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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. 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






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






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






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






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






6. Personality test from Jung'S theory; 93 questions 2 answers each; 4-letter personality type - each letter 1 of 2 possible opposing characteristics: Introverted vs. Extraverted - Sensing vs. Intuition - Feeling vs. Thinking - and - Judgment vs. Percep






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






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






9. 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






10. 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






11. Internal-External Locus of Control Scale






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






13. The most frequently occurring value






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






15. Used most commonly on standardized test






16. Used when equivalent one cannot be isolated






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






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






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






20. Structured - do not allow own answers; more objective than projective tests; not completely objective because most self-reported; Q-sort - Minnesota Multiphasic Personality Inventory (MMPI) - California Personality Inventory (CPI) - Myers-Brigg Type






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






22. Whether test really taps abstract concept being measured






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

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






25. 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






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






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






28. 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%






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






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






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






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






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






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






35. Subjects alter behaviour because they are being observed






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






37. Combines longitudinal and cross-sectional approach






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






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






40. Similar to word association - finish incomplete sentences






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






42. Whether test items look like they measure the construct






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






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






45. Mean is 0 - and SD=1 - This with Z-score allow you to compare one person'S score on two different distributions






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






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






48. Capable of showing order and pacing because equal spaces lie between the values - do not include real zero - ex: temperature






49. 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






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