Efficacy of the social-emotional learning foundations curriculum for kindergarten and first grade students at risk for emotional and behavioral disorders.

Researchers have shown that children's social-emotional growth is inextricably connected to academic learning. We developed the Social-Emotional Learning Foundations (SELF) intervention, a Grade K-1 curriculum merging social-emotional learning (SEL) and literacy instruction, to promote language supported self-regulation, specifically for primary grade children at early risk for emotional or behavioral difficulties. We report findings from a pretest-posttest cluster randomized efficacy trial with one fixed between-subjects factor to test the effects of teacher-delivered SEL instruction against those of business as usual (BAU).

Comparison of model- and design-based approaches to detect the treatment effect and covariate by treatment interactions in three-level models for multisite cluster-randomized trials.

In this study, we evaluated the estimation of three important parameters for data collected in a multisite cluster-randomized trial (MS-CRT): the treatment effect, and the treatment by covariate interactions at Levels 1 and 2. The Level 1 and Level 2 interaction parameters are the coefficients for the products of the treatment indicator, with the covariate centered on its Level 2 expected value and with the Level 2 expected value centered on its Level 3 expected value, respectively. A comparison of a model-based approach to design-based approaches was performed using simulation studies.

Factors Associated with Teacher Delivery of a Classroom-Based Tier 2 Prevention Program.

Teachers sometimes struggle to deliver evidence-based programs designed to prevent and ameliorate chronic problem behaviors of young children with integrity. Identifying factors associated with variations in the quantity and quality of delivery is thus an important goal for the field. This study investigated factors associated with teacher treatment integrity of BEST in CLASS, a tier-2 prevention program designed for young children at risk for developing emotional/behavioral disorders.

Examining young children's social competence using functional ability profiles.

Purpose: To explore the use of International Classification of Functioning, Disability, and Health for Children and Youth (ICF-CY) based profiles of children's functional abilities in relation to their social competence. Subgroups based on shared profiles of functional ability were investigated as an alternative or complement to subgroups defined by disability categories.

Methods: Secondary analysis of a nationally representative data set of young children identified for special education services in the United States was used for the present study.

The Effects of Including Observed Means or Latent Means as Covariates in Multilevel Models for Cluster Randomized Trials.

We investigated methods of including covariates in two-level models for cluster randomized trials to increase power to detect the treatment effect. We compared multilevel models that included either an observed cluster mean or a latent cluster mean as a covariate, as well as the effect of including Level 1 deviation scores in the model. A Monte Carlo simulation study was performed manipulating effect sizes, cluster sizes, number of clusters, intraclass correlation of the outcome, patterns of missing data, and the squared correlations between Level 1 and Level 2 covariates and the outcome.

The Consequences of Ignoring Variability in Measurement Occasions Within Data Collection Waves in Latent Growth Models.

In longitudinal data collection, it is common that each wave of collection spans several months. However, researchers using latent growth models commonly ignore variability in data collection occasions within a wave. In this study, we investigated the consequences of ignoring within-wave variability in measurement occasions using a Monte Carlo simulation and an empirical study.

Use of the color trails test as an embedded measure of performance validity.

One hundred personal injury litigants and disability claimants referred for a forensic neuropsychological evaluation were administered both portions of the Color Trails Test (CTT) as part of a more comprehensive battery of standardized tests. Subjects who failed two or more free-standing tests of cognitive performance validity formed the Failed Performance Validity (FPV) group, while subjects who passed all free-standing performance validity measures were assigned to the Passed Performance Validity (PPV) group. A cutscore of ≥45 seconds to complete Color Trails 1 (CT1) was associated with a classification accuracy of 78%, good sensitivity (66%) and high specificity (90%), while a cutscore of ≥84 seconds to complete Color Trails 2 (CT2) was associated with a classification accuracy of 82%, good sensitivity (74%) and high specificity (90%).

Derivation of the MMPI-2-RF Henry-Heilbronner Index-r (HHI-r) scale.

