Chapter 4 Analysis of
Impact of training on employee performance
There are
two kinds of particular analyses that have been conducted in order to measure
the effects of media coverage on the blasphemy laws. These analyses are
descriptive and inferential analysis. The descriptive analysis is particularly
utilized in order to explain the frequencies of the variables as well as the
reliability of the variables. Meanwhile, inferential analyses are utilized to
explain the relationships and effects of variables on each other. The responses
of the respondents are better evaluated through the frequency distribution. The
following is given the frequency distribution along with the respective
pie-charts for the demographic variables.
Descriptive Analysis of
Impact of training on employee performance
Gender
|
|
Frequency
|
Percent
|
Valid
Percent
|
Cumulative
Percent
|
Valid
|
Female
|
13
|
28.3
|
28.9
|
28.9
|
Male
|
32
|
69.6
|
71.1
|
100.0
|
Total
|
45
|
97.8
|
100.0
|
|
Missing
|
System
|
1
|
2.2
|
|
|
Total
|
46
|
100.0
|
|
|
Interpretation
The details related to the frequency
distribution and the relevant percentages for the respondents of the gender are
given in the above table. 71%
of the respondents are a part of the gender male with the frequency 28% of the respondents are a part of the gender
female with frequency 13. This frequency
distribution shows that most of the respondents are male.
Age
|
|
Frequency
|
Percent
|
Valid
Percent
|
Cumulative
Percent
|
Valid
|
22-31
|
40
|
87.0
|
88.9
|
88.9
|
32-41
|
3
|
6.5
|
6.7
|
95.6
|
42-51
|
1
|
2.2
|
2.2
|
97.8
|
52 and above
|
1
|
2.2
|
2.2
|
100.0
|
Total
|
45
|
97.8
|
100.0
|
|
Missing
|
System
|
1
|
2.2
|
|
|
Total
|
46
|
100.0
|
|
|
Interpretation
The
information related to the frequency distribution and the relevant percentages
for the respondents of the age is given in the above table. 88% of the respondents are a part of the age
range of fewer than 22-31 years and the
frequency for the said age range is 6.7% of
the respondents belong to the age range of 31-41
years and the relevant frequency is mentioned
above. The respondents who belong to the age range of 42-52 years and 52 years
plus have a frequency of 1 and
respondents along with the relevant percentages of 2.2 respectively. Most of
the respondents are part of the age range of fewer
than 22-31 years with 88%.
Marital
status
|
|
Frequency
|
Percent
|
Valid
Percent
|
Cumulative
Percent
|
Valid
|
Single
|
31
|
67.4
|
68.9
|
68.9
|
Married
|
14
|
30.4
|
31.1
|
100.0
|
Total
|
45
|
97.8
|
100.0
|
|
Missing
|
System
|
1
|
2.2
|
|
|
Total
|
46
|
100.0
|
|
|
Qualification
of staff
|
|
Frequency
|
Percent
|
Valid
Percent
|
Cumulative
Percent
|
Valid
|
Postgraduate degree
|
6
|
13.0
|
13.3
|
13.3
|
Bachelor degree
|
26
|
56.5
|
57.8
|
71.1
|
Diploma
|
13
|
28.3
|
28.9
|
100.0
|
Total
|
45
|
97.8
|
100.0
|
|
Missing
|
System
|
1
|
2.2
|
|
|
Total
|
46
|
100.0
|
|
|
Interpretation
The
information related to the frequency distribution for the educational level and
the relevant percentages for the said respondents is given in the above table. 57% of the total respondents are a part of
the bachelor’s degree and the frequency for the said educational level is 26. 13.3% of the
respondents belong to the post graduate degree and the relevant frequency is 6 respondents. The respondents, who belong to the
diploma holder, are the 13 of respondents along with the relevant percentages
of 28% respectively. Most of the respondents
are part of the educational level Bachelor
with the frequency.
Have
you had any form of On-the-job (OTJ) trainings since you joined the
organization?
|
|
Frequency
|
Percent
|
Valid
Percent
|
Cumulative
Percent
|
Valid
|
Yes
|
27
|
58.7
|
60.0
|
60.0
|
NO
|
18
|
39.1
|
40.0
|
100.0
|
Total
|
45
|
97.8
|
100.0
|
|
Missing
|
System
|
1
|
2.2
|
|
|
Total
|
46
|
100.0
|
|
|
Interpretation
The above given table illustrating
that there are only 60 % respondents who had on job training meanwhile reaming
40% had no idea about on job training.
Inferential
Analysis
Reliability
analysis
Data Reliability Analysis
of Impact of training on employee performance
The data
reliability is accessed by using the Cronbach Alpha Value for the current study
variables. The idea of Cronbach Alpha was introduced in 1951 by Cronbach. The
range for the Cronbach Alpha lies between 0 and 1. It shows that all the items
of the questionnaire are better evaluated on the similar concept & idea.
The data set for which the value of Cronbach Alpha is more than 0.70; it means
that the data is highly reliable (Nunnallly, 1978). For the present research work, the
overall value of the Cronbach Alpha is shown in the below-given table.
Constructs
|
N
|
No of items
|
ChronBach’s
Alpha
|
Job training
|
46
|
9
|
0.774
|
Employee
Performance
|
46
|
11
|
0.915
|
Interpretation
The above-given table is showing that the
overall Value of Cronbach Alpha is greater than 0.70 such as 0.774 for Job
training that is the independent variable in this study. The Cronbach Alpha
value for Employee Performance is 0.915. It means that the data items are highly reliable.
