What does the Developmental Neuropsychological Assessment-II (NEPSY-II) measure in children ages 7 to 12? A structural and psychometric analysis.

The Developmental Neuropsychological Assessment - II (NEPSY-II) is a widely used assessment battery in pediatric settings, but its internal structure has not been adequately examined. This study employed a rational, empirical approach to examine the construct validity of 23 NEPSY-II subtest scores from children ages 7-12 (M = 9.99, SD = 2.76) in the NEPSY-II norming sample (N = 600; 50% girls). Competing higher-order models based on prior research, hypothesized NEPSY-II domains, and conceptual subtest classifications were evaluated via confirmatory factor analysis and a sequential approach to model comparisons. The results supported the multidimensionality of NEPSY-II subtests and the organization of subtests by hypothesized neuropsychological domains. The best fitting model included a general factor and four first-order factors. Factor loadings from the general factor to first-order factors were very strong. However, general factor loadings for most subtests were less than .50 (range = .21-.69, M = .44), and domain-specific effects for all subtests, independent of the general factor, were even lower (range = .00-.45, M = .44). Interestingly, all subtests demonstrated strong subtest-specific effects, but it is not clear what construct(s) the subtest-specific effects represent. Findings support NEPSY-II authors' emphasis on subtest-level interpretations rather than composite-level interpretations and highlight that NEPSY-II subtest scores should be interpreted carefully and with caution.

A bibliometric and content analysis of Best Practices in School Psychology.

Best Practices in School Psychology is one of the most influential books in school psychology history. Originally published in 1985 by Thomas and Grimes, it was the first book offered by the National Association of School Psychologists. Its six editions have been revised every 5-8 years. Utilizing Publish or Perish as well as cross-referenced tables of contents from Best Practices, a bibliometric analysis of its 589 chapters and 37 appendices was completed. Results yielded 15,812 citations in Google Scholar-most citations (6,448) stem from its fourth edition, published in 2002. One chapter by Good et al. (2002) was cited more than 400 times, and five other chapters were cited more than 300 times. In all, 42 chapters were cited more than 100 times. Content analysis revealed that most chapters primarily addressed domains reflecting data-based decision making and interventions. The 79 most cited chapters generated almost two-thirds of all citations, and at least one-third of the citations to each of the 10 most cited chapters emerged from student projects, such as theses and dissertations. The editors, authors, and reviewers of Best Practices have produced a massive number of chapters across six editions, and although these publications were initially intended to guide practicing school psychologists, they have had a substantial impact on scholarship, including student projects. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Women's representation on journal editorial boards in school psychology across 55 years.

This study evaluated the inclusion and representation of women serving on school psychology journal editorial boards from 1965 to 2020. A total of 3,267 names were collected from six journals at 5-year increments and coded for gender using a four-step process. Across 55 years, women constituted 38% of editorial boards across these journals. When considering their levels of service, they constituted 10% of editors, 42% of associate editors, and 39% of board members. Women demonstrated a consistent increase in participation across all levels, with an overall change from 3.4% to 54.8%. In 2020, five out of six journals included more than 50% women on their editorial boards. However, underrepresentation of women is still apparent as recent reports showed women compose 87% of school psychologists, 63% of school psychology faculty, and 85% of school psychology doctoral recipients. Low numbers of women as editors as well as differences in women's participation across journals suggest a need for further evaluation of potential bias and gender-related barriers related to service in school psychology journals. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Determining journal article citation classics in school psychology: An updated bibliometric analysis using Google Scholar, Scopus, and Web of Science.

Bibliometric analyses have been the primary form of examining and evaluating literature within a field of study. By focusing on citation count and source, researchers have been able to identify journal articles considered to be high impact in reach and relevance, branding them "citation classics" in a field. As time progresses, technology, methods, and metrics for conducting these analyses have improved, and although there have been several studies designed to identify citation classics and patterns of citations supporting them in school psychology literature, none have done so in an updated, comprehensive manner. To address these limitations, the current study aims to replicate and extend these works in three major ways: (a) including 11 primary school psychology journals in the search, (b) using three of the largest reference databases, and (c) collapsing results across these databases to accurately identify the most highly cited articles. The search yielded evidence of more than 12,000 articles accruing more than 500,000 citations. The 100 most highly cited articles were identified, and the majority were classified as explicative (n = 63) and quantitative (n = 70). Themes of bullying, burnout, and teacher-child relationships were the prominent focus. School psychology's citation classics tended to feature quantitative research and examine the relations between constructs, and several revealed a new category of citations classics: the methodological and statistical article.

Psychometric evaluation of the Reward Probability Index in emerging adult drinkers.

