Mutability and propensity in causal selection

We examined differences in causal ratings of 1 factor depending on the mutability (defined as the ease with which a factor can be imagined to be different) and causal propensity (defined as the likelihood that the event would occur in the presence of a factor) of another factor that conjoined to produce the event. In 3 studies, causal ratings of the target factor depended on the interaction of mutability and propensity of the other factor. When the other factor was high in mutability, ratings of the target decreased as the propensity of the contributing factor increased, but when the other was low in mutability, ratings of the target increased as the propensity of the contributing factor increased. Mediation analysis indicated that mutability and propensity affected causal ratings by determining the comparison against which the event was considered. Comparison judgments also mediated beliefs about which factor should have adjusted to the other.     

过度医疗与医疗风险的关系

医疗风险导致医患立场日益分化,影响了正常的医疗秩序。就过度医疗与医疗风险的关系对医患立场的影响问题,从医疗风险的经济学因素、法律因素、人道主义因素和医疗技术因素4个方面阐述过度医疗的原因,并对此提出解决建议。     

Discrimination Learning and Discrimination Reversal Learning in Normal and Feebleminded Children

Two studies compared methods of estimating factor scores for the Child's Report of Parental Behavior Inventory. In Study I, least squares factor scores for 5th and 6th graders were computed and correlated with estimates obtained by multiple regression, weighted summation, and unweighted summation with either (a) all scales best defining each factor, (b) the three best, or (c) the two best defining scales. All three estimation methods were highly accurate, and estimates obtained with three and even two scales per factor still correlated highly with the factor scores. In Study 11, factor scores for college students were correlated with estimates obtained by multiple regression and unweighted summation of the same subsets of scales. Again both estimation methods were highly accurate, and reducing the number of scales did not markedly reduce the correspondence of estimated scores to exact scores.     

Word reading and picture naming in Italian

Results from two separate norming studies of lexical access in Italian were merged, permitting a comparison of word-reading and picture-naming latencies and the factors that predict each one for an overlapping subsample of 128 common nouns. Factor analysis of shared lexical predictors yielded four latent variables: a frequency factor, a semantic factor, a length factor, and a final factor dominated by frication on the initial phoneme. Age of acquisition (AoA) loaded highly on the first two factors, suggesting that it can be split into separate sources of variance. Regression analyses using factor scores as predictors showed that word reading and picture naming are both influenced by the frequency/AoA factor. The semantics/AoA factor influenced only picture naming, whereas the length and frication factors influenced only word reading. Generalizability of these results to other languages is discussed, including potential effects of cross-language differences in orthographic transparency.     

探索性因子分析及其在应用中存在的主要问题

探索性因子分析的发展非常迅速,已成为教育与社会心理学领域中最常用的统计方法之一。本文全面介绍了探索性因子分析的基本原理,阐述了其发生的机制及基本过程,对其在教育、心理领域应用中存在的问题进行了总结,并针对应用中样本容量和观测变量数目不够、因子求解方法的误用、因子数目的确定标准及因子旋转中存在的问题、因子值缺乏重复验证性、研究结果呈现形式不规范、过于依赖SPSS、缺乏主动性等问题提出了一些相应的建议。     

Measurement and structural invariance of parent ratings of ADHD and ODD symptoms across gender for American and Malaysian children

The purpose of this study was to examine the measurement (configural, metric, scalar, and residual) and structural (factor variance, factor covariance, and factor means) invariance of parent ratings of the attention-deficit/hyperactivity disorder - inattention (ADHD-IN), ADHD - hyperactivity/impulsivity (ADHD-HI), and oppositional defiant disorder (ODD) symptoms as described in the Diagnostic and Statistical Manual of Mental Disorders (4th ed.; American Psychiatric Association, 1994) across boys and girls. In an American pediatric sample (N = 1,015) and a Malaysian elementary school-age sample (N = 928), there was strong support for configural, metric, scalar, residual, factor variance, and covariance invariance across gender within each sample. Both American and Malaysian boys had significantly higher scores on the ADHD-IN and ADHD-HI factor means than did girls, whereas only in the American sample did boys score significantly higher on the ODD factor than did girls. The implications of the results for the study of gender, ethnic, and cultural differences associated with ADHD and ODD are discussed.     

