Practice final exam

PRACTICE EXAM

1. Matthew is a US citizen conducting research in Cuba on anti-government movements. According to Cuban law what Matthew is doing is illegal. According to USA law, what Matthew is doing is also of questionable legality. Ethically speaking, this research is:

1. unethical because it is illegal.
2. dangerous for the researcher, but not automatically illegal.

2. Informed consent is only given at the beginning of data collection (e.g. an interview), and cannot be withdraw after that.

1. True
2. False

3. Pregnant/non pregnant is an example of a/n _______ variable.

1. binary
2. nominal
3. interval
4. ordinal
5. None of the above

4. Anita is presenting her qualitative research at an academic conference, and includes a quote to illustrate a theme. When Anita was reviewing her data and finding this illustrative quote, she was engaging in:

1. Axial coding
2. Open coding
3. Selective coding
4. Closed coding
5. None of the above

5. We can only truly rule out spurious relationships and alternative explanations with what type of experiment

1. Natural experiment
2. Field experiment
3. Quasi experiment
4. True experiment
5. None of the above

6. Orwell encourages us to use cliches because they are familar to our audience:

1. True
2. False

7. What is the meaning of ‘N’ in a descriptive statistic table?

1. Mean
2. Standard deviation
3. Mode
4. Number of non-missing cases
5. None of the above

8. You measure the average number of coffees your friends drink as a way of estimating the average number of coffees the average Australian drinks. The ‘average number of coffees of your friends’ is the:

1. Population parameter
2. Sample statistic
3. Null hypothesis
4. Research hypothesis
5. None of the other answers

9. The chance your research hypothesis is wrong is (more or less) expressed in which statistic:

1. p-value
2. t-statistic
3. confidence interval
   
4. (mean)/(standard error)
5. range

10. You find the difference in income of two groups of 10 men and 10 women is 100 dollars per week, with a standard error of this estimate of 65 dollars. Is this difference statistically significant at the p < .05 level?

1. Yes
2. No
3. We can’t tell

11. You survey 200 Macquarie students and find that the correlation between living close to campus (0=not close to campus; 1 = close to campus), and hours of sleep per night (in hours) is 0.11 with a significance of p = .23. What can we conclude?

1. That there is a small relationship between living close to campus and getting more sleep.
2. That there is a substantial relationship between living close to campus and getting more sleep.
3. That living close to campus causes greater sleep.
4. That is not enough evidence to say there is a relationship between living close to campus and getting more sleep.

12. The confidence interval of the pearsons correlation between attending class (attend = 1; not attend = 0) and score in final exam (0 to 20) is -0.25 to -0.45. From this we can conclude:

1. there is no relationship between attending class and final exam score
2. there is a significant relationship between attending class and final exam score. The more you attend, the better your final exam score.
3. there is a significant relationship between attending class and final exam score. The more you attend, the worse your final exam score.

13. The coefficient for an independent variable in a linear regression is significant and has the value -1.23. What does this mean?

1. a one unit increase in the dependent variable causes a 1.23 unit increase in the independent variable.
2. a one unit increase in the independent variable causes a 1.23 unit increase in the dependent variable.
3. a one unit increase in the dependent variable causes a 1.23 unit decrease in the independent variable.
4. a one unit increase in the independent variable causes a 1.23 unit decrease in the dependent variable.

14. You measure the Cronbach’s Alpha for a scale, and find that for item number four, the Cronbach Alpha if item deleted is higher than the current Cronbach’s Alpha. Based on this, you should probably:

1. Keep the variable in the scale
2. Delete the variable from the scale
3. Do nothing
4. Re-run the test.

15. You have a regression model of life satisfication, with 10 variable in it. From your results you know that your model can explain 48% of the variation in life satisfaction. Which statistic tells you this? The _____

1. coefficient
2. standard error
3. r square
4. intercept
5. None of the above

16. You have a regression model of life satisfication, with 10 variable in it. From your results you know that every ten years of life increases life satisfaction by 2.1 (out of 100). Which statistic tells you this? The _____

1. coefficient
2. standard error
3. r square
4. intercept
5. None of the above

17. When you have one outcome, measured on an interval scale, and multiple independent variables, you are best to probably use what type of model?

1. Pearsons R
2. Dependent t-test
3. Independent t-test
4. Linear regression
5. None of the above

18. You have a regression model of life satisfication, with 10 variable in it. When all the independent variables have a value of zero, the dependent variable has a value of -15.3 (out of 100). Which statistic tells you this? The _____

1. coefficient
2. standard error
3. r square
4. intercept
5. None of the above

19. Your operationalization of your variable accurately captures your conceptualisation of the same variable. Your measure is:

1. Valuable
   
2. Reliable
3. Real
4. Valid

20. Dr Nick wants to compare how much (measured on a pain scale of 0 to 10) it hurts to shock himself with a 12 Volt and 100 Volt battery. The dependent variable is:

1. Pain
2. Voltage of battery
3. Shock
4. Dr Nick

Answer key

1. b

2. b

3. a

4. c

5. d

6. b

7. d

8. b

9. a

10. b

11. d

12. c

13. d

14. b

15. c

16. a

17. d

18. d

19. d

20. a