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






2. In a normal distribution it tells you how far a number is above or below mean in terms of standard deviations.






3. Bell-shaped curve that results when values of a trait in a population are plotted against their frequency






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






5. 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






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






7. Arithmetic average of a distribution -






8. All cases in a group - from which samples may be drawn for a study






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






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






11. Tendency to believe - after learning an outcome - that one would have foreseen it.






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






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






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






15. Symbol used to represent the total number of subjects in a research study






16. Most frequently occurring score(s) in a distribution.






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






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






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






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






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






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






23. Any selection method that results in subset of the population (sample) that is not representative - and/or not random






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






25. When a specific word used in a question affects how respondents answer the question or the order of the questions






26. Extent to which scores suggest that a test is actually measuring an ABSTRACT theoretical idea (such as anxiety - personality - introversion - etc.).






27. If you take the same test 2x's & you get the same results it shows ______ reliability






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






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






30. The tendency for people to behave differently when they know they are being studied






31. Statement that describes how to measure a particular variable or define a particular term specifically in a study






32. Variable not relevant to what you are studying that has unplanned effect on DV. It may influence results - but all conditions are effected so it does not create bias.






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






34. Variables other than IV that participants in - one group have that makes them different - from the other group. Two variables linked together in a way that makes it difficult to sort out their specific effects.






35. Descriptive research that involves observing and recording behavior without trying to manipulate and control the situation.






36. Testable and falsifiable prediction - often implied by a theory






37. Type of line graph that shows frequency distributions






38. Correlation where as one variable increases - the other also increases - or as one decreases so does the other. Both variables move in same direction.






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






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






41. Difference between highest and lowest scores in a distribution.






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






43. Giving participants in a research study a complete explanation of the study after the study is completed needed for deception






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






45. A research method that looks like an experiment BUT subjects are not randomly assigned to control and experimental groups (no cause and effect can be drawn)






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






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






48. Extent to which a test yields consistent results - a measure is repeatable






49. A type of reliability - where different versions of same instrument are used and scores are compared






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