Test your basic knowledge |

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






2. 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






3. Measure of fascism or authoritarian personality






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






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






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






7. Combines longitudinal and cross-sectional approach






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






9. 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






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






11. 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






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






13. 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






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






15. 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






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






17. 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






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






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






20. Used when equivalent one cannot be isolated






21. 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






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






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






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






25. 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






26. 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






27. 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






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






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






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






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






32. 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 -






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






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






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






36. 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






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






38. 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






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






40. The most frequently occurring value






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






42. Process in testing concurrent validity






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






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






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






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






47. 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






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






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. Comparing an individual'S performance on 2 halves of the same test to reveal internal consistency; internal consistency can be increased by item analysis