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GRE Psychology: Measurement And Methodology

Subjects : gre, psychology
Instructions:
  • Answer 50 questions in 15 minutes.
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  • Match each statement with the correct term.
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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. Neither the subject nor the experimenter know whether the subject is assigned to the treatment or the control group






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






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






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






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






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






7. 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






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






9. Whether scores on a new measure correlate with other measures known to test the same construct; cross validation process






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






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






12. Used most commonly on standardized test






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






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






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






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






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






18. Tests the effects of two independent variables or treatment conditions at once






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






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






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






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






23. 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






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






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






26. 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






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






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






29. For children 4-6






30. 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






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






32. The hypothesis that no real differences or pattern exist






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






34. For children 6-16






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






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






37. The process of representing or analyzing numerical data






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






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






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






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






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






43. 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






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






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






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






47. Subjects alter behaviour because they are being observed






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






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






50. 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







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