OBJECTIVE: Diminished access to environmental rewards is an established risk factor for addiction and a focus of many effective treatment approaches. Nevertheless, there is inconsistency in measurement approaches and a need for a psychometrically sound measure. The Reward Probability Index (RPI; Carvalho, Behavior Therapy, 42, 2011, pp. 249-262) is a 20-item self-report rating scale that measures access to and ability to experience psychosocial reward. METHOD: The current studies sought to evaluate the psychometric properties of the RPI in 2 samples of emerging adult heavy drinkers. RESULTS: In Study 1, exploratory factor analysis in a sample of 393 college student drinkers supported a 2-factor model of the RPI (Reward Probability and Environmental Suppressors) after removal of redundant items, and corresponding subscales demonstrated good internal consistency. In Study 2, confirmatory factor analysis with 602 emerging adult drinkers recruited from the community supported the 2-factor model as best fitting after removal of one poor indicator, although absolute fit was only adequate. This 2-factor model demonstrated configural, metric, and scalar invariance across non-college and college subgroups as well as Black and White subgroups. Study 2 also demonstrated that the revised RPI subscales showed significant associations with measures of substance-free activity participation and enjoyment, anhedonia, and depressive symptoms. Furthermore, the study revealed the RPI Environmental Suppressors subscale predicted alcohol-related problems (ß = .25, p < .001) beyond demographic covariates, weekly drinking, and depressive symptoms. CONCLUSIONS: These studies provide evidence for the validity of the RPI as an efficient measure of access to reward among emerging adult heavy drinkers. (PsycInfo Database Record (c) 2021 APA, all rights reserved).

Methods for addressing publication bias in school psychology journals: A descriptive review of meta-analyses from 1980 to 2019.

Although meta-analyses are often used to inform practitioners and researchers, the resulting effect sizes can be artificially inflated due to publication bias. There are a number of methods to protect against, detect, and correct for publication bias. Currently, it is unknown to what extent scholars publishing meta-analyses within school psychology journals use these methods to address publication bias and whether more recently published meta-analyses more frequently utilize these methods. A historical review of every meta-analysis published to date within the most prominent school psychology journals (N = 10) revealed that 88 meta-analyses were published from 1980 to early 2019. Exactly half of them included grey literature, and 60% utilized methods to detect and correct for publication bias. The most common methods were visual analysis of a funnel plot, Orwin's failsafe N, Egger's regression, and the trim and fill procedure. None of these methods were used in more than 20% of the studies. About half of the studies incorporated one method, 20% incorporated two methods, 7% incorporated three methods, and none incorporated all four methods. These methods were most evident in studies published recently. Similar to other fields, the true estimates of effects from meta-analyses published in school psychology journals may not be available, and practitioners may be utilizing interventions that are, in fact, not as strong as believed. Practitioners, researchers employing meta-analysis techniques, education programs, and editors and peer reviewers in school psychology should continue to guard against publication bias using these methods.

Is the Vineland-3 Comprehensive Interview Form a Multidimensional or Unidimensional Scale? Structural Analysis of Subdomain Scores Across Early Childhood to Adulthood.

As the Vineland Scales are among the most relevant, well-developed, and popular measures of adaptive behavior available for use, this study evaluated the factor structure and dimensionality of the Vineland-3 Comprehensive Interview Form. Drawing data from 2,560 participants in the norming sample, exploratory and confirmatory factor analyses were completed across two independent samples from four age-groups ranging from preschool-age children to adults. Results from exploratory factor analysis revealed evidence for a unidimensional model across age-groups, but results from confirmatory factor analysis indicated that multidimensional models were better fitting than unidimensional models for each age-group. Discussion focuses on whether the Vineland-3 Comprehensive Interview Form is truly a unidimensional or multidimensional measure.

Past, present, and future of research in school psychology: The biopsychosocial ecological model as an overarching framework.

Conoley, Powers, and Gutkin (2020) called for an increased emphasis on models of psychological service delivery that are primarily indirect, adult-focused, and geared toward systems-level change in the schools. They asserted that research in school psychology should not focus on the problems of individual children and youth but address the "powerful ecosystems" that surround them. Although school- and system-wide interventions are certainly important and can have a positive impact on student outcomes, we contend that biopsychosocial models of human development that integrate the effects of genetics, personal characteristics and behaviors, environments, and broad social contexts are better frameworks for guiding future research in school psychology. In these models, the role of genetics is mediated by the family environment and broader social contexts to influence variability in cognitive, social-emotional, and behavioral domains of psychological functioning. These individual differences then interact with specific situations, leading to outcomes in educationally relevant behaviors, such as achievement, self-esteem, motivation, and peer relations. The focus of research in school psychology, therefore, should not be on "1 size fits all" school-wide interventions but rather on understanding how and why children and youth differ from one another and on translating research on the effects of genes, the environment, and their interplay into effective educational interventions. Research on bullying and victimization in schools is discussed as an example of the importance of taking a biopsychosocial ecological approach to studying complex behavior. (PsycInfo Database Record (c) 2021 APA, all rights reserved).

