Testosterone levels as modi ers of psychometric g



Similar documents
Eye color predicts alcohol use in two archival samples

PLEASE SCROLL DOWN FOR ARTICLE. Full terms and conditions of use:

Estimate a WAIS Full Scale IQ with a score on the International Contest 2009

Investigating the genetic basis for intelligence

1 Hypothesis Testing. H 0 : population parameter = hypothesized value:

Portfolio selection based on upper and lower exponential possibility distributions

Rede ning medical students' disease to reduce morbidity

II. DISTRIBUTIONS distribution normal distribution. standard scores

Divided attention impairments after traumatic brain injury

Bystander intervention in computer-mediated communication

A note on the impact of options on stock return volatility 1

ARE STOCK PRICES PREDICTABLE? by Peter Tryfos York University

Entrepreneurial Intent among Students in Scandinavia and in the USA

How To Test The Theory Of In Ation Expectations

Measuring critical thinking, intelligence, and academic performance in psychology undergraduates

Are We Wasting Our Children s Time by Giving Them More Homework?

Chapter 3: The Multiple Linear Regression Model

Changing income shocks or changed insurance - what determines consumption inequality?

Lesson 5. Risky assets

1 Another method of estimation: least squares

A long-term rise and recent decline in intelligence test performance: The Flynn Effect in reverse

Discount rate changes, stock market returns, volatility, and trading volume: Evidence from intraday data and implications for market e ciency q

PII S (97) BRIEF REPORT

Early Childhood Measurement and Evaluation Tool Review

Chapter 5: The Cointegrated VAR model

Human resource allocation in a multi-project R&D environment

English Summary 1. cognitively-loaded test and a non-cognitive test, the latter often comprised of the five-factor model of

IDENTIFICATION IN A CLASS OF NONPARAMETRIC SIMULTANEOUS EQUATIONS MODELS. Steven T. Berry and Philip A. Haile. March 2011 Revised April 2011

Renewable energy education for sustainable development

Managing project risks: a case study from the utilities sector

Top Universities Have Top Economics Departments

Student Intelligence and Academic Achievement in Albanian Universities. Case of Vlora University

Normalization and Mixed Degrees of Integration in Cointegrated Time Series Systems

Panel Data Econometrics

Chapter 5: Analysis of The National Education Longitudinal Study (NELS:88)

standardized tests used to assess mental ability & development, in an educational setting.

Bias in the Estimation of Mean Reversion in Continuous-Time Lévy Processes

Herding, Contrarianism and Delay in Financial Market Trading

Empirical Methods in Applied Economics

Descriptive Statistics

Temperature and evolutionary novelty as forces behind the evolution of general intelligence

Measurement and Measurement Scales

Optimal number of response categories in rating scales: reliability, validity, discriminating power, and respondent preferences

Personality, learning style and work performance

Don t Forget to Warm-Up Your Brain! Caroline Liddy. Before beginning a race, do you jump right into it and run as fast as you can,

Stochastic simulation of risk factor potential e ects for software development risk management

Additional sources Compilation of sources:

Advanced Development Economics: Business Environment and Firm Performance. 20 October 2009

Application of sensitivity analysis in investment project evaluation under uncertainty and risk

How To Find Out How Different Groups Of People Are Different

The Dynamics of UK and US In ation Expectations

Education and Wage Differential by Race: Convergence or Divergence? *

DISCRIMINANT FUNCTION ANALYSIS (DA)

CAPM, Arbitrage, and Linear Factor Models

MULTIPLE CHOICE. Choose the one alternative that best completes the statement or answers the question.

Occupational Tasks and Changes in the Wage Structure

Theory of Errors and Least Squares Adjustment

Harrison, P.L., & Oakland, T. (2003), Adaptive Behavior Assessment System Second Edition, San Antonio, TX: The Psychological Corporation.

From the help desk: Bootstrapped standard errors

Home Schooling Achievement

Chapter 2. Dynamic panel data models

A PROSPECTIVE EVALUATION OF THE RELATIONSHIP BETWEEN REASONS FOR DRINKING AND DSM-IV ALCOHOL-USE DISORDERS

Overview of Factor Analysis


CENTER FOR EQUAL OPPORTUNITY. Preferences at the Service Academies

Internet Appendix for Institutional Trade Persistence and Long-term Equity Returns

CORRELATIONAL ANALYSIS: PEARSON S r Purpose of correlational analysis The purpose of performing a correlational analysis: To discover whether there

The e ects of background music on word processed writing

Attitudes, satisfaction and usage: factors contributing to each in the acceptance of information technology

FACTOR ANALYSIS NASC

On the relationship between Karen Horney's tripartite neurotic type theory and personality disorder features

DESCRIPTIVE STATISTICS. The purpose of statistics is to condense raw data to make it easier to answer specific questions; test hypotheses.

Transcription:

Personality and Individual Di erences 28 (2000) 601±607 www.elsevier.com/locate/paid Testosterone levels as modi ers of psychometric g Helmuth Nyborg a, *, Arthur R. Jensen b a Institute of Psychology, University of Aarhus, DK 8240Risskov, Denmark b School of Education, University of California, Berkeley, CA 94720-1670, USA Received 17 February 1999; received in revised form 30 March 1999; accepted 26 April 1999 Abstract In large samples of American armed forces veterans, those below the rst percentile and above the 99th percentile in serum testosterone level show signi cantly and considerably lower g factor scores derived from a battery of 19 diverse psychometric variables. Between these extremes of testosterone level, however, there is little relationship between testosterone and psychometric g. Factors orthogonal to g were also a ected only at the extremes of testosterone level. # 2000 Elsevier Science Ltd. All rights reserved. 1. Introduction Endocrinology is becoming a prominent aspect of the psychobiology of personality and other dimensions of individual di erences in human behavior. Studies of behavioral correlates of various hormones have shown that individual di erences in testosterone levels (and the testosterone/estrogen balance) are correlated not only with a number of physical variables, but also with a variety of personality factors and socially signi cant types of behavior, reviewed extensively elsewhere (Dabbs & Morris, 1990; Nyborg, 1994, 1997). More is known about its relation to personality, socialization and educational and occupational attainments than about its strictly cognitive correlates. Christiansen and Knussmann (1987) have reported that in adults higher levels of testosterone are related to higher verbal ability than spatial ability. On the other hand, Geschwind and Behan (1984) have claimed that higher levels of fetal * Corresponding author. Tel.: +45-8942-4900; fax: +45-8942-4901. E-mail address: helmurth@psy.au.dk (H. Nyborg) 0191-8869/00/$ - see front matter # 2000 Elsevier Science Ltd. All rights reserved. PII: S0191-8869(99)00123-3

602 H. Nyborg, A.R. Jensen / Personality and Individual Di erences 28 (2000) 601±607 testosterone enhance right-brain development, thereby causing relatively higher spatial than verbal ability. These claims are puzzling if one assumes that there is a positive correlation between fetal and adult testosterone levels. However, it is just as likely that the apparent contradiction results from the fact that all cognitive tests are loaded to some extent on a general factor, or g (Jensen, 1998) and, although verbal tests typically have higher g loadings than spatial tests, the reverse may also be true, depending on the particular tests. Therefore it is necessary to investigate the relationship of testosterone to psychometric factors, particularly the g factor, rather than merely scores on speci c tests or on IQ scales that are an arbitrary unit-weighted composite of subtests that re ect a number of di erent factors. The present study, therefore, examines the relationship between testosterone and factor scores for three orthogonal factors, including g, derived from a battery of 19 psychometric measures of diverse cognitive abilities. 2. Method 2.1. Subjects The subject samples are the same as the 3535 white (W) and 502 black (B) US military veterans described in this journal (Nyborg & Jensen, in press). 2.2. Psychometric variables The tests yielding these 19 experimentally independent psychometric variables and the factor scores derived from a principal components analysis (best described as g, visual±spatial memory and motor speed and dexterity) are described by Nyborg and Jensen (in press). 2.3. Testosterone measure These measurements were obtained in 1985/86, when subjects averaged 38.1 yr of age. Blood specimens were taken in the morning before breakfast, following an overnight fast commencing at 7 p.m. Plasma testosterone concentration was determined (in ng/dl, or ng/100 ml) using a standard double antibody radioimmunoassay system (Leeco Diagnostics, Inc) and monitored with bench and blind repeat quality control procedures. As the Vietnam and non-vietnam veterans did not di er in testosterone concentration, their data were pooled. In the present study, the total log-normalized distribution of individual testosterone concentrations was converted to a scale of seven categorical androtypes labeled (from lowest to highest) A0 through A6. A0 is the lowest one percent of the total distribution (i.e. 1st percentile and below); A6 is the highest 1% (i.e. 99th percentile and above). The remaining subjects were assigned to ve nearly equal-sized categories (A1 through A5). The androtypes, rather than the plasma concentrations of testosterone, were used in the subsequent analyses. The numbers of Ws and Bs of each androtype are shown in Table 1.

H. Nyborg, A.R. Jensen / Personality and Individual Di erences 28 (2000) 601±607 603 Table 1 Number of subjects in each androtype Group Androtypes A0 A1 A2 A3 A4 A5 A6 White 34 695 700 695 695 700 37 Black 5 85 101 89 96 116 10 3. Results In all analyses the data were statistically adjusted for age and test±retest interval by regression or covariance analysis. 3.1. B and W testosterone concentrations The mean and S.D. (in parentheses) of the basic testosterone measures (in ng/dl) for the B and W samples, respectively, are 701.43 (248.45) and 675.96 (230.48), which, in average withingroup S.D. units, amounts to only 0.11 S.D. but is statistically signi cant (t = 2.43, p < 0.015). 3.2. General factor ( g ) The means of g factor scores (scaled with overall mean=0, S.D.=1) for each androtype in the W and B samples are shown in Fig. 1. The main e ects of the W±B di erence and the mean di erences between androtypes in g factor scores are both signi cant [F(1, 4042)=211.51, p < 0.000 and F(6, 4042)=2.49, p < 0.02, respectively]. The race androtype interaction e ect is nonsigni cant (F < 1). In the present research based on very large samples and in which almost every statistic is signi cant beyond the 0.05 level of con dence, the measurement of `e ect size' is most important. The proper measure of e ect size in the present analyses is the coe cients of nonlinear correlation (Z ) between all seven androtypes (A0±A6) and g factor scores (based on PC1), separately for the W and B samples. The values of Z are shown in Table 2; also shown are the Z values when the extreme androtypes (A0 and A6) are excluded, i.e. only for androtypes A1±A5. (Note: Z 2 is the proportion of the total variance in the given factor scores accounted for by the variation in androtypes.) 3.3. Factors orthogonal to g Table 2 also shows the values of Z obtained for factor scores based on the remaining signi cant orthogonal principal components PC2 and PC3 in this test battery. Figs 2 and 3 show the mean factor scores as a function of androtypes for the W and B samples, respectively.

604 H. Nyborg, A.R. Jensen / Personality and Individual Di erences 28 (2000) 601±607 Fig. 1. Mean g factor scores (standardized in total sample to mean=0, S.D.=1) as a function of androtypes, from lowest (A0) to highest (A6), for white and black samples. 4. Discussion The results indicate that the e ects of testosterone on mental abilities is undoubtedly real, but is quite limited, accounting overall for between one to two percent of the total variance in ability factors in the present samples. The general e ect size of testosterone, as indicated by Z, the coe cient of nonlinear correlation is very small. However, this does not negate the fact Table 2 Nonlinear correlation coe cient (Z ) between androtypes and factor scores for PC1 ( g ), PC2 and PC3 in white (W) and black (B) samples for androtypes A0±A6 and A1±A5 Factor Scores Androtypes A0±A6 A1±A5 W B W B PC1 ( g ) 0.089, p < 0.00 0.125, p < 0.26 0.087, p < 0.00 0.114, p < 0.16 PC2 (spatial memory) 0.045, p < 0.31 0.136, p < 0.16 0.033, p < 0.44 0.084, p < 0.49 PC3 (motor speed) 0.067, p < 0.02 0.117, p < 0.34 0.054, p < 0.04 0.083, p < 0.51

H. Nyborg, A.R. Jensen / Personality and Individual Di erences 28 (2000) 601±607 605 Fig. 2. Mean factor scores of white sample on second and third principal components (PC2 and PC3), standardized in total sample to mean=0, S.D.=1. that groups at the extremes of testosterone level Ð below the 1st percentile and above the 99th Ð show rather marked e ects. On the g factor, for testosterone levels below the 1st percentile (group A0) the g factor scores are lowered 0.143s in the W sample and 0.429s in the B sample, relative to the average level of g for androtypes between the 1st and 99th percentiles (i.e. androtypes A1±A5). These sigma decrements are roughly equivalent to IQ decrements of 2.1 and 6.4, respectively. At the 99th percentile (A6) the average decrement in g factor scores amounts to 0.153s for Ws and 0.033s for Bs, corresponding to IQ decrements of 2.3 and 0.2, respectively. The two signi cant factors besides g are not as clearly de ned in the present factor analysis, but they are best characterized as spatial memory (PC2) and motor speed and agility (PC3). In group A0, the PC2 factor scores are lowered by about 0.30 for Ws and about 1.20 for Bs, equivalent on an IQ scale to 5 and 18 points, respectively. For PC3, testosterone has opposite e ects for Ws and Bs in group A0, raising W performance by about 0.4s and lowering B performance by about 0.7s. These opposite e ects in the W and B groups are puzzling and remain unexplained. Considering the relatively small numbers in this extreme group, however, this nding could be a uke. A high level of testosterone (A6) has small and nondescript e ects on PC2 and PC3. For none of the three factors does it appear that testosterone level accounts for any appreciable degree of the mean W±B di erences on these factors. For g factor scores, the

606 H. Nyborg, A.R. Jensen / Personality and Individual Di erences 28 (2000) 601±607 Fig. 3. Mean factor scores of black sample on second and third principal components (PC2 and PC3), standardized in total sample to mean=0, S.D.=1. interaction between testosterone levels (androtypes) and race was nonsigni cant. The overall within-groups e ects of testosterone are too small to warrant hypothesizing that the mean B± W di erence of 0.11s in testosterone levels, though signi cant, explains any appreciable part of the large mean W±B di erence of 1.17s in g factor scores. Also, very close to 1 percent of both the W (0.96%) and B samples (1.00%) fall into group A0, which has the largest e ects on all of the psychometric factors, while 1.04% of the W sample and 1.99% of the B sample fall into group A6, which has a relatively weak e ect on the psychometric factors. The direction of causality is not established, but it seems most unlikely that psychometric factors have any direct e ect on testosterone. It is more likely that the observed e ects are either a direct cause of extreme testosterone levels or that some third in uence, as yet not identi ed, a ects both testosterone levels and test performance. Finally, we must agree with the statement by Dabbs and Morris (1990) in their study of the e ects of testosterone levels on antisocial behavior, that ``the e ects reported in the present paper are relatively small in size and account for appreciable variance only at the extreme levels of testosterone'' (p. 211). Though the observed e ects show up as statistically signi cant in the present immense samples, it is unlikely they could have been detected at a signi cant level in even moderate sized samples. Such statistical ndings, though practically useless for the prediction or explanation of the behavior of individuals, may have explanatory value for epidemiological and demographic di erences observed between large subpopulations. The

H. Nyborg, A.R. Jensen / Personality and Individual Di erences 28 (2000) 601±607 607 results are of theoretical interest in showing that individual di erences in the blood concentration of testosterone have some modifying e ect on mental abilities. It is likely that other hormones also might act as moderators of cognitive variables, manifested as linear or nonlinear e ects on psychometric performance. References Christiansen, K., & Knussmann, R. (1987). Sex hormones and cognitive functioning in men. Neuropsychobiology, 18, 27±36. Dabbs Jr., J. M., & Morris, R. (1990). Testosterone, social class, and antisocial behavior in a sample of 4462 men. Psychological Science, 1, 209±211. Geschwind, N., & Behan, P. O. (1984). Laterality, hormones, and immunity. In N. Geschwind, & A. M. Galaburda, Cerebral dominance: the biological foundations. Cambridge, MA: Harvard University Press. Jensen, A. R. (1998). The g factor. Westport, CT: Praeger. Nyborg, H. (1994). Hormones, sex, and society: the science of physicology. Westport, CT: Praeger. Nyborg, H. (1997). Personality, psychology, and the molecular wave: covariation of genes with hormones, experience, and traits. In: Bermudez, J., de Raad, B., De Vries, J., Perez-Garcia, A.M., Sanchez-Elvira, A., Van Heck, G.L., Personality psychology in Europe (Vol. 6, pp. 159±173). Tilburg: Tilburg University Press. Nyborg, H., & Jensen, A.R. (in press). Black±white di erences on various psychometric tests: Spearman's hypothesis tested on American armed services veterans. Personality and Individual Di erences.