Regression
Analysis
Model
Summary
|
Model
|
R
|
R
Square
|
Adjusted
R Square
|
Std.
Error of the Estimate
|
1
|
.133a
|
.018
|
.027
|
.71197
|
a. Predictors: (Constant), Training
|
Coefficientsa
|
Model
|
Unstandardized
Coefficients
|
Standardized
Coefficients
|
t
|
Sig.
|
B
|
Std.
Error
|
Beta
|
1
|
(Constant)
|
2.224
|
.715
|
|
3.112
|
.005
|
Training
|
.124
|
.198
|
.133
|
.629
|
.536
|
a. Dependent Variable: Employee perform
|
Interpretation
In
the regression model, the value of R-Square provides the measure for the
goodness-of-fit. This value tends to depict the %age variance change in the
dependent variable due to the independent variables. Based on the regression
analysis for the current data set, it is evaluated that the value of R is 133. As far as the value of R-square for the current study
variables is concerned, it is 0.018. This value is determining a significant
percentage change on the dependent variable (employee performance) due to the
study independent variables (training). The value of
adjusted R-square provides for a comparison between the study models. This value is 0.27 which shows that out of total
variation narrated by the regression line, the variation %age is significant.
In case we talk about the value of p for the regression model, this value is
less than 0.05 for all the study independent variables shows the significant
relationship of the variables. As indicated in the study of the (Athar, 2015)In this particular
study the conducted results are showing
that there is positive relationship among training and employee performance but
not significant because the value of the P is greater 0.05 (Appiah, 2010).
Correlation
Analysis of
Impact of training on employee performance
The
association of the study variables can better be determined by the Pearson
product-moment correlation coefficient. It was developed by Karl Pearson in
1985. The test results for this coefficient lie between +1 and -1. For a
positive correlation, the test result is +1. For no relationship, the test
result is 0. The negative relation between the variables is depicted by -1. The
correlation analysis and its results are shown in the below-given table.
Correlations
|
|
Training
|
Employeeperform
|
Training
|
Pearson Correlation
|
1
|
.133
|
Sig. (2-tailed)
|
|
.536
|
N
|
24
|
24
|
Employeeperform
|
Pearson Correlation
|
.133
|
1
|
Sig. (2-tailed)
|
.536
|
|
N
|
24
|
27
|
Interpretation
The relationship of the
study dependent and the independent variables are determined by using the Pearson correlation coefficient. For
p<0.01, the value of the Pearson coefficient is showing that there exists a
strong positive correlation between the study dependent and the independent
variables (i.e. Training and Employee performance has strong association
with each other. Yet it means in order to enhance the performance of the
employees there must be adequate training to the employees (Iqbal, 2014).
Conclusion and recommendations of Impact of training on employee performance
By summing up entire discussion it has been concluded that the training
is the one of the most important and key elements for any employee in any organization
because it offers the chances o get awareness about the operations functions and
working of that particular organization. It is the good source to offers the
ways to employees for work according to the existing methods and SOPs of the
organization. The employee's performance can be defined as the
ability he possesses in order to achieve the goals required of him according to
known standards and measurements such as accuracy, speed, cost, and others One
of the most important factors in enhancing employee performance is on-the-job
training. On-the-job training is done through the guidance of employees with
higher positions. As well as the employees are transferred between different
tasks at different times. Employees are trained to increase their skills and
job capabilities, so that they can improve the quality of work. The findings of
the study mostly similar to the study of (Elnaga, 2013)
Training for employees
adds communication to advance the organization. The trained employee may
receive training within or outside his organization. Training improves the
non-financial factors that were previously mentioned. If the employers want
to ensure that the employee remains in the company after the contract expires,
they can follow the training strategy to reinforce the commitment. The correct training
has to do with employee performance in the organization. One of the inspiring ways to increase employee
motivation for job performance is to create a relationship between old and new
employee skills and work to improve and develop them with training. It has been
concluded in this study by conducting the several analyses there is strong
association among the job training and employee performance. It is the good
ways to enhance the performance of the organization even the productivity of
the organization can be enhanced as well.
Recommendations
of Impact of training on employee performance
It
has been recommended that there must be particular training program to
encourage the employees for good performance. The Oman
Petroleum Development must be introduced the various new and innovative
strategies by which they can offer the good training to the employees and
enhance their performance. There must be indoor and outdoor training for
getting the knowledge about the new and innovative products and technology by
which the efficiency and effectiveness of the work can be enhance in good ways.
The OPD must be introduced the various training programs such as conference and
campaign in order to know about the new technology. They must be hire
intellectual HR staff with latest and innovative capability and establish their
trainee officers for the performance of the organization.
References of
Impact of training on employee performance
Appiah, B., 2010. The impact of training on
employee performance:, s.l.: a case study of HFC Bank (Ghana) Limited
(Doctoral dissertation)..
Athar,
R. &. S. F. M., 2015. Impact of training on employee performance (banking
sector Karachi).. IOSR Journal of Business and Management, , 17((11), ),
pp. 58-67..
Elnaga,
A. &. I. A., 2013. The effect of training on employee performance. European
journal of Business and Management, , 5((4), ), pp. 137-147..
Iqbal,
N. A. N. &. J. K., 2014. . Impact of Training on Employee Performance in
the context of Telecommunication sector of DG Khan,(Pakistan).. International
letters of social and humanistic sciences,, pp. 17, 60-73..
Nunnallly,
J., 1978. Psychometric theory.New York:McGraw-Hill.