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How to Manage, Analyze, and Interpret Survey Data

How to Manage, Analyze, and Interpret Survey Data

Second Edition

October 2002 | 152 pages | SAGE Publications, Inc

"A useful and readable introduction to data analysis and valuable resource for the nonspecialist."

--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

"The author provides an excellent introductory overview to selecting appropriate statistical tests--the purposes and prerequisites for using various statistical methods."

--Kathy Sexton-Radek, Elmhurst College

How to Manage, Analyze, and Interpret Survey Data:
Learning Objectives
Ch 1. Data Management
Drafting an Analysis Plan

Creating a Codebook

Establishing Reliable Coding

Measuring Agreement Between Two Coders:
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

Nominal Scales

Ordinal Scales

Numerical (Interval and Ratio) Scales

Independent and Dependent Variables

Checklist for Choosing a Method to Analyze Survey

Descriptive Statistics and Measures
of Central Tendency:
Numerical and Ordinal Data




Distributions: Skewed and Symmetric

Checklist: When to Use the Mean, Median,
and Mode

Measures of Spread


Standard Deviation


Interquartile Range

Guidelines for Selecting Measures of Dispersion

Guidelines for Selecting Measures of Dispersion 000
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


A Note on the Relationship Between Two Nominal

The Normal Distribution

Comparisons: Hypothesis Testing, p Values, and Confidence Levels
Confidence Levels

Guide to Hypothesis Testing,
Statistical Significance, and p Values

Risk and Odds

Odds Ratios and Relative Risk

Ch 4. Selecting Commonly Used Statistical Methods
for Surveys
Reading Computer Output


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

Do the Analysis

Relational Databases

Analysis of Open-Ended Questions: Best
and Least Liked

Suggested Readings
About the Author

"A useful and readable introduction to data analysis and valuable resource for the nonspecialist."

Cameron Lee
Fuller Theological Seminary

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