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GRE Psychology: Measurement And Methodology

Subjects : gre, psychology
Instructions:
  • Answer 50 questions in 15 minutes.
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  • 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. Measure the extent to which test measures what it intends to; concurrent - construct - content - face






2. 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






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






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






5. 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






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






7. Used most commonly on standardized test






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






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






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






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






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






13. 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






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






15. 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






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






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






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






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






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






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






22. Used when equivalent one cannot be isolated






23. Subjects alter behaviour because they are being observed






24. The process of representing or analyzing numerical data






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






26. Knowing a fact






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






28. 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






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






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






31. 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






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






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






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






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






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






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. For children 6-16






39. For children 4-6






40. 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%






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






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






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






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






45. 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 -






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






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






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






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






50. 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






Can you answer 50 questions in 15 minutes?



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