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






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






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






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






5. Describe what is seen in each of 10 inkblots; scoring is complex; validity questionable






6. 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






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






8. Comparing an individual'S performance on 2 halves of the same test to reveal internal consistency; internal consistency can be increased by item analysis






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






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






11. Critical of personality trait-theory and personality tests; felt situations (not traits) decide actions






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






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






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






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






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






17. Knowing a fact






18. Mean of Americans is standardized to 100 - with SD 15 or 16 depending on test; correlates most with IQ of biological parents and socioeconomic status






19. Process in testing concurrent validity






20. Internal-External Locus of Control Scale






21. If it is significant - same finding can be generalized to the population - use test of significant to reject null hypothesis






22. Measures the extent to which items in a measure 'hang together' and test the same thing






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






24. Normal curve - negatively skewed distribution - positively sknewed distribution - bimodal distribution - platykuric distribution






25. The effect that might result when a group is born and raised in a particular time period






26. The hypothesis that no real differences or pattern exist






27. Transformation of a z-score - mean is 50 and the SD is 10 - T=10(Z)+50






28. Combines longitudinal and cross-sectional approach






29. Might show how often different variables appear; nominal - ordinal - interval - ratio (real zero)






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






31. How the score are spread out overall






32. Numerically calculating and expressing correlation - r range -1 to +1 - 0 = no relationship






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






34. 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






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






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






37. 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 -






38. Tests the effects of two independent variables or treatment conditions at once






39. Like a histogram except that the vertical bars do not touch - various columns are separated by space






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






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






42. 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






43. Whether test really taps abstract concept being measured






44. Tell you the average extent to which scores were different from the mean - if average standard deviation is large - then scores were highly dispersed






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






46. For children 6-16






47. The process of representing or analyzing numerical data






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






49. The approach to construct assessment instruments - involves selection of items that can discriminate between various groups; responses determine if he is like a particular group or not; e.g. Strong-Campbell Interest Inventory






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