The 15-item Henry-Heilbronner Index (HHI) was published in 2006 as an MMPI-2 embedded measure of psychological response validity. When the MMPI-2 was revised in 2008 only 11 of the 15 original HHI items were retained on the MMPI-2-RF, prohibiting use of the HHI as an embedded validity indicator on the MMPI-2-RF. Using the original HHI sample an 11-item version of the HHI, the HHI-r, was evaluated for use as an embedded measure of psychological response validity for the MMPI-2-RF.

Factorial validity of the Behavior Rating Inventory of Executive Function (BRIEF)-Teacher form.

Deficits in executive function (self-regulatory mechanisms) have been linked with many childhood disorders including attention deficit/hyperactivity disorder (ADHD), autism spectrum disorder, and conduct disorder. Executive functioning is typically assessed by individually administering performance-based measures in a clinical setting. However, performance-based methods are inefficient for school psychologists.

The impact of omitting the interaction between crossed factors in cross-classified random effects modelling.

Cross-classified random effects modelling (CCREM) is a special case of multi-level modelling where the units of one level are nested within two cross-classified factors. Typically, CCREM analyses omit the random interaction effect of the cross-classified factors. We investigate the impact of the omission of the interaction effect on parameter estimates and standard errors.

A generally robust approach for testing hypotheses and setting confidence intervals for effect sizes.

Standard least squares analysis of variance methods suffer from poor power under arbitrarily small departures from normality and fail to control the probability of a Type I error when standard assumptions are violated. This article describes a framework for robust estimation and testing that uses trimmed means with an approximate degrees of freedom heteroscedastic statistic for independent and correlated groups designs in order to achieve robustness to the biasing effects of nonnormality and variance heterogeneity. The authors describe a nonparametric bootstrap methodology that can provide improved Type I error control.

A comparative study of robust tests for spread: asymmetric trimming strategies.

We examined 633 procedures that can be used to compare the variability of scores across independent groups. The procedures, except for one, were modifications of the procedures suggested by Levene (1960) and O'Brien (1981). We modified their procedures by substituting robust measures of the typical score and variability, rather than relying on classical estimators.

Multigroup confirmatory factor analysis for the adaptive behavior assessment system-II parent form, ages 5-21.

The AAIDD has promulgated various models of adaptive behavior, including its 1992 model stressing 10 adaptive skills and its 2002 model that highlighted three conceptual domains. In previous studies on the Adaptive Behavior Assessment System-II (ABAS-II), researchers found support for a model including both 10 adaptive skills and three conceptual domains. To extend this review, we examined gender-invariant structure of adaptive behavior using the ABAS-II Parent Form, Ages 5-21, to answer four questions: Do the skill areas in this measure display the same pattern of factor loadings and the same factor loadings? Are intercepts of the observed skill areas equal? Do skill areas measure the corresponding factors with the same accuracy? Results show a similar one-factor structure for males and females.

Adaptive robust estimation and testing.

We examined nine adaptive methods of trimming, that is, methods that empirically determine when data should be trimmed and the amount to be trimmed from the tails of the empirical distribution. Over the 240 empirical values collected for each method investigated, in which we varied the total percentage of data trimmed, sample size, degree of variance heterogeneity, pairing of variances and group sizes, and population shape, one method resulted in exceptionally good control of Type I errors. However, under less extreme cases of non-normality and variance heterogeneity a number of methods exhibited reasonably good Type I error control.

Physicians' intent to comply with the American Medical Association's guidelines on gifts from the pharmaceutical industry.

Objective: To identify factors that predict physicians' intent to comply with the American Medical Association's (AMA's) ethical guidelines on gifts from the pharmaceutical industry.

Methods: A survey was designed and mailed in June 2004 to a random sample of 850 physicians in Florida, USA, excluding physicians with inactive licences, incomplete addresses, addresses in other states and pretest participants. Factor analysis extracted six factors: attitude towards following the guidelines, subjective norms (eg, peers, patients, etc), facilitating conditions (eg, knowledge of the guidelines, etc), profession-specific precedents (eg, institution's policies, etc), individual-specific precedents (physicians' own discretion, policies, etc) and intent.

