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- Author: Charles Auerbach
- Publisher: Oxford University Press, USA
- ISBN-10: 0197582753
- ISBN-13: 9780197582756
- Format: 17.9 x 25.6 x 1.4 cm, softcover
- Language: English
- SAVE -10% with code: EXTRA
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Description
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.
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.
EXTRA 10 % discount with code: EXTRA
The promotion ends in 16d.06:32:20
The discount code is valid when purchasing from 10 €. Discounts do not stack.
- Author: Charles Auerbach
- Publisher: Oxford University Press, USA
- ISBN-10: 0197582753
- ISBN-13: 9780197582756
- Format: 17.9 x 25.6 x 1.4 cm, softcover
- Language: English English
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.
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.
Reviews