Managing your research data and documentation / Kathy R. Berenson.
Series Concise guides to conducting behavioral, health, and social science research seriesEditor: Washington, DC : American Psychological Association, ©2018Descripción: xii, 107 pages : illustrations ; 24 cmTipo de contenido:- text
- unmediated
- volume
- 9781433827099 (paperback)
- 1433827093 (paperback)
- 150.72
- BF76.5 .B47 2018
| Imagen de cubierta | Tipo de ítem | Biblioteca actual | Biblioteca de origen | Colección | Ubicación en estantería | Signatura topográfica | Materiales especificados | Info Vol | URL | Copia número | Estado | Notas | Fecha de vencimiento | Código de barras | Reserva de ítems | Prioridad de la cola de reserva de ejemplar | Reservas para cursos | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Libro | Biblioteca Encarnación Valdés Colección General bev | 150.72 B489m (Navegar estantería(Abre debajo)) | Disponible | 80000002602830 |
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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.
Includes bibliographical references (pages 99-100) and index.
Introduction -- Your project files -- Your data files -- Your command files -- Your replication documentation.
Tabla de contenidos provista por Syndetics
- Series Foreword(p. ix)
- Preface(p. xi)
- Chapter 1 Introduction(p. 3)
- Chapter 2 Your Project Files(p. 15)
- Chapter 3 Your Data Files(p. 23)
- Chapter 4 Your Command Files(p. 33)
- Chapter 5 Your Replication Documentation(p. 65)
- Appendix A Source Data and Metadata(p. 75)
- Appendix B Working With "Tall" Data Files(p. 77)
- Appendix C Data Entry(p. 83)
- Appendix D Labeling and Renaming Many Variables Efficiently(p. 87)
- Appendix E Importing Data Files(p. 89)
- Appendix F Merging Data Files(p. 91)
- Appendix G Estimating Missing Values(p. 93)
- References(p. 99)
- Index(p. 101)
- About the Author(p. 105)
- About the Series Editor(p. 107)