckermanP.L. (1996). A theory of adult intellectual development: Process, personality, interests, and knowledge. Intelligence, 22, 227–257.
2.
BetzN.E.FitzgeraldL.F. (1987). The career psychology of women. Orlando, FL: Academic Press.
3.
BetzN.E.SchifanoR.S. (2000). Evaluation of an intervention to increase realistic self-efficacy and interests in college women. Journal of Vocational Behavior, 56, 35–52.
4.
BrodyM.J. (1992). Intelligence (2nd ed.). San Diego, CA: Academic Press.
5.
BrownK.LeH.SchmidtF.L. (2006). Specific aptitude theory revisited: Is there incremental validity for training performance. International Journal of Selection and Assessment, 14, 87–100.
6.
CarrollJ.B. (1993). Human cognitive abilities: A survey of factor analytic studies. New York, NY: Cambridge University Press.
7.
CattellR.B. (1963). Theory of fluid and crystallized intelligence: A critical experiment. Journal of Educational Psychology, 54, 1–22.
8.
CattellR.B. (1971). Abilities: Their structure, growth, and action. Boston, MA: Houghton Mifflin.
9.
CattellR.B. (1987). Intelligence: Its structure, growth, and action. New York, NY: North-Holland.
10.
CeciS.J.WilliamsW.M. (2010). Sex differences in math-intensive fields. Current Directions in Psychological Science, 19, 275–279.
11.
CeciS.J.WilliamsW.M.BarnettS.M. (2009). Women’s underrepresentation is science: Sociocultural and biological considerations. Psychological Bulletin, 135, 218–261.
12.
CronbachL.J.RajaratnamN.GleserG.C. (1963). Theory of generalizability. British Journal of Statistical Psychology, 16, 137–163.
13.
DonnayD.A.C.MorrisM.L.SchaubhutN.A.ThompsonR.C. (2005). The Strong Interest Inventory manual: Research, development, and strategies for interpretation. Mountain View, CA: CPP.
14.
EarlesJ.A.ReeJ.M. (1992). The predictive validity of the ASVAB for training grades. Educational and Psychological Measurement, 52, 721–725.
15.
EinarsdottirS.RoundsJ. (2009). Gender bias and construct validity in vocational interest measurement: Differential item functioning in the Strong Interest Inventory. Journal of Vocational Behavior, 74, 295–307.
16.
FeingoldA. (1988). Cognitive gender differences are disappearing. American Psychologist, 43, 95–103.
17.
GordonM.A. (1953). A study of the applicability of the same minimum qualifying scores for technical schools to white males, WAF, and Negro males (Technical Report No. 53–54). Lackland AFB, TX: Human Resources Research Center.
18.
GottfredsonL.S. (1997). Why g matters: The complexity of everyday life. Intelligence, 24, 79–132.
19.
GottfredsonL.S. (2004). Intelligence: Is it the epidemiologists’ elusive “fundamental cause” of social class inequalities in health?Journal of Personality and Social Psychology, 86, 174–199.
20.
GustafssonJ.-E. (1984). A unifying model of the structure of intellectual abilities. Intelligence, 8, 179–203.
21.
GustafssonJ.-E. (2002). Measurement from a hierarchical point of view. In BraunH.I.JacksonD.N.WileyD.E. (Eds.), The role of constructs in psychological and educational measurement (pp. 73–93). Mahwah, NJ: Erlbaum.
22.
HalpernD.F.BenbowC.P.GearyD.C.GurR.C.HydeJ.S.GernsbacherM.A. (2007). The science of sex differences in science and mathematics. Psychological Science in the Public Interest, 8, 1–51.
23.
HansenJ.C. (1988). Changing interests of women: Myth or reality?Applied Psychology, 37, 133–150.
24.
HansenJ.C.CampbellD.P. (1985). Manual for the Strong Interest Inventory: Form T325 of the Strong Vocational Interests Blanks (4th ed.). Stanford, CA: Stanford University Press.
25.
HedgesL.V.NowellA. (1995). Sex differences in mental test scores, variability, and numbers of high scoring individuals. Science, 269, 41–45.
26.
