MAT FPX 2001 Assessment 6 Interpretation of Survey Results

Interpretation of Survey Results

Interpretation is the act of explaining and reframing the results. The topic of the survey was Why managers should promote learning in the workplace. The current topic is significant in organizational learning and employee growth. In contemporary business organizations, the actions and knowledge of managers hold a central value for promoting employee learning and development.

MAT FPX 2001 Assessment 6 Interpretation of Survey Results

There are some necessary conditions for flourishing learning-oriented leadership in organizations. Many scholars and researchers believe managers must be trained before improving their employees’ productivity. Hence, this topic aims to analyze and explore managers’ learning-oriented leadership in organizations and what conditions managers should fulfill before promoting a learning culture.

Summary Statistics of Survey Questions

In the survey, six questions were asked from a total of 50 participants to analyze the situation of employees in an organization. All questions were quantitative ones as listed in the table below. 

The table provided presents the results of a survey on learning opportunities and managerial support in an organization. The survey includes both binary questions (which have two possible responses: yes or no) and quantitative questions (which allow respondents to provide a rating on a scale).

For the binary question, the typical response is 0.5, which suggests that respondents are evenly split on these issues. In other words, half of the respondents answered “yes” to the question, while the other half answered “no.”

For the quantitative questions, the typical response is also 0.5112, which suggests that respondents are giving neutral or moderate ratings. A rating of 0.5112 is in the middle of the scale (which is not specified in the table) and indicates that respondents neither strongly agree nor strongly disagree with the statements.

It is worth noting that without knowing the number of respondents or the distribution of responses across the scale, it is difficult to draw definitive conclusions about the results. However, the table provides some indication that there may be room for improvement in terms of managerial support for learning and the perceived impact of learning opportunities on productivity in the organization.

The remaining two questions are quantitative and we calculated the central tendency and variability in those questions. The fifth question was: Have you noticed any changes in your job satisfaction since your manager started promoting workplace learning opportunities? The results showed a mean value of 9.56 which means most employees have noticed changes in their job satisfaction. The standard deviation was ±3.53 which shows the dispersion of data above and below the mean value. The sixth question was:  Are your colleagues helping at work or in a Friendly environment in the office? The results showed a mean value of 1.32 which means most of the colleagues are helping each other. The standard of deviation shows a value of  ±3.53 which also supports the results of the mean value. 

Interpretation of Statistical Analysis

The statistical analysis measured the central tendency and variability of data. Various results have been produced from the survey and statistical analysis. The main focus of the survey was to collect information regarding employees’ job satisfaction. The survey results showed the probability of employees with job satisfaction and employees with improvement in their living standards. The results showed the probability of employees that noticed the correlation between the learning opportunities provided by managers and the probability of job satisfaction. The survey results also helped to find the probability of the manager’s support in professional development. The results also calculated the probability of the benefits of workplace learning for job satisfaction.

MAT FPX 2001 Assessment 6 Interpretation of Survey Results

The rationale for choosing all these questions is that they helped in analyzing the condition and situation of employees in an organization. Such ideas and questions greatly helped to analyze their current situation. This will help in creating specific mentorship programs for this population which will help in improving their life 

Logical Conclusions from Inferential Statistics

Inferential statistics help to make a prediction based on the results of the data. The margin of error and confidence interval was calculated for all six questions. There was a total of 50 participants in the survey. 

Findings and Results of Binary Questions

Findings and Results of Quantitative Questions

The table above shows all the results, findings, and conclusions of the survey. The results were identified for a total of 50 participants. For the first four questions, we calculated their sample proportion, the margin of error, and the confidence interval. For the quantitative questions, we calculated the sample mean, standard deviation, the margin of error, and confidence interval. 

