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






2. Attempt to measure less-defined properties (e.g. intelligence) - check for reliability and validity






3. 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






4. Not intelligence tests; measure sensory and motor development of infants to identify mental retardation; poor predictors of later intelligence






5. (Mental age/chronological age)/100 - Highest age = 16


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






7. Order - variables need to be arranged by order (not necessarily equally spaced) - ex: maranthon finishers






8. Knowing a fact






9. When subjects do and say what they think puts them in a favorable light -ex: reporting they are not racist even if they really are






10. The hypothesis that no real differences or pattern exist






11. Mean (standard error of mean) - median mode; normal and platykuric: equal; positively skewed: mode - med - mean; negatively skewed: mean - med - mode; bimodal: equal mean and med - 2 modes






12. How stable measure is; test-retest - split-half






13. Subjects alter behaviour because they are being observed






14. Intelligence in relation to performance; pioneered development of psychometrics - 'no intelligence is culture-free'






15. Capable of showing order and pacing because equal spaces lie between the values - do not include real zero - ex: temperature






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






17. Consist of vertical bars in which the sides of the vertical bars touch - useful for discrete variables that have clear boundaries - interval variables in which there is some order






18. Most commonly used for adults 16+ - organized by subtests with subscales and identify problem areas; current is WAIS-IV






19. When people agree with opposing statements; giving tacit agreement






20. For children 4-6






21. How much variation there is among n number of scores in a distribution






22. Neither the subject nor the experimenter know whether the subject is assigned to the treatment or the control group






23. How the score are spread out overall






24. The degree to which an independent variable can predict a dependent variable






25. Created to determine whether a person feels responsible for things that happen (internal) or no control over events in life (external)






26. Tests whether at least 2 groups co-vary - can adjust for preexisting differences between groups






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






28. Population --> sample/subgroup --> representative and unbiased --> achieved through random sampling --> if it'S not feasible - use convenience sampling instead or stratified sampling






29. Interest in the effect of independent variable on the dependent variable - often manipulated by applying it in experimental or treatment condition and withholding it from control condition






30. Measure arousal of sympathetic nervous system - stimulated by lying and anxiety






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






32. Different subjects of different ages are compared - faster - easier






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






34. The process of representing or analyzing numerical data






35. Tests whether the means on one outcome or dependent variable are significantly different across groups - height or level of anxiety from anxiety scale






36. Cartoons in which one person is frustrating another; asked to describe how the frustrated person responds






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






38. Studying the same objects at different points in the lifespan and provides better - more valid results than most other methods - costly - time commitment






39. Overall range or spread - most basic measure of variability - subtracts the lowest value from the highest value in a data set






40. 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 -






41. Process in testing concurrent validity






42. Revised Binet scale to Stanford-Binet Intelligence Scale; also studied gifted children - those with higher IQs better adjusted






43. Sorting cards into a normal distribution; each has a different statement on it about personality; to one end is 'least like self' - other is 'most like self' - and middle is neutral; factor analysis to reduce viewpoints into a few factors






44. Takes place in controlled setting must be able to control for: independent variable - dependent variable - and confounding variable






45. Anything that is measured such as height or depression score on a depression scale






46. When relationship inferred when there is none - ex: many people think there is a relationship between physical and personality characteristics - when evidence show there is none






47. Compares 2 groups of people like an experiment - but this is used when it is not feasible or ethical to use random assignment ex: smoker vs. cancer






48. For even number of values in the set - take the average of the two middle value






49. Whether test items look like they measure the construct






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