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GRE Psychology: Measurement And Methodology

Subjects : gre, psychology
Instructions:
  • Answer 50 questions in 15 minutes.
  • If you are not ready to take this test, you can study here.
  • Match each statement with the correct term.
  • Don't refresh. All questions and answers are randomly picked and ordered every time you load a test.

This is a study tool. The 3 wrong answers for each question are randomly chosen from answers to other questions. So, you might find at times the answers obvious, but you will see it re-enforces your understanding as you take the test each time.
1. Describe what is seen in each of 10 inkblots; scoring is complex; validity questionable






2. Knowing how to do something






3. The most frequently occurring value






4. Data that has been counted rather than measured - usually limited to whole or positive values - ex: group size - number of hospital visit - number of symptoms






5. I when incorrectly reject null - thought significant but chance; II when incorrectly accept null - thought chance but significant






6. How well a test measures a construct; multitrait-multimethod technique determines validity; internal - external: concurrent - construct - content - face






7. Tests the same person at multiple time points and looks at changes within that person






8. Structured - do not allow own answers; more objective than projective tests; not completely objective because most self-reported; Q-sort - Minnesota Multiphasic Personality Inventory (MMPI) - California Personality Inventory (CPI) - Myers-Brigg Type






9. For ranks; determining the line that describes a linear relationship






10. For children 4-6






11. Not IQ - It is unlikely IQ captures all facets of it






12. Number of SD a score is from the mean - For normal distribution - (-3 to +3)






13. Notable for cross-cultural application and simple directions - to make the best picture of a man - scored based on detail and accuracy - not artistic talent






14. Subjects alter behaviour because they are being observed






15. Inactive substance or condition disguised as a treatment substance or condition - used to form control group






16. There is a general factor in intelligence 'g'






17. Originally to determine mental illness - now for personality; more clinical than CPI; 550 T/F/unsure questions (e.g. 'I would like to ride a horse'); discriminates between disorders; high validity because highly discriminatory items and 3 validity sc






18. Neither purely descriptive nor purely inferential - can only show relationship - not causality - positive and negative correlation






19. Measure how well you know a subject - measure past learning






20. Process in testing concurrent validity






21. Draw a person of each sex and tell a story about them






22. Used when an experiment involves more than one independent variable - can separate the effects of different levels of different variables - can isolate main effects - can identify interaction effects - ex: studying effect of brain lesion on problem s






23. Rosenthal effect; researchers see what they want to see; minimized in double-blind






24. Birth order vs. intelligence; the older - the more intelligent; the more children - the less intelligent; the greater spacing - the more intelligent






25. When subjects act in ways they think experimenter wants or expects






26. 31 cards (1 blank and 30 pictures) with interpersonal scenes (2 people facing each other); subject tells story about each which reveals aspects of personality; often measure need for achievement; interpreting terms include needs - press - personology






27. Whether content covers a good sample of construct being measured






28. Does not control - but examines how independent variable affects it






29. Give descriptive names - No order or relationship among the variables other than to separate them into groups - ex: male-female






30. Attempts to eliminate/minimize these - variables in the environment that might also effect the dependent variable and blue the effect of independent variable on the dependent variable






31. Measured by the same individual taking the same test more than once






32. Knowing a fact






33. Analyses how a large group responded to each item on the measure; weeds out problematic questions with low discriminatory value; increases internal consistency






34. Includes: testable hypothesis - reproducible experiment - operationalized definition (observable and measurable)






35. When subjects that drop out are different than those that remain; no longer random






36. Assess extent interests and strengths match those found by professionals in a particular job field






37. Personality measure for 'normal' / less clinical groups than MMPI - by Harrison Gough






38. Used when n-cases in a sample are classified into categories or cells - tell us whether the groups are significantly different in size - look at the pattern or distributions - not difference between mean - ex:intro psych class categorized into race -






39. Fluid intelligence declines with old age while crystallized intelligence does not






40. Similar to word association - finish incomplete sentences






41. The hypothesis that no real differences or pattern exist






42. Measure innate ability to learn (debatable) - to predict later performance






43. Similar to T-test - but can measure more than 2 groups






44. Measure mastery in a particular area (e.g. final exam)






45. The degree to which the result from an experiment can be applied to the population and the real world






46. Experimenter bias; researchers see what they want to see; minimized in double-blind






47. compares means of 2 different groups to see if the two groups are truly different - analyze differences between means on continuous data - particularly useful with small n - cannot test for difference between more than 2 groups






48. Naturalistic setting - less control over environment than in lab; generates more hypotheses than able to prove






49. Organize data by showing it in a meaningful way; do not allow conclusions to be drawn beyond the sample; percentiles - frequency distributions - graphs - measures of central tendency - variability






50. The process of representing or analyzing numerical data