HollandJ.L. (1985). Making vocational choices: A theory of vocational personalities and work environments. Odessa, FL: Psychological Assessment Resources.
27.
HollandJ.L. (1996). Exploring careers with a topology. American Psychologist, 51, 397–406.
HunterJ.E. (1983a). A causal analysis of cognitive ability, job knowledge, job performance, and supervisory ratings. In LandyF.ZedeckS.ClevelandJ. (Eds.), Performance measurement and theory (pp. 257–266). Hillsdale, NJ: Erlbaum.
30.
HunterJ.E. (1983b). The prediction of job performance in the military using ability composites: The dominance of general cognitive ability over specific aptitudes (Report for Research Applications, Inc., in partial fulfillment of DOD Contract No. F41689-83-C-0025). Rockville, MD: Research Applications, Inc.
31.
HunterJ.E. (1983c). Validity generalization of the ASVAB: Higher validity for factor analytic composites (Report for Research Applications, Inc., in partial fulfillment of DOD Contract No. F41689-83-C-0025). Rockville, MD: Research Applications, Inc.
32.
HunterJ.E. (1984). The validity of the ASVAB as a predictor of civilian job performance (Report for Research Applications, Inc., in partial fulfillment of DOD Contract No. F41689-83-C-0025). Rockville, MD: Research Applications, Inc.
33.
HunterJ.E. (1985). Differential validity across jobs in the military (Report for Research Applications, Inc., in partial fulfillment of DOD Contract No. F41689-83-C-0025). Rockville, MD: Research Applications, Inc.
34.
HunterJ.E. (1986). Cognitive ability, cognitive aptitudes, job knowledge, and job performance. Journal of Vocational Behavior, 29, 340–362.
35.
HunterJ.E.CohenS.H. (1969). PACKAGE: A system of computer routines for the analysis of correlational data. Educational and Psychological Measurement, 29, 697–700.
36.
HunterJ.E.CrossonJ.J.FriedmanD.H. (1985). The validity of the Armed Services Vocational Aptitude Battery (ASVAB) for civilian and military job performance (Department of Defense Contract No. F41689-83-C-0025). Washington, DC: Research Applications, Inc.
37.
HunterJ.E.SchmidtF.L. (1976). A critical analysis of the statistical and ethical implications of various definitions of test bias. Psychological Bulletin, 83, 1053–1071.
38.
HunterJ.E.SchmidtF.L. (1996). Intelligence and job performance: Economic and social implications. Psychology, Public Policy, and Law, 2, 447–472.
39.
HunterJ. E.SchmidtF. L.LeH. (2006). Implications of direct and indirect range restriction for meta-analysis methods and findings. Journal of Applied Psychology, 91, 594–612.
40.
JensenA.R. (1980). Bias in mental testing. New York, NY: The Free Press.
41.
JensenA.R. (1998). The g factor: The science of mental ability. Westport, CT: Praeger.
42.
JudgeT.A.IliesR.DimotakisN. (2010). Are health and happiness the product of wisdom? The relationship of general mental ability to educational and occupational attainment, health, and well being. Journal of Applied Psychology, 95, 454–468.
43.
JudgeT.A.KlingerR.SimonL.S. (2010). Time is on my side: Time, general mental ability, human capital, and extrinsic career success. Journal of Applied Psychology, 95, 92–107.
44.
KassR.A.MitchellK.J.GraftonF.C.WingH. (1982). Factor structure of the Armed Services Vocational Aptitude Battery (ASVAB), Forms 8, 9, and 10: 1981 Army applicant sample (Technical Report No. 581). Washington, DC: U.S. Army Research Institute for the Behavioral and Social Sciences.
45.
KuderF.ZytowskiD.G. (1988). Kuder Occupational Interest Survey (Form E): Preliminary manual. Adel, IA: National Career Assessment Services.
46.
KuncelN.R.HezlettS.A.OnesD.S. (2004). Academic performance, career potential, creativity, and job performance: Can one construct predict them all?Journal of Personality and Social Psychology, 86, 148–161.
47.
KuncelN.R.OnesD.S.SackettP.R. (2010). Individual differences as predictors of work, educational, and broad life outcomes. Personality and Individual Differences, 49, 331–336.
