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






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






3. Combines longitudinal and cross-sectional approach






4. Sorting cards into a normal distribution; each has a different statement on it about personality; to one end is 'least like self' - other is 'most like self' - and middle is neutral; factor analysis to reduce viewpoints into a few factors






5. Attitude change in response to feeling that options are limited; e.g. dislike experiment and intentionally behaving unnaturally - or being set on a certain flavour of ice cream as soon as told it is sold out






6. Used when equivalent one cannot be isolated






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






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






9. 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






10. Knowing a fact






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






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






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






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


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






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






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






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






19. Whether test really taps abstract concept being measured






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






21. 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






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






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






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






25. 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






26. Calculates how off the mean might be in either direction






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






28. 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






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






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






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






32. Used most commonly on standardized test






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






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






35. 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






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






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






38. Whether test items look like they measure the construct






39. Measure of fascism or authoritarian personality






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






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






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






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






44. For children 6-16






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






46. 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






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






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






49. 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






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