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






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






3. Used most commonly on standardized test






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






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






6. 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






7. 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






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






9. 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






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






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






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






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






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






15. Frequency polygon (continuous variables) - histogram/ bar graph (discrete)






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






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






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






19. Knowing a fact






20. 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






21. 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






22. Subjects alter behaviour because they are being observed






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






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






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






26. Used when equivalent one cannot be isolated






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






28. How the score are spread out overall






29. 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






30. 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






31. Not to diagnose depression but assess severity of depressive symptoms; used by researcher or clinician to track course of depressive symptoms






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






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






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






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






36. 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






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






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






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






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






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






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






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






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






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






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






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






48. 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






49. For children 4-6






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