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






2. Subjects alter behaviour because they are being observed






3. 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






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






5. 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






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






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






8. Process in testing concurrent validity






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






10. How the score are spread out overall






11. Knowing how to do something






12. Internal-External Locus of Control Scale






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






14. Studying the same objects at different points in the lifespan and provides better - more valid results than most other methods - costly - time commitment






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






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






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

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18. 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%






19. Measure innate ability to learn (debatable) - to predict later performance






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






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






22. Have order - equal intervals and a real zero ex: age






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






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






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






26. 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






27. Assess extent interests and strengths match those found by professionals in a particular job field






28. Naturalistic setting - less control over environment than in lab; generates more hypotheses than able to prove






29. 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%






30. 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






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






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






33. Every member of the population has an equal chance of being chosen for the sample






34. 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






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






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






37. Whether test items look like they measure the construct






38. 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






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






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






41. 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






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






43. Whether test really taps abstract concept being measured






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






45. 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






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






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






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






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