How to Manage, Analyze, and Interpret Survey Data

Name: How to Manage, Analyze, and Interpret Survey Data
Price: 6.59 USD
Availability: InStock
ISBN: 9780761925767

ISBN-10: 0761925767

ISBN-13: 9780761925767

Edition: 2nd 2002 (Revised)

Authors: Arlene G. Fink

List price: $95.00

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Description:

"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…

Book details

List price: $95.00
Edition: 2nd
Copyright year: 2002
Publisher: SAGE Publications, Incorporated
Publication date: 10/22/2002
Binding: Paperback
Pages: 152
Size: 6.00" wide x 9.00" long x 0.31" tall
Weight: 0.484

Arlene Fink (Ph.D.) is Professor of Medicine and Public Health at the University of California, Los Angeles and President of the Langley Research Institute. Her main interests include evaluation and survey research and the conduct of research literature reviews as well as the evaluation of their quality. Dr. Fink has conducted scores of evaluation studies in public health, medicine and education. She is on the faculty of UCLAï¿½s Robert Wood Johnson Clinical Scholars Program and is a scientific and evaluation advisor to UCLAï¿½s Gambling Studies and IMPACT (Improving Access, Counseling & Treatment for Californians with Prostate Cancer) programs. She consults nationally and internationally…



How to Manage, Analyze, and Interpret Survey Data: Learning Objectives



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



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 Data


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


Mean


Median


Mode


Distributions: Skewed and Symmetric


Checklist: When to Use the Mean, Median, 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


Proportion and Percentage


Ratio and Rate



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


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



Selecting Commonly Used Statistical Methods 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


Do the Analysis


Relational Databases


Analysis of Open-Ended Questions: Best and Least Liked


Exercises


Answers


Suggested Readings


Glossary


About the Author