Training Program: Statistical Inference & Research

Introduction

Training programs are believed to impact the way the employees consider themselves able to work or rather have the necessary training to complete their work. This research evaluates if such a relationship exists. This is achieved through a series of steps. It is important to note that this research begins by presuming that no such relationship exists and hence the level of training does not affect how employees feel they can do the job.

Research question

What is the effect of the training program on whether employees believe they have the training necessary to do their job?

Null hypothesis

There is no difference in employee perceptions of whether they have the training necessary to do their job before or after the training program.

Alternative hypothesis

There is a difference in employee perceptions of whether they have the training necessary to do their job before or after the training program.

Statistical procedures used in testing the null hypothesis

The study will evaluate whether changes in training levels will result in a similar change in the perception held by employees as to whether or not they have the necessary training to do their job. In essence, the research will evaluate whether there is a relationship between changes in employee perceptions as to whether they have the necessary training for the job and changes in the level of training over the same period.

Correlation analysis is therefore used to compare the relationship between the two. To achieve this, the difference between the number of hours of training an employee had in 2010 and the number of hours of training the employee had in 2009 are obtained. This gives the change in training level from 2009 to 2010. Additionally, the difference in perception of employees that they have adequate training in 2010 and 2009 are obtained. This forms the change in employee perception as to whether or not they are fit for the job.

More often correlation analysis is used in the evaluation of the relationship that exists between two variables and always lies amidst –1 and +1 (Stevens, 2002; Neuman, 2011). This is appropriate in this case since the relationship being evaluated is between two variables namely changes in employee perceptions as to whether they have the necessary training for the job and changes in the level of training. When the value returned is zero, it will be concluded that there is a difference in employee perceptions of whether they have the training necessary to do their job before or after the training program. On the other hand, the larger the r-value is, the stronger the association will be concluded to exist between the variables (Kiess & Green, 2010).

The null hypothesis will be accepted if the following mathematical condition is met:

  • Formula

This simply means that in case the value of r obtained is not equal to zero, then the correlation will be said to exist between the two variables. However, this is not sufficient to completely accept the null hypothesis. A further value, the p-value will be obtained to establish the significance of the obtained value and hence form a further basis for acceptance or rejection of the null hypothesis. In case the null hypothesis fails to hold, the null hypothesis stated will be instead accepted. The accepted p-value should be less than 0.05. If this condition in addition to the first one is met, the null hypothesis will be accepted.

Test results

Other than providing correlation analysis results, the test goes a step further to provide the means of each of the variables and hence present a generalized picture of the distribution of the data and the overall changes that occurs in each of the variables used in the study.

Correlation analysis is performed with the help of SPSS software and the output is as shown in the tables below:

Descriptive Statistics
Mean Std. Deviation N
Changes in training hours of employees 1.3529 3.17072 34
Change in employee perception as to whether they have the necessary training for the job .0294 .75820 34

The descriptive statistics results in present interesting findings. The change in employee training hours from 2009 to 2010 is 1 while the change in employee perception is rather small,.0294. At face value, no clear relationship can be concluded between the two.

Correlations
Changes in training hours of employees Change in employee perception as to whether they have the necessary training for the job
Changes in training hours of employees Pearson Correlation 1 -.320
Sig. (2-tailed) .065
N 34 34
Change in employee perception as to whether they have the necessary training for the job Pearson Correlation -.320 1
Sig. (2-tailed) .065
N 34 34

The results as displayed in the SPSS output can be represented as follows: r (34) = -0.320, p =.065. Recalling our null hypothesis:

  • Formula

we affirm that there is a negative relationship between employee perceptions of whether they have the training necessary and the level of training.

Conclusion

Even though the conditions for the null hypothesis are not met as significance is obtained with the p-value being greater than.05 (Aron, Coups, & Aron, 2011). In this regard, we accept the null hypothesis and hence dispose of the alternative hypothesis. As a result, we conclude that there is no difference in employee perceptions of whether they have the training necessary to do their job before or after the training program.

The research set out to investigate the effect of changes in the level of training on employee perception as to whether or not they have the necessary training to do the work. Changes in the level are treated as the independent variable while the level of training on employee perception represents the dependent variable.

At the onset, the research question was stated as ‘What is the effect of the training program on whether employees believe they have the training necessary to do their job?’ To successfully respond to this question, correlation analysis was run in an attempt to establish if there exists a linear relationship between the two variables of interest. It was assumed that differences from one year to another reflected the changes. It was assumed that there is a linear relationship between the variables and hence the research set out to evaluate this. According to the findings, r (34) = -0.320, p =.065. The null hypothesis is expected and hence it is concluded that there is no difference in employee perceptions of whether they have the training necessary to do their job before or after the training program. The results fail to confirm the existence of a relationship between the two variables evaluated.

References

Aron, A., Coups, E. J., & Aron, E. N. (2011). Statistics for the behavioral & social sciences: A brief course. (5th ed.). Upper Saddle River, NJ: Prentice Hall.

Kiess, H. O., & Green, B. A. (2010). Statistical concepts for the behavioral sciences. (4th ed.). Boston, MA: Allyn and Bacon.

Neuman, W. L. (2011). Social research methods: Qualitative and quantitative approaches. (7th ed.). Boston, MA: Allyn and Bacon.

Stevens, J. P. (2002). Applied multivariate statistics for the social sciences (4th ed.). Mahwah, NJ: Lawrence Erlbaum Associates.

Cite this paper

Select style

Reference

StudyCorgi. (2022, June 17). Training Program: Statistical Inference & Research. https://studycorgi.com/training-program-statistical-inference-and-amp-research/

Work Cited

"Training Program: Statistical Inference & Research." StudyCorgi, 17 June 2022, studycorgi.com/training-program-statistical-inference-and-amp-research/.

* Hyperlink the URL after pasting it to your document

References

StudyCorgi. (2022) 'Training Program: Statistical Inference & Research'. 17 June.

1. StudyCorgi. "Training Program: Statistical Inference & Research." June 17, 2022. https://studycorgi.com/training-program-statistical-inference-and-amp-research/.


Bibliography


StudyCorgi. "Training Program: Statistical Inference & Research." June 17, 2022. https://studycorgi.com/training-program-statistical-inference-and-amp-research/.

References

StudyCorgi. 2022. "Training Program: Statistical Inference & Research." June 17, 2022. https://studycorgi.com/training-program-statistical-inference-and-amp-research/.

This paper, “Training Program: Statistical Inference & Research”, was written and voluntary submitted to our free essay database by a straight-A student. Please ensure you properly reference the paper if you're using it to write your assignment.

Before publication, the StudyCorgi editorial team proofread and checked the paper to make sure it meets the highest standards in terms of grammar, punctuation, style, fact accuracy, copyright issues, and inclusive language. Last updated: .

If you are the author of this paper and no longer wish to have it published on StudyCorgi, request the removal. Please use the “Donate your paper” form to submit an essay.