Descriptive axioms for common factor theory,image theory and component theory

Through an extension of work by Guttman, common factor theory, image theory, and component theory are derived from distinct minimum subsets of assumptions chosen out of a set of five possible assumptions. It is thence shown that the problem of indeterminacy of factor scores in the common factor model is precisely reflected in the problem of the non-orthogonality of anti-images. Indeed, image scores are determinate for the same reason that the usual estimates of factor scores are determinate, and image scores cannot be used as though they were factor scores for the same reason that factor score estimates cannot be used as though they were factor scores.     

A structural comparison between state and trait self-regulation models

State and trait-regulation models were compared in 315 eleventh-graders using simultaneous confirmatory factor analysis. Each of the first-, second-, and third-order factor models was found to describe the data from both state and trait measures well. In both state and trait self-regulation models, the third-order factor, self-regulation, is composed of metacognition and effort, and the second-order factor, metacognition, is composed of awareness, cognitive strategy, planning, and self-checking. Findings of invariant factor loadings and factor correlations across state and trait measures indicate that the state and trait self-regulatory factor structures are similar. Unlike the state-trait distinctions found in affective personality domain, clear state-trait distinction was not found in this cognitive domain. In both measures, students who engaged more frequently in metacognitive activities and effort use in their mathematical problem solving performed better than those who did not.     

Factorial validity and measurement invariance of the 20-item Toronto Alexithymia Scale in clinical and nonclinical samples

The most widely used instrument to measure alexithymia is the 20-item Toronto Alexithymia Scale (TAS-20). However, different factor structures have been found in different languages. This study tests six published factor models and metric invariance across clinical and nonclinical samples. It also investigated whether there is a method effect of the negatively keyed items. Second-order models with alexithymia as a higher order factor are tested. Confirmatory factor analyses showed that the original factor model with three factors-difficulty identifying feelings (DIF); difficulty describing feelings (DDF) and externally oriented thinking (EOT)-is the best fitting model. Partial measurement invariance across samples was illustrated but requires further study. A weakness of the model is the low internal consistency of the third factor. Because models with a method factor had a better fit, future reconsideration of the negatively formulated items seems necessary. No evidence was found for the second-order models.     

Differences between general computer attitudes and perceived computer attributes: development and validation of a scale

The aim of this study was to develop a tool for measuring individuals' dispositions toward the use of computers in their work environment. The study reports the construction and validation of a general computer attitude and perceived computer attribute scale. Exploratory factor analytical evidence with a sample of 381 employees indicated a structure underpinned by two constructs, an attitudinal factor and a perceived computer attribute factor. The internal consistency estimates of reliability of scores were .81 for the attitudinal factor and .89 for the perceived computer attribute factor. Compared to the computer attitude subscale, scores on the perceived computer attribute subscale correlated higher with computer experience and professional computer use within the sample.     

The structure of the Hospital Anxiety and Depression Scale: Theoretical and methodological considerations

The Hospital Anxiety and Depression Scale (HADS; Zigmond - Snaith, 1983) is widely used; however, its factor structure is unclear, with studies reporting differing unidimensional, two-factor and three-factor models. We aimed to address some key theoretical and methodological issues contributing to inconsistencies in HADS structures across samples. We reviewed existing HADS models and compared their fit using confirmatory factor analysis (CFA). We also investigated methodological effects by comparing factor structures derived from Rasch and Principal Components Analysis (PCA) methods, as well as effects of a negative wording factor. An Australian community-dwelling sample consisting of 189 females and 158 males aged 17–86 (M = 35.73, SD = 17.41) completed the 14-item HADS. The Rasch Analysis, PCA and CFA all supported the original two-factor structure. Although some three-factor models had good fit, they had unacceptable reliability. In the CFA, a hierarchical bifactor model with a general distress factor and uncorrelated depression and anxiety subscales produced the best fit, but the general factor was not unidimensional. The addition of a negative wording factor improved model fit. These findings highlight the effects of differing methodologies in producing inconsistent HADS factor structures across studies. Further replication of model fit across samples and refinement of the HADS items is warranted.     

Higher‐Order Factor Structures and Intercorrelations of the 16PF5 and FIRO‐B

This study investigated the intercorrelations and the independent and combined factor structures of the Sixteen Personality Factor Questionnaire Fifth Edition (16PF5) and the Fundamental Interpersonal Orientation‐Behaviour Scale (FIRO‐B). Four thousand four hundred and fourteen U.S. participants completed these measures as part of executive assessments between 1994 and 2003. Exploratory factor analyses supported the five‐factor higher‐order structure of the 16PF5; however, the three‐component structure for the FIRO‐B was not supported. A six‐factor structure was found to underlie the variance in the measures in combination. Five of these were close to the 16PF5 higher‐order structure, but a sixth factor labelled Social Independence also emerged. This new factor consisted of the 16PF5 primaries of Liveliness and Social Boldness, and the FIRO‐B Wanted Control scale.     

