A confirmatory analysis of the factor stability hypothesis

The procedures recently developed by Jöreskog for studying similarities and differences in factor structures between different groups were applied to data from a study designed by Thurstone to investigate the sampling stability of a hypothesized isolated configuration. The hypothesis of an isolated configuration was rejected but not by much. The results represent a restricted and unique simple structure solution with the factor loadings and uniqueness values invariant over the two samples.     

An empirical verification of the Wherry-Gaylord iterative factor analysis procedure

A comparison of the Wherry-Gaylord iterative factor analysis procedure and the Thurstone multiple-group analysis of sub-tests shows that the two methods result in the same factors. The Wherry-Gaylord method has the advantage of giving factor loadings for items. The number of iterations needed can be reduced by doing a factor analysis of sub-tests, re-grouping sub-tests according to factors, and using each group as a starting point for iterations.This research was carried out under Contract No. WSW-2503, between the Department of the Army and Ohio State University. This paper is based on the final report PRS No. 827 under that contract. The opinions expressed herein regarding matters relating to the Department of the Army are those of the authors and are not necessarily official.     

An empirical application of confirmatory factor analysis to the multitrait-multimethod matrix

Though most social psychologists are aware of the use of factor analysis as an exploratory method to uncover latent dimensions, factor analysis can also be used in a confirmatory mode to test specific hypotheses. A confirmatory solution is unique and cannot be rotated. One possible use of confirmatory factor analysis is with the multitrait-multimethod matrix. Jaccard, Weber, and Lundmark's (1975) multitrait-multimethod matrix of two traits and four methods is analyzed using confirmatory factor analysis. Given the very small sample size the analysis is primarily illustrative. A simple two factor model with errors of measurement correlated across measures using the same method satisfactorily fits the data. Both discriminant and convergent validity are high and none of the methods has higher reliability or less correlated measurement error. The reliability of measures estimated by maximum likelihood factor analysis is lower than the test-retest reliability since method variance is subtracted out. Confirmatory factor analysis is recommended over the Campbell-Fiske criteria.     

An empirical investigation of the factor structure of the AUDIT

This study investigated the Alcohol Use Disorders Identification Test's (AUDIT) factor structure and psychometric properties. The factor structure was derived from a sample of 7,035 men and women primary care patients. A principal components analysis identified 2 factors in the AUDIT data and was supported in a confirmatory factor analysis (CFA). The 2 factors were Dependence/Consequences and Alcohol Consumption. The CFA also provided support for a 3-factor model whose factors (Alcohol Consumption, Alcohol Dependence, and Related Consequences) matched those proposed by the AUDIT's developers. Psychometric indexes were determined by use of the baseline and 12-month follow-up data of 301 men and women who entered a clinical trial. The results showed that the 2 factors had good reliability. Validity tests supported the interpretation of what the 2 factors measure, its implications for relationships to other variables, and the comparability of the 2- and 3-factor models.     

An individual differences analysis of the self-teaching hypothesis

The self-teaching hypothesis suggests that children learn orthographic structure of words through the experience of phonologically recoding them. The current study is an individual differences analysis of the self-teaching hypothesis. A total of 40 children in Grades 2 and 3 (7-9 years of age) completed tests of phonological recoding, word identification, and orthographic knowledge. The relation of phonological recoding and word identification was significantly mediated by orthographic knowledge. Furthermore, two aspects of orthographic knowledge (perhaps word-specific and general orthographic knowledge) mediated different variance shared between phonological recoding and word identification. Results support an individual differences version of the self-teaching hypothesis and emphasize the importance of phonological recoding in the primary curriculum.     

