Managing Your Research Data and Documentation (Concise Guides to Conducting Behavioral, Health, and Social Science Research Series)

Managing Your Research Data and Documentation (Concise Guides to Conducting Behavioral, Health, and Social Science Research Series)
by: Kathy R. Berenson (Author)
Publisher: American Psychological Association
Edition: 1st
Publication Date: 2017/11/13
Language: English
Print Length: 107 pages
ISBN-10: 1433827093
ISBN-13: 9781433827099
Book Description
Choice Reviews Outstanding Academic Title In the behavioral sciences today, there is increasing emphasis on transparency, and the need for research studies to be made replicable. This book presents a straightforward approach to managing and documenting one’s data so that other researchers can repeat the study.   While data management may seem intimidating to new researchers, this book shows how easy it can (and should!) be. The first chapter presents a basic structure of folders and subfolders for organizing data files, and then each subsequent chapter delves into details for a specific folder. Step by step, readers learn to label and archive different kinds of project documents and data files, including original, processed, and working data. Readers also learn to write command codes showing exactly how the original data are analyzed. Examples illustrate how to document the most common types of research (an online survey, a paper questionnaire, and a multiple-trial experiment).   Since major research funders now require recipients to meet strict standards for data handling, this book will foster a vital career skill for students and promote transparency and replicability of research.
About the Author
Choice Reviews Outstanding Academic Title In the behavioral sciences today, there is increasing emphasis on transparency, and the need for research studies to be made replicable. This book presents a straightforward approach to managing and documenting one’s data so that other researchers can repeat the study.   While data management may seem intimidating to new researchers, this book shows how easy it can (and should!) be. The first chapter presents a basic structure of folders and subfolders for organizing data files, and then each subsequent chapter delves into details for a specific folder. Step by step, readers learn to label and archive different kinds of project documents and data files, including original, processed, and working data. Readers also learn to write command codes showing exactly how the original data are analyzed. Examples illustrate how to document the most common types of research (an online survey, a paper questionnaire, and a multiple-trial experiment).   Since major research funders now require recipients to meet strict standards for data handling, this book will foster a vital career skill for students and promote transparency and replicability of research. Read more