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August 3, 2023 | History

Presenting your data with SPSS explained

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"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.

Publish Date
Language
English
Pages
343

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Previews available in: English

Edition Availability
Cover of: Presenting your data with SPSS explained
Presenting your data with SPSS explained
2017, Routledge, an imprint of the Taylor & Francis Group
in English

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Book Details


Table of Contents

Preface
Acknowledgements
1 INTRODUCTION
The example study used throughout the book
The book outline
2 UNDERTAKING A RESEARCH PROJECT
The research process
Stage 1: the purpose of the research
Stage 2: setting up the study
Stage 3: carrying out the research and collecting the data
Stage 4: making sense of the data
Stage 5: Presenting the research findings
3 WHAT ARE YOU MEASURING IN YOUR RESEARCH?
Describing your results
Levels of measurements: nominal, scale or ordinal data
Constructing nominal, scale or ordinal outcome measures
Coding your data for input into SPSS
The Sparcote study
4 ENTERING YOUR DATA INTO SPSS
A first look at SPSS
Setting up the SPSS dataset (your results spreadsheet)
Entering the data into SPSS
Editing the dataset
Transferring the results from other software into SPSS
A final check of your dataset
5 A FIRST LOOK AT THE RESULTS
Opening an SPSS data file
The IBM SPSS statistics viewer
Descriptive statistics for each variable
The frequencies command
A first description of the Sparcote study results
Describing the results of a single variable
6 CREATING TABLES
Creating tables in SPSS
Crosstabulating data
The crosstabs command
Introduction to custom tables
7 CREATING GRAPHS
Choosing a chart
Using chart builder
Create graph
generating graphs from output tables
8 EDITING TABLES AND GRAPHS FOR PRESENTATION
Editing a table
pivot table
Editing a chart
chart editor
Exporting tables and graphs to other applications
9 AN INTRODUCTION TO STATISTICAL TESTS IN SPSS
Why perform a statistical test?
Undertaking statistical tests with SPSS
Looking for relationships between variables
The Chi-square test of an association between categorical variables
The Pearson test of a linear relationship between categorical variables
The t test for comparing two categories on a scale measure
Glossary
Index

Edition Notes

Includes index.

Classifications

Dewey Decimal Class
005.5/5
Library of Congress
HA32 .H56 2017, HA32.H56 2017

The Physical Object

Pagination
x, 343 pages
Number of pages
343

ID Numbers

Open Library
OL26926846M
Internet Archive
presentingyourda0000hint
ISBN 10
1138916595, 1138916609
ISBN 13
9781138916593, 9781138916609
LCCN
2016043195
OCLC/WorldCat
957744395

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Download catalog record: RDF / JSON
August 3, 2023 Edited by ImportBot import existing book
August 17, 2020 Edited by ImportBot import existing book
May 23, 2019 Created by MARC Bot import new book