Question

In: Statistics and Probability

A psychologist wanted to know if students in her class were more likely to cheat if...

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 score on the previous three course-testings. She then asked them to rate how likely they were to cheat on an 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.

  1. Before opening the data, what would you hypothesize about this research question?
  2. 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

Solutions

Expert Solution

Answer:

Given that,

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 score on the previous three course-testings.

She then asked them to rate how likely they were to cheat on course-testings if the opportunity presented itself with a 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.

Using SPSS software.

Tests of Between- Subjects Effects.

Dependent Variable: Cheat

Source Type III Sum of Squares df Mean Square F Sig.

Corrected model

Intercept

Achievement Group

Gender

Achievement_Group* Gender

Error

Total

Corrected Total

19597.452^a

165214.115

18516.584

401.532

355.916

7407.798

193959.000

27005.250

5

1

2

1

2

54

60

59

3919.490165214.115

9258.292

401.532

177.958

137.181

28.572

1204.347

67.489

2.927

1.297

0.000

0.000

0.000

0.093

0.282

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 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.


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