Author : Mark S. Levine
Publisher : SAGE
Page : 68 pages
File Size : 46,37 MB
Release : 1977-04
Category : Mathematics
ISBN : 9780803906556
Canonical correlational analysis; Factor comparison techniques; References.
Author : Mark S. Levine
Publisher :
Page : 62 pages
File Size : 49,52 MB
Release : 1977
Category : Canonical correlation (Statistics)
ISBN :
Author : Jae-On Kim
Publisher : SAGE
Page : 92 pages
File Size : 31,77 MB
Release : 1978-11
Category : Reference
ISBN : 9780803911666
Describes various commonly used methods of initial factoring and factor rotation. In addition to a full discussion of exploratory factor analysis, confirmatory factor analysis and various methods of constructing factor scales are also presented.
Author : Jacques A. P. Hagenaars
Publisher : SAGE Publications
Page : 205 pages
File Size : 24,56 MB
Release : 2024-02-27
Category : Political Science
ISBN : 1544364008
Interpreting and Comparing Effects in Logistic, Probit and Logit Regression shows applied researchers how to compare coefficient estimates from regression models for categorical dependent variables in typical research situations. It presents a practical, unified treatment of these problems, and considers the advantages and disadvantages of each approach, and when to use them.
Author : George H. Dunteman
Publisher : SAGE
Page : 98 pages
File Size : 13,26 MB
Release : 1989-05
Category : Mathematics
ISBN : 9780803931046
For anyone in need of a concise, introductory guide to principal components analysis, this book is a must. Through an effective use of simple mathematical-geometrical and multiple real-life examples (such as crime statistics, indicators of drug abuse, and educational expenditures) -- and by minimizing the use of matrix algebra -- the reader can quickly master and put this technique to immediate use.
Author : George Engelhard, Jr.
Publisher : SAGE Publications
Page : 145 pages
File Size : 37,42 MB
Release : 2021-01-26
Category : Education
ISBN : 1544363044
This book introduces current perspectives on Rasch measurement theory with an emphasis on developing Rasch-based scales. Authors George Engelhard Jr and Jue Wang introduce Rasch measurement theory step by step, with chapters on scale construction, evaluation, maintenance, and use. Points are illustrated and techniques are demonstrated through an extended example: The Food Insecurity Experience (FIE) Scale.
Author : Douglas A. Luke
Publisher : SAGE Publications
Page : 129 pages
File Size : 33,34 MB
Release : 2019-12-13
Category : Mathematics
ISBN : 1544310315
Multilevel Modeling is a concise, practical guide to building models for multilevel and longitudinal data. Author Douglas A. Luke begins by providing a rationale for multilevel models; outlines the basic approach to estimating and evaluating a two-level model; discusses the major extensions to mixed-effects models; and provides advice for where to go for instruction in more advanced techniques. Rich with examples, the Second Edition expands coverage of longitudinal methods, diagnostic procedures, models of counts (Poisson), power analysis, cross-classified models, and adds a new section added on presenting modeling results. A website for the book includes the data and the statistical code (both R and Stata) used for all of the presented analyses.
Author : Linda Brookover Bourque
Publisher : SAGE
Page : 102 pages
File Size : 48,51 MB
Release : 1992-06-06
Category : Science
ISBN : 9780803947412
This volume highlights the theory that decisions made during the design of a data collection instrument influence the kind of data and the format of the data that are available for analysis. Opening with a discussion on the selection of the data collection technique(s) and how this impacts on data processing and the data for later analysis, the book covers key issues such as: should you create your own instrument for a questionnaire? how do you test a questionnaire? what are the characteristics of good data processing? how to deal with missing data? how to scale an evaluation and create subfiles for analysis? In addition, each major section concludes with examples and when appropriate, directs the reader to commonly available computer software that can aid in data processing.
Author : John Fox
Publisher : SAGE
Page : 100 pages
File Size : 23,83 MB
Release : 2000-01-20
Category : Social Science
ISBN : 9780761915850
Nonparametric simple regression forms the basis for nonparametric multiple regression and directly supplies the building blocks for the type of nonparametric multiple regression called additive regression.
Author : Vani K. Borooah
Publisher : SAGE
Page : 108 pages
File Size : 24,73 MB
Release : 2002
Category : Mathematics
ISBN : 9780761922421
Many problems in the social sciences are amenable to analysis using the analytical tools of logit and probit models. This book explains what ordered and multinomial models are and also shows how to apply them to analysing issues in the social sciences.
