A multidimensional measure of neighboring

The study reports the development of a short and easily administered questionnaire aiming at measuring dimensions of social life within neighborhoods. Principal-components analysis consistently extracted four factors replicated in three independent samples (N=96 to 1,060). The factors emerged as theoretically meaningful dimensions tapping the concepts of supportive acts of neighboring, neighbor annoyance, neighborhood attachment, and weak social ties. Factor invariance and factor replicability were high. Internal consistency, test-retest reliability, and construct validity yielded acceptable results. The principal virtue of the measure is that it may be applied to discern qualitative differences between neighborhoods by simultaneous assessments of several dimensions of neighboring. This research was financially supported by The Norwegian National Research Council. We thank Jostein Rise for valuable comments, and David R. Jacobs, Jr., and Melanie Young for advice in translating the questionnaire.     

纪念斯皮尔曼教授50周年忌辰

去年是斯皮尔曼教授逝世 5 0周年 ,英国数学与统计心理学报出了纪念专号。但少数人趁机掀起了学派之争 ,特别是洛菲二人的《谁是斯皮尔曼等级相关的发明人》和《斯皮尔曼和威尔逊论因素不决定性》。本文就两个洛菲对斯皮尔曼的污蔑 ,作了针锋相对的反击 ,特别是对等级相关 ,详尽地阐明了斯皮尔曼的特殊贡献 ,并对桑代克的评价作了较详细的介绍。对巴塞洛缪有关因素的起源与发展 ,和利维有关斯皮尔曼对测验的贡献 ,则简单概括了他们的结论与评价。最后则对专刊不由英国心理学报举办感到遗憾 ,因为这样只能侧重方法论的讨论 ,认为对斯皮尔曼智力理论、认知原理完全不提是舍本逐末 ,以致许多斯皮尔曼的特出贡献都无法表达。这意味着英国心理学界对他的冷漠 ,无从光大其有价值的贡献。     

The Social Phobia and Social Interaction Anxiety Scales: Evaluation of Psychometric Properties

The present investigations examined the factor structure and psychometric properties of two new self-report measures of social phobia, the Social Interaction Anxiety Scale (SIAS) and the Social Phobia Scale (SPS). A confirmatory factor analysis in Study I provided support for the fit of a two-factor model of the SIAS and SPS. Internal consistency estimates were high for the original two scales with a sample of 200 undergraduates. Also, using an item parceling procedure, the obtained internal consistency reliability indices for each parcel were acceptable. Results of the CFA in Study II provided support for the factorial stability of the model identified in Study I. Furthermore, multisample analyses showed invariant patterns for factor loadings and factor correlations across 138 men and 272 women. Gender differences were not observed in the mean SIAS and SPS scale and item scores. Both scales correlated negatively and significantly with measures of social desirability. Concurrent validity was established for the scales. The SPS was less specific than the SIAS to symptoms of social phobia.     

Assessing local influence for specific restricted likelihood: Application to factor analysis

In restricted statistical models, since the first derivatives of the likelihood displacement are often nonzero, the commonly adopted formulation for local influence analysis is not appropriate. However, there are two kinds of model restrictions in which the first derivatives of the likelihood displacement are still zero. General formulas for assessing local influence under these restrictions are derived and applied to factor analysis as the usually used restriction in factor analysis satisfies the conditions. Various influence schemes are introduced and a comparison to the influence function approach is discussed. It is also shown that local influence for factor analysis is invariant to the scale of the data and is independent of the rotation of the factor loadings. The authors are most grateful to the referees, the Associate Editor, and the Editor for helpful suggestions for improving the clarity of the paper.     

Constructing a covariance matrix that yields a specified minimizer and a specified minimum discrepancy function value

A method is presented for constructing a covariance matrix Σ*₀ that is the sum of a matrix Σ(γ₀) that satisfies a specified model and a perturbation matrix,E, such that Σ*₀=Σ(γ0) +E. The perturbation matrix is chosen in such a manner that a class of discrepancy functionsF(Σ*₀, Σ(γ₀)), which includes normal theory maximum likelihood as a special case, has the prespecified parameter value γ₀ as minimizer and a prespecified minimum δ A matrix constructed in this way seems particularly valuable for Monte Carlo experiments as the covariance matrix for a population in which the model does not hold exactly. This may be a more realistic conceptualization in many instances. An example is presented in which this procedure is employed to generate a covariance matrix among nonnormal, ordered categorical variables which is then used to study the performance of a factor analysis estimator. We are grateful to Alexander Shapiro for suggesting the proof of the solution in section 2.     

Full-information item bi-factor analysis

A plausibles-factor solution for many types of psychological and educational tests is one that exhibits a general factor ands − 1 group or method related factors. The bi-factor solution results from the constraint that each item has a nonzero loading on the primary dimension and at most one of thes − 1 group factors. This paper derives a bi-factor item-response model for binary response data. In marginal maximum likelihood estimation of item parameters, the bi-factor restriction leads to a major simplification of likelihood equations and (a) permits analysis of models with large numbers of group factors; (b) permits conditional dependence within identified subsets of items; and (c) provides more parsimonious factor solutions than an unrestricted full-information item factor analysis in some cases. Supported by the Cognitive Science Program, Office of Naval Research, Under grant #N00014-89-J-1104. We would like to thank Darrell Bock for several helpful suggestions.     

The beck anxiety inventory: Psychometric properties in a community population

This study presents data on the norms and psychometric properties of the Beck Anxiety Inventory (BAI), using a sample of 225 community adult volunteers. Maximum-likelihood confirmatory factor analyses of previously published models of the BAI: a two-factor model and a five-factor model, showed that the fit of each model was unacceptable. Also, the fit of the single-factor model was poor. Exploratory principal-components analyses with varimax and oblique rotations suggested four BAI components within this sample. Satisfactory levels of reliability were established for the BAI subscales. Finally, the relations between the BAI total and subscale scores and a related measure of anxiety and with another self-report measure of psychological distress were examined.This paper was presented at the 27th Annual Convention of the Association for Advancement of Behavior Therapy, Atlanta, Georgia, November 1993.     

Exploratory Factor Analysis: A Users’Guide

In 1978, Comrey wrote a guide to factor analysis in the Journal of Consulting and Clinical Psychology. This paper provides an update of the information given by Comrey in relation to exploratory factor analysis (EFA) for work and organizational psychologists, and particularly those involved with test development, interpretation and validation. In doing so, it offers a user's guide to contemporary methods and available techniques and introduces heuristics for dealing with problems of skew and kurtosis, social desirability response set, and factor naming.     

The psychopathology of anorexia nervosa: A factor analytic investigation

To examine the psychopathology of anorexia nervosa, behavioral assessment measures sampling a wide range of relevant constructs were collected on 150 women diagnosed as having anorexia nervosa. The data were subjected to an exploratory factor analysis using maximum-likelihood estimation and oblique rotation. Five factors were extracted, which were titled Fasting and Restrictive Eating, Depression, Anxiety, and Negative Self-image, Bulimic Behaviors, Fear of Fatness/Body Image Disturbance, and Impulsive Behavior/Post-Traumatic Response. Discriminate function analysis suggested that, other than the bulimic behaviors factor, the Impulsive Behavior/Post-Traumatic Response factor best discriminated between bulimic and restrictor subtypes of anorexics. These data suggest that the underlying dimensions of anorexia nervosa are very similar to those of bulimia nervosa. The findings also have implications for the multidimensional assessment and treatment of anorexia nervosa as well as conceptual models of the disorder.