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






2. Knowing how to do something






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






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






5. Whether test items look like they measure the construct






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






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






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






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






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






11. 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






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






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






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






15. Measure how well you know a subject - measure past learning






16. Order - variables need to be arranged by order (not necessarily equally spaced) - ex: maranthon finishers






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






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






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






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






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






22. The process of representing or analyzing numerical data






23. 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






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






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






26. 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






27. Measures the extent to which items in a measure 'hang together' and test the same thing






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






29. 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 -






30. 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






31. 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






32. Used when equivalent one cannot be isolated






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






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






35. For children 6-16






36. 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






37. Process in testing concurrent validity






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






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






40. 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






41. How the score are spread out overall






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






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






44. For children 4-6






45. Most commonly used for adults 16+ - organized by subtests with subscales and identify problem areas; current is WAIS-IV






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






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






48. 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






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






50. Tests the effects of two independent variables or treatment conditions at once







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