The following output tests three questions. 1) What is the effect of gender (male = 0; female = 1) on negative sleeping habits (i.e., falling asleep at inappropriate times)? 2) What is the effect of year in school (1 = freshman; 2 = sophomore; 3 = junior; 4 = senior) on negative sleeping habits? 3) Does the effect of year in school on negative sleeping habits depend on whether the participant was a man or a woman? Higher scores reflect more negative sleeping habits, and responses were recorded on a 0 to 3 scale. Provide the statistics for the main effect of participant gender. Do not worry about italicizing since Qualtrics does not allow for proper formatting. Provide the statistics for the main effect of year in school. Do not worry about italicizing since Qualtrics does not allow for proper formatting. Provide the statistics for the interaction between participant gender and year in school. Do not worry about italicizing since Qualtrics does not allow for proper formatting. In words, how would you write up the results presented above. Make sure to note both the main effects and interaction; even if they are not significant? Test of between-subjects effects Dependent Variable: SleepingHabits Source Type Ill Sum of Squares Df Mean Square F Sig. Partial Eta Squared Corrected Model 4.021 7 .574 2.551 .013 .022 Intercept 549.904 1 549.904 2442.137 .000 .756 Gender .173 1 .173 .768 .381 .001 Year .630 3 .210 .932 .425 .004 Gender*Year 3.488 3 1.163 5.164 .002 .019 Error 177.436 788 .225 Total 1178.516 796 Corrected Total 181.458 795 Test of between-subjects effects Dependent Variable: SleepingHabits Source Type Ill Sum of Squares Df Mean Square F Sig. Partial Eta Squared Corrected Model 4.021 7 .574 2.551 .013 .022 Intercept 549.904 1 549.904 2442.137 .000 .756 Gender .173 1 .173 .768 .381 .001 Year .630 3 .210 .932 .425 .004 Gender*Year 3.488 3 1.163 5.164 .002 .019 Error 177.436 788 .225 Total 1178.516 796 Corrected Total 181.458 795.

1. The following output tests three questions. 1) What is the effect of gender (male = 0; female = 1)
on negative sleeping habits (i.e., falling asleep at inappropriate times)?
2) What is the effect of year in school (1 = freshman; 2 = sophomore; 3 = junior; 4 = senior) on
negative sleeping habits?
3) Does the effect of year in school on negative sleeping habits depend on whether the
participant was a man or a woman?
Higher scores reflect more negative sleeping habits, and responses were recorded on a 0 to 3
scale.
Provide the statistics for the main effect of participant gender. Do not worry about italicizing
since Qualtrics does not allow for proper formatting.
Provide the statistics for the main effect of year in school. Do not worry about italicizing since
Qualtrics does not allow for proper formatting.
Provide the statistics for the interaction between participant gender and year in school. Do not
worry about italicizing since Qualtrics does not allow for proper formatting.
In words, how would you write up the results presented above. Make sure to note both the main
effects and interaction; even if they are not significant?
Test of between-subjects effects
Dependent Variable: SleepingHabits
Source
Type Ill Sum
of Squares
Df
Mean Square
F
Sig.
Partial Eta
Squared
Corrected Model
4.021
7

2. .574
2.551
.013
.022
Intercept
549.904
1
549.904
2442.137
.000
.756
Gender
.173
1
.173
.768
.381
.001
Year
.630
3
.210
.932
.425
.004
Gender*Year
3.488
3
1.163
5.164
.002
.019
Error
177.436
788
.225

3. Total
1178.516
796
Corrected Total
181.458
795
Test of between-subjects effects
Dependent Variable: SleepingHabits
Source
Type Ill Sum
of Squares
Df
Mean Square
F
Sig.
Partial Eta
Squared
Corrected Model
4.021
7
.574
2.551
.013
.022

4. Intercept
549.904
1
549.904
2442.137
.000
.756
Gender
.173
1
.173
.768
.381
.001
Year
.630
3
.210
.932
.425
.004
Gender*Year
3.488
3
1.163
5.164
.002
.019
Error
177.436
788
.225
Total

5. 1178.516
796
Corrected Total
181.458
795