Predicting outcome in parent-child interaction therapy: success and attrition.

This study explored predictors of treatment response and attrition in Parent-Child Interaction Therapy (PCIT). Participants were 99 families of 3- to 6-year-old children with disruptive behavior disorders. Multiple logistic regression was used to identify those pretreatment child, family, and accessibility factors that were predictive of success or attrition.

Type I Error Rates For A One Factor Within-Subjects Design With Missing Values.

Missing data are a common problem in educational research. A promising technique, that can be implemented in SAS PROC MIXED and is therefore widely available, is to use maximum likelihood to estimate model parameters and base hypothesis tests on these estimates. However, it is not clear which test statistic in PROC MIXED performs better with missing data.

An alternative to Cohen's standardized mean difference effect size: a robust parameter and confidence interval in the two independent groups case.

The authors argue that a robust version of Cohen's effect size constructed by replacing population means with 20% trimmed means and the population standard deviation with the square root of a 20% Winsorized variance is a better measure of population separation than is Cohen's effect size. The authors investigated coverage probability for confidence intervals for the new effect size measure. The confidence intervals were constructed by using the noncentral t distribution and the percentile bootstrap.

Verbal memory abilities of children with brain tumors.

Several critical neuroanatomical structures and pathways for memory performance are located in the third ventricle region. This led us to predict that verbal memory abilities would be more impaired in children treated for third ventricle tumors compared to those treated for cerebellar tumors. Archival data was obtained from 24 pediatric patients with third ventricle region tumors and 18 pediatric patients with cerebellar tumors.

Generalized eta and omega squared statistics: measures of effect size for some common research designs.

The editorial policies of several prominent educational and psychological journals require that researchers report some measure of effect size along with tests for statistical significance. In analysis of variance contexts, this requirement might be met by using eta squared or omega squared statistics. Current procedures for computing these measures of effect often do not consider the effect that design features of the study have on the size of these statistics.

Repeated Measures Interaction Test with Aligned Ranks.

The Welch-James (WJ) and the Huynh Improved General Approximation (IGA) tests for interaction were examined with respect to Type I error in a between- by within-subjects repeated measures design when data were non-normal, non-spherical and heterogeneous, particularly when group sizes were unequal. The tests were computed with aligned ranks and compared to the use of least squares and robust estimators (i.e.

Analyzing Multivariate Repeated Measures Designs: A Comparison of Two Approximate Degrees of Freedom Procedures.

The approximate degrees of freedom Welch-James (WJ) and Brown-Forsythe (BF) procedures for testing within-subjects effects in multivariate groups by trials repeated measures designs were investigated under departures from covariance homogeneity and normality. Empirical Type I error and power rates were obtained for least-squares estimators and robust estimators based on trimming/Winsorization. The BF and WJ procedures with least-squares estimators produced comparable Type I error rates for the main effect.

Conducting power analyses for ANOVA and ANCOVA in between-subjects designs.

Researchers are frequently asked to justify the sample size used in their quantitative inquiries. Such a justification can be provided through a power analysis. Conducting power analyses, however, can raise some difficult issues regarding the specification of the size of the effect, testing for interaction effects, the role of covariates, and the use of an estimated effect size in the power analysis.

Sample Size Tables for Correlation Analysis with Applications in Partial Correlation and Multiple Regression Analysis.

Tables for selecting sample size in correlation studies are presented. Some of the tables allow selection of sample size so that r (or r², depending on the statistic the researcher plans to interpret) will be within a target interval around the population parameter with probability .95.

Acute neuropsychological functioning following cardiosurgical interventions associated with the production of intraoperative cerebral microemboli.

Coronary artery bypass graft (CABG) and valve replacement (VR) surgical patients underwent neuropsychological assessment 1-2 days prior to surgery; 7-10 days postsurgery; and 1 month following hospital discharge. A group of matched healthy controls was tested at identical intervals. Cerebral microemboli in both middle cerebral arteries were quantified during surgery using Doppler sonography.