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






2. 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






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






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






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






6. 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%






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






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






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






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






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






12. Not intelligence tests; measure sensory and motor development of infants to identify mental retardation; poor predictors of later intelligence






13. Use correlation coefficients in order to predict one variable y from another variable x - let you define a line on graph that describes the relationship between x and y - when the least-square line or regression line is fit to the data - basically: u






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






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






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






17. 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






18. Birth order vs. intelligence; the older - the more intelligent; the more children - the less intelligent; the greater spacing - the more intelligent






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






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






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






22. Used when equivalent one cannot be isolated






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






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






25. The degree to which the result from an experiment can be applied to the population and the real world






26. Internal-External Locus of Control Scale






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






28. 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






29. Measure of fascism or authoritarian personality






30. 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






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






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






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






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






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






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






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






38. How the score are spread out overall






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






40. Has plotted points connected by lines - used to plot variables that are continuous (categories without clear boundaries)






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






42. The hypothesis that no real differences or pattern exist






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






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






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






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






47. Measured by the same individual taking the same test more than once






48. 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






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






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