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Doing Survey Research: A Guide to Quantitative Research Methods
Peter M. NardiPitzer College/The Claremont Colleges

ISBN-10: 0205343481
ISBN-13:  9780205343485

Publisher:  Prentice Hall
Copyright:  2003
Format:  Paper; 240 pp
Published:  11/08/2002

This short, practical book prepares students to conduct their own survey research and write up the results, as well as read and interpret other people's research.



This product accompanies:
Nardi,  Doing Survey Research, 2/E

  • Combines statistics and survey research methods in a single book.
  • Shows how to write a questionnaire, generate a sample, analyze data, and write up the results.
  • Students get to apply what they learn by reading and interpreting excerpts from published research.
  • Teaches how to interpret statistics and make decisions about which statistics to use, without requiring any calculations.
  • Author has taught survey research methods for more than 25 years and is the editor of Sociological Perspectives, the official journal of the Pacific Sociological Association.

Each chapter begins with “Learning Goals” and concludes with “Exercises.”

Preface.


1. Why We Do Research.

Everyday Thinking.

Scientific Thinking.

The Purposes of Scientific Research.

Research Methods.



2. Finding Ideas to Research.

Generating Topics.

Searching for Research.

Literature Reviews.

Theory and Reasoning.

The Ethics of Research.



3. Designing Research: Concepts, Hypotheses, and Measurement.

Defining and Operationalizing Variables.

Levels of Measurement.

Accuracy and Consistency in Measurement.



4. Developing a Questionnaire.

Using Questionnaires in Survey Research.

Conceptualizing the Task.

Measuring Attitudes and Opinions.

Measuring Behavior.

Demographics.

Formatting the Questionnaire.

Pilot Testing the Questionnaire.

Finding Respondents.



5. Sampling.

Some Basic Sampling Concepts.

Probability Sampling.

Non-Probability Sampling.

Cross-Sectional and Longitudinal Studies.

Sample Size.



6. Presenting Data: Descriptive Statistics.

Presenting Univariate Data.

The Normal Curve and Z-Scores.



7. Analyzing Data: Bivariate Relationships.

Presenting Nominal and Ordinal Data In Tables.

Testing Bivariate Relationships.



8. Analyzing Data: Comparing Means.

T-Tests.

Analysis of Variance (ANOVA).

Differences not Strength.



9. Analyzing Data: Multiple Variables.

Elaborating Relationships: Control Variables.

Multiple Relationships.



10. Presenting Results, Making Conclusions, and Writing Reports.

Interpretations and Conclusions.

Audiences and Reports.

The Journey Finishes.



Appendix.


References.


Index.

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