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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. Similar to word association - finish incomplete sentences






2. 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






3. The age level of a person'S functioning according to the IQ test






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






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






6. Subjects alter behaviour because they are being observed






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






8. Empirical-keying or criterion-keying approach; to determine of subject is like a particular group or not






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

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10. Personality test from Jung'S theory; 93 questions 2 answers each; 4-letter personality type - each letter 1 of 2 possible opposing characteristics: Introverted vs. Extraverted - Sensing vs. Intuition - Feeling vs. Thinking - and - Judgment vs. Percep






11. Mean is 0 - and SD=1 - This with Z-score allow you to compare one person'S score on two different distributions






12. Knowing how to do something






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






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






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






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






17. figure out how much each score differs (deviates) from the mean by subtracting the mean from each score - square each of these deviation values (to get rid of negative value) - add all these squared deviations to get the sum of square - divide sum by






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






19. Created multitrait-multimethod technique to determine validity of tests






20. Whether scores on a new measure correlate with other measures known to test the same construct; cross validation process






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






22. Whether test items look like they measure the construct






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






24. Calculates how off the mean might be in either direction






25. Not simple and linear - looks like a curved line - ex: arousal and perfomance - high A --> low P - Low A --> low P - medium A --> high P






26. Developed concept of IQ and first intelligence test (Binet Scale)






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






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






29. 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






30. Step beyond correlations; allows not only identification of relationship between 2 variables - also make predictions






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






32. 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






33. 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






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






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






36. 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






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






38. How a researcher attempts to examine a hypothesis - different questions call for different approaches - some approaches are more scientific than others






39. 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






40. Allow generalization from sample to population - statistics (sample) - parameters (population): use statistics to estimate parameters






41. Allows own answer: expression of conflicts - needs - impulses; content interpreted by administrator - some more objective than others; Rorschach Inkblot Test - Thematic Apperception Test - Rosenzweig Picture-Frustration (P-F) Study - Word Association






42. For children 6-16






43. 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






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






45. 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






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






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






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






49. The hypothesis that no real differences or pattern exist






50. 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