Emotion Regulation and Middle School Adjustment in Japanese Girls: Mediation by Perceived Social Support

Prior research has stated that successful emotion regulation (ER) contributes to psychological health and favorable interpersonal relationships. However, few studies have explored adaptive ER strategies in a school setting. The present study targeted Japanese female adolescents and examined the relationship between two specific ER strategies (reappraisal and suppression) and school adjustment, with social support as a mediating variable. Two hundred and seventy Japanese middle school girls completed measures of ER, perceived social support, and subjective school adjustment. The results showed that school adjustment was highest among reappraisers, followed by a balanced group who used both strategies with equal frequency, then suppressors. In addition, reappraisal showed both direct and indirect effects on school adjustment, while suppression showed only a negative indirect effect on school adjustment. Our findings suggest that reappraisal is an effective strategy that promotes receiving social support and consequently enhances school adjustment. Suppression, on the other hand, has neither favorable nor harmful impacts on school adjustment, but may, in the long run, result in poorer adjustment by impairing social relationships among adolescent girls.     

Prevalence of maladaptive behavior in retarded children as a function of IQ and age

One hundred and twentyeight mentally retarded children, ages 6 to 14, from a special school were assessed by teachers in terms of nine maladaptive behaviors. The results indicated that the prevalence of some maladaptive behaviors changed as a function of IQ and age, and that there were splits of such changes as IQ-dependent and as age-dependent by maladaptive behavior.     

Marginal maximum likelihood estimation of item response theory (IRT) equating coefficients for the common-examinee design

A method of estimating item response theory (IRT) equating coefficients by the common-examinee design with the assumption of the two-parameter logistic model is provided. The method uses the marginal maximum likelihood estimation, in which individual ability parameters in a common-examinee group are numerically integrated out. The abilities of the common examinees are assumed to follow a normal distribution but with an unknown mean and standard deviation on one of the two tests to be equated. The distribution parameters are jointly estimated with the equating coefficients. Further, the asymptotic standard errors of the estimates of the equating coefficients and the parameters for the ability distribution are given. Numerical examples are provided to show the accuracy of the method.     

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.     

An automatic recording system of the positional behavior of mice for experimental analysis

A device for automatic recording of a mouse positional behavior within a circular corridor-like cage is described. The animal’s position is successfully monitored by capacitor detection and its time spent at each position measured; the results are punched on the paper tape as binary coded numbers, and the data are processed off-line by a general-purpose computer.     

Diagnostic scale for evaluation of graduate-level teaching assistants

The TA Evaluator, 20 5-point ratings of the effectiveness of graduate teaching assistants, showed split-half reliability of .95. All 20 items loaded greater than .59 on a single iterative principal axis factor. Average for 10 items pairs was .55. Use in diagnosis and improvement will be undertaken.     

Higher-order approximations to the distributions of fit indexes under fixed alternatives in structural equation models

Higher-order approximations to the distributions of fit indexes for structural equation models under fixed alternative hypotheses are obtained in nonnormal samples as well as normal ones. The fit indexes include the normal-theory likelihood ratio chi-square statistic for a posited model, the corresponding statistic for the baseline model of uncorrelated observed variables, and various fit indexes as functions of these two statistics. The approximations are given by the Edgeworth expansions for the distributions of the fit indexes under arbitrary distributions. Numerical examples in normal and nonnormal samples with the asymptotic and simulated distributions of the fit indexes show the relative inappropriateness of the normal-theory approximation using noncentral chi-square distributions. A simulation for the confidence intervals of the fit indexes based on the normal-theory Studentized estimators under normality with a small sample size indicates an advantage for the approximation by the Cornish–Fisher expansion over those by the noncentral chi-square distribution and the asymptotic normality. The author is indebted to the reviewers for their comments and suggestions, which have led to the improvement of the previous versions of this paper. This work was partially supported by Grant-in-Aid for Scientific Research from the Japanese Ministry of Education, Culture, Sports, Science, and Technology.     

On an Unidentified Fixed-Effects Three-Parameter Logistic Model

For the fixed-effects three-parameter logistic model in item response theory, the necessary and sufficient condition of the model identification is presented synthesizing known results. An optimal transformation of parameters for model identification in Maris's unidentified case to remove or reduce the skewness of abilities is shown. In many cases, the vanishing skewnesses are obtained in the possible range of transformation for parameters with some improvements in the test response and information functions.     

Standard errors of fit indices using residuals in structural equation modeling

The asymptotic standard errors of the correlation residuals and Bentler's standardized residuals in covariance structures are derived based on the asymptotic covariance matrix of raw covariance residuals. Using these results, approximations of the asymptotic standard errors of the root mean square residuals for unstandardized or standardized residuals are derived by the delta method. Further, in mean structures, approximations of the asymptotic standard errors of residuals, standardized residuals and their summary statistics are derived in a similar manner. Simulations are carried out, which show that the asymptotic standard errors of the various types of residuals and the root mean square residuals in covariance, correlation and mean structures are close to actual ones.The author is indebted to the reviewers for their comments and suggestions which have led to an improvement of this work.