Perceptual grouping and attention: Not all groupings are equal

We examined grouping under inattention using Driver, Davis, Russell, Turatto, & Freeman’s (2001) method. On each trial, two successive displays were briefly presented, each comprising a central target square surrounded by elements. The task was to judge whether the two targets were the same or different. The organization of the background elements stayed the same or changed, independently of the targets. In different conditions, background elements grouped into columns/rows by color similarity, a shape (a triangle/arrow, a square/cross, or a vertical/horizontal line) by color similarity, and a shape with no other elements in the background. We measured the influence of the background on the target same-different judgments. The results imply that background elements grouped into columns/rows by color similarity and into a shape when no segregation from other elements was involved and the shape was relatively “good.” In contrast, no background grouping was observed when resolving figure-ground relations for segregated units was required, as in grouping into a shape by color similarity. These results suggest that grouping is a multiplicity of processes that vary in their attentional demands. Regardless of attentional demands, the products of grouping are not available to awareness without attention.     

Raising argument strength using negative evidence: a constraint on models of induction

Both intuitively, and according to similarity-based theories of induction, relevant evidence raises argument strength when it is positive and lowers it when it is negative. In three experiments, we tested the hypothesis that argument strength can actually increase when negative evidence is introduced. Two kinds of argument were compared through forced choice or sequential evaluation: single positive arguments (e.g., “Shostakovich’s music causes alpha waves in the brain; therefore, Bach’s music causes alpha waves in the brain”) and double mixed arguments (e.g., “Shostakovich’s music causes alpha waves in the brain, X’s music DOES NOT; therefore, Bach’s music causes alpha waves in the brain”). Negative evidence in the second premise lowered credence when it applied to an item X from the same subcategory (e.g., Haydn) and raised it when it applied to a different subcategory (e.g., AC/DC). The results constitute a new constraint on models of induction.     

The Development of the Santa Clara Brief Compassion Scale: An Abbreviation of Sprecher and Fehr’s Compassionate Love Scale

This purpose of this study is to develop a brief version of Sprecher and Fehr’s Compassionate Love Scale (2005). This was accomplished by administering the 21-item scale to college student participants and subsequently selecting five items for a brief version. The five items were selected based on the evaluation of high correlation coefficients between individual item responses and the overall total 21 questions from the original scale, the results of factor analysis, and items that had moderate means and high standard deviations. The correlation between the original and brief version is 0.96, while the internal reliability of the brief version, using Cronbach’s alpha, is 0.90.     

Applying the permutation test to factorial designs

The permutation test follows directly from the procedure in a comparative experiment, does not depend on a known distribution for error, and is sometimes more sensitive to real effects than are the corresponding parametric tests. Despite its advantages, the permutation test is seldom (if ever) applied to factorial designs because of the computational load that they impose. We propose two methods to limit the computation load. We show, first, that orthogonal contrasts limit the computational load and, second, that when combined with Gill’s (2007) algorithm, the factorial permutation test is both practical and efficient. For within-subjects designs, the factorial permutation test is equivalent to an ANOVA when the latter’s assumptions have been met. For between-subjects designs, the factorial test is conservative. Code to execute the routines described in this article may be downloaded from http://brm.psychonomic-journals.org/content/supplemental.     

CTTITEM: SAS macro and SPSS syntax for classical item analysis

This article describes the functions of a SAS macro and an SPSS syntax that produce common statistics for conventional item analysis including Cronbach’s alpha, item difficulty index (p-value or item mean), and item discrimination indices (D-index, point biserial and biserial correlations for dichotomous items and item-total correlation for polytomous items). These programs represent an improvement over the existing SAS and SPSS item analysis routines in terms of completeness and user-friendliness. To promote routine evaluations of item qualities in instrument development of any scale, the programs are available at no charge for interested users. The program codes along with a brief user’s manual that contains instructions and examples are downloadable from suen.ed.psu.edu/~pwlei/plei.htm.     

