prac res summative

24 flashcards · Other · by Yan Cu

1. sometimes called an experimental or predictor variable

   independent

2. other names for independent variable

   experimental predictor outcome

3. is a variable that is dependent on an independent variable(s)

   dependent

4. the “cause”

   Independent variables

5. act as the “effect”

   Dependent variable

6. are those that affect the dependent variable but are not controlled adequately by the researcher

   Extraneous variables

7. are those that vary systematically with the independent variable and exert influence on the dependent variable

   Confounding variables

8. are measured on a scale that theoretically can take on an infinite number of values

   Continuous variables

9. are measured and assigned to groups on the basis of specific characteristics

   Categorical variables

10. can be converted to categorical variables

    Continuous variables

11. cannot be converted to continuous variables

    categorical variables

12. are also known as discrete or qualitative variables

    Categorical variables

13. have 2 or more categories but do not have intrinsic[basic] order

    Nominal variables

14. are nominal variables that have 2 categories or levels

    Dichotomous variables

15. that have 2 or more categories, can be ordered or ranked

    Ordinal variables

16. are also known as quantitative variables

    Continuous variables

17. can be further categorized as either interval or ratio

    Continuous variables

18. can be measured along a continuum and they have a numerical value

    Interval variables

19. examples of interval variable

    the temperature measured in degrees Celsius or Fahrenheit

20. example of ordinal variables

    Yes, a lot [most positive], They are OK [middle response], Not very much [least positive]

21. example of dichotomous variables

    o Gender [male or female] o Mobile phone ownership as either ‘yes” or “no” o Real estate: type of property classified as residential or commercial

22. example of nominal variables

    o Types of property [houses, condos, co-ops, bungalows] o People who live in the USA by state

23. are interval variables, but with the added condition that 0[zero] of the measurement indicates that there is none of that variable

    Ratio variables

24. examples of ratio variables

    height mass distance