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Ssd for R: An R Package For Analyzing Single-Subject Data
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eBay item number:395123854940
Item specifics
- Condition
- ISBN
- 9780199343591
- Book Title
- Ssd for R : an R Package for Analyzing Single-Subject Data
- Publisher
- Oxford University Press, Incorporated
- Item Length
- 9.8 in
- Publication Year
- 2014
- Format
- Trade Paperback
- Language
- English
- Illustrator
- Yes
- Item Height
- 0.5 in
- Genre
- Social Science
- Topic
- Social Work, Research
- Item Weight
- 10.6 Oz
- Item Width
- 7.1 in
- Number of Pages
- 176 Pages
About this product
Product Identifiers
Publisher
Oxford University Press, Incorporated
ISBN-10
0199343594
ISBN-13
9780199343591
eBay Product ID (ePID)
201578979
Product Key Features
Book Title
Ssd for R : an R Package for Analyzing Single-Subject Data
Number of Pages
176 Pages
Language
English
Publication Year
2014
Topic
Social Work, Research
Illustrator
Yes
Genre
Social Science
Format
Trade Paperback
Dimensions
Item Height
0.5 in
Item Weight
10.6 Oz
Item Length
9.8 in
Item Width
7.1 in
Additional Product Features
LCCN
2014-000957
Dewey Edition
23
Reviews
"This book describes what single-subject data is, how to measure these data, how to collect these data, how to record these data in Excel or a spreadsheet, how to transfer the data from Excel to the SSD for R software package, and how to use this software in analyzing the collected data. It provides an excellent step-by-step approach with great clinically relevant examples and snapshots from the original software to help readers understand. This is an excellent book. It is a valuable resource for a basic understanding of single-subject research data analysis and it gives step-by-step instructions on when and how to access the SSD for R software package." --Vedang J Bhavsar, Doody's Health Sciences Book Review, "This work is short but, in spite of its brevity, Charles Auerbach and Wendy Zeitlin's book describes how to analyse single-subject data using their own package, SSD for R. They introduce its functions as well as providing advice on how to analyse baseline and intervention phase data." -- Paul Webb, The Royal Statistical Society"This book describes what single-subject data is, how to measure these data, how to collect these data, how to record these data in Excel or a spreadsheet, how to transfer the data from Excel to the SSD for R software package, and how to use this software in analyzing the collected data. It provides an excellent step-by-step approach with great clinically relevant examples and snapshots from the original software to help readers understand. This is an excellentbook. It is a valuable resource for a basic understanding of single-subject research data analysis and it gives step-by-step instructions on when and how to access the SSD for R software package."--Vedang J Bhavsar, Doody's Health Sciences Book Review, "This work is short but, in spite of its brevity, Charles Auerbach and Wendy Zeitlin's book describes how to analyse single-subject data using their own package, SSD for R. They introduce its functions as well as providing advice on how to analyse baseline and intervention phase data." -- Paul Webb, The Royal Statistical Society"This book describes what single-subject data is, how to measure these data, how to collect these data, how to record these data in Excel or a spreadsheet, how to transfer the data from Excel to the SSD for R software package, and how to use this software in analyzing the collected data. It provides an excellent step-by-step approach with great clinically relevant examples and snapshots from the original software to help readers understand. This is an excellent book. It is a valuable resource for a basic understanding of single-subject research data analysis and it gives step-by-step instructions on when and how to access the SSD for R software package." --Vedang J Bhavsar, Doody's Health Sciences Book Review, "This work is short but, in spite of its brevity, Charles Auerbach and Wendy Zeitlin's book describes how to analyse single-subject data using their own package, SSD for R. They introduce its functions as well as providing advice on how to analyse baseline and intervention phase data." -- Paul Webb, The Royal Statistical Society "This book describes what single-subject data is, how to measure these data, how to collect these data, how to record these data in Excel or a spreadsheet, how to transfer the data from Excel to the SSD for R software package, and how to use this software in analyzing the collected data. It provides an excellent step-by-step approach with great clinically relevant examples and snapshots from the original software to help readers understand. This is an excellent book. It is a valuable resource for a basic understanding of single-subject research data analysis and it gives step-by-step instructions on when and how to access the SSD for R software package." --Vedang J Bhavsar, Doody's Health Sciences Book Review
Dewey Decimal
001.42
Table Of Content
Introduction: Single-Subject Research Designs in the Social and Health Sciences1. Getting your Data into SSD for R2. Overview of SSD for R Functions3. Analyzing Baseline Phase Data4. Comparing Baseline and Intervention Phases: Visualizing Your Findings and Descriptive Statistics5. Statistical Tests of Type I Error6. Analyzing Group Data7. Building Support for Practice Research
Synopsis
This book is a guide for conducting single-subject data analysis. It introduces readers to the various functions available in SSD for R, a free and innovative software package written in R, by the authors. SSD for R has comprehensive functionality designed for the analysis of single-subject research data., 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. This book serves as a guide for those desiring to conduct single-subject data analysis. The aim of this text is to introduce 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, written by the book's authors, Charles Auerbach and Wendy Zeitlin. SSD for R has numerous graphing and charting functions to conduct robust visual analysis. Besides the ability to create simple line graphs, additional features are available to add mean, median and standard deviation lines across phases to help better visualize change over time. 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. Several examples and illustrations are provided throughout 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. Additionally, the authors have an active website (http: //ssdanalysis.com) with a growing number of instructional videos and a blog to build a community of researchers interested in single-subject 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. This book serves as a guide for those desiring to conduct single-subject data analysis. The aim of this text is to introduce readers to the various functions available in SSD for R, a new, free, and innovativesoftware package written in R-the open-source statistical programming language, written by the book's authors, Charles Auerbach and Wendy Zeitlin. SSD for R has numerous graphing andcharting functions to conduct robust visual analysis. Besides the ability to create simple line graphs, additional features are available to add mean, median and standard deviation lines across phases to help better visualize change over time. 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. Severalexamples and illustrations are provided throughout to help readers understand the wide range of functions available in SSD for R and their application to data analysis andinterpretation.SSD for R is the only book of its kind to describe single-subject data analysis while providing free statistical software to do so. Additionally, the authors have an active website (http://ssdanalysis.com) with a growing number of instructional videos and a blog to build a community of researchers interested in single-subject 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.This book serves as a guide for those desiring to conduct single-subject data analysis. The aim of this text is to introduce readers to the various functions available in SSD for R, a new, free, and innovative software package written in R, the robust open-source statistical programming language, written by the book's authors. SSD for R has the most comprehensive functionality specifically designed for the analysis of single-subject research data currently available. SSD for R has numerous graphing and charting functions to conduct robust visual analysis. Besides the ability to create simple line graphs, additional features are available to add mean, median and standard deviation lines across phases to help better visualize change over time. Graphs can be annotated with text. SSD for R also contains a wide variety of functions to conduct statistical analyses that have traditionally been conducted with single-subject data. These include numerous descriptive statistics and effect size functions as well as tests of statistical significance, such as t-tests, chi-squares and the conservative dual criteria. Finally, SSD for R has the capability of analyzing group-level data.The authors step readers through the analytical process based on the characteristics of their data. Numerous examples and illustrations are provided throughout to help readers understand the wide range of functions available in SSD for R and their application to data analysis and interpretation.This is the only book of its kind to describe single-subject data analysis while providing free statistical software to do so. Additionally, the authors have an active website with a growing number of instructional videos and a blog to build a community of researchers interested in single-subject designs.
LC Classification Number
H62.A8493 2014
ebay_catalog_id
4
Copyright Date
2014
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