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Barriers to Use of Experimental Analysis in Applied Behavior Analysis Clinical Practice
The underlying principles of applied behavior analysis (ABA) and its subsequent ethical codes necessitate the use of experimentation in many...
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Quantifying Outcomes in Applied Behavior Analysis Through Visual and Statistical Analyses: A Synthesis
Applied behavior analysis employs visual analysis as the primary means of establishing treatment effects in single-subject experimental designs. In...
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Post-selection Inference in Multiverse Analysis (PIMA): An Inferential Framework Based on the Sign Flip** Score Test
When analyzing data, researchers make some choices that are either arbitrary, based on subjective beliefs about the data-generating process, or for...
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Causal moderated mediation analysis: Methods and software
Research questions regarding how, for whom, and where a treatment achieves its effect on an outcome have become increasingly valued in substantive...
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Correcting for outcome reporting bias in a meta-analysis: A meta-regression approach
Outcome reporting bias (ORB) refers to the biasing effect caused by researchers selectively reporting outcomes within a study based on their...
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Can generative AI infer thinking style from language? Evaluating the utility of AI as a psychological text analysis tool
Generative AI, short for Generative Artificial Intelligence, a class of artificial intelligence systems, is not currently the choice technology for...
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Aberrant individuals’ effects on fit indices both of confirmatory factor analysis and polytomous IRT models
Validity and reliability are important psychometric properties for specialists who try to understand human behavior with measurement tools. There are...
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Reliability generalization meta-analysis: comparing different statistical methods
Reliability generalization (RG) is a kind of meta-analysis that aims to characterize how reliability varies from one test application to the next. A...
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Analysing data from the psycholinguistic visual-world paradigm: Comparison of different analysis methods
In this paper, we discuss key characteristics and typical experimental designs of the visual-world paradigm and compare different methods of...
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A Parametric Analysis of a Protocol to Induce Bidirectional Naming: Effects of Protocol Intensity
Researchers have identified protocols to induce verbal behavior cusps and capabilities that put an individual’s repertoires in contact with new...
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Extended Asymptotic Identifiability of Nonparametric Item Response Models
Nonparametric item response models provide a flexible framework in psychological and educational measurements. Douglas (Psychometrika 66(4):531–540,...
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Network analysis of comorbid depression and anxiety and their associations with friendship among adolescents
Depression and anxiety significantly impact adolescent well-being. Previous research shows that friendship can protect against these mental health...
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Defining the Characteristics of Story Production of Autistic Children: A Multilevel Analysis
Several studies suggest that a valuable tool to examine linguistic skills in communication disorders is offered by procedures of narrative discourse...
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Enhancing the precision of the Positive and Negative Affect Schedule (PANAS) using Rasch analysis
The Positive and Negative Affect Schedule (PANAS; Watson, Clark, & Tellegan, Journal of Personality and Social Psychology, 54 (6), 1063–1070,
1988 ) is...
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Multilevel mediation analysis in R: A comparison of bootstrap and Bayesian approaches
Mediation analysis in repeated measures studies can shed light on the mechanisms through which experimental manipulations change the outcome...
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Network comparison analysis of comorbid depression and anxiety disorder in a large clinical sample before and after treatment
The prevalence of comorbid depression and anxiety has increased significantly over the last three years. Herein, we used network analysis to identify...
