Synopses & Reviews
The Survey Kit, which has helped thousands of researchers and students do better survey research, has now been completely updated and revised. In addition to separate volumes on inperson and telephone interviews, this Second Edition includes sections on: data management; literacy and language issues; qualitative survey research techniques, including focus group interviewing and content analysis; survey ethics, including the ethical principles to use in survey development and the characteristics of survey research misconduct; factorial design and conjoint analysis; cultural considerations; translation of interviews into other languages; CAPI interviews; sample size and power; creating a complete code book; the use of database management and statistical programs; internet surveys and the characteristics of good Web reporting. Each of the 10 volumes contain checklists, warnings of things to avoid, examples of what does and doesn't work, and, new to this edition, exercises with answers and a glossary at the end of each volume.
Synopsis
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
Synopsis
Includes bibliographical references (p. 131-132).