A robust approach for analyzing unbalanced factorial designs with fixed levels

The goal of this study was to investigate the performance of Hall’s transformation of the Brunner-Dette-Munk (BDM) and Welch-James (WJ) test statistics and Box-Cox’s data transformation in factorial designs when normality and variance homogeneity assumptions were violated separately and jointly. On the basis of unweighted marginal means, we performed a simulation study to explore the operating characteristics of the methods proposed for a variety of distributions with small sample sizes. Monte Carlo simulation results showed that when data were sampled from symmetric distributions, the error rates of the original BDM and WJ tests were scarcely affected by the lack of normality and homogeneity of variance. In contrast, when data were sampled from skewed distributions, the original BDM and WJ rates were not well controlled. Under such circumstances, the results clearly revealed that Hall’s transformation of the BDM and WJ tests provided generally better control of Type I error rates than did the same tests based on Box-Cox’s data transformation. Among all the methods considered in this study, we also found that Hall’s transformation of the BDM test yielded the best control of Type I errors, although it was often less powerful than either of the WJ tests when both approaches reasonably controlled the error rates.     

Statistical power in complex experimental designs

We show that power and sample size tables developed by Cohen (1988, pp. 289–354, 381–389) produce incorrect estimates for factorial designs: power is underestimated, and sample size is overestimated. The source of this bias is shrinkage in the implied value of the noncentrality parameter, λ, caused by using Cohen’s adjustment ton for factorial designs (pp. 365 and 396). The adjustment was intended to compensate for differences in the actual versus presumed (by the tables) error degrees of freedom; however, more accurate estimates are obtained if the tables are used without adjustment. The problems with Cohen’s procedure were discovered while testing subroutines in DATASIM 1.2 for computing power and sample size in completely randomized, randomized-blocks, and split-plot factorial designs. The subroutines give the user the ability to generate power and sample size tables that are as easy to use as Cohen’s, but that eliminate the conservative bias of his tables. We also implemented several improvements relative to “manual” use of Cohen’s tables: (1) Since the user can control the specific values of 1- β,n, andf used on the rows and columns of the table, interpolation is never required; (2) exact as opposed to approximate solutions for the noncentralF distribution are employed; (3) solutions for factorial designs, including those with repeated measures factors, take into account the actual error degrees of freedom for the effect being tested; and (4) provision is made for the computation of power for applications involving the doubly noncentralF distribution.     

Parents of Adolescents with Mental Disorders: Improving Their Caregiving Experience

Several studies have demonstrated that the family members of adolescents with mental diseases experience distress, anxiety and depression, as well as economic strain, all of which contribute to physical and psychological caregiver morbidity. The aim of this study was to assess the effectiveness of intervention to improve the caregiving experience of the parents of mentally ill adolescents. The parents of 20 patients were assessed with the Experience of Caregiving Inventory (ECI) and the Working Alliance Inventory (WAI), while patients’ functioning and psychopathology were evaluated with the Global Assessment of Functioning (GAF) scale and the Child Behavior Check List (CBCL), respectively. Assessments were conducted over 9 months, comparing the experimental group receiving the intervention with a control group that received “standard” care. While there were no significant differences in the patients’ psychopathologies, the caregivers in the experimental group had better ECI and WAI scores. Intervention focusing on the parents seemed to improve the caregivers’ understanding of the disease’s impact on their lives irrespective of the severity of their children’s condition. This finding may be useful in developing adequate measures for the parents of adolescents with severe mental diseases to help contain their psychological distress.     

Quality of Life in Pediatric Cancer Patients: The Relationships Among Parents’ Characteristics,Children’s Characteristics,and Informant Concordance

As advancements in the treatment of childhood cancer have resulted in increasing survival rates, the psychosocial functioning of child patients has become an increasingly important issue. In this pilot study, we investigate the relationships among parents’ characteristics, children’s characteristics, and the quality of life experienced by children who are diagnosed with cancer. Forty-seven mothers, sixteen fathers, and nineteen children completed measures about their own psychological functioning as well as measures about the children’s quality of life. Mothers’ ratings of their children’s quality of life were correlated positively with the ratings provided by both fathers and the children themselves. In addition, significant relationships were found between mothers’ depression and parenting stress and children’s quality of life as well as between mothers’ and fathers’ anxiety and children’s quality of life. Finally, using regression analyses, mothers’, fathers’, and children’s ratings of their own characteristics predicted significantly their ratings of the children’s quality of life. The importance of examining the psychological characteristics of family members when assessing the quality of life of children who are diagnosed with cancer is discussed.     

