A study of algorithms for covariance structure analysis with specific comparisons using factor analysis

Several algorithms for covariance structure analysis are considered in addition to the Fletcher-Powell algorithm. These include the Gauss-Newton, Newton-Raphson, Fisher Scoring, and Fletcher-Reeves algorithms. Two methods of estimation are considered, maximum likelihood and weighted least squares. It is shown that the Gauss-Newton algorithm which in standard form produces weighted least squares estimates can, in iteratively reweighted form, produce maximum likelihood estimates as well. Previously unavailable standard error estimates to be used in conjunction with the Fletcher-Reeves algorithm are derived. Finally all the algorithms are applied to a number of maximum likelihood and weighted least squares factor analysis problems to compare the estimates and the standard errors produced. The algorithms appear to give satisfactory estimates but there are serious discrepancies in the standard errors. Because it is robust to poor starting values, converges rapidly and conveniently produces consistent standard errors for both maximum likelihood and weighted least squares problems, the Gauss-Newton algorithm represents an attractive alternative for at least some covariance structure analyses.Work by the first author has been supported in part by Grant No. Da01070 from the U. S. Public Health Service. Work by the second author has been supported in part by Grant No. MCS 77-02121 from the National Science Foundation.     

家长对子女人格特点的自由描述──中国儿童样本对“大五”人格结构的验证

运用与荷兰、美国等国的跨文化研究组相同的访谈和编码方法,对我国北京和福州两个城市共４１０位的３至１２岁儿童的家长进行了访谈,目的是从自然语言途径,探讨我国儿童的人格特点,并将结果与国外同样研究进行跨文化比较。结果表明：本样本儿童的人格特点可以运用成人“五因素模型”进行解释。并且,中国家长提供的自由描述完全可以纳入美国和荷兰研究组设计的“１４概念”编码系统。与其他国家的结果相比．中国家长对于“谨慎性”概念的重视程度远高于美国、荷兰和比利时儿童的家长,表现出显著的文化差异。此外,中国家长对于孩子“智力”问题的注意多于西方国家的家长,但对孩子在“宜人性”概念上的描述则最少。     

Toward a Model of Neuropsychological Activity

The main purpose of this research was to establish the intercorrelations existing among different psychological and neuropsychological test scores in a normal and homogenous population. A second purpose was to attempt further step in the component analysis of cognitive activity measured by means of neuropsychological tests. A comprehensive neuropsychological test battery was assembled and individually administered to a 300-subject sample, aged 17–25 years-old. All of them were right-handed male university students. The battery included some basic neuropsychological tests directed to assess language, calculation abilities, spatial cognition, praxic abilities, memory, perceptual abilities, and executive functions. In addition, the Wechsler Adult Intelligence Scale was administered. Forty-one different scores were calculated. Correlations among the different test scores were analyzed. It was found that some of the tests presented a quite complex intecorrelation system, whereas other tests presented few or no significant correlations. Mathematical ability tests and orthography knowledge represented the best predictors of Full Scale IQ. A factor analysis with varimax rotation disclosed five factors (verbal, visuoperceptual, executive function, fine movements, and memory) accounting for 63.6% of the total variance. Implications of these results for a neuropsychological model about brain organization of cognition were analyzed.     

The significance and future of functional analysis methodologies

Iwata, Dorsey, Slifer, Bauman, and Richman (1982) presented the first comprehensive and standardized methodology for identifying operant functions of aberrant behavior. This essay discusses the significance functional analysis has had for applied behavior analysis. The methodology has lessened the field's reliance on default technologies and promoted analysis of environment-behavior interactions maintaining target responses as the basis for selecting treatments. It has also contributed to the integration of basic and applied research. Future directions for this research are suggested.     

Theoretical and empirical dissociations between the Dark Factor of Personality and low Honesty-Humility

Recent research suggests that the common core of all aversive traits can be understood through the Dark Factor of Personality (D). Previously, the overlap among aversive traits has also been described as the low pole of HEXACO Honesty-Humility. Relying on longitudinal data and a range of theoretically derived outcome criteria, we test in four studies (total N > 2,500) whether and how D and low Honesty-Humility differ. Although the constructs shared around 66% of variance (meta-analytically aggregated across all studies), they longitudinally differently accounted for diverse aversive traits and showed theoretically meaningful and distinct associations to pretentiousness, distrust-related beliefs, and empathy. These results suggest that D and low Honesty-Humility are best understood as strongly overlapping, yet functionally different and nomologically distinct constructs.     

