In: Statistics and Probability
A psychologist wanted to know if students in her class were more likely to cheat if they were low achievers. She divided her 60 students into three groups (low, middle, and high) based on their mean course-testings score on the previous three tests. She then asked them to rate how likely they were to cheat on a course-testings if the opportunity presented itself with very limited chance for consequences. The students rated their desire to cheat on a scale ranging from 1-100, with lower numbers indicating less desire to cheat.
5. What would you conclude from this analysis? What would be your next steps, if this were your research project?
Achievement_Group | Gender | Cheat |
1 | 0 | 20 |
1 | 0 | 40 |
1 | 0 | 49 |
1 | 0 | 50 |
1 | 0 | 51 |
1 | 0 | 51 |
1 | 0 | 52 |
1 | 0 | 53 |
1 | 0 | 58 |
1 | 1 | 42 |
1 | 1 | 48 |
1 | 1 | 48 |
1 | 1 | 52 |
1 | 1 | 55 |
1 | 1 | 55 |
1 | 1 | 56 |
1 | 1 | 59 |
1 | 1 | 67 |
1 | 1 | 80 |
1 | 1 | 79 |
2 | 0 | 19 |
2 | 0 | 25 |
2 | 0 | 20 |
2 | 0 | 29 |
2 | 0 | 24 |
2 | 0 | 32 |
2 | 0 | 25 |
2 | 0 | 27 |
2 | 0 | 30 |
2 | 0 | 55 |
2 | 1 | 40 |
2 | 1 | 25 |
2 | 1 | 27 |
2 | 1 | 35 |
2 | 1 | 42 |
2 | 1 | 30 |
2 | 1 | 30 |
2 | 1 | 34 |
2 | 1 | 40 |
2 | 0 | 27 |
3 | 0 | 60 |
3 | 0 | 65 |
3 | 0 | 69 |
3 | 0 | 78 |
3 | 0 | 79 |
3 | 0 | 80 |
3 | 0 | 80 |
3 | 0 | 90 |
3 | 0 | 95 |
3 | 0 | 50 |
3 | 1 | 55 |
3 | 1 | 55 |
3 | 1 | 60 |
3 | 1 | 69 |
3 | 1 | 70 |
3 | 1 | 70 |
3 | 1 | 88 |
3 | 1 | 90 |
3 | 1 | 90 |
3 | 1 | 91 |
USING SPSS software.
Tests of Between-Subjects Effects | |||||
Dependent Variable: Cheat | |||||
Source | Type III Sum of Squares | df | Mean Square | F | Sig. |
Corrected Model | 19597.452a | 5 | 3919.490 | 28.572 | .000 |
Intercept | 165214.115 | 1 | 165214.115 | 1204.347 | .000 |
Achievement_Group | 18516.584 | 2 | 9258.292 | 67.489 | .000 |
Gender | 401.532 | 1 | 401.532 | 2.927 | .093 |
Achievement_Group * Gender | 355.916 | 2 | 177.958 | 1.297 | .282 |
Error | 7407.798 | 54 | 137.181 | ||
Total | 193959.000 | 60 | |||
Corrected Total | 27005.250 | 59 |
Achievement_Group: The P-value for the factor Achievement_Group is 0.000 and less than 0.05 level of significance. Hence, we can conclude that Achievement_Group has a significant effect on cheat.
Gender: The P-value for the factor Gender is 0.093 and greater than 0.05 level of significance. Hence, we can conclude that Gender does not have a significant effect on cheat.
Interaction of Achievement_Group * Gender: The P-value for the interaction of Achievement_Group and Gender is 0.282 and greater than 0.05 level of significance. Hence, we can conclude that there is no significant interaction effect on cheat.