Anchor Selection Using the Wald Test Anchor-All-Test-All Procedure.

Methods for testing differential item functioning (DIF) require that the reference and focal groups are linked on a common scale using group-invariant anchor items. Several anchor-selection strategies have been introduced in an item response theory framework. However, popular strategies often utilize likelihood ratio testing with all-others-as-anchors that requires multiple model fittings.

How Item Residual Heterogeneity Affects Tests for Differential Item Functioning.

Differential item functioning (DIF) occurs when people with the same proficiency have different probabilities of giving a certain response to an item. The present study focused on an assumption implicit in popular methods for DIF testing that has received little attention in published literature (item residual homogeneity). The assumption is explained, a strategy for detecting violations of it (i.

Assessing the Straightforwardly-Worded Brief Fear of Negative Evaluation Scale for Differential Item Functioning Across Gender and Ethnicity.

The Brief Fear of Negative Evaluation Scale (BFNE; Leary , 9, 371-375, 1983) assesses fear and worry about receiving negative evaluation from others. Rodebaugh et al. , 169-181, (2004) found that the BFNE is composed of a reverse-worded factor (BFNE-R) and straightforwardly-worded factor (BFNE-S).

How bandwidth selection algorithms impact exploratory data analysis using kernel density estimation.

Exploratory data analysis (EDA) can reveal important features of underlying distributions, and these features often have an impact on inferences and conclusions drawn from data. Graphical analysis is central to EDA, and graphical representations of distributions often benefit from smoothing. A viable method of estimating and graphing the underlying density in EDA is kernel density estimation (KDE).

Evaluation of dominance-based ordinal multiple regression for variables with few categories.

Dominance-based ordinal multiple regression (DOR) is designed to answer ordinal questions about relationships among ordinal variables. Only one parameter per predictor is estimated, and the number of parameters is constant for any number of outcome levels. The majority of existing simulation evaluations of DOR use predictors that are continuous or ordinal with many categories, so the performance of the method is not well understood for ordinal variables with few categories.

Cross-ethnic measurement equivalence of measures of depression, social anxiety, and worry.

Although study of clinical phenomena in individuals from different ethnic backgrounds has improved over the years, African American and Asian American individuals continue to be underrepresented in research samples. Without adequate psychometric data about how questionnaires perform in individuals from different ethnic samples, findings from both within and across groups are arguably uninterpretable. Analyses based on item response theory (IRT) allow us to make fine-grained comparisons of the ways individuals from different ethnic groups respond to clinical measures.

Consistent Small-Sample Variances for Six Gamma-Family Measures of Ordinal Association.

Gamma-family measures are bivariate ordinal correlation measures that form a family because they all reduce to Goodman and Kruskal's gamma in the absence of ties (1954) . For several gamma-family indices, more than one variance estimator has been introduced. In previous research, the "consistent" variance estimator described by Cliff and colleagues produced more accurate confidence intervals (CIs) than 3 other types of variances.

Development and initial validation of an abbreviated Spider Phobia Questionnaire using item response theory.

An abbreviated Spider Phobia Questionnaire (SPQ) was developed using methods based in item response theory. Fifteen of the 31 SPQ items that demonstrated good to excellent discrimination along the spider fear continuum were retained in Study 1 that consisted of 1,555 nonclinical and clinical participants. The SPQ-15 demonstrated good internal consistency and correlated highly with the full SPQ.

Evaluation of MIMIC-Model Methods for DIF Testing With Comparison to Two-Group Analysis.

Differential item functioning (DIF) occurs when an item on a test or questionnaire has different measurement properties for 1 group of people versus another, irrespective of mean differences on the construct. This study focuses on the use of multiple-indicator multiple-cause (MIMIC) structural equation models for DIF testing, parameterized as item response models. The accuracy of these methods, and the sample size requirements, are not well established.

Illustration of MIMIC-Model DIF Testing with the Schedule for Nonadaptive and Adaptive Personality.

This research provides an example of testing for differential item functioning (DIF) using multiple indicator multiple cause (MIMIC) structural equation models. True/False items on five scales of the Schedule for Nonadaptive and Adaptive Personality (SNAP) were tested for uniform DIF in a sample of Air Force recruits with groups defined by gender and ethnicity. Uniform DIF exists when an item is more easily endorsed for one group than the other, controlling for group mean differences on the variable under study.

Detection of aberrant responding on a personality scale in a military sample: an application of evaluating person fit with two-level logistic regression.

Person-fit assessment is used to identify persons who respond aberrantly to a test or questionnaire. In this study, S. P.

Monte Carlo Evaluation of Two-Level Logistic Regression for Assessing Person Fit.

Person fit is the degree to which an item response model fits for individual examinees. Reise (2000) described how two-level logistic regression can be used to detect heterogeneity in person fit, evaluate potential predictors of person fit heterogeneity, and identify potentially aberrant individuals. The method has apparently never been applied to empirical data or evaluated in a simulation study.

Overdiagnosis and underdiagnosis of personality disorders in older adults.

Objective: Recent evidence suggests that some of the Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition personality disorder (PD) criteria contain measurement bias across age groups. Specifically, this research showed that younger and older adults were differentially likely to endorse certain PD criteria, even when both groups were statistically matched using mechanisms of item response theory (IRT) for degree of PD pathology. For the analyses presented here, the authors used data from a large epidemiological study (N = 43,093), the National Epidemiologic Survey on Alcohol and Related Conditions, to examine the influence of this item-level measurement bias for reaching accurate algorithmic PD diagnoses of older adults.

