Georjeanna Wilson-Doenges - SPSS for Research Methods: A Basic Guide
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Help students interpret data and analyze results in SPSS.
This guide reveals the best ways for students to analyze data and interpret results in SPSS. Georjeanna Wilson-Doengess direct writing style, real sample data from her research methods class, integrated APA-style results, and detailed yet clear screenshots ensure that students feel confident using the program. Her exciting revision not only reflects the latest updates to SPSS and APA guidelines, but also includes new engaging step-by-step video tutorials.Georjeanna Wilson-Doenges: author's other books
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Library of Congress Cataloging-in-Publication Data
Names: Wilson-Doenges, Georjeanna, author.
Title: SPSS for research methods : a basic guide / Georjeanna Wilson-Doenges, University of WisconsinGreen Bay.
Description: Second edition. | New York, NY : W.W. Norton & Company, [2022] | Includes bibliographical references and index.
Identifiers: LCCN 2021029507 | ISBN 9780393543063 (spiral bound) | ISBN 9780393884791 (epub)
Subjects: LCSH: SPSS for Windows. | Social sciencesResearchMethodology. | Social sciencesStatistical methodsComputer programs.
Classification: LCC HA32 .W55 2022 | DDC 005.5/5dc23
LC record available at https://lccn.loc.gov/2021029507
ISBN: 978-0-393-54306-3 (pbk.)
ISBN: 978-0-393-88479-1 (ebk.)
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For my father, my inspiration
Georjeanna Wilson-Doenges is Chair and Professor of Psychology at the University of WisconsinGreen Bay. She received her Ph.D. from the University of CaliforniaIrvine. Her research interests involve individuals interpretation of sense of community, student engagement in college, experiential learning, and assessment of undergraduate psychology learning outcomes. She has taught research methods and statistics courses with an SPSS lab component for over 25 years. Year after year, she has refined her teaching to help students who are often fearful of data analysis by making her courses engaging and promoting success in even the most math-insecure students. Throughout her career, Dr. Wilson-Doenges has emphasized teaching and writing about data analysis in clear and accessible ways.
Data analysis plays a crucial role in the science of psychology. The most innovative research can be flawed by improper handling of data, while the skillful reading of results can shed new light in surprising places. To succeed in statistics and research methods coursesand to prepare themselves for whatever research they take onstudents must develop strong data analytic skills. As SPSS is one of the most commonly used software packages for data analysis in the social sciences, I wrote this guide to help students with little or no experience to quickly and independently familiarize themselves with the program basics.
Instructors often say that they prefer to focus their lectures on the content of statistics and research methods without getting bogged down in the computer skills required for data analysis. Over 25 years of teaching these courses, I have seen that covering the essentials of SPSS takes up valuable class time that would often be better spent illustrating key concepts with real-world, research-based examples. In addition, students most effectively learn the operation of SPSS by using it, hands-on, but it is difficult to teach one-on-one when there are usually at least 25 students per class.
This guide fosters SPSS skill development outside the classroom. It is easy to read and enables students to build their knowledge of the software at their own pace. The examples in each chapter walk students through all the aspects of data analysis by including the research question, a brief description of the method, the data entered, the SPSS commands relevant to the research question, the SPSS output, an interpretation of the output, and the corresponding results section written in APA style. Each step is clearly indicated by a banner in the margins, and screen shots ensure that the instructions in the text are as clear as possible. I believe that instructors will have the freedom to spend more of their class time presenting engaging content, knowing that their students have this guide to help them along the way.
Another major challenge to teaching data analysis is that students are often anxious about learning statistics and using SPSS. This guide aims to dispel those fears. Jargon-heavy, dense paragraphs, and abstract presentations of concepts can leave students feeling more than a little confused, so I consistently stayed with succinct, step-by-step explanations. The examples, which stem from topics my own students have been excited to testlike relationships between having a tattoo and perceived intelligence, or motivation and GPAshould feel familiar and compelling. The screen shots are overlaid with arrows that point to the functions necessary for each step of data analysis. Thanks to these features, students will learn to efficiently complete rigorous statistical analyses.
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