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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. 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






2. Whether test items look like they measure the construct






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






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






5. 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






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






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






8. 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






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






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






11. 34.13% - 13.59% - 2.02% - 0.26% and - +3 99.74% - +2 97.72% - +1 84.13% - 0 50.00% - -1 15.87% - -2 2.28% - -3 0.26%






12. Fluid intelligence declines with old age while crystallized intelligence does not






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






14. Knowing how to do something






15. The most frequently occurring value






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






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






18. 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%






19. The process of representing or analyzing numerical data






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






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

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






23. 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






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






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






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






27. Like a histogram except that the vertical bars do not touch - various columns are separated by space






28. Whether test really taps abstract concept being measured






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






30. Organize data by showing it in a meaningful way; do not allow conclusions to be drawn beyond the sample; percentiles - frequency distributions - graphs - measures of central tendency - variability






31. Knowing a fact






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






33. 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 -






34. How the score are spread out overall






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






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






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






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






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






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






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






42. 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






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






44. 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






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






46. For children 6-16






47. The hypothesis that no real differences or pattern exist






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






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






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