Test your basic knowledge |

Research Methods

Subject : business-skills
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. Subset of a population in which every element in the population has an equal chance of being selected






2. Middle score in a distribution; half scores are above it and half are below it.






3. Differences between values can be found - but is NO absolute ZERO. Examples: temperature F - time






4. Method by which participants are misinformed or misled about study's methods and purposes - must be told truth about this in debriefing






5. Procedure that ensures every person in a population has an equal chance of being chosen to participate






6. Sample that fairly represents a population because each member has an equal chance of inclusion.






7. Experimental procedure in which both research participants and research staff are ignorant about whether the research participants have received the treatment or a placebo.






8. Skewed distribution with many more scores on the higher end of the distribution






9. Expectations by researcher that might influence results of experiment or its interpretation






10. Variable that may change in response to manipulations of the IV (what is measured)






11. Relationship that exists when one set of data values increases while the other decreases






12. Form of validity in which a psychological measure is able to predict some future behavior or is meaningfully related to some other measure






13. Set of assumptions used to explain phenomena & offered for scientific study






14. Data with an absolute 0. Ratios are meaningful. (Length - Width - Weight - Distance)






15. Effects of being born and raised in a particular time or situation where all other members of your group has similar experiences makes your group unique from others






16. Type of line graph that shows frequency distributions






17. Computed measure of how much scores vary around the mean score.






18. Experimental factor that is manipulated; variable whose effect is being studied.






19. We overestimate our accuracy and our changes of success and ability to predict and explain






20. Tendency to give socially approved answers to questions about oneself.






21. Assigning participants to experimental and control conditions by chance - thus minimizing preexisting differences between those assigned to the different groups






22. Degree to which test is representative of total domain its supposed to cover.






23. Condition of experiment that exposes participants to treatment - that is - to one version of the IV






24. Data of categories only. Data cannot be arranged in an ordering scheme. (Gender - Race - Religion)






25. Statistical method for making simultaneous comparisons between two or more means






26. Symbol used for Pearson Correlation Coefficient ranges from -1.0 to +1.0






27. Research in which the same people are re-studied and re-tested over a long period






28. Percentage of scores falling at or below a specific score.






29. Graphed cluster of dots - each of which represents the values of two variables. The slope of the points suggests the direction of the relationship between the two variables.






30. The probability level which forms basis for deciding if results are statistically significant (not due to chance).






31. Researchers takes subjects & conditions as they naturally occur - with little if any control over what happens. no random assignment so no cause and effect can be determined






32. Sample drawn in such a way that known subgroups within a population are represented in proportion to their numbers in general population






33. Descriptive research technique in which one person or a small group is studied in depth in hope of revealing universal principles






34. Rejecting null hypothesis when it is actually true - a false positive






35. Repeating of research study to determine if its finding extends to other participants and circumstances






36. Measuring device or procedure designed to measure psychology-related variables. A measurement that results in a score or result that is standardized






37. A test is divided into 2 halves and scores on the halves are compared to see if test is consistent within itself. Ex. compare odds & evens






38. Data exists in categories that are ordered but differences cannot be determined or they are meaningless. (Example: 1st - 2nd - 3rd)






39. Condition of experiment that contrasts with experimental condition and serves as a comparison for evaluating the effect of the treatment.






40. In-depth - intensive investigation of individual or small group of people which involves interviews and personal interpretations by researcher. It may also be supplemented with psychological or medical tests






41. Factors in an experiment that are unchanged for both the control group and the experimental group






42. Statement of procedures used to explain research variables in enough detail to allow for replication






43. Change in subject's behavior caused simply by awareness of being studied






44. Results of experiment are SIGNIFICANT - they are not likely caused by chance






45. Relationship between variables in which as one variable increases - the other also increases - OR as one decreases so does the other. Both variables move in the same direction.






46. Tendency to overestimate extent to which others share our beliefs and behaviors






47. Research method in which info is obtained by asking many individuals a fixed set of questions






48. Perception of a correlation between variables where none exists.






49. Bar graph that shows frequency distributions






50. Occur when the questions asked on a sample survey are confusing or leading