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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. 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






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






3. Originally used with free association techniques; word called out - subject says next word in mind






4. 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






5. Use correlation coefficients in order to predict one variable y from another variable x - let you define a line on graph that describes the relationship between x and y - when the least-square line or regression line is fit to the data - basically: u






6. Internal-External Locus of Control Scale






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






8. 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






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






10. 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






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






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






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






14. When subject behave differently just because they thing that they have received the treatment substance or condition






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






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






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






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






19. 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






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






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






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






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






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






25. Measure the extent to which test measures what it intends to; concurrent - construct - content - face






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






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






28. Revised Binet'S version - used with children - organized by age level - Best known predictor of future academic achievement






29. Used when equivalent one cannot be isolated






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






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






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






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






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






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






36. A level of <0.05or <0.01 means that chance that seemingly significant errors are due to random variation rather than to true systematic variance is less than 5% or 1%






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






38. 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






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






40. 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






41. For children 4-6






42. Subjects alter behaviour because they are being observed






43. Has plotted points connected by lines - used to plot variables that are continuous (categories without clear boundaries)






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






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






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






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






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






49. 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






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