1. THE RESEARCH METHODS USED IN PSYCHOLOGY RESEARCH ENTERPRISE IN PSYCHOLOGY

2. GOALS OF THE SCIENTIFIC ENTERPRISE There are 3 interrelated goals 1: Measurement and description—how do we measure the phenomenon 2: Understanding and prediction—hypothesis, variables (measurable conditions—controlled or observed) 3: Application and control—theories (bring understanding from description and generates new predictions)

3. STEPS IN A SCIENTIFIC INVESTIGATION 1: Formulate a testable hypothesis—variables must be defined Operational definition describes actions or operations that will be used to measure or control a variable

4. STEPS 2: Select research method and design the study Depends on nature of the question Experiments, case studies, surveys, naturalistic observation, etc…

5. STEPS 3: Collect the data How data is collected depends on what is being investigated

6. STEPS 4: Analyze data and draw conclusions Statistics are used to analyze and determine the validity of the hypotheses

7. STEPS 5: Report the findings Findings usually submitted to a journal: periodical that publishes technical and scholarly material

8. ADVANTAGES OF THE SCIENTIFIC APPROACH 1: It is clear and precise 2: Intolerant of error---findings are reviewed by other skeptical researchers

9. EXPERIMENTAL RESEARCH

10. EXPERIMENT Def: a research method where a variable is manipulated under carefully controlled conditions and observes changes in that variable

11. INDEPENDENT AND DEPENDENT VARIABLES Ind. Variable: one that is changed to see its impact on another variable (controlled or manipulated) Dep. Variable: one that is affected by manipulation of the ind. variable

12. EXPERIMENTAL AND CONTROL GROUPS --Experimental Group: subjects who receive special treatment in regard to the ind. variable --Control Group: do not receive special treatment --Both groups must be similar, except in treatment

13. EXTRANEOUS VARIABLES Def: any variables other than ind. variable that seem to influence the dep. variable in a specific study Even if groups are alike there are smaller differences that could affect outcome

14. EXTRANEOUS VARIABLES Confounding of variables: when 2 variables are linked together in a way that makes it difficult to sort out their specific traits Makes it difficult to see which variable is affecting the outcome

15. HOW TO PREVENT EXTRANEOUS VARIABLES Random assignment: when subjects have an equal chance of being assigned to any group or condition in the study

16. VARIATIONS IN DESIGNING EXPERIMENTS Sometimes it is good to use only one group Instead you create control conditions and experimental conditions

17. VARIATIONS CONTINUED Manipulate more than one ind. variable in a single experiment Allows researchers to see if two variables interact

18. VARIATIONS CONTINUED Use more than one dependent variable in a single study Helps form a more complete picture

19. ADVANTAGES OF EXPERIMENTAL RESEARCH Allows conclusions about cause and effect relationships btwn variables Creates precise control Helps avoid extraneous variables

20. DISADVANTAGES OF EXPERIMENTAL RESEARCH Experiments are artificial Experimental method can not be used in some instances (ethics) Sometimes it is hard to manipulate variables

21. PERMITS RESEARCHERS TO DESCRIBE PATTERNS OF BEHAVIOR AND DISCOVER LINKS BETWEEN VARIABLES DESCRIPTIVE/ CORRELATIONAL

22. NATURALISTIC OBSERVATION Def: researcher observes w/o interfering directly Strength: experiments are less artificial Weakness: hard to remain unobtrusive

23. CASE STUDIES Def: in-depth investigation of an individual subject Includes: interviews, observation, testing Good w/psych disorders Problem: highly subjective

24. SURVEYS Def: use of questionnaires or interviews to gather info. about specific aspects of a subject’s behavior Use to gather info. hard to observe Easy to gather from a large sample

25. ADVANTAGES OF DESCRIPTIVE/CORRELATIONAL RESEARCH Broadens scope of what can be studied Covers some of what can’t w/experimental research Cannot control events Cannot demonstrate that 2 variables are casually related

26. STATISTICS: USE OF MATHEMATICS TO ORGANIZE, SUMMARIZE, AND INTERPRET NUMERICAL DATA STATISTICS AND RESEARCH

27. DESCRIPTIVE STATISTICS Used to organize and summarize data Include measure of central tendency, measures of variability, and the coefficient of correlation

28. CENTRAL TENDENCY 3 measures: 1: Median: score that falls in the center of the distribution of scores 2: Mean: avg. of scores (most useful) 3: Mode: most frequent score

29. VARIABILITY Def: how much the scores in a distribution vary from each other and from the mean Standard of deviation: an index of the amount of variability in a set of data Large variability = large standard of deviation Small variability = small s.o.d.

30. CORRELATION Def: when 2 variables are related to each other Correlation coefficient: numerical index of the degree of relationship btwn 2 variables—indicates direction of correlation and the strength of the relationship

31. POSITIVE/NEGATIVE CORRELATION Positive(+): variables co-vary in the same direction (Ex.: increased study time = increased test score) Negative(-): variables co-vary in opposite direction (Ex.: increased absences = decreased test scores)

32. STRENGTH OF CORRELATION Size of coefficient indicates strength Coefficient varies btwn 0 and +1.00 (pos.); 0 and - 1.00 (neg) Closer to zero, the weaker the relationship

33. CORRELATION AND CAUSATION Correlation does NOT mean causation

34. INFERENTIAL STATISTICS Def: used to interpret data and draw conclusions Did chance play a factor? Statistical significance: exists when the probability that the observed findings are due to chance is very low (5 chances in 100)

35. EVALUATING RESEARCH

36. REPLICATION Def: repetition of a study To test results Can change results entirely

37. META-ANALYSIS Def: combines statistical results of many studies of the same question, giving an estimate of the size and consistency of a variable’s effect Allows to test the generalizability of findings across people, places, and times and variations in procedure in a precise and objective way

38. SAMPLING Sample: collection of subjects being observed in a study Population: group from which the sample is taken

39. SAMPLING BIAS Def: exists when a sample is not representative of the population from which it was drawn

40. PLACEBO EFFECT Def: occurs when participant’s expectations lead them to experience some change even though they receive empty, fake, or ineffectual treatment

41. DISTORTIONS IN SELF-REPORT DATA Questionnaires, inventories, interviews have flaws Social desirability bias: tendency to give socially approved answers to questions about oneself

42. DISTORTIONS Response set: tendency to respond to questions in a particular way that is unrelated to the content of the questions

43. EXPERIMENTER BIAS Def: when researcher’s expectations about the outcome of a study influence the results obtained

44. DOUBLE-BLIND PROCEDURE Def: research strategy in which neither subjects nor experimenters know which subjects are in the experimental or control groups

45. DO THE ENDS JUSTIFY THE MEANS? ETHICS

46. QUESTION OF DECEPTION Deceiving in order to observe specific situations Proponents: “white lies”, not harmful to participants, benefits worth it Critics: it is lying, may diminish trust, may produce distress in subjects

47. ANIMAL RESEARCH Some treatments are unacceptable for humans Only 7-8% of all psychological studies involve animals Very controversial