1. Chapter 2: The Research Enterprise in Psychology

2. Looking for Laws: The Scientific Approach to Behavior Basic assumption: events are governed by some lawful order Goals: –Measurement and description –Understanding and prediction –Application and control

3. Copyright © 2011 Pearson Education, Inc. All rights reserved. Goals of Psychology Description –Tells what occurred as accurately and completely as possible Explanation –An understanding of conditions –Confirmed by ruling in or out alternatives Prediction –Must Identify all antecedent conditions Influence –Apply principle prevents unwanted occurrences or bring about desired outcomes

4. Steps in a Scientific Investigation Formulate a testable hypothesis Select the research method and design the study Collect the data Analyze the data and draw conclusions Report the findings

5. Figure 2.1 Flowchart of steps in a scientific investigation

6. Table 2.1 Key Data Collection Techniques in Psychology

7. WWBCopyright © Allyn & Bacon 2006 The Scientific Method The orderly, systematic procedure that researchers follow as they – Identify a research problem – Design a study to investigate the problem – Collect and analyze data – Communicate their findings Theory A general principle or set of principles proposed to explain how a number of separate facts are related. Replication The process of repeating a study to verify research findings. Hypothesis A testable prediction about the conditions under which a particular behavior or mental process may occur.

8. Experiments Direct way to test a hypothesis about a cause-effect relationship between factors Factors are called variables One variable is controlled by the experimenter –e.g., democratic vs. authoritarian classroom The other is observed and measured –e.g., cooperative behavior among students

9. Looking for Causes: Experimental Research Experiment = manipulation of one variable under controlled conditions so that resulting changes in another variable can be observed –Detection of cause-and-effect relationships Independent variable (IV) = variable manipulated Dependent variable (DV) = variable affected by manipulation –How does X affect Y? –X = Independent Variable, and Y = Dependent Variable

10. Experimental and Control Groups: The Logic of the Scientific Method Experimental group Control group –Random assignment –Manipulate independent variable for one group only –Resulting differences in the two groups must be due to the independent variable Extraneous and confounding variables

11. WWBCopyright © Allyn & Bacon 2006 The Experimental Method Experimental Group In an experiment, the group that is exposed to the independent variable. Control Group In an experiment, the group that is exposed to the same experimental environment but IS NOT given the treatment. Used for comparison purposes.

12. Experimental Design Random sample—every member of the population being studied should have an equal chance of being selected for the study Random assignment—every subject in the study should have an equal chance of being placed in either the experimental or control group Randomization helps avoid false results

13. Figure 2.4 The basic elements of an experiment

14. WWBCopyright © Allyn & Bacon 2006 Bias in Experimental Research Confounding variables – Extraneous variables (time of day, type of subject, experimenter bias) Selection bias – Assignments to groups so systematic differences are present Random assignment – All participants have equal chance of being assigned to each condition Placebo effect – Response to treatment is due to a person’s expectations not the treatment itself Placebo – An inert substance given to control group to control for placebo effect Experimenter bias – Experimental results influenced by the researcher Double-Blind Procedure – the subjects & experimenter do not know who receives real treatment and who gets the placebo. – Neither researchers nor participants are aware of who is in the control or experimental groups

15. Find the Average: Sum the numbers and divide by 3 A.1, 11, 12 B.8, 11, -4 C.-1, 8, 23 D. 7, 9, 17 E.21, 22, -7 F.8, 16, 3 G.0, -4, 28 H.2, 10, 18

16. Review A researcher is interested in how heart rate and blood pressure are affected by viewing a violent film as opposed to a nonviolent film. IV______ DV______ Copyright © 2011 Pearson Education, Inc. All rights reserved.

17. answers A.8 B.5 C.10 D.11 E.12 F.9 G.8 H.10

18. Strengths and Weaknesses of Experimental Research Strengths: –conclusions about cause-and-effect can be drawn Weaknesses: –artificial nature of experiments –ethical and practical issues

19. Descriptive Methods Methods used when a researcher cannot manipulate the variables under study –Naturalistic observation –Case studies –Surveys Allow researchers to describe patterns of behavior and discover links or associations between variables but cannot imply causation

20. Naturalistic Observation Researchers directly observe and record behavior rather than relying on subject descriptions. In naturalistic observation researcher records behavior as it occurs naturally.

21. WWBCopyright © Allyn & Bacon 2006 Methods of Research Continued Case Study A single individual or a small number of persons are studied in great depth, usually over an extended period of time. Survey A method of study in which researchers use interviews and/or questionnaires to gather information about the attitudes, beliefs, experiences, or behaviors of a group of people.

22. Samples and Sampling Population—large (potentially infinite) group represented by the sample. Findings are generalized to this group. Sample—selected segment of the population Representative sample—closely parallels the population on relevant characteristics Random selection—every member of larger group has equal change of being selected for the study sample

24. Figure 2.10 Comparison of major research methods

25. WWBCopyright © Allyn & Bacon 2006 The Correlational Method A research method used to establish the degree of relationship (correlation) between two characteristics, events, or behaviors. Correlation Coefficient – A numerical value that indicates the strength and direction of the relationship between two variables; – Ranges from +1.00 – a perfect positive correlation - 1.00 – a perfect negative correlation

26. Coefficient of Correlation Numerical indication of magnitude and direction of the relationship between two variables –Positive correlation—two variables vary systematically in the SAME direction –Negative correlation—two variables vary systematically in OPPOSITE directions

27. Figure 2.6 Positive and negative correlation

28. WWBCopyright © Allyn & Bacon 2006 Correlation Does Not Prove Causation A correlation between two variables does not prove that a cause-effect relationships exists between them. There is a correlation between stress and illness, but that does not mean that stress necessarily causes illness.

29. WWBCopyright © Allyn & Bacon 2006 Correlation Does Not Prove Causation Temperature is correlated with snow-cone sales. As temperature increases, so does the number of snow cones sold. Is this a positive or a negative correlation? What about the corresponding correlation between temperature and coffee sales? Is it positive or negative?

30. Correlation Which of the following correlation coefficients would indicate the strongest relationship between variables? 1. a.+.58 b.+.19 c.-.97 d.-.42 2. a.-.72 b.+.70 c. -.58 d. +.62 Copyright © 2011 Pearson Education, Inc. All rights reserved.

31. Correlation The hotter the weather, the higher the crime rate. The greater a person’s self-esteem, the less likely the person is to be depressed. As a person’s level of happiness decreases, their level of helpfulness decreases. Copyright © 2011 Pearson Education, Inc. All rights reserved.

32. Figure 2.12 Ethics in research

33. Ethical Guidelines Informed consent and voluntary participation Students as participants Use of deception Confidentiality of information Information about the study and debriefing