An empirical analysis of the super-latent inhibition effect

In three conditioned taste aversion experiments, we examined the roles of several variables in producing super-latent inhibition (LI). This effect, greater LI after a long interval than after a short interval between the conditioning and the test stages (De la Casa & Lubow, 2000), was shown to increase with the number of stimulus preexposures (0, 2, or 4; Experiment 1) and with the length of the delay interval (1, 7, 14, or 21 days; Experiment 2). Furthermore, super-LI was obtained when the delay interval was introduced between the conditioning and the test stages (Experiments 1 and 2), but not when it was introduced between the preexposure and the conditioning stages (Experiment 3). The results are discussed in relation to interference explanations of LI.     

An empirical study of item-test regression

Certain questions about the shape of item-test regressions are answered on the basis of data obtained from 103,275 examinees. Ten of the regressions obtained are shown in illustrative plots.This work was supported in part by the College Entrance Examination Board.     

An empirical test of formal equivalence between Emmert's law and the size-distance invariance hypothesis

Emmert's law and the size-distance invariance hypothesis have been said to be formally equivalent, provided that Emmert's law means that the perceived size of an afterimage is proportional to the perceived distance of the projected surface of the afterimage. However, there have been very few studies that have attempted to verify this formal equivalence empirically. We measured both the perceived size and distance of afterimages and real objects with the same proximal size. Nineteen participants projected afterimages of 1 deg in visual angle on the wall located at distances of 1 to 23 meters from the participants. They also observed real objects, disc-shaped and made from a sheet of Styrofoam board, with the same proximal size as that of the afterimages, which were located at the same physical distances as those of the wall on which the afterimages were projected. Each participant reproduced the apparent sizes of the afterimages and real objects using the reproduction method and estimated the apparent distances using the magnitude estimation method. When the mean apparent sizes of the afterimages and real objects, represented as a function of apparent distance, were fitted to a linear function, the slopes for the afterimages and real objects did not differ significantly. These results are interpreted as evidence for the formal equivalence of Emmert's law and the size-distance invariance hypothesis.     

Testing a simple structure hypothesis in factor analysis

It is assumed that the investigator has set up a simple structure hypothesis in the sense that he has specified the zero loadings of the factor matrix. The maximum-likelihood method is used to estimate the factor matrix and the factor correlation matrix directly without the use of rotation methods, and the likelihood-ratio technique is used to test the simple structure hypothesis. Numerical examples are presented.The work was supported by a grant (NSF-GB 1985) from the National Science Foundation to Educational Testing Service. Reproduction in whole or in part for any purpose of the United States Government is permitted.The work was carried out when the author was Visiting Research Statistician at Educational Testing Service. The author wishes to thank Dr. Frederic M. Lord for many helpful suggestions throughout the course of this study.     

An empirical evaluation of alternative methods of estimation for confirmatory factor analysis with ordinal data

Confirmatory factor analysis (CFA) is widely used for examining hypothesized relations among ordinal variables (e.g., Likert-type items). A theoretically appropriate method fits the CFA model to polychoric correlations using either weighted least squares (WLS) or robust WLS. Importantly, this approach assumes that a continuous, normal latent process determines each observed variable. The extent to which violations of this assumption undermine CFA estimation is not well-known. In this article, the authors empirically study this issue using a computer simulation study. The results suggest that estimation of polychoric correlations is robust to modest violations of underlying normality. Further, WLS performed adequately only at the largest sample size but led to substantial estimation difficulties with smaller samples. Finally, robust WLS performed well across all conditions.     

An empirical analysis of trends in psychology

The present research examined trends in the prominence of 4 widely recognized schools in scientific psychology: psychoanalysis, behaviorism, cognitive psychology, and neuroscience. The results, which replicated across 3 measures of prominence, showed the following trends: (a) psychoanalytic research has been virtually ignored by mainstream scientific psychology over the past several decades; (b) behavioral psychology has declined in prominence and gave way to the ascension of cognitive psychology during the 1970s; (c) cognitive psychology has sustained a steady upward trajectory and continues to be the most prominent school; and (d) neuroscience has seen only a modest increase in prominence in mainstream psychology, despite evidence for its conspicuous growth in general. The authors use these findings as a springboard for discussing different views of scientific prominence and conclude that psychologists should evaluate trends in the field empirically, not intuitively.     

