New Bulgarian University > Center for Cognitive Science > Preparatory Program > Course Description

COG309 Experimental Psychology

  1. Aims:

     

     

  2. Objectives:
    On completion of the course students should be able to:


  3. Learning strategies:



  4. Overall duration and format:
    A one semester (15 weeks) course with 2 hours lectures and 1 hour seminar.

  5. Credit hours: 3

  6. Lecturer: Prof. Encho Gerganov.

  7. Literature:
    American Psychological Association, (1982),

    Bulgarian Psychological Society (1992),

    Bowlby J. (1969),

    Campbell, D. T. ( 1957),

    Campbell, D. T., Stanley, J.C. (1963),

    Cook T.D., Campbel D.T. (1979),

    Coombs C.H., Dawes R.M., Tverski A,

    Edwards A. (1985),

    Glass G.V., Stanley J.C. (1970),

    Grawitz M. ( 1993),

    Gottsdanker R. (1982),

    Guy R., Edgley Ch., Arafat I., Allen D. (1987),

    Guerganov E.,

    Kantowitz, B.H., Roediger H.L., Elmes D.G. (1988),

    Kerlinger, F.N. (1973),

    Lassen, C.L. (1973),

    Leary M. (1991),

    McGuigan, F.J. (1983),

    Mednick, S.A. (1969),

    Robinson, P.W. (1976),

    Rosenthal R. (1976),

    Rosenthal R., Rosnow R. (Eds.) (1969),

    Schahter, S. (1959),

    Stoneman, Z. & Brody , G.H. (1983),

    Zajonc, R.B., Heingartner A., Herman E.M. (1969),


  8. Course outline:
    The course is divided into following sections:


  9. Main Topics:

    Topic 1: Experimental Psychology And Scientific Methods. The nature of science. Psychological experimentation. An application of the scientific method. An examples of a psychological experiments. What is a problem? Ways in which a problem is manifested. A problem must be solvable. The instructured problem.
    Required reading:

    Additional reading:


    Topic 2: Methods Of Data Collection. Threshold measurement. Scaling techniques. Interviews. Psychological tests. Application of data-collection methods.
    Required reading:

    Additional reading:


    Topic 3: Nonexperimental Approaches - Alternatives To Experimentation. Quasi-experimental designs. Correlational studies. Case studies. Field studies. Advantages and disadvantages of Nonexperimental designs.
    Required reading:

    Additional reading:


    Topic 4: Formulating The Hypothesis. The characteristics of an experimental hypothesis - synthetic statements, testable statements, parsimonious statements etc.The inductive model. The deductive model. Combining iduction and deduction. Building on prior research. Serendipity and the windfall hypothesis. Intuition.
    Required reading:

    Additional reading:


    Topic 5: The Basics Of Experimentation. Independent and dependent variables. Some research examples. Independent variable, environmental variables, task variables, subject variables. Dependent variables. Identifying variables. Operational definitions. Defining the independent variable: experimental operational definitions. Defining the dependent variable: measured operational definitions. Defining construct operationally. Hypothetical constructs. Defining nonconstruct variables. Defining scales of measurement, level of measurement. Ratio scale, interval scale, ordinal scale, nominal scale. Evaluating operational definitions: validity and reliability. Evaluating the experiment: internal validity, external validity. Control groups. Experimental condition, experimental group. Control condition, control group. Experiment without troue control groups. Extraneous variables and confounding. Selecting subjects.
    Required reading:

    Additional reading:


    Topic 6: Experimental Designs. Two-Group Designs. What are experimental designs? Types of experimental designs. One independent variable. Logical analysis of two-group designs. Types of two-group designs. Two independent groups designs. Random assignement. Forming independent groups. Block randomization. When to use a two independent groups design. Two matched groups design. Matching before and after an experiment. Precision matching, range matching. When to use two matched groups. Advantages and disadvantages of two-group designes.
    Required reading:

    Additional reading:


    Topic 7: Analising Results: Two Group Examples. Organising data. Summarising data: using descriptive statistics - raw data, summary data, descriptive statistics. Measures of central tendency. Measures of variability. Which test do I use? Levels of measurement. Selecting a test for a two-group experiment.The t-test. Effects of sample size. Degrees of freedom. The critical value of t. Using the t-test. The t-test for independent groups. The t-test for matched groups. Using the SPSS.
    Required reading:


    Topic 8: Experimental Designs. Within-Subjects Designs. Advantages and disadvantages of within-subjects designs: practical limitations. Inference between conditions. Origin of Small N designes. Logical analysis of Small N designs. ABA Small N designs. Other types of Small N designs. Comparison of Small N designs - Large N designs. Small N designs in the applied setting.
    Required reading:

    Additional reading:


    Topic 9: Experimental Designs. Multiple-Group Designs With One Independent Variable. Multiple-group design. Multiple independent groups design. Choosing treatments. Logical analysis of one-way ANOVAR designs using an F test. Types of ANOVAR designs. Advantages and disadvantages of one-way ANOVAR designes.
    Required reading:

    Additional reading:


    Topic 10: Experimental Designs. Factorial Designes - More Than One Independent Variable.Types of factorial designs. Statistical analysis of factorial designs. The choice of a correct error term. Main effects and interactions. The importance of interactions. Advantages and disadvantages of factorial designs.
    Required reading:

    Additional reading:


    Topic 11: Analising Results: Multiple-Group And Factorial Experiments. Analysis of variance. Within-groups variability. Between-group variability. Sourses of variability. Error. F ratio. A one-way analysis of variance. Within-groups variance. Sum of squares (SS). Mean square (MS). Between-groups variance. Grand mean. Computing and evaluating the f-ratio. Preparing a summary table. Graphing the results. Interpreting the results. Analyzing data from a factorial experiment. A two-way analysis of variance. Evaluating the ratios.
    Required reading:


    Topic 12: Controlling Extraneous Variables. Physical variables. Elimination. Constancy of conditions. Balancing. Personality variables. Response style: willingness to answer, position preference, yea-saying and nay-saying. Guarding against response style. Response set. Social variables. Demand characteristics. Controlling demand characteristics: single blind experiment, placebo effect. Experimenter bias - Rosental effect. Controlling experimenter bias: double blind experiments.
    Required reading:

    Additional reading:


    Topic 13: Controlling Within-Subjects Deesigns. Controlling for order effects, practice effects, progressive error: counterbalancing. Subjeect-by-subject counterbalancing. Across-subjects counterbalancing: complete, partial, randomized. Carryover effects. Choosing among counterbalancing procedures.
    Required reading:


    Topic 14: The Logical Bases Of Experimental Inferences. Inferences from the evideence report to the hypothesis.Generalization. Explanation. Prediction in experimentation.
    Required reading:


    Topic 15: Writting The Research Report. The written report: purpose and format. Major sections. Looking at a journal article. Preparing your manuscript: procedural details. Making revisions.
    Required reading:


    Topic 16: Research Ethics. Research ethics. Informed consent. The Bulgarian Psychological Association Guidelines. Deception and full disclosure. Debriefing. Anonymity and confidentiality. Protecting the welfare of animals subjects. Plagiarism.
    Required reading:


  10. Assessment:
    The knowledge obtainned will be evaluated by:

    Grading procedure:


  11. Prerequisites:
    Courses: "Statistics", "Psychological measurement", "Introduction of psychology".

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