Initial Development and Validation of the Multidimensional Students’ Life Satisfaction Scale–Adolescent Version

The factor structure of a new self-report scale, the Multidimensional Students’ Life Satisfaction Scale–Adolescent version, was examined. Reliability and 2-week stability estimates of the domain scores and total score were calculated. Relationships of the domain and total scores with other well-being measures were examined as well as the impact of social desirability responding. Although additional development is necessary, results provided preliminary psychometric support for the MSLSS–A for research purposes.The usefulness of life satisfaction measures vis-à-vis the positive psychology movement (Seligman and Csikzentmihalyi, American Psychologist, 55(1): 5-14, 2000) is highlighted.     

Identification,Reflection, And Correlation: Problems In The Bases Of Repertory Grid Measures

Repertory grids, deriving from George Kelly's personal construct theory, have been used to provide measures of a number of personality and cognitive variables. Several of these grid measures, such as the identification index, some measures of cognitive complexity, and other indices extracted from factor analyses of grids, are based on correlations between the columns (elements) of the grid data matrix. These measures are problematic and unstable because the intercolumn correlations depend on the direction of scoring across each of the matrix rows (constructs). This direction is not guided by explicit or theoretically justified rules and appears to be arbitrary and inconsistent between researchers. Also, correlation is a poor measure of element similarity, the basis of the identification measure. The importance of the valuating aspect of construing may provide a basis for the standardization of scoring. And scoring from the valued pole of a construct may help bring stability and meaning to the correlation-based measures.     

Cronbach's Alpha: Review of Limitations and Associated Recommendations

This paper discusses the limitations of Cronbach's alpha as a sole index of reliability, showing how Cronbach's alpha is analytically handicapped to capture important measurement errors and scale dimensionality, and how it is not invariant under variations of scale length, interitem correlation, and sample characteristics. In addition, the limitations and strengths of several recommendations on how to ameliorate these problems were critically reviewed. It was shown that the reliance on Cronbach's alpha as a sole index of reliability is no longer sufficiently warranted. This requires that other indices of internal consistency be reported along with alpha coefficient, and that when a scale is composed of large number of items, factor analysis should be performed, and appropriate internal consistency estimation method applied. This approach, if adopted, will largely minimize and guard against uncritical use of Cronbach's alpha coefficient.     

Translation and Standardization of the Sex-Role Egalitarianism Scale (SRES-B) on a German Sample

This study presents a German-language version of the sex-role egalitarianism scale (SRES-B) L. A. King, & D. W. King, 1993]. The SRES measures a person’s attitude toward egalitarianism between women and men. It has been normed on different populations, but there was no German version of the scale. The purpose of the present study was to translate and assess the psychometric properties of the SRES-B on a German population (n=379). As expected, sex, age, and educational level affected the scores of individuals on the scale. The results of factor analyses of the domain scores and correlations of subscales demonstrate a unidimensionality of the construct. The quality of the psychometric properties of items and scale was satisfactory. Implications and future directions for research are discussed.The research was conducted as part of the author’s master thesis, while at the University of Osnabrueck, Germany.     

The Physical Appearance Perfectionism Scale: Development and Preliminary Validation

Eight studies with data from 2316 students are presented describing the development and preliminary validation of the Physical Appearance Perfectionism Scale (PAPS), a brief measure with two subscales: Worry About Imperfection and Hope For Perfection. Results from exploratory and confirmatory factor analyses confirmed the measure’s two-dimensional structure. Moreover, correlation analyses provided first evidence for the two subscales’ differential validity: Worry About Imperfection showed negative correlations with positive self-perceptions of one’s appearance (e.g., appearance self-esteem) and positive correlations with maladaptive concerns aspects of perfectionism, physical appearance concerns (e.g., body image disturbances), and body weight control whereas Hope For Perfection showed positive correlations with positive striving aspects of perfectionism, positive self-perceptions, and impression management. In addition, all PAPS scores showed high reliability (Cronbach’s alpha) and temporal stability (test-retest). Overall the findings suggest that the PAPS is a reliable and valid instrument to assess positive and negative aspects of physical appearance perfectionism.     

SAS and SPSS macros to calculate standardized Cronbach’s alpha using the upper bound of the phi coefficient for dichotomous items

Cronbach’s α is widely used in social science research to estimate the internal consistency of reliability of a measurement scale. However, when items are not strictly parallel, the Cronbach’s α coefficient provides a lower-bound estimate of true reliability, and this estimate may be further biased downward when items are dichotomous. The estimation of standardized Cronbach’s α for a scale with dichotomous items can be improved by using the upper bound of coefficient ϕ. SAS and SPSS macros have been developed in this article to obtain standardized Cronbach’s α via this method. The simulation analysis showed that Cronbach’s α from upper-bound ϕ might be appropriate for estimating the real reliability when standardized Cronbach’s α is problematic.     