An empirical study of the diathesis-stress theory of disease

One thousand, one hundred and twenty-one Jewish concentration camp survivors were compared with 367 Jewish controls who had not been in a concentration camp, and had not lost any family members in such a camp. Of interest was the mortality of camp and comparison groups, on the hypothesis that the stress of being in a camp would adversely affect inmates. It was found that former camp inmates were over twice as likely to die of cancer, coronary heart diesease, or other causes as the comparison subjects of similar age and sex composition, and that severity of stress was correlated with mortality in the expected direction. Diathesis, determined by means of a special interviewer-administrated questionnaire, was found to interact synergistically with stress in producing high mortality.     

An empirical study of the traditional Mach card effect

The traditional achromatic Mach card effect is an example of lightness inconstancy and a demonstration of how shape and lightness perception interact. We present a quantitative study of this phenomenon and explore the conditions under which it occurs. The results demonstrate that observers show lightness constancy only when sufficient information is available about the light-source position, and the perceptual task required of them is surface identification rather than direct colour-appearance matching. An analysis and comparison of these results with the chromatic Mach card effect (Bloj et al 1999 Nature 402 877-879) demonstrate that the luminance effects of mutual illumination do not account for the change in lightness perception in the traditional Mach card.     

A corrective note on O'Donohue and Szymanski's study of logical analysis and REBT's use of empirical hypothesis testing as well as logical analysis

This article acknowledges the contribution of O'Donohue and Szymanski's study showing that the logical analysis of irrational beliefs that rational emotive behavior therapy (REBT) favors may be more effective than the empirical hypothesis testing that cognitive therapy (CT) favors. It points out, however, that logical analysis and empirical hypothesis testing include overlapping concepts and procedures. REBT, though favoring logical analysis, actually uses empirical hypothesis testing too.     

An empirical study of medical termination of pregnancy

Several studies (Senturia and Rothman, 1967; Simon et al., 1969; Stewart et.al., 1973) have shown that therapeutic abortion may be accompanied by various psychological problems (e.g., psychiatric illness, confused sexual identity, sadomasochism). This study attempts to determine the personality characteristics, e.g., extraversion-introversion, neuroticism-stability and manifest anxiety of women who seek abortion and compare them with a control group. The Eysenk Personality Inventory and the Manifest Anxiety scale adapted by George (1965, 1974) were administered to 2 groups, the experimental group (n=50; mean age, 25.8) consisting of women seeking abortion, and the control group (n=30; mean age, 25.4 years; matched for age and socioeconomic status with the experimental). Mean values for extraversion-introversion, neuroticism-stability, and manifest anxiety for the experimental group were 11.08, 15.5 and 23.74 respectively. Corresponding figures for the control group were 11.00, 10.46, and 11.96 respectively. The results show that the experimental group differed significantly from the control group in the dimensions of neuroticism and manifest anxiety. No significant differences were found between the 2 groups in terms of extraversion. The stressful nature of pregnancy is briefly discussed.     

An empirical test of the covariation analysis in causal attribution

The present investigation was designed to reveal the cognitive inference processes associated with both detection and utilization of covariation information in causal attribution. Male undergraduates were (a) informed that a test was easy or difficult and shown a videotape in which (b) the test-taker's performance was high or low, and (c) covariation between the test-taker's effort expenditure and trial-by-trial outcome was present or absent. High performance was attributed to the test-taker's effort and ability, whereas low performance was attributed to the difficulty of the test. However, recognition of the covariance relationship decreased the attribution of high performance to ability and of low performance to test difficulty and increased the attribution of low performance to effort. Effort attribution in the high performance condition was independent of covariation information. The results are discussed in terms of the relationship between covariation information and typical beliefs about the causes of achievement outcomes.