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Ssd for R: An R Package for Analyzing Single-Subject Data (Paperback or Softback
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Bevindt zich in: Grand Rapids, Michigan, Verenigde Staten
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eBay-objectnummer:363730022040
Specificaties
- Objectstaat
- ISBN
- 0197582753
- EAN
- 9780197582756
- Binding
- TP
- Book Title
- Ssd for R: An R Package for Analyzing Single-Subje
- Subject Area
- Social Science
- Publication Name
- Ssd for R : an R Package for Analyzing Single-Subject Data
- Publisher
- Oxford University Press, Incorporated
- Item Length
- 9.8 in
- Subject
- Social Work, General, Statistics
- Publication Year
- 2021
- Type
- Textbook
- Format
- Trade Paperback
- Language
- English
- Item Height
- 0.5 in
- Item Weight
- 14.7 Oz
- Item Width
- 10.1 in
- Number of Pages
- 224 Pages
Over dit product
Product Identifiers
Publisher
Oxford University Press, Incorporated
ISBN-10
0197582753
ISBN-13
9780197582756
eBay Product ID (ePID)
9050024777
Product Key Features
Number of Pages
224 Pages
Publication Name
Ssd for R : an R Package for Analyzing Single-Subject Data
Language
English
Subject
Social Work, General, Statistics
Publication Year
2021
Type
Textbook
Subject Area
Social Science
Format
Trade Paperback
Dimensions
Item Height
0.5 in
Item Weight
14.7 Oz
Item Length
9.8 in
Item Width
10.1 in
Additional Product Features
Edition Number
2
Intended Audience
Scholarly & Professional
LCCN
2021-025228
Dewey Edition
23
Illustrated
Yes
Dewey Decimal
001.42
Table Of Content
Introduction Chapter 1 Getting your Data into SSD for R Chapter 2 Overview of SSD for R Functions Chapter 3 Analyzing Baseline Phase Data Chapter 4 Comparing Baseline and Intervention Phases: Visualizing Your Findings and Descriptive Statistics Chapter 5 Statistical Tests of Type I Error Chapter 6 Analyzing Group Data Chapter 7 Meta-Analysis in Single-Subject Evaluation Research Chapter 8 Using RMarkdown to Present your Findings Chapter 9 Building Support for Practice Research Appendix A Entering and Editing Data Directly in R Appendix B SSD for R Quick Functions Guide Appendix C Decision Trees Appendix D Bibliography of Additional Resources
Synopsis
SSD for R is a guide for researchers who want to use this new, free, and innovative software to graph and visualise single subject research designs., Single-subject research designs have been used to build evidence to the effective treatment of problems across various disciplines including social work, psychology, psychiatry, medicine, allied health fields, juvenile justice, and special education. SSD for R serves as a guide for those desiring to conduct single-subject data analysis and introduces readers to the various functions available in SSD for R, a new, free, and innovative software package written in R--the open-source statistical programming language that was written by the book's authors. This second edition of SSD for R is the most comprehensive guide to the numerous graphing and charting functions for conducting robust visual analysis including line graphs and more complex standard deviation lines. This book also contains numerous tests of statistical significance, such as t-tests, chi-squares, and the conservative dual criteria. Auerbach and Zeitlin guide readers through the analytical process based on the characteristics of their data. In addition to presentations and assignments, this new edition contains more examples and illustrations to help readers understand the wide range of functions available in SSD for R and their application to data analysis and interpretation. SSD for R is the only book of its kind to describe single-subject data analysis while providing free statistical software to do so. For more instructional videos, blogs, and a growing community of researchers interested in single-subject designs, visit the authors' website: http: //ssdanalysis.com., Single-subject research designs have been used to build evidence to the effective treatment of problems across various disciplines including social work, psychology, psychiatry, medicine, allied health fields, juvenile justice, and special education. SSD for R serves as a guide for those desiring to conduct single-subject data analysis and introduces readers to the various functions available in SSD for R, a new, free, and innovative software package written in R--the open-source statistical programming language that was written by the book's authors. This second edition of SSD for R is the most comprehensive guide to the numerous graphing and charting functions for conducting robust visual analysis including line graphs and more complex standard deviation lines. This book also contains numerous tests of statistical significance, such as t-tests, chi-squares, and the conservative dual criteria. Auerbach and Zeitlin guide readers through the analytical process based on the characteristics of their data. In addition to presentations and assignments, this new edition contains more examples and illustrations to help readers understand the wide range of functions available in SSD for R and their application to data analysis and interpretation. SSD for R is the only book of its kind to describe single-subject data analysis while providing free statistical software to do so. For more instructional videos, blogs, and a growing community of researchers interested in single-subject designs, visit the authors' website: http://ssdanalysis.com., Single-subject research designs have been used to build evidence to the effective treatment of problems across various disciplines including social work, psychology, psychiatry, medicine, allied health fields, juvenile justice, and special education. SSD for R serves as a guide for those desiring to conduct single-subject data analysis and introduces readers to the various functions available in SSD for R, a new, free, and innovative software package written in R--the open-source statistical programming language that was written by the book's authors.This second edition of SSD for R is the most comprehensive guide to the numerous graphing and charting functions for conducting robust visual analysis including line graphs and more complex standard deviation lines. This book also contains numerous tests of statistical significance, such as t-tests, chi-squares, and the conservative dual criteria. Auerbach and Zeitlin guide readers through the analytical process based on the characteristics of their data. In addition to presentations and assignments, this new edition contains more examples and illustrations to help readers understand the wide range of functions available in SSD for R and their application to data analysis and interpretation.SSD for R is the only book of its kind to describe single-subject data analysis while providing free statistical software to do so. For more instructional videos, blogs, and a growing community of researchers interested in single-subject designs, visit the authors' website: http://ssdanalysis.com.
LC Classification Number
H62.A8493 2022
ebay_catalog_id
4
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