48.
KvistA.V.GustafssonJ.-E. (2008). The relation of fluid intelligence and the general factor as a function of cultural background: A test of Cattell’s investment theory. Intelligence, 36, 422–436.
49.
LeH.SchmidtF.L.PutkaD.J. (2009). The multi-faceted nature of measurement error and its implications for measurement error corrections. Organizational Research Methods, 12, 165–200.
50.
LordF.M.NovickM.R. (1968). Statistical theories of mental test scores. Reading, MA: Addison-Wesley.
51.
LowK.S.D.YoonM.RobertsB.W.RoundsJ. (2005). The stability of vocational interests from early adolescence to middle adulthood: A quantitative review of longitudinal studies. Psychological Bulletin, 131, 713–737.
52.
LubinskiD.BenbowC.P. (1992). Gender differences in abilities and preferences among the gifted: Implications of the people-things dimension. Current Directions in Psychological Science, 1, 61–66.
53.
LubinskiD.BenbowC.P. (2006). Study of mathematically precocious youth after 35 years: Uncovering the antecedents for the development of math-science expertise. Perspectives on Psychological Science, 1, 316–345.
54.
LykkenD.T.BouchardT.J.Jr.McGueM.TellegenA. (1993). Heritability of interests: A twin study. Journal of Applied Psychology, 78, 649–661.
55.
McDanielM.A. (1985). The evaluation of a causal model of job performance: The interrelationships of general mental ability, job experience, and job performance (Unpublished doctoral dissertation). George Washington University, Washington, DC.
56.
McDanielM.A.SchmidtF.L.HunterJ.E. (1988). Job experience correlates of job performance. Journal of Applied Psychology, 73, 327–330.
57.
McHenryJ.J.HoughL.M.ToquamJ.L.HansonM.A.AshworthS. (1990). Project A validity results: The relationship between predictor and criterion domains. Personnel Psychology, 41, 335–354.
58.
NowellA.HedgesL.V. (1998). Trends in gender differences in academic achievement from 1960 to 1994: An analysis of differences in mean, variance, and extreme scores. Sex Roles, 39, 21–43.
59.
OleaM.M.ReeJ.M. (1994). Predicting pilot and navigator criteria: Not much more than g. Journal of Applied Psychology, 79, 845–851.
60.
ReeM.J.EarlesJ.A. (1991). Predicting training success: Not much more than g. Personnel Psychology, 44, 321–332.
61.
ReeM.J.EarlesJ.A. (1992). Intelligence is the best predictor of job performance. Current Directions in Psychological Science, 1, 86–89.
62.
ReeM.J.EarlesJ.A. (1994). The ubiquitous predictiveness of g. In RumseyM.G.WalkerC.B.HarrisJ.H. (Eds.), Personnel selection and classification (pp. 127–135). Hillsdale, NJ: Erlbaum.
63.
ReeM.J.EarlesJ.A.TeachoutM.S. (1994). Predicting job performance: Not much more than g. Journal of Applied Psychology, 79, 518–524.
64.
RindermannH.Flores-MendozaC.Mansur-AlvesM. (2010). Reciprocal effects between fluid and crystallized intelligence and their dependence on parents’ socioeconomic status and education. Learning and Individual Differences, 20, 544–548.
65.
RoznowskiM. (1987). Use of tests manifesting sex differences as measures of intelligence: Implications for measurement bias. Journal of Applied Psychology, 72, 480–483.
66.
SavickasM.L. (1999). The psychology of interests. In SavickasM.L.SpokaneA.R. (Eds.), Vocational interests: Meaning, measurement, and counseling use (pp. 19–56). Palo Alto, CA: Davies-Black.
67.
SavickasM.L. (2002). Career construction: A developmental theory of vocational behavior. In BrownD. (Ed.), Career choice and development (4th ed., pp. 149–205). San Francisco, CA: Jossey-Bass.
68.
SavickasM. L.SpokaneA. R. (1999). Vocational interests. Palo Alto, CA: Davies-Black.
69.
SchiefeleU.DrappA.WintelerA. (1992). Interest as a predictor of academic achievement: A meta-analysis of research. In RenningerK.A.HidiS.KrappA. (Eds.), The role of interests in learning and development (pp. 183–212). Hillsdale, NJ: Lawrence Erlbaum.
