568 results on '"Shadish, William"'
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2. Power Analysis for Single-Case Designs: Computations for (AB)[superscript k] Designs
3. Frameworks for causal inference in psychological science
4. The Role of Between-Case Effect Size in Conducting, Interpreting, and Summarizing Single-Case Research. NCER 2015-002
5. Using Generalized Additive Models to Analyze Single-Case Designs
6. Modeling Longitudinal Data with Generalized Additive Models: Applications to Single-Case Designs
7. Bayesian Estimates of Autocorrelations in Single-Case Designs
8. A Standardized Mean Difference Effect Size for Single Case Designs
9. A Simple Effect Size Estimator for Single Case Designs Using WinBUGS
10. A Simple Effect Size Estimator for Single Case Designs Using WinBUGS
11. A D-Estimator for Single-Case Designs
12. Characteristics of Single-Case Designs Used to Assess Intervention Effects in 2008
13. On the Importance of Reliable Covariate Measurement in Selection Bias Adjustments Using Propensity Scores
14. Reprint of “The Single-Case Reporting Guideline In BEhavioural Interventions (SCRIBE) 2016: Explanation and Elaboration”
15. Some Evaluation Questions. ERIC/AE Digest.
16. Power analysis for single-case designs: Computations for (AB)k designs.
17. A Survey of Publication Practices of Single-Case Design Researchers When Treatments Have Small or Large Effects
18. The Single-Case Reporting Guideline in BEhavioural Interventions (SCRIBE) 2016 Statement
19. Comment-Design Rules: More Steps toward a Complete Theory of Quasi-Experimentation
20. The Development of Occupational Aspirations and Expectations among Inner-City Boys
21. Single-case experimental design yielded an effect estimate corresponding to a randomized controlled trial
22. CONSORT extension for reporting N-of-1 trials (CENT) 2015: explanation and elaboration
23. CONSORT extension for reporting N-of-1 trials (CENT) 2015 Statement
24. The Single-Case Reporting guideline In BEhavioural interventions (SCRIBE) 2016 statement
25. The Meta-Analytic Big Bang
26. Design-Comparable Effect Sizes in Multiple Baseline Designs: A General Modeling Framework
27. Power analysis for single-case designs: Computations for (AB)k designs
28. CONSORT extension for reporting N-of-1 trials (CENT) 2015 : Explanation and elaboration
29. Design-Comparable Effect Sizes in Multiple Baseline Designs: A General Modeling Framework
30. A Standardized Mean Difference Effect Size for Multiple Baseline Designs across Individuals
31. Analysis and meta-analysis of single-case designs with a standardized mean difference statistic: A primer and applications
32. Using generalized additive (mixed) models to analyze single case designs
33. Analysis and meta-analysis of single-case designs: An introduction
34. Statistical Analyses of Single-Case Designs: The Shape of Things to Come
35. Estimating the Causal Effect of Randomization versus Treatment Preference in a Doubly Randomized Preference Trial
36. Randomized Controlled Studies and Alternative Designs in Outcome Studies: Challenges and Opportunities
37. A Randomized Experiment Comparing Random and Cutoff-Based Assignment
38. On the Importance of Reliable Covariate Measurement in Selection Bias Adjustments Using Propensity Scores
39. The Importance of Covariate Selection in Controlling for Selection Bias in Observational Studies
40. Campbell and Rubin: A Primer and Comparison of Their Approaches to Causal Inference in Field Settings
41. Three Conditions under Which Experiments and Observational Studies Produce Comparable Causal Estimates: New Findings from within-Study Comparisons
42. Methods for Evidence-Based Practice: Quantitative Synthesis of Single-Subject Designs
43. On Blowing Trumpets to the Tulips: To Prove or Not to Prove the Null Hypothesis--Comment on Bosch, Steinkamp, and Boller (2006)
44. The Center for Epidemiologic Studies Depression Scale with a Young Adolescent Population: A Confirmatory Factor Analysis
45. Empirically Supported Treatments or Type I Errors? Problems with the Analysis of Data from Group-Administered Treatments
46. Increasing the Degrees of Freedom in Future Group Randomized Trials
47. Effects of Behavioral Marital Therapy: A Meta-Analysis of Randomized Controlled Trials
48. Propensity Scores
49. On the Importance of Reliable Covariate Measurement in Selection Bias Adjustments Using Propensity Scores
50. Can Nonrandomized Experiments Yield Accurate Answers? A Randomized Experiment Comparing Random and Nonrandom Assignments [with Comments, Rejoinder]
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