A factorial study of the reasoning and closure factors

A battery of 46 tests was given to 237 college men. A factor analysis using the Thurstone technique revealed eight clearly interpretable first-order factors, one dubious factor, and a residual factor. The factors were interpreted as induction, deduction, flexibility of closure, speed of closure, space, verbal comprehension, word fluency, and number. Four second-order factors were abstracted from the matrix of first-order correlations. The presence of induction, deduction, and flexibility of closure on the first second-order factor, interpreted as an analytic factor, confirmed previous indications of relationships between the reasoning and closure factors. A second bipolar factor is interpreted as a speed of association factor. The third factor is interpreted as facility in handling meaningful verbal materials—perhaps an ability to do abstract thinking. The fourth factor is possibly a second-order closure factor—perhaps an ability to do concrete thinking.The author is grateful to Professor L. L. Thurstone for his encouragement and invaluable advice and for permission to use many tests originally prepared in the Psychometric Laboratory of the University of Chicago, to Mr. James Degan for assistance in rotations, and to the Social Science Research Committee of the University of Chicago for a grant to this study.     

Measures of invariance and comparability in factor analysis for fixed variables

New procedures are presented for measuring invariance and matching factors for fixed variables and for fixed or different subjects. Two of these, the coefficient of invariance for factor loadings and the coefficient of factor similarity, utilize factor scores computed from the different sets of factor loadings and one of the original standard score matrices. Another, the coefficient of subject invariance, is obtained by using one of the sets of factor loadings in conjunction with the different standard score matrices. These coefficients are correlations between factor scores of the appropriate matrices. When the best match of factors is desired, rather than degree of resemblance, the method of assignment is proposed.     

Structure and pragmatics of a self-theory of memory

Eight hundred ninety-three students completed statements from a questionnaire concerning their perceptions of their memory abilities. Twenty-nine memory domains and experiences, such as memory for smells or memory for names, were distributed across 60 statements in the questionnaire. A factor analysis yielded three meaningful factors: (1) a verbal memory factor, which included memory for names, trivia, and words; (2)a personal past memory factor, which included memory for childhood, dreams, painful experiences, and smells; and (3) an appointments factor, which included memory for appointments, personal articles, anniversaries, and so on. Factor scores from the first factor were used in two subsequent experiments: In one, factor scores correlated with performance on a trivia questionnaire; in the other, factor scores correlated with the amount of play money wagered in a twocontestant trivia quiz. Results of both studies suggested that attempts to validate the factors with behavioral measures would succeed. The framework of self-theory of memory was used in discussing the results and in suggesting directions for future inquiry.     

Oblique factors and components with independent clusters

Relationships between the results of factor analysis and component analysis are derived when oblique factors have independent clusters with equal variances of unique factors. The factor loadings are analytically shown to be smaller than the corresponding component loadings while the factor correlations are shown to be greater than the corresponding component correlations. The condition for the inequality of the factor/component contributions is derived in the case with different variances for unique factors. Further, the asymptotic standard errors of parameter estimates are obtained for a simplified model with the assumption of multivariate normality, which shows that the component loading estimate is more stable than the corresponding factor loading estimate.     

Piaget's data and spearman's theory—An empirical reconciliation and its implications for academic achievement

A hierarchical simple structure factor solution was obtained for item scores from a psychometrized battery of Piagetian-type tasks individually administered to 660 kindergarten children. At the first level of factors were the Piagetian theoretical entities of seriation, classification, conservation of number, and temporal and spatial reasoning, with numeration loading on seriation and classification as indicated by the theory. At the second level were two factors identified as Piaget's logicomathematical and infralogical operations. A third-level factor was identified as a g factor. The association of the Piagetian-type tasks with kindergarden and first grade academic achievement was through the third-level g factor. The second-level factors appeared to be similar to Vernon's k:m and v:ed but, like the first level factors, made no important contribution to predicted achievement above that contributed by the g factor. A socioeconomic factor made no unique contribution to predicted first grade achievement. It was concluded that the Piagetian concrete operations variables have no unique role in the prediction of kindergarten or first grade academic achievement.