David Rindskopf

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Bayesian analysis of data from single case designs

David Rindskopf, D. Rindskopf, 2014, Neuropsychological rehabilitation.

Null-hypothesis tests are not completely stupid, but Bayesian statistics are better

David Rindskopf, 1998 .

Overview of Bayesian Statistics

David Rindskopf, D. Rindskopf, 2020, Evaluation review.

Analyzing Single-Case Designs: d, G, Hierarchical Models, Bayesian Estimators, Generalized Additive Models, and the Hopes and Fears of Researchers About Analyses

James E. Pustejovsky, David Rindskopf, Larry V. Hedges, 2014 .

New developments in selection modeling for quasi‐experimentation

David Rindskopf, D. Rindskopf, 1986 .

Single-Case Designs Technical Documentation.

Robert H. Horner, Samuel L. Odom, William R. Shadish, 2010 .

Single-Case Intervention Research Design Standards

Robert H. Horner, Samuel L. Odom, William R. Shadish, 2013 .

Hierarchical Linear Modeling in Organizational Research

David Rindskopf, Irvin Sam Schonfeld, D. Rindskopf, 2007 .

Low- and Medium-Tech Complements to High-Tech Tools for Teaching Statistics : The Case for Using Appropriate Technology to Implement Cognitive Principles for Teaching

David Rindskopf, 2020 .

The What Works Clearinghouse Single-Case Design Pilot Standards

Robert H. Horner, Samuel L. Odom, William R. Shadish, 2014 .

Methods for evidence‐based practice: Quantitative synthesis of single‐subject designs

David Rindskopf, William R. Shadish, W. Shadish, 2007 .

Synthesizing Evidence in Public Policy Contexts

David Rindskopf, Robin R. Lasota, Sandra Jo Wilson, 2017, Evaluation review.

Title: A simple effect size estimator for single case designs using WinBUGS Authors and Affiliations:

David Rindskopf, William R. Shadish, N. Lake Rd, 2012 .

Trends in Categorical Data Analysis: New, Semi-New, and Recycled Ideas

David Rindskopf, 2004 .

Using odds ratios as effect sizes for meta-analysis of dichotomous data: A primer on methods and issues.

William R. Shadish, David Rindskopf, C. Keith Haddock, 1998 .

Structural Equation Models

David Rindskopf, D. Rindskopf, 1984 .

Using Multilevel Modeling in the Evaluation of Community-Based Treatment Programs

David Rindskopf, Leonard Saxe, D. Rindskopf, 2001, Multivariate behavioral research.

Multilevel Modeling of Single-Case Data: A Comparison of Maximum Likelihood and Bayesian Estimation

Patrick Onghena, Wim Van den Noortgate, Mariola Moeyaert, 2017, Psychological methods.

Computerized cognitive training and functional recovery in major depressive disorder: A meta-analysis.

David Rindskopf, P. Doraiswamy, D. Devanand, 2016, Journal of affective disorders.

Nonstandard log-linear models.

David Rindskopf, D. Rindskopf, 1990 .

Infinite Parameter Estimates in Logistic Regression: Opportunities, Not Problems

David Rindskopf, 2002 .

APA handbook of research methods in psychology, Vol 1: Foundations, planning, measures, and psychometrics.

David Rindskopf, Paul M. Camic, A. T. Panter, 2012 .

Next steps in Bayesian structural equation models: comments on, variations of, and extensions to Muthén and Asparouhov (2012).

David Rindskopf, 2012, Psychological methods.

APA handbook of research methods in psychology, Vol 3: Data analysis and research publication.

David Rindskopf, Paul M. Camic, A. T. Panter, 2012 .

Design makes a difference: a meta-analysis of antidepressant response rates in placebo-controlled versus comparator trials in late-life depression.

David Rindskopf, H. Sackeim, D. Rindskopf, 2008, The American journal of geriatric psychiatry : official journal of the American Association for Geriatric Psychiatry.

Quasi-experimental design in nursing research

David Rindskopf, Patricia Eckardt, 2015 .

THE USE OF LATENT CLASS ANALYSIS IN MEDICAL DIAGNOSIS

David Rindskopf, D. Rindskopf, 2002 .

Latent Class Analysis

David Rindskopf, D. Rindskopf, 2009 .

Parameterizing inequality constraints on unique variances in linear structural models

David Rindskopf, D. Rindskopf, 1983 .