1.

Record Nr.

UNINA9910461049903321

Autore

Satake Eiki

Titolo

Handbook of statistical methods : single subject design / / Eiki Satake, Vinoth Jagaroo, David L. Maxwell

Pubbl/distr/stampa

San Diego, California ; ; Oxford, [England] ; ; Brisbane, [Queensland] : , : Plural Publishing Inc., , 2008

©2008

ISBN

1-59756-847-3

Descrizione fisica

1 online resource (177 p.)

Disciplina

610.727

Soggetti

Clinical medicine - Statistical methods

Single subject research

Electronic books.

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Note generali

Description based upon print version of record.

Nota di bibliografia

Includes bibliographical references and index.

Nota di contenuto

""Contents""; ""Preface""; ""Acknowledgments""; ""Part I. Theoretical Foundations and Statistical Methods of Single Subject Research: Most Frequently Asked Questions""; ""Section A. Frequently Asked Questions""; ""Part II. Clinical Applications in the Behavioral and Health Sciences: Description, Graph, and Statistical Analysis""; ""Section A. Single Subject Designs in the Treatment of Anomia in Aphasia""; ""Section B. Single Subject Designs in the Treatment of Dysarthria""; ""Section C. Single Subject Designs in Clinical and Rehabilitation Psychology""

""Section D. Single Subject Designs in the Assessment of Speech and Hearing Following Cochlear Implants""""Section E. Single Subject Designs in Training Interventions for Children with Autism""; ""Appendix. Analysis of Single Subject Data Using the Beta Probability Distribution (for mathematically inclined readers)""; ""References""; ""Index""

Sommario/riassunto

In the behavioral and clinical sciences, single-subject designs have increasingly become important tools for determining a treatment efficacy. Despite a large number of recommendations in recent years for more use of the designs, the majority of typical research methods textbooks still do not provide sufficient direction and information



about single-subject designs. One of the main reasons is that data analysis of single-subject designs is still foreign to the vast majority of the investigators, practitioners, and students. The authors have developed a practical guide of the most commonly used