Single-case intervention research - Info and Reading Options
methodological and statistical advances
By Thomas R. Kratochwill and Joel R. Levin
"Single-case intervention research" was published by American Psychological Association in 2014 - Washington, DC, it has 366 pages and the language of the book is English.
“Single-case intervention research” Metadata:
- Title: ➤ Single-case intervention research
- Authors: Thomas R. KratochwillJoel R. Levin
- Language: English
- Number of Pages: 366
- Publisher: ➤ American Psychological Association
- Publish Date: 2014
- Publish Location: Washington, DC
“Single-case intervention research” Subjects and Themes:
- Subjects: ➤ Research Design - Forschungsmethode - Single subject research - Adolescent - Longitudinal Studies - Verhaltenswissenschaften - Applied Psychology - 70.03 methods, techniques and organization of social science research - Experimentelle Psychologie - Therapy - Child - Research Report - Mental Disorders - Fallstudie - Aufsatzsammlung - Psychology, research
Edition Specifications:
- Pagination: xiii, 366 pages
Edition Identifiers:
- The Open Library ID: OL27924533M - OL20651241W
- Online Computer Library Center (OCLC) ID: 868000230
- Library of Congress Control Number (LCCN): 2013047658
- ISBN-13: 9781433817519 - 9781433817526
- ISBN-10: 1433817519 - 1433817527
- All ISBNs: 1433817519 - 1433817527 - 9781433817519 - 9781433817526
AI-generated Review of “Single-case intervention research”:
"Single-case intervention research" Table Of Contents:
- 1- Introduction: An overview of single-case intervention research / Thomas R. Kratochwill and Joel R. Levin
- 2- Constructing single-case research designs: logic and options / Robert H. Horner and Samuel L. Odom
- 3- Enhancing the scientific credibility of single-case intervention research: randomization to the rescue / Thomas R. Kratochwill and Joel R. Levin
- 4- Visual analysis of single-case intervention research: conceptual and methodological issues / Thomas R. Kratochwill, Joel R. Levin, Robert H. Horner, and Christopher M. Swoboda
- 5- Non-overlap analysis for single-case research / Richard I. Parker, Kimberly J. Vannest, and John L. Davis
- 6- Single-case permutation and randomization statistical tests: present status, promising new developments / John M. Ferron and Joel R. Levin
- 7- The single-case data-analysis ExPRT (excel package of randomization tests) / Joel R. Levin, Anya S. Evmenova, and Boris S. Gafurov
- 8- Using multilevel models to analyze single-case design data / David M. Rindskopf and John M. Ferron
- 9- Analyzing single-case designs: d, G, hierarchical models, Bayesian estimators, generalized additive models, and the hopes and fears of researchers about analyses / William R. Shadish, Larry V. Hedges, James E. Pustejovsky, David M. Rindskopf, Jonathan G. Boyajian, and Kristynn J. Sullivan
- 10- The role of single-case designs in supporting rigorous intervention development and evaluation at the institute of education sciences / Jacquelyn A. Buckley, Deborah L. Speece, and Joan E. McLaughlin
- 11- Single-case designs and large-N studies: the best of both worlds / Susan M. Sheridan
- 12- Using single-case research designs in programs of research / Ann P. Kaiser
- 13- Reactions from journal editors: Journal of school psychology / Randy G. Floyd
- 14- Reactions from journal editors: School psychology quarterly / Randy W. Kamphaus
- 15- Reactions from journal editors: School psychology review / Matthew K. Burns.
"Single-case intervention research" Description:
The Open Library:
Thanks to remarkable methodological and statistical advances in recent years, Single-Case design (SCD) research has become a viable and often essential option for researchers in applied psychology, education, and related fields. This text is a compendium of information and tools for researchers considering SCD research, a methodology in which one or several participants comprise a systematically-controlled experimental intervention study. SCD is a highly flexible method of conducting applied intervention research where it is not feasible or practical to collect data from traditional groups of participants. Initial chapters lay out the key components of SCDs, from articulating dependent variables to documenting methods for achieving experimental control and selecting an appropriate design model. Subsequent chapters show when and how to implement SCDs in a variety of contexts and how to analyze and interpret results. This book emphasizes key design and analysis tactics, such as randomization, to help enhance the internal validity and scientific credibility of individual studies. This book also includes in-depth descriptions of large-scale SCD research projects being undertaken at key institutions ; practical suggestions from journal editors on how to get SCD research published and detailed instructions for free, user-friendly, web-based randomization software.
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