70.
SchmidtF.L. (1974). Probability and utility assumptions underlying use of the Strong Vocational Interest Blank. Journal of Applied Psychology, 59, 456–464.
71.
SchmidtF.L. (2002). The role of general cognitive ability in job performance: Why there cannot be a debate. Human Performance, 15, 187–210.
72.
SchmidtF.L.CranoW.D. (1974). A test of the theory of fluid and crystallized intelligence in middle and low SES school children. Journal of Educational Psychology, 66, 255–261.
73.
SchmidtF.L.HunterJ.E. (1992). Development of causal models of processes determining job performance. Current Directions in Psychological Science, 1, 89–92.
74.
SchmidtF.L.HunterJ.E. (1996). Measurement error in psychological research: Lessons from 26 research scenarios. Psychological Methods, 1, 199–223.
75.
SchmidtF.L.HunterJ.E. (1999). Theory testing and measurement error. Intelligence, 27, 183–198.
76.
SchmidtF.L.HunterJ.E. (2004). General mental ability in the world of work: Occupational attainment and job performance. Journal of Personality and Social Psychology, 86, 162–174.
77.
SchmidtF.L.HunterJ.E.OuterbridgeA.N. (1986). Impact of job experience and ability on job knowledge, work sample performance, and supervisory ratings of job performance. Journal of Applied Psychology, 71, 432–439.
78.
SchmidtF.L.HunterJ.E.OuterbridgeA.N.GoffS. (1988). Joint relation of ability and experience to job knowledge and job performance: A test of three hypotheses. Journal of Applied Psychology, 73, 46–57.
79.
SchmidtF.L.LeH.IliesR. (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, 206–234.
80.
SchmidtF.L.OnesD.S.HunterJ.E. (1992). Personnel selection. Annual Review of Psychology, 43, 627–670.
81.
SchweizerK.KochW. (2002). A revision of Cattell’s investment theory: Cognitive properties influencing learning. Learning and Individual Differences, 13, 57–82.
82.
SimsW.H.HiattC.M. (1981). Validation of the Armed Services Vocational Aptitude Battery (ASVAB) Forms 6 and 7 with Applications to ASVAB Forms 8, 9, and 10. Marine Corps Operations Analysis Group CNS 1160. Alexandria, VA: Center for Naval Analysis.
83.
SpearmanC. (1927). The abilities of man. New York, NY: Macmillan.
84.
StrongE. K. (1951). Permanence of interest scores over 22 years. Journal of Applied Psychology, 35, 89–91.
85.
SuR.RoundsJ.ArmstrongP.I. (2009). Men and things, women and people: A meta-analysis of sex differences in interests. Psychological Bulletin, 135, 859–884.
86.
ThorndikeR.L. (1985). The central role of general ability in prediction. Multivariate Behavioral Research, 20, 241–254.
87.
ThorndikeR.L. (1986). The role of general ability in prediction. Journal of Vocational Behavior, 29, 332–339.
88.
U.S. Department of Defense. (1982). Profile of American youth: 1980 Nationwide Administration of the Armed Services Vocational Aptitude Battery. Washington, DC: Office of the Assistant Secretary of Defense for Manpower, Reserve Affairs, and Logistics.
89.
WallerN.G.LykkenD.T.TellegenA. (1995). Occupational interests, leisure time interests, and personality. In LubinskiD.DawisR.V. (Eds.), Assessing individual differences in behavior (pp. 83–97). Palo Alto, CA: Davies-Black.
90.
WigdorA.K.GarnerW.R. (Eds.). (1982). Ability testing: Uses, consequences, and controversies (National Research Council Committee on Ability Testing). Washington, DC: National Academy Press.
91.
WilkS.L.DesmaraisL.B.SackettP.R. (1995). Gravitation to jobs commensurate with ability: Longitudinal and cross-sectional tests. Journal of Applied Psychology, 80, 79–85.
92.
WilkS.L.SackettP.R. (1996). A longitudinal analysis of ability-job complexity fit and job change. Personnel Psychology, 47, 937–976.
