Presenting your data with SPSS explained
By: Perry R. Hinton and Isabella McMurray
Contributors: McMurray, Isabella, 1970- author
Publisher: Routledge, an imprint of the Taylor & Francis Group
Published: 2017
Language: eng
Number of pages: 343
ISBN-13: 9781138916593; 9781138916609
Subjects: Statistical methods; SPSS (Computer file); Social sciences; Data processing; Research
Description: "Presenting Your Data with SPSS Explained provides students with all the information they need to conduct small scale analysis of research projects using SPSS and present their results appropriately in their reports. Quantitative data can be collected in the form of a questionnaire, survey or experimental study. This book focuses on presenting this data clearly, in the form of tables and graphs, along with creating basic summary statistics. Presenting Your Data with SPSS Explained uses an example survey that is clearly explained step-by-step throughout the book. This allows readers to follow the procedures, and easily apply each step in the process to their own research and findings. -- No prior knowledge of statistics or SPSS is assumed, and everything in the book is carefully explained in a helpful and user-friendly way using worked examples. This book is the perfect companion for students from a range of disciplines including psychology, business, communication, education, health, humanities, marketing and nursing - many of whom are unaware that this extremely helpful program is available at their institution for their use." -- from back of book.
Notes: Includes index.
Table of contents: title: Preface; title: Acknowledgements; title: 1 INTRODUCTION; title: The example study used throughout the book; title: The book outline; title: 2 UNDERTAKING A RESEARCH PROJECT; title: The research process; title: Stage 1: the purpose of the research; title: Stage 2: setting up the study; title: Stage 3: carrying out the research and collecting the data; title: Stage 4: making sense of the data; title: Stage 5: Presenting the research findings; title: 3 WHAT ARE YOU MEASURING IN YOUR RESEARCH?; title: Describing your results; title: Levels of measurements: nominal, scale or ordinal data; title: Constructing nominal, scale or ordinal outcome measures; title: Coding your data for input into SPSS; title: The Sparcote study; title: 4 ENTERING YOUR DATA INTO SPSS; title: A first look at SPSS; title: Setting up the SPSS dataset (your results spreadsheet); title: Entering the data into SPSS; title: Editing the dataset; title: Transferring the results from other software into SPSS; title: A final check of your dataset; title: 5 A FIRST LOOK AT THE RESULTS; title: Opening an SPSS data file; title: The IBM SPSS statistics viewer; title: Descriptive statistics for each variable; title: The frequencies command; title: A first description of the Sparcote study results; title: Describing the results of a single variable; title: 6 CREATING TABLES; title: Creating tables in SPSS; title: Crosstabulating data; title: The crosstabs command; title: Introduction to custom tables; title: 7 CREATING GRAPHS; title: Choosing a chart; title: Using chart builder; title: Create graph; title: generating graphs from output tables; title: 8 EDITING TABLES AND GRAPHS FOR PRESENTATION; title: Editing a table; title: pivot table; title: Editing a chart; title: chart editor; title: Exporting tables and graphs to other applications; title: 9 AN INTRODUCTION TO STATISTICAL TESTS IN SPSS; title: Why perform a statistical test?; title: Undertaking statistical tests with SPSS; title: Looking for relationships between variables; title: The Chi-square test of an association between categorical variables; title: The Pearson test of a linear relationship between categorical variables; title: The t test for comparing two categories on a scale measure; title: Glossary; title: Index