Exploratory and Confirmatory Factor Analysis of the Universal Nonverbal Intelligence Test-Second Edition: Testing Dimensionality and Invariance Across Age, Gender, Race, and Ethnicity.

This study examined key assumptions underlying the interpretation of one of the most widely used multidimensional nonverbal tests of intelligence, the Universal Nonverbal Intelligence Test-Second Edition (UNIT2). Specifically, we examined the dimensionality of the UNIT2 and the interpretive relevance of its factors. We also examined the invariance of constructs measured by the UNIT2 across age groups, gender, race, and ethnicity. Structural analyses were conducted using data from 1,802 individuals aged 5 to 21 years who participated in the norming of the UNIT2. Results indicate that the UNIT2 is primarily a measure of psychometric g. Tests of invariance indicate that the factors measured by the UNIT2 are calibrated differently across age, gender, and racial groups. The Memory, Quantitative, and Reasoning factors represent psychometric g quite well. However, there is insufficient unique, reliable variance for the interpretation of the index scores reflecting the Memory, Quantitative, and Reasoning factors. Based on the results of this study, we question whether the administration of multidimensional nonverbal tests of intelligence is worth the time and effort when unidimensional tests may provide the same information.

A national survey of school psychologists' practices in identifying specific learning disabilities.

This study examined the identification frameworks, specific models, and assessment practices used by school psychologists to identify students with specific learning disabilities (SLD) in public schools in the United States. We surveyed school psychologist practitioners using an online survey, conducted a review of state regulations addressing SLD, and evaluated the effects of state-level policies and school psychologists' characteristics on identification practices. Responses from more than 1,300 school psychologists revealed that multiple SLD identification frameworks are utilized and that state regulations generally have stronger effects on identification practices than do characteristics such as school psychologists' age, highest degree obtained, and years of experience. Frameworks with well-known psychometric limitations, such as those employing intelligence-achievement discrepancy formulas, remain commonly employed. We encourage more and better scientific research into both the conceptual and psychometric outcomes associated with SLD identification frameworks and urge application of evidence-based practices in the assessment and treatment of academic deficits. (PsycINFO Database Record (c) 2020 APA, all rights reserved).

Test use and assessment practices of school psychologists in the United States: Findings from the 2017 National Survey.

Although several studies have examined the specific instruments and procedures used by school psychologists when conducting comprehensive psychoeducational evaluations, the last one was published over 20 years ago (viz., Wilson & Reschly, 1996). Given the substantial theoretical and practical advances in assessment since then, the purpose of the current study was to examine the test use and assessment practices of contemporary school psychologists in the United States. Data from the 2017 National Survey of Assessment Practices in School Psychology revealed that test use and assessment practices have evolved significantly. Much of this change consists of the substitution of tests and practices with limited reliability and validity with those with greater psychometric support. Results of this study also indicate that school psychologists regularly conduct multi-method assessments to prevent, identify, monitor, and remediate child and adolescent learning difficulties and other presenting problems in the schools.

Closeness and Conflict With the Deceased: Exploring the Factor Structure of the Quality of Relationships Inventory in a Bereaved Student Sample.

With mounting empirical evidence that interpersonal closeness and conflict with the deceased prior to death are significant predictors of grief reactions following loss, accurate empirical examination of these two constructs is of high importance. Despite the utility of the Quality of Relationships Inventory (QRI) in numerous domains of research, the original instrument was not constructed with a predeath, mourner-decedent relationship in mind. Therefore, this study clarified the factor structure of a modified QRI focusing on major dimensions of the predeath relationship with the deceased-dynamics that could have strong implications for the survivor's bereavement trajectory. An exploratory factor analysis of 386 bereaved adults revealed two salient factors, deemed closeness and conflict. These results suggest that the modified bereavement version of the QRI, designated the Quality of Relationships Inventory-Bereavement version, is well positioned to advance research in thanatology, with possible limitations noted in the range of relationships to which it is applicable.

State special education criteria for identifying intellectual disability: A review following revised diagnostic criteria and Rosa's Law.

