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How to Manage, Analyze, and Interpret Survey Data

Fink Arlene G.
Heftet / 2003 / Engelsk

Produktdetaljer

ISBN
9780761925767
Publisert
2003-01-14
Utgave
2. utgave
Utgiver
Vendor
SAGE Publications Inc
Vekt
230 gr
Høyde
228 mm
Bredde
152 mm
Aldersnivå
U, 05
Språk
Product language
Engelsk
Format
Product format
Heftet
Antall sider
152

Forfatter
Fink Arlene G.

Om bidragsyterne

Arlene Fink (PhD) 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 UCLA’s Robert Wood Johnson Clinical Scholars Program and is a scientific and evaluation advisor to UCLA’s Gambling Studies and IMPACT (Improving Access, Counseling & Treatment for Californians with Prostate Cancer) programs. She consults nationally and internationally for agencies such as L’institut de Promotion del la Prévention Secondaire en Addictologie (IPPSA) in Paris, France, and Peninsula Health in Victoria, Australia. Professor Fink has taught and lectured extensively all over the world and is the author of more than 130 peer-reviewed articles and 15 textbooks.

How to Manage, Analyze, and Interpret Survey Data

Fink Arlene G.
Heftet / 2003 / Engelsk
Fink Arlene G.
Heftet / 2003 / Engelsk
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"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
Les mer
Shows how to manage survey data and become better users of statistical and qualitative survey information. This book explains the basic vocabulary of data management and statistics, and demonstrates the principles and logic behind the selection and interpretation of commonly used statistical and qualitative methods to analyze survey data.
Les mer
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 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 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 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 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
Les mer
"A useful and readable introduction to data analysis and valuable resource for the nonspecialist."

Relaterte produkter

"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
Les mer
Shows how to manage survey data and become better users of statistical and qualitative survey information. This book explains the basic vocabulary of data management and statistics, and demonstrates the principles and logic behind the selection and interpretation of commonly used statistical and qualitative methods to analyze survey data.
Les mer
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 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 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 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 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
Les mer
"A useful and readable introduction to data analysis and valuable resource for the nonspecialist."

Produktdetaljer

ISBN
9780761925767
Publisert
2003-01-14
Utgave
2. utgave
Utgiver
Vendor
SAGE Publications Inc
Vekt
230 gr
Høyde
228 mm
Bredde
152 mm
Aldersnivå
U, 05
Språk
Product language
Engelsk
Format
Product format
Heftet
Antall sider
152

Forfatter
Fink Arlene G.

Om bidragsyterne

Arlene Fink (PhD) 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 UCLA’s Robert Wood Johnson Clinical Scholars Program and is a scientific and evaluation advisor to UCLA’s Gambling Studies and IMPACT (Improving Access, Counseling & Treatment for Californians with Prostate Cancer) programs. She consults nationally and internationally for agencies such as L’institut de Promotion del la Prévention Secondaire en Addictologie (IPPSA) in Paris, France, and Peninsula Health in Victoria, Australia. Professor Fink has taught and lectured extensively all over the world and is the author of more than 130 peer-reviewed articles and 15 textbooks.

Relaterte produkter