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Survey Analysis Using IBM-SPSS

 

SURVEY ANALYSIS USING IBM-SPSS TRAINING OUTLINE

 

THE LOGIC OF SURVEY ANALYSIS

INTRODUCTION

WHAT IS SURVEY ANALYSIS?

SURVEY CHARACTERISTICS AND ANALYSIS

THE PROCESS OF SURVEY ANALYSIS

 

CREATING NEW VARIABLES: RELIABILITY AND VALIDITY

INTRODUCTION

MEASUREMENT AND ERROR

RELIABILITY

VALIDITY

INDICES AND SCALES

CONSTRUCTING AN INDEX

CONSTRUCTING A SCALE

PRINCIPLES OF FACTOR ANALYSIS

RUNNING FACTOR ANALYSIS

RELIABILITY OF SCALES

RUNNING A RELIABILITY ANALYSIS

METHODS OF SCALE CREATION

 

RELATIONSHIPS BETWEEN CATEGORICAL VARIABLES

INTRODUCTION

CROSSTABULATIONS

CREATING A CROSSTAB

DETERMINING WHETHER TWO VARIABLES ARE RELATED

CROSSTABS WITH NOMINAL VARIABLES

CHI-SQUARE TEST

STRENGTH OF A RELATIONSHIP

ADDING CONTROL VARIABLES

GRAPHICAL DISPLAY OF CATEGORICAL RELATIONSHIPS

CORRESPONDENCE ANALYSIS

 

ANALYZING INTERVAL VARIABLES

INTRODUCTION

ORDINAL OR INTERVAL?

CONFIDENCE INTERVAL

TESTING FOR GROUP DIFFERENCES

INDEPENDENT-SAMPLES T TEST

RUNNING THE ANALYSIS WITH CROSSTABS

PAIRED-SAMPLES T TEST

TESTING DIFFERENCES AMONG MORE THAN TWO GROUPS

ASSOCIATIONS BETWEEN VARIABLES

SCATTERPLOTS

CORRELATIONS

NONPARAMETRIC TESTS

 

REPORTING RESULTS

INTRODUCTION

TABLES WITH MEANS OF SEVERAL VARIABLES ACROSS GROUPS

TABLES OF MEANS WITH SEVERAL GROUPING VARIABLES

CUSTOM TABLES

GRAPHS SHOWING MEAN RATINGS WITH ERROR BARS

PERCENTAGE COMPARISONS ACROSS RATING VARIABLES

TABLES WITH SEVERAL GROUPING VARIABLES

GRAPHS SHOWING PERCENTAGES WITHIN A TARGET CATEGORY

GRAPHS SHOWING PERCENTAGES WITHIN A TARGET CATEGORY FOR SEVERAL VARIABLES

CREATING CHARTS FROM PIVOT TABLES

MULTIPLE RESPONSE TABLES

MULTIPLE RESPONSE GRAPHS

 

ANALYZING TEXT DATA

INTRODUCTION

COLLECTING TEXT DATA

CODING OPEN-ENDED ITEMS

CREATING A CODING FRAME

COMPUTER ASSISTED THEMATIC TEXT ANALYSIS

USING SPSS TEXT ANALYSIS FOR SURVEYS

USING THE CATEGORIES FILE IN SPSS

 

CLUSTERING RESPONDENTS

INTRODUCTION

CLUSTER ANALYSIS BASICS

PERFORMING A K-MEANS CLUSTER ANALYSIS

REVIEWING THE DATA

CLUSTERING WITH K-MEANS

CLUSTER VALIDATION

MISSING DATA REVISITED

 

MULTIVARIATE ANALYSIS WITH REGRESSION

INTRODUCTION

REGRESSION MODEL

LINEAR REGRESSION EXAMPLE

MULTICOLLINEARITY

LOGISTIC REGRESSION

THE LOGISTIC EQUATION

LOGISTIC REGRESSION EXAMPLE

REGRESSION WITH OPTIMAL SCALING

OPTIMAL SCALING REGRESSION EXAMPLE

 

SPECIAL PROBLEMS WITH SURVEY DATA

INTRODUCTION

MISSING DATA IN SURVEYS

POTENTIAL EFFECT OF MISSING DATA

METHODS TO HANDLE MISSING DATA

OVERALL RECOMMENDATIONS FOR HANDLING MISSING DATA

COMPLEX SAMPLE DESIGNS AND STATISTICAL ANALYSIS

 

APPENDIX A DATA FILES

GENERAL SOCIAL SURVEY

INDIANA POLL DATA

MARYLAND DATA

 

APPENDIX B SPSS DATA FILE

 

APPENDIX C DECISION TREES

INTRODUCTION

HOW DECISION TREES WORK

THE CHAID TECHNIQUE

USING CHAID TO EXPLORE RELATIONSHIPS AMONG VARIABLES

USING CHAID FOR PREDICTIVE ACCURACY

 

ANALYZING TEXT DATA

INTRODUCTION

COLLECTING TEXT DATA

CODING OPEN-ENDED ITEMS

CREATING A CODING FRAME

COMPUTER ASSISTED THEMATIC TEXT ANALYSIS

USING SPSS TEXT ANALYSIS FOR SURVEYS

USING THE CATEGORIES FILE IN SPSS

SURVEY ANALYSIS REFERENCES

SURVEY RESOURCES