METHODS IN BEHAVIORAL RESEARCH

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Presentation transcript:

METHODS IN BEHAVIORAL RESEARCH NINTH EDITION PAUL C. COZBY Copyright © 2007 The McGraw-Hill Companies, Inc.

LEARNING OBJECTIVES Discuss reasons for conducting research Identify factors to consider when writing questions for interviews and questionnaires, including defining research objectives and question wording Describe different ways to construct questionnaire responses, including closed-ended questions, open-ended questions, and rating scales

ASKING PEOPLE ABOUT THEMSELVES SURVEY RESEARCH CHAPTER 7 ASKING PEOPLE ABOUT THEMSELVES SURVEY RESEARCH

LEARNING OBJECTIVES Compare the two ways to administer surveys: written questionnaire and oral interviews Define interviewer bias Describe a panel study Distinguish between probability and nonprobability sampling techniques

LEARNING OBJECTIVES Describe simple random sampling stratified random sampling, and cluster sampling Describe haphazard sampling, purposive sampling, and quota sampling Describe the ways that samples are evaluated for potential bias, including sampling frame and response rate

WHY CONDUCT SURVEYS? Provides a methodology for ask people to tell about themselves Way to study relationships among variables and ways that attitudes and behaviors change over time Provides useful information for making public policy decisions Important complement to experimental research findings

CONSTRUCTING QUESTIONS TO ASK Defining the Research Objectives Attitudes and beliefs Facts and demographics Behaviors

CONSTRUCTING QUESTIONS TO ASK Question Wording Potential problems that stem from difficulty understanding the question: - Vague or imprecise terms - Ungrammatical sentence structure - Phrasing that overloads working memory - Embedding the question with misleading information

CONSTRUCTING QUESTIONS TO ASK Important considerations when writing questions: Simplicity Double-barreled questions Loaded questions Negative wording Yea-saying and nay-saying

RESPONSES TO QUESTIONS Closed- Versus Open-Ended Questions Number of Response Alternatives Rating Scales Graphic rating scale Semantic differential scale Nonverbal scale for children    Labeling Response Alternatives

FINALIZING THE QUESTIONNAIRE Formatting the Questionnaire Should appear attractive and professional Neatly typed and free from errors Use point scales consistently Refining Questions Proof questions with others

ADMINISTERING SURVEYS Questionnaires Personal administration to groups or individuals Mail surveys Internet surveys Other technologies “Computerized experience-sampling”

ADMINISTERING SURVEYS Interviews Face-to-face interviews Telephone interviews Focus group interviews Problem: Interviewer bias

SURVEY DESIGNS TO STUDY CHANGES OVER TIME Questions Are the Same Each Time Surveyed Tracks Changes Over Time Panel Study “Two wave” “Three wave”

SAMPLING FROM A POPULATION Confidence Intervals Percentage of confidence that the true population value lies within an interval of the obtained sample Sampling error or margin of error Sample Size A larger sample size reduces the size of the confidence interval

SAMPLING TECHNIQUES Two basic techniques for sampling Probability Sampling Each member of the population has a specifiable probability of being chosen Nonprobability sampling Unknown probability of any member being chosen

SAMPLING TECHNIQUES Probability sampling Simple random sampling – equal probability Stratified random sampling – divided into subgroups (strata) and random samples are taken from each strata Cluster sampling – identify clusters and sample from three clusters

SAMPLING TECHNIQUES Nonprobability Sampling Haphazard sampling – convenience sampling Purposive sampling – sample meets predetermined criterion Quota sampling – sample reflects the numerical composition of various subgroups in the population

© 2007 The McGraw-Hill Companies, Inc.

© 2007 The McGraw-Hill Companies, Inc.

EVALUATING SAMPLES Representative of the population Sampling Frame - Actual population from which the sample is drawn Response Rate - % of respondents who complete Reasons for Using Convenience Samples Less costly Can be representative