Definition of Survey Research
Transcription
Definition of Survey Research
Research Methods for the Behavioral Sciences, Dr. Rosalyn M. King, Professor Definition of Survey Research Survey research involves acquiring information about one or more groups of people—perhaps about their characteristics, opinions, attitudes, or previous experiences—by asking them questions and tabulating their answers. The ultimate goal is to learn about a large population by surveying a sample of that population; thus, we might call this approach a descriptive survey or normative survey. The researcher poses a series of questions to willing participants; summarizes their responses with percentages, frequency counts, or more sophisticated statistical indexes; and then draws inferences about a particular population from the responses of the sample. Definition of Survey Research People are telling us what they believe to be true. This may or may not be the case. People can construct their own ideas about something that may not represent the truth. This may be a downfall of survey research. Survey research employs face-to-face interviews, telephone interviews or a written questionnaire. Face to Face and Telephone Interviews In a structured interview the researcher asks a standard set of questions and nothing more. In a semi-structured interview, the research may follow the standard questions, with one of more individually tailored questions to get clarification or probe a person’s reasoning. Face-to-face interviews enables the researcher to establish rapport with potential participants and gain their cooperation. Therefore, they yield the highest response rates. Use of Questionnaires Questionnaires are paper and pencil, telephone or digital instruments that ask questions to participants about particular issues. Questionnaires can also make use of checklists and rating scales. A checklist is a list of behaviors, characteristics, or other entities that a researcher is investigating. The researcher (or participants, depending on the study) simply checks whether each item on the list is observed, present, or true, or is not observed, present or true. A rating scale is more useful when a behavior, attitude, or other phenomenon of interest needs to be evaluated on a continuum of “inadequate” to “excellent,” “never” to “always,” or “strongly disapprove” to “strongly approve.” Guidelines for Constructing a Questionnaire See Guidelines on page 194 (Leedy & Ormrod). See Guidelines in Handout: Preparing a Questionnaire for Administration (Questionnaire Research). See Table 9.1, page 197, Guide for Construction of a Questionnaire (Leedy & Ormrod). See Figure 9.4,p. 199, An annotated letter of inquiry (Leedy & Ormrod). See Figure 9.6, p. 201,Questionnaire Response Card (Leedy & Ormrod). See Figure 9.7, p.201 Follow-up letter (Leedy & Ormrod). Guidelines for Constructing the Survey Instrument Give the Questionnaire a Title Prepare an introduction Group the items by topic Conclude with a thank you and contact information. Preparing the Questionnaire for Administration Steps: Write a descriptive title for the questionnaire. Write an introduction to the questionnaire. Group the items by content, and provide a subtitle for each group. Within each group of items, place items with the same format together. At the end of the questionnaire, indicate what respondents should do next. Prepare an informed consent form, if needed. If the questionnaire will be administered in person, consider preparing written instructions for the administrator. Field Test the Survey Instrument You must field test the instrument before administering the survey. See handout and guidelines on how to field test survey instruments. See questions to be asked of the survey instrument. Prepare Sampling Methodology Learn Sampling Designs Select an appropriate sampling design. Develop sampling frame. Sampling Designs Probability Sampling and Non Probability Sampling. In probability sampling, the researcher can specify in advance that each segment of the population will be represented in the sample. In non probability sampling one can not claim that a sample is representative. Much less complicated, less expensive and can be done at the spur of the moment. Can take advantage of whoever is available. Sampling Designs-Probability Random selection=choosing a sample in such a way that each member of the population has an equal chance of being selected. Simple random sampling=sampling without replacement. Systematic Sampling Stratified Random Sampling Proportional Stratified Sampling Cluster Sampling Sampling Design-Non Probability Convenience Sampling Quota Sampling Dimensional Sampling Purposive Sampling Snowball Sampling See Handout on Types of Sampling Sampling Bias The selection may not represent the entire spectrum of the general population. Individuals in the lower economic strata of the population may not be adequately represented. Always acknowledge the possibility of sampling bias. See page 216, Acknowledging the Presence of Bias. See page 217: Practical Application-Population Analysis for a Descriptive Survey. See page 218, for important questions to ask. All cited in Leedy and Ormrod (2010). Analysis of Survey Data See Chapters 11-13 in Conducting a Survey: Techniques for a Term Project, [Orcher, Lawrence T. (2007) Pyrczak Publishing, pp. 91112.] Writing the Report See Chapter 14-Writing a Survey Research Report in Conducting a Survey (citation above).