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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. Internal-External Locus of Control Scale






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






3. 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






4. Aims to match demographic characteristics to population (i.e. 50% female - etc)






5. Different subjects of different ages are compared - faster - easier






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






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






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






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






10. The hypothesis that no real differences or pattern exist






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






12. 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






13. Knowing how to do something






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






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






16. Used when equivalent one cannot be isolated






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






18. Subjects alter behaviour because they are being observed






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






20. 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






21. 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






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






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






24. Process in testing concurrent validity






25. 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






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






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






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






29. Whether test really taps abstract concept being measured






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






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






32. Neither the subject nor the experimenter know whether the subject is assigned to the treatment or the control group






33. 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






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






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






36. The most frequently occurring value






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






38. Studying the same objects at different points in the lifespan and provides better - more valid results than most other methods - costly - time commitment






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






40. For children 4-6






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






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






43. How the score are spread out overall






44. 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






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






46. 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






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






48. Used most commonly on standardized test






49. For children 6-16






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






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