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






2. 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






3. Bell curve; larger the sample - greater chance of having a normal distribution






4. Knowing how to do something






5. 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






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






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






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






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






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






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






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






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






14. 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






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






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






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






18. 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






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






20. 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






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






22. 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






23. Process in testing concurrent validity






24. Used when equivalent one cannot be isolated






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






26. Whether test items look like they measure the construct






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






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






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






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






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






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






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






34. Compares 2 groups of people at the same time point






35. Attitude change in response to feeling that options are limited; e.g. dislike experiment and intentionally behaving unnaturally - or being set on a certain flavour of ice cream as soon as told it is sold out






36. 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






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






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






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






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






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






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






43. 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






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






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






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






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






48. 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






49. 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






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