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Hierarchical Linear Modeling
This book provides a brief, easy-to-read guide to implementing hierarchical linear modeling using three leading software platforms, followed by a set of original how-to applications articles following a standardard instructional format. The "guide" portion consists of five chapters by the editor, providing an overview of HLM, discussion of methodological assumptions, and parallel worked model examples in SPSS, SAS, and HLM software. The "applications" portion consists of ten contributions in which authors provide step by step presentations of how HLM is implemented and reported for introductory to intermediate applications.
The Cambridge Handbook of Workplace Training and Employee Development
With comprehensive coverage of topics related to learning, training, and development, this volume is a must-have resource for industrial and organizational (I/O) psychologists, human resource (HR) scholars, and adult education specialists. Brown provides a forward-looking exploration of the current research on workplace training, employee development, and organizational learning from the primary point of view of industrial organizational psychology. Each chapter discusses current practices, recent research, and, importantly, the gaps between the two. In analyzing these aspects of the topic, the chapter authors both present the valuable knowledge available and show the opportunities for further study and practice.
Making Sense of Factor Analysis
Many health care practitioners and researchers are aware of the need to employ factor analysis in order to develop more sensitive instruments for data collection. Unfortunately, factor analysis is not a unidimensional approach that is easily understood by even the most experienced of researchers. Making Sense of Factor Analysis: The Use of Factor Analysis for Instrument Development in Health Care Research presents a straightforward explanation of the complex statistical procedures involved in factor analysis. Authors Marjorie A. Pett, Nancy M. Lackey, and John J. Sullivan provide a step-by-step approach to analyzing data using statistical computer packages like SPSS and SAS. Emphasizing the ...
Applied Statistics: From Bivariate Through Multivariate Techniques
Rebecca M. Warner's Applied Statistics: From Bivariate Through Multivariate Techniques, Second Edition provides a clear introduction to widely used topics in bivariate and multivariate statistics, including multiple regression, discriminant analysis, MANOVA, factor analysis, and binary logistic regression. The approach is applied and does not require formal mathematics; equations are accompanied by verbal explanations. Students are asked to think about the meaning of equations. Each chapter presents a complete empirical research example to illustrate the application of a specific method. Although SPSS examples are used throughout the book, the conceptual material will be helpful for users of different programs. Each chapter has a glossary and comprehension questions.
Handbook of Quantitative Methods for Educational Research
As part of their research activities, researchers in all areas of education develop measuring instruments, design and conduct experiments and surveys, and analyze data resulting from these activities. Educational research has a strong tradition of employing state-of-the-art statistical and psychometric (psychological measurement) techniques. Commonly referred to as quantitative methods, these techniques cover a range of statistical tests and tools. Quantitative research is essentially about collecting numerical data to explain a particular phenomenon of interest. Over the years, many methods and models have been developed to address the increasingly complex issues that educational researcher...
How to Keep your Doctorate on Track
The path of a doctoral student can feel challenging and isolating. This guide provides doctoral students with key ideas and support to kick-start a doctoral journey, inspire progress and complete their thesis or dissertation. Featuring observations from experienced supervisors, as well as the reflections of current and recent postgraduate researchers, this intimate and entertaining book offers vital insights into the critical moments in any doctoral experience.
