Alpha Incorporated is a large U.S. national company that specializes in providing IT

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Alpha Incorporated is a large U.S. national company that specializes in providing IT


Alpha Incorporated is a large U.S. national company that specializes in providing IT
Consulting for other companies. They were interested in knowing the effects various
intervention programs had on the self-concept of mid-level managers. Data were
collected for a study of the effects of various intervention programs on the self-concept of managers. Mid-level managers from various companies in the U.S. agreed to participate in study in which they were randomly sampled and randomly assigned to one of 3 treatment programs: (i) a naturalistic wilderness group survival program, (ii) a physical development program, and (iii) an in-class lecture/discussion type program. A general
measure of self-concept, from a scale of 0 to 60, was obtained from each participant. The data from the study are provided in the table Alpha Incorporated Dataset Spring 2021.
As a new research associate for Alpha Incorporated, you have been asked to
analyze the data using the appropriate method and prepare a report of the results (in APA style) concerning the effectiveness of intervention programs on self-concept.

1. Introduction and problem background
2. Data description and the business questions to be answered
3. Analyses and Results
4. Interpretation of results and final conclusions and recommendations for

Explanation & AnswerSolution by a verified expert

Alpha Incorporated Mid-Level Managers Self-Concept Report
Studies indicate that positive psychology has a positive influence on workplaces today. By definition, self-concept can get considered as an individual's definition of themselves. The environment can determine self-concept, especially for managers, as discussed in this report. Whether a manager develops a positive or negative self-concept depends on how they get treated. If they develop a positive self-concept, they are likely to have high productivity. A negative self-concept usually leads to a decrease in willingness to work, leading to hopelessness, frustration, and anxiety.
Problem background
As an IT consultant for several companies in the United States, Alpha Incorporated has collected vast data from mid-level managers throughout the country to assess the impact of various intervention programs on their self-concept scores. The managers were assigned randomly to one of the three treatment programs: A naturalistic wilderness group survival program, a physical development program, and an in-class lecture/discussion type program. The measure of self-concept was then recorded on a scale of 0 to 60 by each participant. This report analyzes the data provided (see Appendix A) using statistical methods and makes conclusions and recommendations on the effectiveness of each treatment program or intervention.
Data description
A hundred and seventy-four min-level managers from different companies in the country got selected to participate in the study. The managers got randomly assigned to one of three intervention programs; a naturalistic-wilderness group survival program, a physical development program, and an in-class lecture/discussion type program. Therefore, each intervention program had a total of 58 participants. Their self-concept scores got recorded.
Business Questions
The data could provide significant implications regarding self-concept among mid-level managers. One business question is whether there is a difference between the three intervention programs mentioned. Another question would be on whether there is a preferable program among the three. Finally, it would be reasonable to assess the rationale behind the differences between the scores.
Analyses and Results
Descriptive statistics can help make general conclusions and derive possible implications using mean, median, and deviation. All scores per intervention program were summed up and divided by the total number of participants. The following were the results of data analysis using descriptive methods.
Type Naturalistic program Physical program In-class program
Mean 48.86 35 43.29
Median 49 35.5 44
Range 17 6 9
Mode 45, appeared 18 times 33, appeared 15 times 44, 45, each appeared 8 times
Largest 57 38 47
Smallest 40 32 38

The naturalistic program has the highest mean of the three programs, followed by the in-class program and then the physical program. The naturalistic program has the highest median, followed by the in-class program and finally the physical intervention. For the naturalistic intervention program, the data is positively skewed. Both the physical and in-class programs have negatively skewed data.
Hypothesis: The null hypothesis (H0); there is no difference between the three groups and equality of the means. The alternate hypothesis; there is a difference between the means and groups.
F-statistic value = 206.86212
P-value = 0
Data Summary
Groups N Mean Std. Dev.
Std. Error

Group 1 58 48.8621 5.4304 0.713
Group 2 58 35 2.0175 0.2649
Group 3 58 43.2931 2.7145 0.3564
ANOVA Summary
Source Degrees of Freedom
DF Sum of Squares
SS Mean Square
MS F-Stat P-Value
Between Groups 2 5644.3103 2822.1552 206.8621 0
Within Groups 171 2332.8995 13.6427
Total: 173 7977.2098
Interpretation of Results
If P-value ≤ α, the differences between some of the means are statistically significant, hence the null hypothesis gets rejected. The lower p-value provides evidence against the null hypothesis. Initially, the null hypothesis was that the difference between the means of the three groups was insignificant. However, in the case above, the p-value is less than the alpha value (.05). As a result, the difference is statistically significant. Based on the mean, the Naturalistic program has the highest mean, followed by the in-class program, which is higher than the physical program. The media is as well significant because it tells us the skewness of the data. In this case, the median of the naturalistic program is highest compared to the other two groups.
Conclusions and Recommendations for Decision-Making
The naturalistic program is the most effective intervention because it produces the highest scores and has a positive skew when the median gets considered. On the other hand, the physical program is the most ineffective intervention. Because of the differences, companies must use naturalistic intervention, and the second-best option should be the in-class program. Companies should avoid using the physical program as much as possible because of the significantly low scores comparative to the other interventions.

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