Research Methods
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Avg score: 48% • Most missed: “Statement that describes how to measure a particular variable or define a partic…”
Research Methods
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25 Questions

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

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

3. 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

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

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

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

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

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

9. 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

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

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

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

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. Perception of relationship where none exists.

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

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

17. Type of line graph that shows frequency distributions

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

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

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

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

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

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

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

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

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