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






2. Subset of a population in which every element in the population has an equal chance of being selected






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






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






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






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






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






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






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






10. 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






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






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






13. Perception of relationship where none exists.






14. Procedure for statistically combining results of many different research studies






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






16. 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






17. Indication of how likely a result obtained occurred by chance - expressed as p or sig.






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






19. 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.






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






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






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






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






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






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






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






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






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






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






30. Hypothesis that predicts NO relationship between variables. The aim of research is to reject this hypothesis






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






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






33. 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)






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






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






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






37. Type of line graph that shows frequency distributions






38. 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.






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






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






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






42. 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.






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






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






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






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






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






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






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






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