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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. Combines longitudinal and cross-sectional approach






2. 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 -






3. 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






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






5. Created multitrait-multimethod technique to determine validity of tests






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






7. Process in testing concurrent validity






8. The hypothesis that no real differences or pattern exist






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






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






11. Whether test items look like they measure the construct






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






13. Used when equivalent one cannot be isolated






14. Experimenter bias; researchers see what they want to see; minimized in double-blind






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






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






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






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






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

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






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






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






23. 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






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






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






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






27. Revised Binet scale to Stanford-Binet Intelligence Scale; also studied gifted children - those with higher IQs better adjusted






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






29. Analyses how a large group responded to each item on the measure; weeds out problematic questions with low discriminatory value; increases internal consistency






30. 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






31. 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%






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






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






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






35. 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






36. figure out how much each score differs (deviates) from the mean by subtracting the mean from each score - square each of these deviation values (to get rid of negative value) - add all these squared deviations to get the sum of square - divide sum by






37. 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






38. The most frequently occurring value






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






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






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






42. Knowing how to do something






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






44. Internal-External Locus of Control Scale






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






46. 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






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






48. Mathematically combines and summarizes overall effects or findings for a topic; best known for consolidating effectiveness of psychotherapy - can calculate overall effect size or conclusion drawn from a collection of studies; needed when conflicting






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






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