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Modeling Data with Measurement Errors but without Predefined Metrics: Fact versus Fallacy
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Ke-Hai Yuan; Zhiyong Zhang – Grantee Submission, 2024
Data in social and behavioral sciences typically contain measurement errors and also do not have predefined metrics. Structural equation modeling (SEM) is commonly used to analyze such data. This article discuss issues in latent-variable modeling as compared to regression analysis with composite-scores. Via logical reasoning and analytical results…
Descriptors: Error of Measurement, Measurement Techniques, Social Science Research, Behavioral Science Research
Bayesian Adaptive Lasso for the Detection of Differential Item Functioning in Graded Response Models
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Na Shan; Ping-Feng Xu – Journal of Educational and Behavioral Statistics, 2025
The detection of differential item functioning (DIF) is important in psychological and behavioral sciences. Standard DIF detection methods perform an item-by-item test iteratively, often assuming that all items except the one under investigation are DIF-free. This article proposes a Bayesian adaptive Lasso method to detect DIF in graded response…
Descriptors: Bayesian Statistics, Item Response Theory, Adolescents, Longitudinal Studies
A Systematic Survey of Control Groups in Behavioral and Social Science Trials
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Wang, Mei; Sun, Guangwen; Chang, Yaping; Jin, Yanling; Leenus, Alvin; Maaz, Muhammad; Li, Guowei; Bhatt, Meha; Abbade, Luciana P. F.; Nwosu, Ikunna; Zielinski, Laura; Sanger, Nitika; Bantoto, Bianca; Luo, Candice; Shams, Ieta; Shahid, Hamnah; Adachi, Jonathan; Mbuagbaw, Lawrence; Levine, Mitchell; Samaan, Zainab; Thabane, Lehana – Research on Social Work Practice, 2018
Behavioral and social sciences randomized controlled trials (BSSTs) have a significant role in life sciences. Choosing an appropriate control or comparator group for BSSTs is critical, to provide true intervention effects. The objective of this study was to determine the types of control groups used in BSSTs, and the rationale provided to justify…
Descriptors: Randomized Controlled Trials, Databases, Behavioral Science Research, Social Science Research
An Evaluation of Interteaching in an Asynchronous Online Graduate-Level Behavior Analysis Course
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Rieken, Chrystal Jansz; Dotson, Wesley H.; Carter, Stacy L.; Griffith, Annette K. – Teaching of Psychology, 2018
Interteaching (IT) has demonstrated more effective and durable learning than traditional lecture-style teaching. Whereas IT's effectiveness has been established in traditional face-to-face courses, there is a need to extend the evaluation of IT to increasingly common course delivery modalities such as online courses. The purpose of the present…
Descriptors: Teaching Methods, Behavioral Science Research, Asynchronous Communication, Online Courses
Comparing Theories of Reference-Dependent Choice
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Bhatia, Sudeep – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2017
Preferences are influenced by the presence or absence of salient choice options, known as reference points. This behavioral tendency is traditionally attributed to the loss aversion and diminishing sensitivity assumptions of prospect theory. In contrast, some psychological research suggests that reference dependence is caused by attentional biases…
Descriptors: Comparative Analysis, Learning Theories, Preferences, Attention