Workload capacity spaces: A unified methodology for response time measures of efficiency as workload is varied

Increasing the number of available sources of information may impair or facilitate performance, depending on the capacity of the processing system. Tests performed on response time distributions are proving to be useful tools in determining the workload capacity (as well as other properties) of cognitive systems. In this article, we develop a framework and relevant mathematical formulae that represent different capacity assays (Miller’s race model bound, Grice’s bound, and Townsend’s capacity coefficient) in the same space. The new space allows a direct comparison between the distinct bounds and the capacity coefficient values and helps explicate the relationships among the different measures. An analogous common space is proposed for the AND paradigm, relating the capacity index to the Colonius–Vorberg bounds. We illustrate the effectiveness of the unified spaces by presenting data from two simulated models (standard parallel, coactive) and a prototypical visual detection experiment. A conversion table for the unified spaces is provided.     

Regulatory focus and message framing: A test of three accounts

A review of previous literature shows that there are at least three ways in which regulatory focus may be related to message framing. Specifically, persuasion might be enhanced when there is a match between a person’s regulatory focus and (a) the outcome focus of the message (i.e., gain vs. loss anchor); (b) the overall valence of the message (i.e., positive vs. negative valence); and (c) the type of benefit or harm emphasized (i.e., achievement vs. security). In an effort to explicitly compare and contrast these three possibilities, and to determine whether the results depend on the way regulatory focus is measured, we used a 2 (outcome focus) by 2 (overall valence) by 2 (type of benefit or harm emphasized) within-subjects factorial design and three commonly employed measures of regulatory focus to test the three accounts. The findings were most consistent with the hypothesis that the perceived persuasiveness of a message is increased when there is a match between a person’s chronic regulatory focus and the overall valence of the message.     

Neuroticism: how does one slice the PI(e)?

Costa and McCrae's operationalization of the Five-Factor Model, the Neuroticism, Extraversion, and Openness Personality Inventory—Revised (NEO-PI-R; Costa and McCrae, 1992a), measures five broad dimensions of personality: Neuroticism, Extraversion, Openness, Agreeableness, and Conscientiousness. According to Costa and McCrae, the Neuroticism (N) domain scale subsumes six facets. Although derived rationally and tested factor analytically, the factorial structure of the facet scales has yet to be unequivocally confirmed with analytic methods imposed at the item level. Using confirmatory and exploratory factor-analytic techniques, this study examines and tests the structure of the N domain scale of the NEO-PI-R. Confirmatory factor analysis indicates poor replication of the structure of the N scale. Results of the exploratory factor analysis indicate that while three of the facets replicated quite well, the other three factors did not correspond to Costa and McCrae's formulation. Future research should elaborate on the factorial structure and construct validity of the N facet scales, especially if they are to be used and interpreted in personality and clinical assessment. © 1997 by John Wiley & Sons, Ltd.     

Development and validation of a scale to measure beliefs about women managers

This paper presents preliminary evidence on the internal consistency and validity of a scale designed to measure the degree to which one believes women managers experience a greater number of obstacles and more critical judgments about their work performance as compared to managerial men (the Stereotype Beliefs about Women Managers scale; SBWMS). Survey data from 1,337 managerial and nonmanagerial men and women employed by a large manufacturing organization revealed that the 6-item scale possessed a single factor. Significant mean group differences and correlations between the SBWMS and a number of organizationallyrelevant measures provide good preliminary support for the scale’s validity.     

Development and validation of a scale to measure beliefs about women managers

This paper presents preliminary evidence on the internal consistency and validity of a scale designed to measure the degree to which one believes women managers experience a greater number of obstacles and more critical judgments about their work performance as compared to managerial men (the Stereotype Beliefs about Women Managers scale; SBWMS). Survey data from 1,337 managerial and nonmanagerial men and women employed by a large manufacturing organization revealed that the 6-item scale possessed a single factor. Significant mean group differences and correlations between the SBWMS and a number of organizationallyrelevant measures provide good preliminary support for the scale’s validity.