Scarecrow,Tin Woodsman,and Cowardly Lion: The three-factor model of virtue

Recent research has identified three virtues from the 24 strengths in the VIA Classification of Strengths and Virtues, labeled caring, inquisitiveness, and self-control. This article explored this model further. Study 1 demonstrated substantial congruence in three-factor loadings across 12 samples (total N = 1,082,230) despite substantial differences in methodology. Study 2 (N = 1719) provided support for the use of aggregate scores for the three virtues. Study 3 (N = 498) demonstrated substantial overlap between measures of personality and the virtues. We conclude these three are potentially essential components of a theory of virtue. They cannot be considered a sufficient model, which may be unattainable. We also note that treating virtue as an individual difference concept neglects key elements of our understanding of virtue as a social construct, and these more amorphous elements must be considered in developing an optimal model of virtue.     

Self-Other Differentiation Scale: Dimensionality,IRT Parameterization,and Measurement Invariance

The Self-Other Differentiation Scale (Olver, Aries, &; Batgos, 1989 Olver, R. R., Aries, E., &; Batgos, J. (1989). Self-other differentiation and the mother-child relationship: The effects of sex and birth order. The Journal of Genetic Psychology, 150, 311–321. doi:10.1080/00221325.1989.9914600[Taylor &; Francis Online] , [Google Scholar]) is a self-report instrument assessing the experience of a separate sense of self from others. The authors aimed to examine its dimensionality, reliability, and measurement invariance across gender. It was completed by 348 participants (48% men) from 17 to 30 years old in Study 1, 348 participants (40% men) from 18 to 28 years old in Study 2, and 1,068 participants (49% men) from 17 to 28 years old in Study 3. The results supported the hypothesis of just one factor underlying the scale; they also showed an appropriate internal consistency and a partial measurement invariance across gender. Results also showed evidence for a 10-item version of the scale. Globally, the Self-Other Differentiation Scale can be considered a good scale to assess individual's sense of differentiation of one's own sense of self from others.     

Molar versus as a paradigm clash.

The molar view of behavior arose in response to the demonstrated inadequacy of explanations based on contiguity. Although Dinsmoor's (2001) modifications to two-factor theory render it irrefutable, a more basic criticism arises when we see that the molar and molecular views differ paradigmatically. The molar view has proven more productive.     

Bayesian inference for graphical factor analysis models

We generalize factor analysis models by allowing the concentration matrix of the residuals to have nonzero off-diagonal elements. The resulting model is named graphical factor analysis model. Allowing a structure of associations gives information about the correlation left unexplained by the unobserved variables, which can be used both in the confirmatory and exploratory context. We first present a sufficient condition for global identifiability of this class of models with a generic number of factors, thereby extending the results in Stanghellini (1997) and Vicard (2000). We then consider the issue of model comparison and show that fast local computations are possible for this purpose, if the conditional independence graphs on the residuals are restricted to be decomposable and a Bayesian approach is adopted. To achieve this aim, we propose a new reversible jump MCMC method to approximate the posterior probabilities of the considered models. We then study the evolution of political democracy in 75 developing countries based on eight measures of democracy in two different years. We acknowledge support from M.U.R.S.T. of Italy and from the European Science Foundation H.S.S.S. Network. We are grateful to the referees and the Editor for many useful suggestions and comments which led to a substantial improvement of the paper. We also thank Nanny Wermuth for stimulating discussions and Kenneth A. Bollen for kindly providing us with the data-set.     

The imposter phenomenon, achievement dispositions, and the five factor model

This study investigated the imposter phenomenon (IP) in relation to common achievement dispositions and the Five Factor Model (FFM). A total of 129 college students were administered measures of achievement including the Harvey Imposter Phenomenon, Cooperation, Debilitating Anxiety, Hypercompetitive Attitude, Personal Development Competition, and Self-handicapping scales, in addition to the NEO-PI-R. IP scores were related to all achievement constructs, but were best predicted by Fear of Failure (+) and Self-handicapping (+). Consistent with previous findings [Chae, J. H., Piedmont R., Estadt, B., & Wicks, R. (1995). Personal evaluation of Clance’s impostor phenomenon scale in a Korean sample. Journal of Personality Assessment, 65(3), 468–485.] the IP was related to Neuroticism (+), Extraversion (−), and Conscientiousness (−). However, Neuroticism accounted for the vast majority of variance in the FFM predicting IP scores. In addition, a pattern of correlations was found for the IP and facet scales of the NEO-PI-R that is highly similar to those reported by Chae et al. Taken together, these findings expand our understanding of the IP in achievement and confirm earlier findings for the FFM.