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Identify the scale ch) f measurement for each example below (nominal,ordinal, in

ID: 3325738 • Letter: I

Question

Identify the scale ch) f measurement for each example below (nominal,ordinal, interval or ratio) (2 points measuremen A. A persan's evaluation of how much they like this class on a scale of 1-5 _C. A persan's IQ D. Racial Ethnic Identity of HC: students 21. Please indicate the best response for ench question T (true) or F (false). (2 points each) a. When the t-statistic obtained is greater than the critical value t-statistic, you retain the wall. b. The repeated-measures ANOV A removes betwoun persons v c. If the alpha level 05 and the calculated p value is less than.05,you retain the nuall . Two-tailed l.lests are used to tesl directional hypotheses. f. The alpha level is equivalent to the Type I crror rate. g. Gender is an example of a quasi-independent variable. h. You can measure the significance of a correlation between two data poinis or when the df variance from the Sum of Squares errot -2 me the main advantage of repeated measures design aver independent measures design. (3 points)

Explanation / Answer

Solution: 20.

A. A person's evaluation of how much they like this class on a scale of 1-5 is Ordinal.

B. Peaction time on a maze is Interval.

C. A person's IQ is Interval

D. Racial/ Ethnic identity of HC students is Nominal

21.

a. When the t-statistic obtained is greater than the critical value t- statistic, you retain the null. False

b. The repeated measures ANOVA removes between persons variance from the sum of squares error. True

c. If the alpha level =0.05 and the calculated p-value is less than .05, you retain the null. False

d. Two tailed t-tests are used to test directional hypothesis. False

e. The alpha level is equivalent to the Type I error rate. True

f. Gender is an example of a quasi-independent variable. True

g. You can measure the significance of a correlation between two data points or when the df - 2. True

Name the main advantage of repeated measures design over independent measures design.

The main advantage of repeated measures design over independent measures design is repeated measures designs are very powerful because they control for factors that cause variability between subjects.

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