1. A researcher is interested in the relationship between test anxiety and study time on test performance. Test anxiety, defined as a type of anxiety that is triggered by the anticipation or experience of taking tests, was measured on a 0-100 scale via a Test Anxiety Questionnaire (higher scores indicating greater/more anxiety). Study time, defined as the amount of time a student devoted to studying/reviewing material for the test, was measured in hours (spent studying/reviewing material). Test performance was the test score students received on the test, out of 100 marks. Assume an alpha level of .05. If there are issues with the data file images and they can't be copied, PLEASE just explain how the questions would be answered, no need to physically use jamovi. a) Assuming a linear relationship between all three variables of interest, request a correlation matrix from jamovi and comment on the strength, direction, and significance of all three zero-order correlation coefficients provided to you in jamovi. Please note, a screenshot of the jamovi correlation matrix must be included b) Imagine that the researcher is primarily interested in the relationship between test anxiety and test performance. Re-state the correlation between test anxiety and test performance (obtained from jamovi), calculate the r2 value, and explain what this tells us about these two variables. c) Conduct a partial correlation in jamovi to examine the relationship between test anxiety and test performance, controlling for study time. Include a screenshot of your jamovi partial correlation table as your answer to this question d) Using the correlation coefficients from the correlation matrix you requested from jamovi in question 1a), calculate the partial correlation coefficient by hand using the appropriate formula. Verify you calculation matches that obtained in question 1c). Hint: retain 3 decimal points in all components of formula for precision. Note: you do not have to calculate the zero-order correlation coefficients by hand, rather you can use the zero-order correlation coefficients given to you by jamovi in the correlation matrix to compute the partial correlation coefficient. e) Based on the results of your partial correlation analysis, does controlling for study time influence the relationship between test anxiety and test performance? Explain how you interpreted the partial correlation coefficient and arrived at your conclusion.

1. A researcher is interested in the relationship between test anxiety and study time on test performance. Test anxiety, defined as a type of anxiety that is triggered by the anticipation or experience of taking tests, was measured on a 0-100 scale via a Test Anxiety Questionnaire (higher scores indicating greater/more anxiety). Study time, defined as the amount of time a student devoted to studying/reviewing material for the test, was measured in hours (spent studying/reviewing material). Test performance was the test score students received on the test, out of 100 marks. Assume an alpha level of .05. If there are issues with the data file images and they can't be copied, PLEASE just explain how the questions would be answered, no need to physically use jamovi. a) Assuming a linear relationship between all three variables of interest, request a correlation matrix from jamovi and comment on the strength, direction, and significance of all three zero-order correlation coefficients provided to you in jamovi. Please note, a screenshot of the jamovi correlation matrix must be included b) Imagine that the researcher is primarily interested in the relationship between test anxiety and test performance. Re-state the correlation between test anxiety and test performance (obtained from jamovi), calculate the r2 value, and explain what this tells us about these two variables. c) Conduct a partial correlation in jamovi to examine the relationship between test anxiety and test performance, controlling for study time. Include a screenshot of your jamovi partial correlation table as your answer to this question d) Using the correlation coefficients from the correlation matrix you requested from jamovi in question 1a), calculate the partial correlation coefficient by hand using the appropriate formula. Verify you calculation matches that obtained in question 1c). Hint: retain 3 decimal points in all components of formula for precision. Note: you do not have to calculate the zero-order correlation coefficients by hand, rather you can use the zero-order correlation coefficients given to you by jamovi in the correlation matrix to compute the partial correlation coefficient. e) Based on the results of your partial correlation analysis, does controlling for study time influence the relationship between test anxiety and test performance? Explain how you interpreted the partial correlation coefficient and arrived at your conclusion.

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

See similar textbooks

Related questions

Question

If there are issues with the data file images and they can't be copied, PLEASE just explain how the questions would be answered, no need to physically use jamovi.

a) Assuming a linear relationship between all three variables of interest, request a correlation matrix from jamovi and comment on the strength, direction, and significance of all three zero-order correlation coefficients provided to you in jamovi. Please note, a screenshot of the jamovi correlation matrix must be included

b) Imagine that the researcher is primarily interested in the relationship between test anxiety and test performance. Re-state the correlation between test anxiety and test performance (obtained from jamovi), calculate the r2 value, and explain what this tells us about these two variables.

c) Conduct a partial correlation in jamovi to examine the relationship between test anxiety and test performance, controlling for study time. Include a screenshot of your jamovi partial correlation table as your answer to this question

d) Using the correlation coefficients from the correlation matrix you requested from jamovi in question 1a), calculate the partial correlation coefficient by hand using the appropriate formula. Verify you calculation matches that obtained in question 1c). Hint: retain 3 decimal points in all components of formula for precision.

Note: you do not have to calculate the zero-order correlation coefficients by hand, rather you can use the zero-order correlation coefficients given to you by jamovi in the correlation matrix to compute the partial correlation coefficient.

e) Based on the results of your partial correlation analysis, does controlling for study time influence the relationship between test anxiety and test performance? Explain how you interpreted the partial correlation coefficient and arrived at your conclusion.

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84
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86
87
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89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
4
28
22
29
2
16
59
10
13
8
5
2
38
4
5 *
10
6
68
8
1
14
42
m
13
1
3
5
12
19
2
19
11
15
23
13
14
1
9
20
70
52
50
60
80
60
65
15
85
20
80
100
100
80
10
70
100
70
70
65
75
85
30
5
10
90
70
20
85
35
30
70
55
75
2
40
50
91.94
86.298
72.596
63.73
63.73
71.79
57.282
84.686
84.686
77.432
82.268
10
50.834
87.91
83.88
84.686
20.206
87.104
83.88
67.76
95.97
62.118
84.686
92.746
84.686
83.074
73.402
87.91
71.79
86.298
84.686
75.82
70.984
78.238
82.268
79.044
91.134

Participant # Study Time Test Score Anxiety
40
86.298
88.716
70.178
1
2
3
4
5
6
7
8
9
10
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12
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15
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51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
4
11
27
53
4
22
16
21
25
18
18
16
13
18
98
1
14
29
4
23
14
12
22
84
23
26
24
72
37
10
3
36
43
19
12
9
72
10
12
30
15
8
34
22
21
27
6
18
8
19
0
52
38
19
23
11
27
17
|32
13
42
4
8
6
11
7
15
65
80
80
40
70
20
55
50
40
45
85
70
50
95
70
95
95
50
60
80
75
85
90
30
60
75
75
27
20
75
90
60
30
80
10
85
7
5
85
20
45
60
70
50
25
50
40
80
50
35
80
50
49
75
25
65
80
50
70
40
80
10
20
40
40
61.312
89.522
60.506
81.462
75.82
69.372
82.268
79.044
80.656
70.178
75.014
34.714
95.164
75.82
79.044
91.134
64.536
80.656
77.432
65.342
0.056
71.79
81.462
63.73
27.46
73.402
89.522
89.522
75.014
43.58
82.268
79.044
79.044
37.132
81.462
83.074
50.834
82.268
78.238
72.596
74.208
75.82
70.984
97.582
67.76
75.014
73.402
93.552
58.894
53.252
84.686
89.522
71.79
82.268
69.372
62.118
68.566
93.552
84.686
82.268
81.462
82.268
91.134

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