Estimating standardized linear contrasts of means with desired precision.

L. Wilkinson and the Task Force on Statistical Inference (1999) recommended reporting confidence intervals for measures of effect sizes. If the sample size is too small, the confidence interval may be too wide to provide meaningful information. Recently, K. Kelley and J. R. Rausch (2006) used an iterative approach to computer-generate tables of sample size requirements for a standardized difference between 2 means in between-subjects designs. Sample size formulas are derived here for general standardized linear contrasts of k ≥ 2 means for both between-subjects designs and within-subjects designs. Special sample size formulas also are derived for the standardizer proposed by G. V. Glass (1976). (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

Meta-analytic interval estimation for bivariate correlations.

The currently available meta-analytic methods for correlations have restrictive assumptions. The fixed-effects methods assume equal population correlations and exhibit poor performance under correlation heterogeneity. The random-effects methods do not assume correlation homogeneity but are based on an equally unrealistic assumption that the selected studies are a random sample from a well-defined superpopulation of study populations. The random-effects methods can accommodate correlation heterogeneity, but these methods do not perform properly in typical applications where the studies are nonrandomly selected. A new fixed-effects meta-analytic confidence interval for bivariate correlations is proposed that is easy to compute and performs well under correlation heterogeneity and nonrandomly selected studies. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

The failure analyses on ZnO varistors used in high tension devices

The main purpose of this work is to evaluate the failure caused by electrical discharge on commercial ZnO varistor doped with oxide of Bi, Sb, Si, Cr, Co utilized in electric transmission systems. In order to observe the effect of electrical discharge over the microstructure and electrical properties of the varistors, two kinds of pulses were applied: long pulse (2000 ms) and short pulse (8/20 μs). In both cases, a decrease in grain size and increase in micropores and leakage current were observed. The degraded samples present oxygen defficiency mainly in the grain boundary and phase tranformation from the bismuth oxide phase.     

The role of pleasantness and activation-based well-being in performance prediction.

Examined the relationships between 2 measures of psychological well-being and work performance using the circumplex model of emotion as the theoretical framework. 62 criminal justice staff personnel (aged 22–57 yrs) from a city agency located in a large metropolitan areas participated. Although the pleasantness-based measure of well-being predicted subsequent work performance, the results failed to establish a relationship between the activation-based measure of well-being and work performance. Future directions and implications of the findings regarding the further refinement of the role of psychological well-being in performance prediction are introduced. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

Statistical inference for a linear function of medians: Confidence intervals, hypothesis testing, and sample size requirements.

When the distribution of the response variable is skewed, the population median may be a more meaningful measure of centrality than the population mean, and when the population distribution of the response variable has heavy tails, the sample median may be a more efficient estimator of centrality than the sample mean. The authors propose a confidence interval for a general linear function of population medians. Linear functions have many important special cases including pairwise comparisons, main effects, interaction effects, simple main effects, curvature, and slope. The confidence interval can be used to test 2-sided directional hypotheses and finite interval hypotheses. Sample size formulas are given for both interval estimation and hypothesis testing problems. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

Development and validation of a Coping with Discrimination Scale: Factor structure, reliability, and validity.

Four studies were conducted to develop and validate the Coping With Discrimination Scale (CDS). In Study 1, an exploratory factor analysis (N = 328) identified 5 factors: Education/Advocacy, Internalization, Drug and Alcohol Use, Resistance, and Detachment, with internal consistency reliability estimates ranging from .72 to .90. In Study 2, a confirmatory factor analysis (N = 328) provided cross-validation of the 5-factor model as well as evidence for validity of the scale. The validity evidence was similar across racial groups and for males and females. In Study 3, the estimated 2-week test–retest reliabilities (N = 53) were between .48 and .85 for the 5 factors. Education/Advocacy, Internalization, Drug and Alcohol Use, and Detachment were positively associated with active coping, self-blame, substance use, and behavioral disengagement, respectively, providing further support for validity of the CDS. Finally, incremental validity evidence was obtained in Study 4 (N = 220), where it was shown that the CDS explained variance in outcome variables (i.e., depression, life satisfaction, self-esteem, and ethnic identity) that could not be explained by general coping strategies. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

Transforming odds ratios into correlations for meta-analytic research.

Comments on an article by Block and Crain (see record 2007-04834-015) in which they stated, "There is no data transformation that converts an odds ratio or relative risk into a correlation. One needs more data". The purpose of this comment is to explain how an odds ratio or relative risk can be transformed to approximate a product-moment correlation. Such transformations have important applications in meta-analytic research. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

Androstenol, a putative human pheromone, affects human (Homo sapiens) male choice performance.

A natural secretion, 5α-androst-16-en-3α-ol (androstenol) is speculated to function as a spacing pheromone. The effect of the odor of androstenol on restroom-stall choices was investigated over a 5-week period. The first, third, and fifth weeks served as baseline against which the effect of androstenol or a control odor, 3α-hydroxy-5αndrostan-17-one (androsterone) could be evaluated. During the second and fourth weeks, half of the stalls in each restroom were treated with androstenol or androsterone, respectively. As predicted, men avoided the treated stalls during the androstenol week only, and neither odor affected female stall selection, demonstrating a sex differential influence of the experimental odor. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

Varying coefficient meta-analytic methods for alpha reliability.

The conventional fixed-effects (FE) and random-effects (RE) confidence intervals that are used to assess the average alpha reliability across multiple studies have serious limitations. The FE method, which is based on a constant coefficient model, assumes equal reliability coefficients across studies and breaks down under minor violations of this assumption. The RE method, which is based on a random coefficient model, assumes that the selected studies are a random sample from a normally distributed superpopulation. The RE method performs poorly in typical meta-analytic applications where the studies have not been randomly sampled from a normally distributed superpopulation or have been randomly sampled from a nonnormal superpopulation. A new confidence interval for the average reliability coefficient of a specific measurement scale is based on a varying coefficient statistical model and is shown to perform well under realistic conditions of reliability heterogeneity and nonrandom sampling of studies. New methods are proposed for assessing reliability moderator effects. The proposed methods are especially useful in meta-analyses that involve a small number of carefully selected studies for the purpose of obtaining a more accurate reliability estimate or to detect factors that moderate the reliability of a scale. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

The moderating role of employee positive well being on the relation between job satisfaction and job performance.

This research provides further clarification to the age-old quest to better understand the happy/productive worker thesis. Using data from 109 managers employed by a large (over 5000 employees) customer services organization on the West Coast of the United States, both job satisfaction (r = .36, p