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






2. 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






3. How a researcher attempts to examine a hypothesis - different questions call for different approaches - some approaches are more scientific than others






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






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






6. Revised Binet'S version - used with children - organized by age level - Best known predictor of future academic achievement






7. Measure arousal of sympathetic nervous system - stimulated by lying and anxiety






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






9. Whether test really taps abstract concept being measured






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






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






12. Used when equivalent one cannot be isolated






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






14. 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






15. 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






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






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






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






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






20. How well a test measures a construct; multitrait-multimethod technique determines validity; internal - external: concurrent - construct - content - face






21. Subjects alter behaviour because they are being observed






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

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






24. Empirical-keying or criterion-keying approach; to determine of subject is like a particular group or not






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






26. Allows own answer: expression of conflicts - needs - impulses; content interpreted by administrator - some more objective than others; Rorschach Inkblot Test - Thematic Apperception Test - Rosenzweig Picture-Frustration (P-F) Study - Word Association






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






28. Used most commonly on standardized test






29. 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






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






31. Numerically calculating and expressing correlation - r range -1 to +1 - 0 = no relationship






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






33. 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






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






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






36. Sorting cards into a normal distribution; each has a different statement on it about personality; to one end is 'least like self' - other is 'most like self' - and middle is neutral; factor analysis to reduce viewpoints into a few factors






37. 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






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






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






40. Describe what is seen in each of 10 inkblots; scoring is complex; validity questionable






41. 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%






42. The most frequently occurring value






43. 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 -






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






45. How the score are spread out overall






46. 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






47. The hypothesis that no real differences or pattern exist






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






49. Attempts to eliminate/minimize these - variables in the environment that might also effect the dependent variable and blue the effect of independent variable on the dependent variable






50. 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