Increases in anxiety and depression during COVID-19: a large longitudinal study from China

S Wu, K Zhang, EJ Parks-Stamm, Z Hu, Y Ji… - Frontiers in …, 2021 - frontiersin.org
Although accumulating evidence suggests the COVID-19 pandemic is associated with costs
in mental health, the development of students' mental health, including the change from their …

Inequalities in poverty and income between single mothers and fathers

YC Lu, R Walker, P Richard, M Younis - International journal of …, 2020 - mdpi.com
Background: The American family structure has changed in the past few decades due to a
rise in the divorce rate and unmarried women with children. Research suggests a salary …

Integrative data analysis of self‐efficacy in 4 clinical trials for alcohol use disorder

ES Kruger, KN Serier, RA Pfund… - Alcoholism: Clinical …, 2021 - Wiley Online Library
Background Self‐efficacy has been proposed as a key predictor of alcohol treatment
outcomes and a potential mechanism of success in achieving abstinence or drinking …

Comparing meta‐analysis and individual person data analysis using raw data on children's understanding of equivalence

CB Hornburg, L Wang, NM McNeil - Child Development, 2018 - Wiley Online Library
A prevailing theory of mathematical problem solving predicts that children will be less
accurate solving a+ b= c+ __ problems versus a+ b= __+ c. However, this has never been …

Growing up to be mature and confident? The longitudinal interplay between the Big Five and self-esteem in adolescence.

K Bien, J Wagner, ND Brandt - Journal of Personality and Social …, 2024 - psycnet.apa.org
Adolescence is a formative life phase for the development of personality characteristics.
Although past findings suggest Big Five traits alongside self-esteem as indicators for …

Tackling Challenges in Data Pooling: Missing Data Handling in Latent Variable Models with Continuous and Categorical Indicators

L Chen, M Miočević, CF Falk - Structural Equation Modeling: A …, 2024 - Taylor & Francis
Data pooling is a powerful strategy in empirical research. However, combining multiple
datasets often results in a large amount of missing data, as variables that are not present in …

A comparison of Bayesian synthesis approaches for studies comparing two means: A tutorial

H Du, TN Bradbury, JA Lavner… - Research synthesis …, 2020 - Wiley Online Library
Researchers often seek to synthesize results of multiple studies on the same topic to draw
statistical or substantive conclusions and to estimate effect sizes that will inform power …

Integration of historical data for the analysis of multiple assessment studies

KM Marcoulides - Measurement: Interdisciplinary Research and …, 2023 - Taylor & Francis
Integrative data analyses have recently been shown to be an effective tool for researchers
interested in synthesizing datasets from multiple studies in order to draw statistical or …

Careful with those priors: A note on Bayesian estimation in two-parameter logistic item response theory models

KM Marcoulides - Measurement: Interdisciplinary Research and …, 2018 - Taylor & Francis
This study examined the use of Bayesian analysis methods for the estimation of item
parameters in a two-parameter logistic item response theory model. Using simulated data …

Assessing measurement invariance across multiple groups: When is fit good enough?

W van Dijk, C Schatschneider… - Educational and …, 2022 - journals.sagepub.com
Complex research questions often need large samples to obtain accurate estimates of
parameters and adequate power. Combining extant data sets into a large, pooled data set is …