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






2. 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%






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






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






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






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






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






8. Tests whether the means on one outcome or dependent variable are significantly different across groups - height or level of anxiety from anxiety scale






9. 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






10. 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






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






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






13. 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 -






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






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






16. Combines longitudinal and cross-sectional approach






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






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






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






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






21. The process of representing or analyzing numerical data






22. 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






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






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






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






26. Measure of fascism or authoritarian personality






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






28. 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






29. How the score are spread out overall






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






31. Inactive substance or condition disguised as a treatment substance or condition - used to form control group






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






33. 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






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






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






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






37. 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






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






39. 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






40. Compares 2 groups of people like an experiment - but this is used when it is not feasible or ethical to use random assignment ex: smoker vs. cancer






41. Similar to word association - finish incomplete sentences






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






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






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






45. 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






46. Knowing how to do something






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






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






49. Aims to match demographic characteristics to population (i.e. 50% female - etc)






50. 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







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