PSY 332 PSYCHOLOGICAL RESEARCH METHODS II

John Davis, Ph.D. Department of Psychology The Metropolitan State College of Denver

REVIEW CONCEPTS

SEMESTER: Fall 1999 Note: These concepts may change from semester to semester. However, at the beginning of a semester, they will stabilize. The list posted here at the beginning of the semester is the list of concepts on which you will be tested. Any minor changes will be discussed in class. Updated September 24, 1999 HOW TO USE THESE STUDY GUIDES. These are the concepts that will be covered on each exam. Not all of these concepts will be on an exam, but all the concepts covered will be on these lists. Concepts will be covered in class and/or on this web site. Most will be covered in both. I recommend that you know the definition or description of each term and that you be able to recognize and apply the term. For some of these concepts, you should also be able to synthesize and evaluate the concepts. Please ask in class about any terms that are not clear.

EXAM I STUDY GUIDE EXAM II STUDY GUIDE COURSE SYLLABUS OUTLINES AND DESCRIPTIONS OF RESEARCH METHODS [REVIEW CONCEPTS FOR EXAM I] [REVIEW CONCEPTS FOR EXAM II] [OUTLINES AND DESCRIPTIONS OF PSYCHOLOGICAL RESEARCH METHODS] [HOME PAGE FOR THIS COURSE] [COURSE SYLLABUS]

Orientation to research Methodological pluralism Complementarity Questions lead to methods Tool box metaphor	Overview of Research Methods (know the deep questions & some examples for each) (These links are to brief descriptions. See the separate categories on this page for longer descriptions.) Pre-Empirical (includes operational definitions, conceptual analysis, and methodlogical issues such as which design to use and research ethics) Qualitative (focuses on experience; examples are in-depth interview, participant observation, and ethnography) Descriptive-Quantitative (studies the incidence, distribution, relationship of behaviors and attitudes; examples are survey, naturalistic observation, and correlational methods) Experimental (studies cause-effect questions; includes quasi-experimental and true experimental designs) Program Evaluation (focus is on decision-making with programs; includes needs assessment, context evaluation, process evaluation, and outcome evaluation)	Philosophy of Science paradigm, paradigm shift Natural Science & Human Science assumptions of NS & HS main methods & types of data in NS & HS rigor or adequacy Terms to know: positivism reductionism mechanism constructionism phenomenology
Qualitative research characteristics of qual research accuracy, credibility, faithfulness dealing with bias & objectivity analyzing qualitative data cross-check	Research ethics central ethical principle confidentiality informed consent debriefing

EXAM 2
You may also go to the Outlines and Descriptions page for a listing of major topics.

Orientation to research Complementarity Methodological pluralism assumptions of NS & HS methods & data in NS & HS rigor or adequacy	Overview of Research Methods (deep questions & examples for each) (These links are to brief descriptions. See the separate categories on this page for longer descriptions.) Pre-Empirical Qualitative Descriptive Experimental Evaluation Research	Survey research characteristics of survey research demand characteristics reactivity random sampling stratified sampling
Correlational research worldview of correlational research bivariate correlation multiple regression factor analysis correlation and causation (2 views)	Variables in experimental designs independent variable dependent variable random variable control variable confounding variable	Rigor in exp designs internal validity external validity reliability
Alternative hypotheses subject or selection effect history effect maturation effect demand characteristics placebo effect blind & double-blind designs Hawthorne effect experimenter bias regression artifact attrition (mortality) effect	Experimental designs pre-experimental designs quasi-experimental designs time-series design non-equivalent groups design static groups design multiple time-series design true experimental designs between-groups design repeated measures design mixed or complex designs	Single-subject designs ABA or reversal design ABAB design changing baseline design
Types of evaluation research needs assessment context evaluation formative evaluation summative evaluation process evaluation outcome evaluation	Issues in Evaluation Research statistical significance clinical significance cost-benefit analysis cost-effectiveness stakeholders goals objectives means measures

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