Summary
Contents
Subject index
The contributors to Best Practices in Quantitative Methods envision quantitative methods in the 21st century, identify the best practices, and, where possible, demonstrate the superiority of their recommendations empirically. Editor Jason W. Osborne designed this book with the goal of providing readers with the most effective, evidence-based, modern quantitative methods and quantitative data analysis across the social and behavioral sciences. The text is divided into five main sections covering select best practices in Measurement, Research Design, Basics of Data Analysis, Quantitative Methods, and Advanced Quantitative Methods. Each chapter contains a current and expansive review of the literature, a case for best practices in terms of method, outcomes, inferences, etc., and broad-ranging examples along with any empirical evidence to show why certain techniques are better. Key Features: Describes important implicit knowledge to readers: The chapters in this volume explain the important details of seemingly mundane aspects of quantitative research, making them accessible to readers and demonstrating why it is important to pay attention to these details. Compares and contrasts analytic techniques: The book examines instances where there are multiple options for doing things, and make recommendations as to what is the “best” choice-or choices, as what is best often depends on the circumstances. Offers new procedures to update and explicate traditional techniques: The featured scholars present and explain new options for data analysis, discussing the advantages and disadvantages of the new procedures in depth, describing how to perform them, and demonstrating their use.
How to Deal With Missing Data Conceptual Overview and Details for Implementing Two Modern Methods
How to Deal With Missing Data Conceptual Overview and Details for Implementing Two Modern Methods
In the past, when data were missing from our sets, any number of reactions were common. Positive emotions, such as happiness and contentment, never occurred. Rather, the emotions we felt (often in this order) were frustration, anger, guilt, fear, and sadness.
Graham, Cumsille, and Elek–Fisk (2003, p. 87)
We stand at the beginning of an era in which useful and accessible missing data procedures are an integral part of mainstream statistical packages.
Graham et al. (2003, p. 88)
The days when journals tolerate the absence of analysis of the missing ...
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