The article by Coelho, Hanel, and Wolf (2018) presents the NCS-6, a shortened version of the Need for Cognition Scale (NCS-18). This scale measures an individual’s tendency to engage in and enjoy thinking, a concept that has become significant in fields like social and medical sciences. By reducing the original …
Liang’s (2020) study on Bayesian Structural Equation Modeling (BSEM) focuses on the use of small-variance normal distribution priors (BSEM-N) for analyzing sparse factor loading structures. This research provides insights into how different priors affect model performance, offering valuable guidance for researchers employing BSEM in their work. Background Bayesian Structural Equation …
Melough et al. (2021) investigated the role of maternal vitamin D levels during pregnancy on the neurocognitive development of children aged 4–6 years. Using data from the CANDLE cohort, the study provides evidence linking higher maternal plasma 25-hydroxyvitamin D [25(OH)D] levels with improved IQ outcomes in children, highlighting the importance …
The study by Xiao and Bulut (2020) evaluates how different methods for handling missing data perform when estimating ability parameters from sparse datasets. Using two Monte Carlo simulations, the research highlights the strengths and limitations of four approaches, providing valuable insights for researchers and practitioners in educational and psychological measurement. …
The article “Convergent, Discriminant, and Concurrent Validity of Nonmemory-Based Performance Validity Tests” by Webber, Critchfield, and Soble (2020) analyzes the effectiveness of nonmemory-based Performance Validity Tests (PVTs) in detecting noncredible performance during neuropsychological assessments. The study evaluates tools like the Dot Counting Test (DCT) and variations of the WAIS-IV Digit …
Olvera Astivia, Kroc, and Zumbo’s (2020) study examines the assumptions underlying Cronbach’s coefficient alpha and how the distribution of items affects reliability estimation. By introducing a new framework rooted in Fréchet-Hoeffding bounds, the authors offer a fresh perspective on the limitations of this widely used reliability measure. Their work provides …
Determining the optimal number of factors to retain in exploratory factor analysis (EFA) has long been a subject of debate in social sciences research. Finch (2020) addresses this challenge by comparing the performance of fit index difference values and parallel analysis, a well-established method in this field. The study offers …
Hui Zheng’s study offers an in-depth analysis of cognitive functioning trends across generations, highlighting notable improvements and subsequent declines in specific cohorts. This research provides critical data for understanding the factors influencing cognitive health over time and their broader implications for aging populations. Background The research examines cognitive performance trends …
Short-form (SF) IQ estimations are often used in clinical settings to provide efficient assessments of intelligence without administering the full test. Lace et al. (2022) examined the effectiveness of various five- and four-subtest combinations for estimating full-scale IQ (FSIQ) on the Wechsler Intelligence Scale for Children-Fifth Edition (WISC-V). Their findings …
Babcock and Hodge (2020) address a significant challenge in educational measurement: accurately equating exam scores when sample sizes are limited. Their study evaluates the performance of Rasch and classical equating methods, particularly for credentialing exams with small cohorts, and introduces data pooling as a potential solution. Background Equating ensures fairness …
