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Harari, Ofir; Soltanifar, Mohsen; Cappelleri, Joseph C.; Verhoek, Andre; Ouwens, Mario; Daly, Caitlin; Heeg, Bart – Research Synthesis Methods, 2023
Effect modification (EM) may cause bias in network meta-analysis (NMA). Existing population adjustment NMA methods use individual patient data to adjust for EM but disregard available subgroup information from aggregated data in the evidence network. Additionally, these methods often rely on the shared effect modification (SEM) assumption. In this…
Descriptors: Networks, Network Analysis, Meta Analysis, Evaluation Methods
Knowlden, Adam P.; Naher, Shabnam – American Journal of Health Education, 2023
Background: Poor sleep is commonplace among traditional entry university students. Lifestyle modifications, such as time management behaviors, may improve sleep quality by allocating sufficient time for sleep and mitigating stress-associated sleep latency inefficiencies. Purpose: The purpose of our study was to evaluate time management behaviors…
Descriptors: Time Management, Student Behavior, Structural Equation Models, Prediction
Liang, Xinya; Cao, Chunhua – Journal of Experimental Education, 2023
To evaluate multidimensional factor structure, a popular method that combines features of confirmatory and exploratory factor analysis is Bayesian structural equation modeling with small-variance normal priors (BSEM-N). This simulation study evaluated BSEM-N as a variable selection and parameter estimation tool in factor analysis with sparse…
Descriptors: Factor Analysis, Bayesian Statistics, Structural Equation Models, Simulation
Mumbardó-Adam, Cristina; Guàrdia-Olmos, Joan; Giné Giné, Climent – Journal of Applied Research in Intellectual Disabilities, 2020
Self-determination, as a person dispositional characteristic, is indeed influenced by situational characteristics that shape actions across contexts. Research has also reported differences in self-determination as a function of personal factors, but there is a need to integrate this knowledge in a general model aiming to analyse the impact of…
Descriptors: Context Effect, Self Determination, Adolescents, Structural Equation Models
Finch, W. Holmes – Journal of Experimental Education, 2022
Multivariate analysis of variance (MANOVA) is widely used to test the null hypothesis of equal multivariate means across 2 or more groups. MANOVA rests upon an assumption that error terms are independent of one another, which can be violated if individuals are clustered or nested within groups, such as schools. Ignoring such nesting can result in…
Descriptors: Multivariate Analysis, Hypothesis Testing, Structural Equation Models, Hierarchical Linear Modeling
Pacewicz, Christine E.; Hill, Christopher R.; Lee, Seungmin; Myers, Nicholas D.; Prilleltensky, Isaac; McMahon, Adam; Pfeiffer, Karin A.; Brincks, Ahnalee M. – Measurement in Physical Education and Exercise Science, 2022
In physical education and exercise science, it is common to examine mean differences between groups or to assess change across time. However, before group differences or change can be confidently examined, measurement invariance can be tested. Measurement invariance tests the equivalence of a construct across groups or across time. If measurement…
Descriptors: Physical Education, Exercise, Well Being, Self Efficacy
Paula M. Hernandez-Diaz; Jorge-Andrés Polanco; Sergio Andrés Osuna-Ramírez; Erika Jaillier-Castrillón; Tatiana Molina-Velasquez; Manuela Escobar-Sierra – International Journal of Sustainability in Higher Education, 2024
Purpose: This paper aims to find the incidence of university sustainability, as sustainability practices, in university performance at private universities. Design/methodology/approach: Quantitative research using structural equation modelling. Data collection and analysis followed sustainability and performance scales from previous research. The…
Descriptors: Incidence, Sustainability, Institutional Evaluation, Universities
Khalid ALMamari – International Journal of Testing, 2024
The Multidimensional Personality Questionnaire (MPQ) measures a wide range of personality traits associated with affect and temperament. However, the lengthy administration time may have hindered its widespread use in personality research. The National Survey of Midlife Development in the United States (MIDUS) has adapted a short version of the…
Descriptors: Personality Measures, Questionnaires, Construct Validity, Test Reliability
Daniel McNeish; Melissa G. Wolf – Structural Equation Modeling: A Multidisciplinary Journal, 2024
Despite the popularity of traditional fit index cutoffs like RMSEA [less than or equal to] 0.06 and CFI [greater than or equal to] 0.95, several studies have noted issues with overgeneralizing traditional cutoffs. Computational methods have been proposed to avoid overgeneralization by deriving cutoffs specifically tailored to the characteristics…
Descriptors: Structural Equation Models, Cutting Scores, Generalizability Theory, Error of Measurement
Suyoung Kim; Sooyong Lee; Jiwon Kim; Tiffany A. Whittaker – Structural Equation Modeling: A Multidisciplinary Journal, 2024
This study aims to address a gap in the social and behavioral sciences literature concerning interaction effects between latent factors in multiple-group analysis. By comparing two approaches for estimating latent interactions within multiple-group analysis frameworks using simulation studies and empirical data, we assess their relative merits.…
Descriptors: Social Science Research, Behavioral Sciences, Structural Equation Models, Statistical Analysis
Julian F. Lohmann; Steffen Zitzmann; Martin Hecht – Structural Equation Modeling: A Multidisciplinary Journal, 2024
The recently proposed "continuous-time latent curve model with structured residuals" (CT-LCM-SR) addresses several challenges associated with longitudinal data analysis in the behavioral sciences. First, it provides information about process trends and dynamics. Second, using the continuous-time framework, the CT-LCM-SR can handle…
Descriptors: Time Management, Behavioral Science Research, Predictive Validity, Predictor Variables
Nuria Real-Brioso; Eduardo Estrada; Pablo F. Cáncer – Structural Equation Modeling: A Multidisciplinary Journal, 2024
Accelerated longitudinal designs (ALDs) provide an opportunity to capture long developmental periods in a shorter time framework using a relatively small number of assessments. Prior literature has investigated whether univariate developmental processes can be characterized with data obtained from ALDs. However, many important questions in…
Descriptors: Longitudinal Studies, Psychology, Cognitive Development, Brain Hemisphere Functions
Tayfur Ekmekci, Ozge; Bayhan Karapinar, Pinar; Metin Camgoz, Selin; Ozsoy Ozmen, Arzu; Kumbul Guler, Burcu – Higher Education Policy, 2021
This study investigates the mediating effect of job satisfaction on the relation between job insecurity and exit, voice, loyalty and neglect (EVLN) responses. Data were collected from 232 academic employees. The authors test whether job satisfaction transmits the effects of the job insecurity on exit, voice, loyalty and neglect using path analyses…
Descriptors: Job Security, Job Satisfaction, College Faculty, Structural Equation Models
Sirakaya, Mustafa; Alsancak Sirakaya, Didem; Korkmaz, Özgen – Journal of Science Education and Technology, 2020
This study aimed to investigate the relationships among computational thinking (CT) skills, science, technology, engineering and mathematics (STEM) attitude, and thinking styles with the help of structural equation modeling and to determine to what extent the variables of STEM attitude and thinking styles explained CT skills. The study, conducted…
Descriptors: STEM Education, Thinking Skills, Structural Equation Models, Correlation
Zuhal Yöntem; Murat Agirkan – School Mental Health, 2025
This study aimed to examine the psychosocial predictors of peer bullying among middle school students. For this purpose, structural equation modeling (SEM), including peer bullying, school culture, parental rejection, basic psychological needs, and social emotional learning (SEL) skills, was tested. The data were collected from 565 middle school…
Descriptors: Bullying, Predictor Variables, Middle School Students, Social Emotional Learning

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