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COG309 Experimental Psychology
Ethical Principles in the conduct of research with human partitipants, Washington.
Bulgarian Psychological Society (1992),
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Bowlby J. (1969),
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Campbell, D. T. ( 1957),
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Campbell, D. T., Stanley, J.C. (1963),
Experimental and Quasiexperimental designs for research, Chicago: Rand McNally.
Cook T.D., Campbel D.T. (1979),
Quasi-Experimentation. Design and Analysis Issues for Field Settings, Rand McNally College Publishing Company, Chicago.
Coombs C.H., Dawes R.M., Tverski A,
Psychologie mathématique, P.U.F., 1975.
Edwards A. (1985),
Experimental Design in psychological research, Harper & Row, Publishers, NY.
Glass G.V., Stanley J.C. (1970),
Statistical Methods in Education and Psychology, Prentice-Hall, Inc. Englewood Cliffs, NJ (in russian Progress, Moskva, 1976).
Grawitz M. ( 1993),
Méthodes des sciences sociales, Précis Dalloz.
Gottsdanker R. (1982),
Experimenting in Psychology, Prentice-Hall, NJ..
Guy R., Edgley Ch., Arafat I., Allen D. (1987),
Social Research Methods. Puzzles and Solutions, Allin & Bacon, Inc.
Guerganov E.,
Memory and sense, Nouka I iskustvo, 1986.
Kantowitz, B.H., Roediger H.L., Elmes D.G. (1988),
Experimental Psychology. Understanding Psychological Research.
Kerlinger, F.N. (1973),
Foundations of Behavioral Research, (2 th ed.), NY: Holt, Rinehart, and Winston.
Lassen, C.L. (1973),
Effect of proximity on anxiety and communication in the initial psychiatric interviez, Journal of Abnormal Psychology, 81, 226-232.
Leary M. (1991),
Introduction to Behavioral Research Methods, Wadsworth Publishing Company, California.
McGuigan, F.J. (1983),
Experimental Psychology, (4th ed.). Englewood Cliffs, NJ: Prentice-Hall.
Mednick, S.A. (1969),
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Robinson, P.W. (1976),
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Rosenthal R. (1976),
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Rosenthal R., Rosnow R. (Eds.) (1969),
Artifact in behavioral research, NY: Academic Press.
Schahter, S. (1959),
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Stoneman, Z. & Brody , G.H. (1983),
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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:
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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:
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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.
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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:
Grading procedure: