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






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






3. Combines longitudinal and cross-sectional approach






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






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






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






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






8. 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






9. 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






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






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






12. Used most commonly on standardized test






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






14. Similar to word association - finish incomplete sentences






15. When people agree with opposing statements; giving tacit agreement






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






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






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






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






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






21. Interest in the effect of independent variable on the dependent variable - often manipulated by applying it in experimental or treatment condition and withholding it from control condition






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






23. 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






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






25. Overall range or spread - most basic measure of variability - subtracts the lowest value from the highest value in a data set






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






27. Cartoons in which one person is frustrating another; asked to describe how the frustrated person responds






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






29. Measure mastery in a particular area (e.g. final exam)






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






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






32. 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






33. Knowing a fact






34. 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 -






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

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36. Whether test items look like they measure the construct






37. 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






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






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






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






41. Internal-External Locus of Control Scale






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






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






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






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






46. The most frequently occurring value






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






48. 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






49. 31 cards (1 blank and 30 pictures) with interpersonal scenes (2 people facing each other); subject tells story about each which reveals aspects of personality; often measure need for achievement; interpreting terms include needs - press - personology






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