Perspectives on Behavior Science

Papers
(The TQCC of Perspectives on Behavior Science is 5. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2020-04-01 to 2024-04-01.)
ArticleCitations
ABA from A to Z: Behavior Science Applied to 350 Domains of Socially Significant Behavior31
Validity and Reliability Analysis of the PlotDigitizer Software Program for Data Extraction from Single-Case Graphs30
Threats to Internal Validity in Multiple-Baseline Design Variations29
Relational Density Theory: Nonlinearity of Equivalence Relating Examined through Higher-Order Volumetric-Mass-Density25
The Evolution of Behavior Analysis: Toward a Replication Crisis?23
A Priori Justification for Effect Measures in Single-Case Experimental Designs22
Applying Mixed-Effects Modeling to Behavioral Economic Demand: An Introduction21
Tutorial: Applying Machine Learning in Behavioral Research21
The Study of Rule-Governed Behavior and Derived Stimulus Relations: Bridging the Gap19
The Use of Self-Monitoring and Technology to Increase Physical Activity: A Review of the Literature18
Meta-Analytic Methods to Detect Publication Bias in Behavior Science Research17
Applied Behavior Analysis in Children and Youth with Autism Spectrum Disorders: A Scoping Review13
How Many Tiers Do We Need? Type I Errors and Power in Multiple Baseline Designs12
Ecological Momentary Assessment: A Systematic Review of Validity Research12
Toward a Quantification of Anhedonia: Unified Matching Law and Signal Detection for Clinical Assessment and Drug Development11
Search and Selection Procedures of Literature Reviews in Behavior Analysis10
A Theory of the Extinction Burst10
A Comprehensive Systematic Review of Procedures and Analyses Used in Basic and Preclinical Studies of Resurgence, 1970–202010
Generalizing from the Past, Choosing the Future9
How to Be RAD: Repeated Acquisition Design Features that Enhance Internal and External Validity9
The IRAP as a Measure of Implicit Cognition: A Case of Frankenstein’s Monster9
Treatment Burst Data Points and Single Case Design Studies: A Bayesian N-of-1 Analysis for Estimating Treatment Effect Size9
Quantitative Techniques and Graphical Representations for Interpreting Results from Alternating Treatment Design9
On the “Strength” of Behavior9
Just How Effective is Direct Instruction?8
The Power to Explain Variability in Intervention Effectiveness in Single-Case Research Using Hierarchical Linear Modeling8
Correspondence between Fail-Safe k and Dual-Criteria Methods: Analysis of Data Series Stability8
Modeling Subtypes of Automatically Reinforced Self-Injurious Behavior with the Evolutionary Theory of Behavior Dynamics7
Tutorial. A Behavioral Analysis of Rationality, Nudging, and Boosting: Implications for Policymaking6
A Critical Review of the Support for Variability as an Operant Dimension6
Building a More Effective, Equitable, and Compassionate Educational System: The Role of Direct Instruction6
Dissemination of Contingency Management for the Treatment of Opioid Use Disorder6
Rethinking the Place of Qualitative Methods in Behavior Analysis6
Needed independent and dependent variables in multi-element behavior support plans addressing severe behavior problems5
Time Cost and Demand: Implications for Public Policy5
Internal-Clock Models and Misguided Views of Mechanistic Explanations: A Reply to Eckard & Lattal (2020)5
The Beethoven Revolution: A Case Study in Selection by Consequence5
Faultless Communication: The Heart and Soul of DI5
Model Dependent Realism and the Rule-Governed Behavior of Behavior Analysts: Applications to Derived Relational Responding5
Using Stimulus-Equivalence Technology to Teach Skills About Nutritional Content5
Ode to Zig (and the Bard): In Support of an Incomplete Logical-Empirical Model of Direct Instruction5
Whatever the Kid Does Is the Truth: Introduction to the Special Section on Direct Instruction5
Improving Juvenile Justice Settings by Decreasing Coercion: One Lab’s Perspectives from Behind the Fence5
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