Model stability of the 15-item Geriatric Depression Scale across cognitive impairment and severe depression.

The 15-item Geriatric Depression Scale (GDS) is used in a wide variety of clinical and research settings. The study's purpose was to further establish the validity of the 15-item GDS by exploring the underlying factor structure in a healthy, nondemented sample of older adults and then analyzing whether this factor structure remained stable across a sample of demented individuals and a sample of individuals with a history of depression 6 months after discharge from an inpatient psychiatric setting. A 2-factor model fit the data best in the exploratory analyses.

Confidence intervals for gamma-family measures of ordinal association.

This research focused on confidence intervals (CIs) for 10 measures of monotonic association between ordinal variables. Standard errors (SEs) were also reviewed because more than 1 formula was available per index. For 5 indices, an element of the formula used to compute an SE is given that is apparently new.

The reverse of social anxiety is not always the opposite: the reverse-scored items of the social interaction anxiety scale do not belong.

Although well-used and empirically supported, the Social Interaction Anxiety Scale (SIAS) has a questionable factor structure and includes reverse-scored items with questionable utility. Here, using samples of undergraduates and a sample of clients with social anxiety disorder, we extend previous work that opened the question of whether the reverse-scored items belong on the scale. First, we successfully confirmed the factor structure obtained in previous samples.

An item response theory analysis of DSM-IV personality disorder criteria across younger and older age groups.

Many of the Diagnostic and Statistical Manual of Mental Disorders, 4th edition (DSM-IV; American Psychiatric Association, 1994) personality disorder (PD) diagnostic criteria focus on a younger social and occupational context. The absence of age-appropriate criteria for older adults forces researchers and clinicians to draw conclusions based on existing criteria, which are likely inadequate. To explore which DSM-IV PD criteria contain age group measurement bias, the authors report 2 analyses of data on nearly 37,000 participants, ages 18-98 years, taken from a public data set that includes 7 of the 10 PDs (antisocial, avoidant, dependent, histrionic, obsessive-compulsive, paranoid, and schizoid).

Ramsay-curve item response theory (RC-IRT) to detect and correct for nonnormal latent variables.

Popular methods for fitting unidimensional item response theory (IRT) models to data assume that the latent variable is normally distributed in the population of respondents, but this can be unreasonable for some variables. Ramsay-curve IRT (RC-IRT) was developed to detect and correct for this nonnormality. The primary aims of this article are to introduce RC-IRT less technically than it has been described elsewhere; to evaluate RC-IRT for ordinal data via simulation, including new approaches for model selection; and to illustrate RC-IRT with empirical examples.

The factor structure and screening utility of the Social Interaction Anxiety Scale.

The widely used Social Interaction Anxiety Scale (SIAS; R. P. Mattick & J.

Item Response Theory with Estimation of the Latent Population Distribution Using Spline-Based Densities.

The purpose of this paper is to introduce a new method for fitting item response theory models with the latent population distribution estimated from the data using splines. A spline-based density estimation system provides a flexible alternative to existing procedures that use a normal distribution, or a different functional form, for the population distribution. A simulation study shows that the new procedure is feasible in practice, and that when the latent distribution is not well approximated as normal, two-parameter logistic (2PL) item parameter estimates and expected a posteriori scores (EAPs) can be improved over what they would be with the normal model.

Publication bias in research synthesis: sensitivity analysis using a priori weight functions.

Publication bias, sometimes known as the "file-drawer problem" or "funnel-plot asymmetry," is common in empirical research. The authors review the implications of publication bias for quantitative research synthesis (meta-analysis) and describe existing techniques for detecting and correcting it. A new approach is proposed that is suitable for application to meta-analytic data sets that are too small for the application of existing methods.

Disgust sensitivity and obsessive-compulsive symptoms in a non-clinical sample.

Disgust sensitivity has been posited to play a role in the etiology and/or maintenance of obsessive-compulsive disorder (OCD); however, results of studies in this area have been mixed. We examined the relationship between specific domains of disgust sensitivity and specific OCD symptom patterns. One thousand and five undergraduate volunteers completed an internet battery of questionnaires including measures of OCD symptoms, depression, anxiety, and disgust sensitivity.

Association between Protestant religiosity and obsessive-compulsive symptoms and cognitions.

There is evidence that religion and other cultural influences are associated with the presentation of obsessive-compulsive symptoms, as well as beliefs and assumptions presumed to underlie the development and maintenance of these symptoms. We sought to further examine the relationship between Protestant religiosity and (1) various symptoms of obsessive-compulsive disorder (OCD) (e.g.

More information from fewer questions: the factor structure and item properties of the original and brief fear of negative evaluation scale.

Statistical methods designed for categorical data were used to perform confirmatory factor analyses and item response theory (IRT) analyses of the Fear of Negative Evaluation scale (FNE; D. Watson & R. Friend, 1969) and the Brief FNE (BFNE; M.

The Anxiety Sensitivity Index - Revised: psychometric properties and factor structure in two nonclinical samples.

Anxiety sensitivity (AS) is the fear of anxiety-related sensations based on beliefs about their harmful consequences. Despite its status as the most popular measure of AS, the anxiety sensitivity index is too abbreviated to adequately measure the somatic, cognitive, and social facets of the construct. The Anxiety Sensitivity Index - Revised (ASI-R) is a revised and expanded version of the ASI that was developed to improve the assessment of AS and its dimensions.