Hi ,
For this assignment, introduce the issue under investigation-review (topic of interest) using a single-subject design model for research. You can apply a professional and or career issue-problem to the assignment.
Evaluate the use of a single-subject design and offer an in depth analysis of the benefits for using the single-subject design. Provide justification as to the choice of using the single-subject design as opposed to other design models.
TEACHER ASSIGNMENT EXAMPLE
Statistic Worksheet
The following is from my analysis of the assigned project. A newly designed software package is available to help students with their statistics assignments. Dr. Novak divided her class into two different groups, the Control Group and the Experimental Group.
The Control Group was not allowed to use the new software for their homework assignment. However, the Experimental Group was allowed to use the new software for their homework assignment.
I will perform an analysis of the data of the homework assignment for each group comparing the mean for the two groups. In addition, this data analysis will be accomplished by using the Vassar Stats: Website for Statistical Computation. I will use the T-Test for independent sample means at a .05 level of significance ensuring the t, df, and p is also reported in the table. This data analysis will be the bases for the final report.
Data Analysis
I believe will that the Control Group’s score will be higher than the Experimental Group’s score for their assignment. I believe this to be the case because it’s a tried and proven method for Dr. Novak’s students for completing statistics assignments. Understandably, there will always be room for human error compared to computer error.
The independent and dependent variable is that one group (Experimental Group) will be using the new software to help students with their statistic assignments. While the other group (Control Group) will continue using the same unchanged method. I believe that the pattern of mean result for both groups will be the same if not very similar. I expect to see the mean score might be off by less than five points (+/-).
Conclusion
After completing the experiment, the final report table provided a very interesting look into both groups. To my surprise, my hypothesis was incorrect. According to the data collected, the Experiential Group received a higher mean score than the Control Group.
Final Report Tables
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Data Entry |
|||
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Control Group Quiz Scores |
Experimental Group Quiz Scores |
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|
45 39 36 34 34 33 31 31 30 30 28 28 28 27 27 25 23 22 21 21 20 18 08 |
72 65 47 44 41 40 34 33 33 30 29 28 27 27 25 24 24 23 22 21 21 17 |
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|
Data Summary |
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|
Control Group |
Experimental Group |
Total |
|
|
n |
23 |
22 |
45 |
|
-X |
639 |
727 |
1366 |
|
-X2 |
19083 |
28113 |
47196 |
|
SS |
1329.913 |
4088.9545 |
5730.3111 |
|
Mean |
27.7826 |
33.0455 |
30.3556 |
Results
|
Meana—Meanb |
t |
df |
P |
one-tailed |
0.0618725 |
|
-5.2628 |
1.55 |
43 |
|||
|
two-tailed |
0.123745 |
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For independent samples, these results pertain to the “usual” t-test, which assumes that the two samples have equal variances. |
F-Test for the Significance of the Difference between the Variances of the Two Samples
|
df1 |
df2 |
F |
P |
|
21 |
22 |
3.21 |
0.004440 |
|
[Applicable only to independent samples.] P>.05 indicates no significant difference detected between the variances of the two samples. |
t-Test Assuming Unequal Sample Variances [Applicable only to independent samples.]
|
Meana—Meanb |
t |
df |
P |
one-tailed |
0.0649385 |
|
two-tailed |
0.129877 |
||||
|
-5.2628 |
-1.55 |
32.58 |
Independent Samples
|
Observed |
Confidence Intervals |
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|
0.95 |
0.99 |
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|
Meana |
27.7826 |
± 3.3559 |
± 4.5718 |
|
Meanb |
33.0455 |
± 6.188 |
± 8.4192 |
|
Meana−Meanb [Assuming equal sample variances.] |
-5.2628 |
± 6.7624 |
± 9.0389 |
|
Meana−Meanb [Assuming unequal sample variances.] |
-5.2628 |
± 6.8777 |
± 9.2494 |
References
Lowry, R. (2020). Vassar Stat: Website for Statistical Computation. Retrieved from http://vassarstats.net
Salkind, N.J. (2012). Exploring Research (8th ed.). Upper Saddle River, NJ: Pearson.