Hypothesis testing was also performed for all six questions. We made null and alternative hypotheses and then performed test statistics and finally concluded the summary. We used the symbol Ho for the null hypothesis and Ha for the alternative hypothesis. For question 1, the Ho was p ≥ 0.5112, and the Ha was p < 0.5112. We used the rejection criteria of z < -1.645, and the calculated test statistic was -0.551. We did not reject the Ho because there is not sufficient statistical evidence to show the proportion of currently 0.5112 is satisfied with the job. For the second question, the Ho was p ≤ 0.5112, and the Ha was p > 0.5112. The rejection criteria were z > 1.645, and the calculated test statistics were 0.158. We did not reject the Ho because there is not sufficient statistical evidence to show the proportion of 0.5112 who are satisfied with learning opportunities. For the third question, the Ho was p = 0.5440, and the Ha was p ≠ 0.5440. The rejection criteria were z < -1.96 or z > 1.96, and the calculated test statistics were -0.808. We did not reject the Ho because there is not sufficient statistical evidence to show the proportion of 0.544 is satisfied with personal growth. For the fourth question, the Ho was p ≥ 0.5680, and the Ha was p < 0.5680. The rejection criteria were z < -1.645 and the calculated test statistics was -2.972. We rejected the Ho because there is not sufficient statistical evidence to show the proportion of 0.568 is satisfied with the benefits of the learning process. For the fifth question, the Ho was μ = 9.56, and the Ha was μ ≠ 9.56. The rejection criteria were z < -1.96 or z > 1.96, and the calculated test statistics were –14.903. We rejected the Ho because There is sufficient statistical evidence to show the mean number of employees is less than 9.56. For the last question, the Ho was μ ≤ 1.32, and the Ha was μ > 1.32. The rejection criteria were z > 1.645, and the calculated test statistics were 2.34. We rejected the Ho because There is sufficient statistical evidence to show the mean number of employees is less than 1.32.

Constraints and Limitations of Survey Results

The sample size determines the restrictions and bounds of the conclusions. The bigger sample size will make it easier to generalize to the whole population. If the sample size is insufficient, the results won’t be reliable and grounded in reality because they won’t be able to generalize to the full population. The chosen survey’s sample size of fifty was too small to generalize to the complete organization’s workforce. The study will be constrained by the smaller sample size and will not take the complete population into account.

The statistical justifications for the result will be strengthened by the change in research design caused by the larger sample size. The larger sample size will enable generalization to the entire population and produce more accurate and trustworthy results. Systematic probability sampling was utilized to gather the sample. Changes in sample methodology can improve the outcomes. The population can be generalized through a change in research design and the use of a straightforward random sampling procedure. It will aid in bolstering the statistical justifications for the conclusion.

Significance of Survey Results

The survey analysis aids in the examination of the survey’s chosen topic’s findings. By using appropriate sample techniques, survey research assists in calculating the probability of a large amount of data. By asking participants questions, soliciting their opinion, compiling the responses, and then analyzing the responses, the survey results aid in the achievement of the research objectives. The surveys will aid in obtaining information on crucial study-related questions. Survey responses are important because they help us understand what people think about the chosen topic of interest. 

Surveys have an impact on people’s personal lives by assisting with planning, budgeting, and paperwork as well as helping people coordinate their schedules. Surveys have an impact on one’s professional life by assisting with data collection, policy-making, research reporting, and presentation-making for the chosen issue. A big sample size can improve the usefulness of the study’s findings. The implementation of a longitudinal research design will help to increase the reliability of the results by making it easier to determine the direction and amplitude of many elements over a longer period of time. 

MAT FPX 2001 Assessment 6 Interpretation of Survey Results

Future Study

The study has some shortcomings that will need to be addressed in subsequent research. The deeper examination of a problem in one’s personal and professional life can be aided by certain advice. Data from a sizable population should be used as the first recommendation. This is justified by the fact that it is appropriate for extrapolating from the survey data. The second suggestion is that the survey’s senior authority engage in additional methodological work. The justification behind choosing higher authority is that they can assist in setting up funding for underrepresented employees. The third suggestion is to include the knowledge and viewpoints of additional research specialists in the survey. This is justified by the fact that it will aid in identifying the areas of the chosen topic that require improvement.