Figure 4.1: Tests of Normality Kolmogorov-Smirnova Shapiro-Wilk Statistic df Sig. Statistic df Sig. Productivity score before training .098 50 .200* .977 50 .424 Productivity score after training .101 50 200* .969 50 215 *. This is a lower bound of the true significance. a. Lilliefors Significance Correction Figure 4.2: Paired Samples Statistics Mean N Std. Deviation Std. Error Mean Pair 1 Productivity score before training 54.0600 50 12.45958 1.76205 Productivity score after training 64.5200 50 9.85660 1.39393 Figure 4.3: Paired Samples Correlations N Correlation Sig. Pair 1 Productivity score before training & Productivity score after training 50 .739 .000 Figure 4.4: Paired Samples Test Paired Differences Std. 95% Confidence Interval of the Difference Std. Error Mean Deviation Mean Lower Upper t df Sig. (2- tailed) Pair Productivity -10.460 8.4255 1.1915 -12.8545 -8.0655 -8.779 49 .000 1 score before training - Productivity score after training Table 4.1: The excerpt of the evaluation of employees' productivity before and after the training. Employee Ref # Pre-training productivity score Post-training productivity score 001 56 64 002 46 58 003 52 65 004 65 72 005 50 66 006 55 68 007 62 66 008 63 69 009 57 61 050 62 71

Management, Loose-Leaf Version
13th Edition
ISBN:9781305969308
Author:Richard L. Daft
Publisher:Richard L. Daft
Chapter19: Managing Quality And Performance
Section: Chapter Questions
Problem 10DQ
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Mr. Roger Munson, the owner-manager of a construction company, is skeptical about investing in training for his 50 construction employees. He believes the investment might be wasted if the newly skilled employees are quickly poached by other companies, and he doubts the training will yield significant productivity improvements. Nevertheless, a performance management consultant argues that enhancing employee skills will boost productivity and positively impact the company’s bottom line. Reluctantly, Mr. Munson has agreed to allow the consultant to conduct a study involving the training of all 50 employees. Providing the training services pro bono, with payment contingent upon demonstrating, through empirical evidence, that the training results in significant productivity gains within a three-month period following the training. Table 4.1 presents an excerpt of the evaluation comparing each employee’s productivity before and after the training. Employee productivity was measured as a percentage of target output achieved over a defined time period, with performance assessed against set benchmarks.

REQUIRED:

Identify and justify the research design underpinning the study, using supporting evidence from the
provided data.


Identify the independent variables (IV) and the dependent variable (DV) in the study, clearly state the
main research question, and formulate both the null and alternative hypotheses. 


Using the standard reporting format, provide a comprehensive interpretation of the results of the
inferential analyses presented in Figures 4.1 to 4.4. In your interpretation, include an analysis of TWO
limitations of the study, discussing their potential impact on the findings, and recommend whether they
should receive payment for the training services provided, substantiating your response with relevant
evidence and reasoning.

Figure 4.1:
Tests of Normality
Kolmogorov-Smirnova
Shapiro-Wilk
Statistic
df
Sig.
Statistic
df
Sig.
Productivity score before training
.098
50
.200*
.977
50
.424
Productivity score after training
.101
50
200*
.969
50
215
*. This is a lower bound of the true significance.
a. Lilliefors Significance Correction
Figure 4.2:
Paired Samples Statistics
Mean
N
Std. Deviation
Std. Error Mean
Pair 1
Productivity score before training
54.0600
50
12.45958
1.76205
Productivity score after training
64.5200
50
9.85660
1.39393
Figure 4.3:
Paired Samples Correlations
N
Correlation
Sig.
Pair 1
Productivity score before training & Productivity score
after training
50
.739
.000
Figure 4.4:
Paired Samples Test
Paired Differences
Std.
95% Confidence Interval
of the Difference
Std.
Error
Mean
Deviation
Mean
Lower
Upper
t
df
Sig. (2-
tailed)
Pair
Productivity
-10.460
8.4255
1.1915
-12.8545
-8.0655
-8.779
49
.000
1
score before
training -
Productivity
score after
training
Transcribed Image Text:Figure 4.1: Tests of Normality Kolmogorov-Smirnova Shapiro-Wilk Statistic df Sig. Statistic df Sig. Productivity score before training .098 50 .200* .977 50 .424 Productivity score after training .101 50 200* .969 50 215 *. This is a lower bound of the true significance. a. Lilliefors Significance Correction Figure 4.2: Paired Samples Statistics Mean N Std. Deviation Std. Error Mean Pair 1 Productivity score before training 54.0600 50 12.45958 1.76205 Productivity score after training 64.5200 50 9.85660 1.39393 Figure 4.3: Paired Samples Correlations N Correlation Sig. Pair 1 Productivity score before training & Productivity score after training 50 .739 .000 Figure 4.4: Paired Samples Test Paired Differences Std. 95% Confidence Interval of the Difference Std. Error Mean Deviation Mean Lower Upper t df Sig. (2- tailed) Pair Productivity -10.460 8.4255 1.1915 -12.8545 -8.0655 -8.779 49 .000 1 score before training - Productivity score after training
Table 4.1: The excerpt of the evaluation of employees' productivity before and after the training.
Employee Ref #
Pre-training productivity score
Post-training productivity score
001
56
64
002
46
58
003
52
65
004
65
72
005
50
66
006
55
68
007
62
66
008
63
69
009
57
61
050
62
71
Transcribed Image Text:Table 4.1: The excerpt of the evaluation of employees' productivity before and after the training. Employee Ref # Pre-training productivity score Post-training productivity score 001 56 64 002 46 58 003 52 65 004 65 72 005 50 66 006 55 68 007 62 66 008 63 69 009 57 61 050 62 71
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