Tag: Validity

Free Download Frontiers of Test Validity Theory: Measurement, Causation, and Meaning, 2nd Edition
by Keith A. Markus, Denny Borsboom
English | 2025 | ISBN: 103250367X | 444 Pages | True ePUB | 2.08 MB

Free Download Frontiers of Test Validity Theory: Measurement, Causation, and Meaning, 2nd Edition
by Keith A. Markus, Denny Borsboom
English | 2025 | ISBN: 103250367X | 444 Pages | True PDF | 6.43 MB

Free Download Credibility, Validity, and Assumptions in Program Evaluation Methodology by Apollo M. Nkwake
English | PDF EPUB (True) | 2023 | 199 Pages | ISBN : 3031456130 | 17 MB
This book focuses on methods of choice in program evaluation. Credible methods choice lies in the assumptions we make about the appropriateness and validity of selected methods and the validity of those assumptions. As evaluators make methodological decisions in various stages of the evaluation process, a number of validity questions arise. Yet unexamined assumptions are a risk to useful evaluation. The first edition of this book discussed the formulation of credible methodological arguments and methods of examining validity assumptions. However, previous publications suggest advantages and disadvantages of using various methods and when to use them. Instead, this book analyzes assumptions underlying actual methodological choices in evaluation studies and how these influence evaluation quality. This analysis is the basis of suggested tools.

Free Download Applying Benford’s Law for Assessing the Validity of Social Science Data
English | 2024 | ISBN: 1009123076 | 225 Pages | PDF | 2 MB
Benford’s Law is a probability distribution for the likelihood of the leading digit in a set of numbers. This book seeks to improve and systematize the use of Benford’s Law in the social sciences to assess the validity of self-reported data. The authors first introduce a new measure of conformity to the Benford distribution that is created using permutation statistical methods and employs the concept of statistical agreement. In a switch from a typical Benford application, this book moves away from using Benford’s Law to test whether the data conform to the Benford distribution, to using it to draw conclusions about the validity of the data. The concept of ‘Benford validity’ is developed, which indicates whether a dataset is valid based on comparisons with the Benford distribution and, in relation to this, diagnostic procedure that assesses the impact of not having Benford validity on data analysis is devised.