Across the last century, the condition known as intellectual disability (ID) has been labeled by assorted terms, its key features have varied, and recommendations for its identification have been divided. In light of recent changes to the diagnostic criteria for ID and to federal legislation, this study was designed to compile and summarize information about the state special education criteria for this condition and its associated assessment process, as they guide school-based and associated practices. Authors independently double-coded components of all ID regulations and guidelines from the 50 United States and the District of Columbia in pairs, which was then checked and corrected for inconsistencies. A total of 10% of states provided only the federal definition of ID. Intellectual disability was the most common term used across states, but it was used by only 63% of them. To meet the intellectual deficit criterion, 37% of states referenced a fixed IQ cutoff, and 49% referred to a flexible IQ cutoff. In contrast, most states did not refer to what score types or criteria should be referenced when identifying adaptive behavior deficits. The influence of the recently updated diagnostic criteria for ID and federal legislation was evident, as several patterns of changes were apparent since the last studies of this type. The assessment in intellectual functioning was more well defined than the assessment of adaptive behavior. Health-related features associated with ID were not commonly referenced. These results can inform school psychology practice, training, and related research. (PsycINFO Database Record

Examining the integrity of measurement of cognitive abilities in the prediction of achievement: Comparisons and contrasts across variables from higher-order and bifactor models.

Prior research examining cognitive ability and academic achievement relations have been based on different theoretical models, have employed both latent variables as well as observed variables, and have used a variety of analytic methods. Not surprisingly, results have been inconsistent across studies. The aims of this study were to (a) examine how relations between psychometric g, Cattell-Horn-Carroll (CHC) broad abilities, and academic achievement differ across higher-order and bifactor models; (b) examine how well various types of observed scores corresponded with latent variables; and (c) compare two types of observed scores (i.e., refined and non-refined factor scores) as predictors of academic achievement. Results suggest that cognitive-achievement relations vary across theoretical models and that both types of factor scores tend to correspond well with the models on which they are based. However, orthogonal refined factor scores (derived from a bifactor model) have the advantage of controlling for multicollinearity arising from the measurement of psychometric g across all measures of cognitive abilities. Results indicate that the refined factor scores provide more precise representations of their targeted constructs than non-refined factor scores and maintain close correspondence with the cognitive-achievement relations observed for latent variables. Thus, we argue that orthogonal refined factor scores provide more accurate representations of the relations between CHC broad abilities and achievement outcomes than non-refined scores do. Further, the use of refined factor scores addresses calls for the application of scores based on latent variable models.

Using estimated factor scores from a bifactor analysis to examine the unique effects of the latent variables measured by the WAIS-IV on academic achievement.

This study used estimated factor scores from a bifactor analysis of the Wechsler Adult Intelligence Scale-Fourth Edition (WAIS-IV) to examine the unique effects of its latent variables on academic achievement. In doing so, we addressed the potential limitation of multicollinearity in previous studies of the incremental validity of the WAIS-IV. First, factor scores representing psychometric g and 4 group factors representing the WAIS-IV index scales were computed from a bifactor model. Subtest and composite scores for the Wechsler Individual Achievement Test-Third Edition (WIAT-II) were then predicted from these estimated factor scores in simultaneous multiple regression. Results of this study only partially replicated the findings of previous research on the incremental validity of scores that can be derived from performance on the WAIS-IV. Although we found that psychometric g is the most important underlying construct measured by the WAIS-IV for the prediction of academic achievement in general, results indicated that the unique effect of Verbal Comprehension is also important for predicting achievement in reading, spelling, and oral communication skills. Based on these results, measures of both psychometric g and Verbal Comprehension could be cautiously interpreted when considering high school students' performance in these areas of achievement.

State learning disability eligibility criteria: A comprehensive review.

For many decades, discussions regarding the definition and identification of learning disabilities have been contentious; one result is the varied practices across states and school districts. This study reviewed learning disability (LD) regulations and guidelines from the 50 United States and the District of Columbia that were employed during 2013. Two authors independently coded components of all LD regulations and guidelines. Results showed considerable variability in the state policies and practices governing LD identification. Only 67% of states allow for use of the ability-achievement discrepancy approach, and 20% of states explicitly prohibit its use. Approximately 16% of states require the sole use of response to intervention (RtI) models in LD identification, and there is considerable variability in the guidance states provide regarding how to implement RtI models to identify LD. Finally, about half of states do not allow use of "pattern of strengths and weaknesses" (PSW) models, and most states allowing these models provide little information regarding ideal identification practices. These results can inform school psychology practice, training, and related research.

How well is psychometric g indexed by global composites? Evidence from three popular intelligence tests.

Global composites (e.g., IQs) calculated in intelligence tests are interpreted as indexes of the general factor of intelligence, or psychometric g. It is therefore important to understand the proportion of variance in those global composites that is explained by g. In this study, we calculated this value, referred to as hierarchical omega, using large-scale, nationally representative norming sample data from 3 popular individually administered tests of intelligence for children and adolescents. We also calculated the proportion of variance explained in the global composites by g and the group factors, referred to as omega total, or composite reliability, for comparison purposes. Within each battery, g was measured equally well. Using total sample data, we found that 82%-83% of the total test score variance was explained by g. The group factors were also measured in the global composites, with both g and group factors explaining 89%-91% of the total test score variance for the total samples. Global composites are primarily indexes of g, but the group factors, as a whole, also explain a meaningful amount of variance.