TRAINING Introduction to Statistical Analysis Using IBM SPSS Statistics Student Guide Course Code: 0G517 ERC 1.0 Introduction to Statistical Analysis Using IBM SPSS Statistics Licensed Materials -...

Level of measurement is an important concept in quantitative research. Explain the relationship between a variable's level of measurement and the resulting descriptive and inferential statistics that might be used for analysis. Use Tables 2.3 and 2.4 in the IBM handout to answer this question. Provide an example of variables and tests that you might perform for your study if you were to choose quantitative methodology.

­300 words minimum ­At least two scholarly citations and a reference list


TRAINING Introduction to Statistical Analysis Using IBM SPSS Statistics Student Guide Course Code: 0G517 ERC 1.0 Introduction to Statistical Analysis Using IBM SPSS Statistics Licensed Materials - Property of IBM © Copyright IBM Corp. 2010 0G517 Published October 2010 US Government Users Restricted Rights - Use, duplication or disclosure restricted by GSA ADP Schedule Contract with IBM Corp. IBM, the IBM logo and ibm.com are trademarks of International Business Machines Corp., registered in many jurisdictions worldwide. SPSS, SamplePower, and PASW are trademarks of SPSS Inc., an IBM Company, registered in many jurisdictions worldwide. Other product and service names might be trademarks of IBM or other companies. This guide contains proprietary information which is protected by copyright. No part of this document may be photocopied, reproduced, or translated into another language without a legal license agreement from IBM Corporation. Any references in this information to non-IBM Web sites are provided for convenience only and do not in any manner serve as an endorsement of those Web sites. The materials at those Web sites are not part of the materials for this IBM product and use of those Web sites is at your own risk. TABLE OF CONTENTS i Table of Contents LESSON 0: COURSE INTRODUCTION .................................................. 0-1 LESSON 1: INTRODUCTION TO STATISTICAL ANALYSIS ............. 1-1 LESSON 2: UNDERSTANDING DATA DISTRIBUTIONS – THEORY 2-1 LESSON 3: DATA DISTRIBUTIONS FOR CATEGORICAL VARIABLES ............................................................................................ 3-1 0.1 INTRODUCTION ................................................................................................................... 0-1 0.2 COURSE OBJECTIVES .......................................................................................................... 0-1 0.3 ABOUT SPSS ...................................................................................................................... 0-1 0.4 SUPPORTING MATERIALS ................................................................................................... 0-2 0.5 COURSE ASSUMPTIONS ...................................................................................................... 0-2 1.1 OBJECTIVES ........................................................................................................................ 1-1 1.2 INTRODUCTION ................................................................................................................... 1-1 1.3 BASIC STEPS OF THE RESEARCH PROCESS ......................................................................... 1-1 1.4 POPULATIONS AND SAMPLES ............................................................................................. 1-3 1.5 RESEARCH DESIGN ............................................................................................................. 1-3 1.6 INDEPENDENT AND DEPENDENT VARIABLES ..................................................................... 1-4 1.7 NOTE ABOUT DEFAULT STARTUP FOLDER AND VARIABLE DISPLAY IN DIALOG BOXES .. 1-4 1.8 LESSON SUMMARY .............................................................................................................