psych610 | Graduate
Research Methods In Psychology
This graduate-level course is 8 This course is available as part of a degree or certificate program. To enroll, speak with an Enrollment Representative.
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Observational Methods and Survey Research
- Describe different survey administration methods.
- Contrast probability and non-probability sampling techniques.
- Describe how interviewer bias may influence results.
- Contrast qualitative and quantitative methods.
- Define survey research and discuss when it is most appropriate.
- Describe the relationship between sample size and survey results.
- Identify important issues of survey construction.
Relevance and Application to the Profession of Psychology
- Define meta-analyses and how they are used by practitioners and scholars.
- Summarize the main points of the course, emphasizing the importance of research to the profession of psychology.
Basic Statistical Concepts
- Explain methods used to describe and summarize research results.
- Explain how measures of central tendency and variability are used to evaluate data.
- Determine statistics used to describe relationships and strength of association between variables.
- Describe the purpose of the multiple regression analysis.
- Explain the use of multiple correlation techniques in prediction models.
- Explain how effect size is used to determine interpret results.
Experimental Designs-Part I
- Contrast independent and dependent variables.
- Distinguish between main effects and interactions.
- Contrast experimental research designs.
- Identify different types of variables used in experimental research and ways in which variables are manipulated.
- Explain the effects of experimenter bias on outcomes.
- Define the key features of a factorial design.
- Explain the role of moderator variables on results.
- Define key concepts related to experimental design.
- Define probability and discuss how it relates to the concept of statistical significance.
- Explain the concept of power as it relates to statistical tests.
- Describe the general criteria used by researchers to select appropriate statistical tests for a given purpose.
- Describe how inferential statistics are used to draw conclusions about populations.
- Review the differences between the null and the alternative/research hypothesis.
- Differentiate between Type I error and Type II error.
Variables, Measurement, and Instrumentation
- Describe the problem of reactivity in measurement.
- Explain how variables are operationally defined in research.
- Describe different relationships between variables.
- Distinguish between correlation and causation.
- Define key measurement concepts.
- Differentiate between construct validity, internal and external validity.
- Describe the concept of ‘generalizability.’
- Examine the importance of replication in research and the role of selection and assignment methods.
- Discuss potential problems related to generalization of results to different cultures or ethnic groups.
Introduction to the Critical Evaluation of Research
- Explain the importance of research in the behavioral sciences.
- Apply the scientific method to evaluate behavioral science research.
- Define key concepts of behavioral sciences research.
- Articulate the relationships among theory, practice, and research in the behavioral sciences.
- Identify appropriate sources of research articles, including peer-reviewed journals and library databases.
- Identify key ethical issues in research.
- Explain the function of Institutional Review Boards (IRBs).
Experimental Designs-Part II
- Examine the implications of confounding variables.
- Describe the limitations of one-group posttest and one-group pretest only designs.
- Explain the differences between longitudinal, cross-sectional, and sequential research designs.
- Contrast the different types of evaluations related to program evaluation research.
- Define single-case designs.
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