This book examines ways to analyze complex surveys, and focuses on the problems of weights and design effects. This new edition incorporates recent practice of analyzing complex survey data, introduces the new analytic approach for categorical data analysis (logistic regression), reviews new softwar
Processing Data: The Survey Example (Quantitative Applications in the Social Sciences)
โ Scribed by Linda B. Bourque, Virginia A. Clark
- Publisher
- Sage Publications, Inc
- Year
- 1992
- Tongue
- English
- Edition
- 1
- Category
- Library
No coin nor oath required. For personal study only.
โฆ Synopsis
This volume highlights the theory that decisions made during the design of a data collection instrument influence the kind of data and the format of the data that are available for analysis. Opening with a discussion on the selection of the data collection technique(s) and how this impacts on data processing and the data for later analysis, the book covers key issues such as: should you create your own instrument for a questionnaire? how do you test a questionnaire? what are the characteristics of good data processing? how to deal with missing data? how to scale an evaluation and create subfiles for analysis? In addition, each major section concludes with examples and when appropriate, directs the reader to commonly available computer software that can aid in data processing.
๐ SIMILAR VOLUMES
Reviews sampling methods used in surveys: simple random sampling, systematic sampling, stratification, cluster and multi-stage sampling, sampling with probability proportional to size, two-phase sampling, replicated sampling, panel designs, and non-probability sampling. Kalton discusses issues of pr
Repeated surveys -- a technique for asking the same questions to different samples of people -- allows researchers the opportunity to analyze changes in society as a whole. This book begins with a discussion of the classic issue of how to separate cohort, period, and age effects. It then covers meth
An introduction to a variety of techniques that may be used in the analysis of data from a panel study -- information obtained from a large number of entities at two or more points in time. The focus of this volume is on analysis rather than problems of sampling or design, and its emphasis is on app
What techniques can social scientists use when an outcome variable for a sample is not representative of the population for whom they would like to generalize the results? This book provides an introduction to regression models for such data including censored, sample-selected and truncated data.
Survey Questions is a highly readable guide to the principles of writing survey questions. The authors review recent research on survey questions, consider the lore of professional experience and finally present those findings which have the strongest implications on writing these questions.