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. Procedure for statistically combining results of many different research studies






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






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






4. More than one individual scores same test - regardless of who rates test - scores should be the same for _____ reliability






5. 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






6. Not rejecting null hypothesis when in fact we should have rejected it - a false negative






7. Arithmetic average of a distribution -






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






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






10. 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.






11. Experimental results caused by expectations alone; any effect on behavior caused by the administration of an inert substance or condition - which is assumed to be an active agent.






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






13. Measures whether a test looks like it tests what it is supposed to test as determined by a quick look or evaluation by a non expert






14. Statistical measure of strength of association between two variables ranging from -1.0 to 1.0






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






16. Extent to which a test measures or predicts what it is supposed to - test accuracy






17. Measure of the extent to which two factors vary together which can be positive or negative or non






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






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






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






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






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






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






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






25. Type of line graph that shows frequency distributions






26. People of different ages are compared to one another at a single point in time






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






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






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. Research project designed to discover degree to which two variables are related to each other






31. Series of steps followed to solve problems including collecting data - formulating a hypothesis - testing the hypothesis - and stating conclusions






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






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






34. Skewed distribution where data has many more scores toward the lower end of the distribution






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






36. Extent to which the findings from one group (or sample) can be generalized or applied to other groups (or population






37. 'Fake subjects' that look & behave like real subjects in study.






38. 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.






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






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






41. 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






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






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






44. Association between increases in one variable and decreases in another






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






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






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






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






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






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