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How to Manage, Analyze, and Interpret Survey Data
Second Edition
- Arlene Fink - UCLA, Los Angeles, USA
Other Titles in:
Survey Research
Survey Research
January 2003 | 152 pages | SAGE Publications, Inc
''''&BAD:quot;A useful and readable introduction to data analysis and valuable resource for the nonspecialist.&BAD:quot;''--Cameron Lee, Fuller Theological Seminary''Clearly written with useful checklists, guidelines, and examples, How to Manage, Analyze, and Interpret Survey Data shows readers how to manage survey data and become better users and consumers of statistical and qualitative survey information. Fink explains the basic vocabulary of data management and statistics, and then demonstrates the principles and logic behind the selection and interpretation of commonly used statistical and qualitative methods to analyze survey data: from cleaning the data to measurement scales through to how to read computer output and judge significance using confidence intervals. Thoroughly reorganized and revised, the book now includes coverage of:''· How to organize and manage data for analysis ''· How to draft an analysis plan ''· How to define and format a data file''· How to create a complete code book, including how to establish the reliability of the coding''· How to calculate the odds ratio and risk ratio''· How to do the basic steps in a content analysis of qualitative data''· How to recognize and deal with missing data and outliers for recoding''· How to enter data accurately into spreadsheets, database management programs, and statistical programs''&BAD:quot;The author provides an excellent introductory overview to selecting appropriate statistical tests--the purposes and prerequisites for using various statistical methods.&BAD:quot;''--Kathy Sexton-Radek, Elmhurst College
How to Manage, Analyze, and Interpret Survey Data:
Learning Objectives
Learning Objectives
Ch 1. Data Management
Drafting an Analysis Plan
Creating a Codebook
Establishing Reliable Coding
Measuring Agreement Between Two Coders:
The Kappa Statistic
The Kappa Statistic
Reviewing Surveys for Missing Data
Entering the Data
Cleaning the Data
Some Surveys Have Not Been Returned
Some Returned Surveys Have Data Missing
Some People Are Outliers
Some Data Need to Be Recoded
Ch 2. What Statistics Do for Surveys
Measurement Scales: Nominal, Ordinal,
and Numerical
and Numerical
Nominal Scales
Ordinal Scales
Numerical (Interval and Ratio) Scales
Independent and Dependent Variables
Checklist for Choosing a Method to Analyze Survey
Data
Data
Descriptive Statistics and Measures
of Central Tendency:
Numerical and Ordinal Data
of Central Tendency:
Numerical and Ordinal Data
Mean
Median
Mode
Distributions: Skewed and Symmetric
Checklist: When to Use the Mean, Median,
and Mode
and Mode
Measures of Spread
Range
Standard Deviation
Percentile
Interquartile Range
Guidelines for Selecting Measures of Dispersion
Guidelines for Selecting Measures of Dispersion 000
Descriptive Statistics and Nominal Data
Descriptive Statistics and Nominal Data
Proportion and Percentage
Ratio and Rate
Ch 3. Relationships and Comparisons
Numerical Data
Calculating the Correlation Coefficient
Size of the Correlation
Ordinal Data and Correlation
Regression
A Note on the Relationship Between Two Nominal
Characteristics
Characteristics
The Normal Distribution
Comparisons: Hypothesis Testing, p Values, and Confidence Levels
Confidence Levels
Confidence Levels
Guide to Hypothesis Testing,
Statistical Significance, and p Values
Statistical Significance, and p Values
Risk and Odds
Odds Ratios and Relative Risk
Ch 4. Selecting Commonly Used Statistical Methods
for Surveys
for Surveys
Reading Computer Output
Chi-Square
t Test
Analysis of Variance (ANOVA)
Practical Significance: Using Confidence Intervals
Content Analysis of Qualitative Survey Data
Assemble the Data
Learn the Contents of the Data
Create a Codebook
Create a Codebook 000
Enter and Clean the Data
Enter and Clean the Data
Do the Analysis
Relational Databases
Analysis of Open-Ended Questions: Best
and Least Liked
and Least Liked
Exercises
Answers
Suggested Readings
Glossary
About the Author
"A useful and readable introduction to data analysis and valuable resource for the nonspecialist."
Fuller Theological Seminary
