Test your basic knowledge |

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. Whether test really taps abstract concept being measured






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






3. The hypothesis that no real differences or pattern exist






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






5. 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%






6. If it is significant - same finding can be generalized to the population - use test of significant to reject null hypothesis






7. 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






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






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






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






11. 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






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






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






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






15. 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






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






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






18. Whether test items look like they measure the construct






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






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






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






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






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






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






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






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






27. Whether content covers a good sample of construct being measured






28. Knowing a fact






29. 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






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






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






32. 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






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






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






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






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






37. Mathematically combines and summarizes overall effects or findings for a topic; best known for consolidating effectiveness of psychotherapy - can calculate overall effect size or conclusion drawn from a collection of studies; needed when conflicting






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






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






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






41. 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






42. Measure of fascism or authoritarian personality






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






44. 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






45. 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






46. The process of representing or analyzing numerical data






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






48. Like a histogram except that the vertical bars do not touch - various columns are separated by space






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






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