Deck 37: Going Beyond Your Sample

Question 1

Which of these statements about statistical power is not true?

A) Power is the ability of a test to detect an effect.
B) We can use power to determine how big a sample is required to detect an effect of a certain size.
C) Power is linked to the probability of making a type I error.
D) All of the above.

Answer 1

All of the above.

Question 2

R2 is known as the

A) the multiple correlation coefficient.
B) the partial correlation coefficient.
C) the semi-partial correlation coefficient.
D) the coefficient of determination.

Answer 2

the coefficient of determination.

Question 3

What is b0 in regression analysis?

A) The relationship between a predictor and the outcome variable.
B) The value of the outcome when all of the predictors are 0.
C) The value of the predictor variable when the outcome is zero.
D) The gradient of the regression line.

Answer 3

The value of the outcome when all of the predictors are 0.

Question 4

A researcher measured the same group of people's physiological reactions while watching horror films and compared them to when watching erotic films. The resulting data were normally distributed. What test should be used to analyze the data?

A) Independent t-test
B) Dependent (Related) t-test
C) Mann-Whitney test
D) Wilcoxon Signed Rank test

Question 5

A researcher measured the same group of people's physiological reactions while watching horror films and compared them to when watching erotic films. The resulting data were skewed. What test should be used to analyze the data?

A) Independent t-test.
B) Dependent (Related) t-test.
C) Mann-Whitney test.
D) Wilcoxon Signed Rank test.

Question 6

A researcher measured the same group of people's physiological reactions while watching horror films and compared them to when watching erotic films, and a documentary about wildlife. The resulting data were normally distributed. What test should be used to analyze the data?

A) Independent analysis of variance
B) Repeated measures analysis of variance
C) Kruskal-Wallis test
D) Friedman's ANOVA

Question 7

A researcher measured the same group of people's physiological reactions while watching horror films and compared them to when watching erotic films, and a documentary about wildlife. The resulting data were skewed. What test should be used to analyze the data?

A) Independent analysis of variance
B) Repeated measures analysis of variance
C) Kruskal-Wallis test
D) Friedman's ANOVA.

Question 8

A researcher measured people's physiological reactions while watching horror films and compared them to when watching erotic films, and a documentary about wildlife. Different people viewed each type of film. The resulting data were normally distributed and the variances across groups were similar. What test should be used to analyze the data?

A) Independent analysis of variance.
B) Repeated measures analysis of variance
C) Kruskal-Wallis test.
D) Friedman's ANOVA.

Question 9

A total of 933 people were asked what their favourite type of TV programme was: news, documentary, soap or sports. They could only choose one answer. The researcher knew the number of people who preferred each category of program. How should he analyze these data?

A) Chi-square test
B) T-test
C) One-way analysis of variance
D) Regression

Question 10

Field & Lawson (2003) reported the effects of giving 7-9-year-old children positive, negative or no information about novel animals (Australian marsupials). This variable was called 'type of information'. Each child received all three types of information about different animals. Gender of the child was also examined. The outcome was the time taken for the children to put their hand in a box in which they believed either the positive, negative, or no information animal was housed [see Field, A. P., & Lawson, J. (2003). 'Fear information and the development of fears during childhood: effects on implicit fear responses and behavioural avoidance.' Behaviour Research and Therapy, 41, 1277-1293.]. How did they analyze their data?

A) One-way independent ANOVA
B) One-Way repeated measures ANOVA
C) Two-way mixed ANOVA
D) Two-way independent ANOVA