Final (Lectures 8-13) Flashcards
Lecture 8: Note the features that the preexperimental designs have in common, and define and develop examples of each of the following three designs: one-shot study, one-group pretest-posttest design, and static-group comparison.
Preexperimental designs lack a key aspect of classical experimental design which makes researchers question the conclusions
One-shot study: only has an experimental group that is only post-tested
One-group pretest-posttest design: experimental group that receives both pretest and posttest but lacks a control group
Static-group comparison: has both experimental and control groups but cannot be pretested.
Lecture 8: Explain how the following factors may threaten internal validity: history, maturation, testing, instrumentation, statistical regression, selection biases, experimental mortality, casual time order, diffusion or imitation of treatments, compensation, compensatory rivalry, and demoralization.
History: the longer a study is, the more things can happen outside of the researcher’s control
Maturation: participants can change and grow
Testing: Testing and retesting on the same variable can influence participants
Instrumentation: making sure to use valid measures; sound measures
Statistical regression: participants during the baseline test who score extreme values, the next time they are tested, their score will gravitate toward the average score
Selection biases: not using random assignment; researcher has influence
Experimental mortality: participants dropping out of study; also known as attrition
Causal time order: independent variable must precede the dependent
Diffusion or imitation of treatment, Compensation, Compensatory rivalry, and demoralization: if participants find out what treatment they have been assigned (treatment or placebo) their behavior may change, changing the way they respond in the study
Lecture 8: Compare the following true experimental designs: classical design, Solomon four-group design, and posttest-only control group design.
Classical design: random assignment of participants to either the experimental or control group; give both conditions of pretest to both groups; bring experimental group back to administer the treatment; conduct posttest on the experimental group only
Solomon four-group design: same as classical experimental design with an additional experiment and control group that is added to the study, but not pretested.
Posttest-only control group design: both groups start on the same levels; not pretested; used to control problems of internal validity
Lecture 8: Describe how natural experiments occur and give two examples.
Similar to static group comparison; studies groups that naturally form then measure them on some dependent variable.
Example 1: The impact of smoking
Example 2: Observing a group impacted by natural disaster
Lecture 9: List three guidelines for good questionnaire format.
Uncluttered, using one question per line, aesthetically pleasing, avoiding double barrel questions, using contingency questions when necessary, include instructions for the questionnaire and pretest every part of it before administering it
Lecture 9: Describe the role of contingency questions and list the principles of their use.
Questions offered based on what participants answered for the previous question. Contingency questions should be separated from the natural flow of the questions and there should be clear instructions on how to answer them
Lecture 9: Describe the role of matrix questions and list the principles of their use.
Can make a questionnaire look neat and organized, leaving space and reduces the time it takes to complete the questionnaire. Matrix questions are only used if response options are the same for every single question.
Lecture 9: Present an argument for monitoring returns, and show how this can be done with the return rate graph.
Monitoring returns is only used if participants are administering the questionnaire or survey to themselves. Return rate graphs can help researchers monitor how many items were sent out versus how many they receive back. These graphs help identify when a follow up contact is needed and also helps determine the non-response bias.
Lecture 9: Give two examples of secondary analysis and/or data archives, and summarize the advantages and disadvantages of this approach.
Examples: libraries and repositories
Advantages: Low cost and availability of data
Disadvantages: Being stuck with original researcher’s view and comparing measures
Lecture 10: Identify the key strengths of field research.
Removes the idea of losing focus of the theory; gives a richer, deeper understanding of the data
Lecture 10: Compare the various roles the field researcher can assume, ranging from complete participant to complete observer.
Complete participant: complete adherence to the norms of the group; can make researcher subjective
Complete observer: left to their own interpretation; studies the natural behavior of a group without getting involved
Lecture 10: Define and illustrate the following paradigms: naturalism, ethnomethodology, grounded theory, case studies, extend case method, institutional ethnography, and participartoryr action research.
Naturalism: posivistic assumption; social behavior can be studied as it naturally unfolds
Ethnomethodology: people are continuously trying to make sense of the life they experience; violating social norms is a technique of Ethnomethodology
Grounded theory: true, inductive research; “let the data speak to me”; collect observations, find patterns, then the theory.
Case studies: complete, idiographic study; detailed study of a single instance or single individual
Extended case method: studying participants who do not fit the norm to modify existing theories
Institutional ethnography: experiences of individuals that reveal power relationships within organizations
Participatory action research: participants are given control over the purpose and procedures of the research; working with them directly to identify their needs
Lecture 10: Describe the stages in a complete interviewing process: thematizing, designing, interviewing, transcribing, analyzing, verifying, and reporting.
Thematizing: identifying what researcher wants to study
Designing: where and how does the researcher want to conduct the interview
Interviewing: interviewing participants
Transcribing: turning the interview into written form
Analyzing: reviewing the transcription for common themes
Verifying: fact check and review the information
Reporting: report findings once researcher has reached a point of saturation
Lecture 10: List advantages and disadvantages of the focus group technique.
Advantages: Socially oriented research method Flexible High face validity Speedy results Low in cost
Disadvantages:
Less control than individual interviews
Data can be difficult to analyze
Moderators must be skilled
Difference between groups can be troublesome
Groups are difficult to assemble
Discussion must be conducted in a conducive environment
Lecture 10: Provide advice for recording observations in qualitative field research.
- Do not trust your memory; Take notes while observing
- Take sketchy notes in the field and rewrite them later
- Record everything; Things that do not seem important may actually be significant
- Realize that most field notes will not be reflected in the final project