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PILOT STUDY RESULTS
TURNAROUND STRATEGIES AND
PERFORMANCE OF SELECTED
PUBLIC UNIVERSITIES IN KENYA
Nyanchama Janealtone Florence
HDB311-C007-0487/2018
Location of the Pilot Study
• The 33 respondents were be drawn from Embu University, Kirinyaga
University and The Cooperative University of Kenya which are outside
the rift valley region.
• The 33 respondents were supplied with questionnaires and 30 of
them returned the questionnaires
• The purpose of pre-testing was to aid in refining the content and
language used in the questionnaire.
• Calculation of the Cronbach’s Alpha test was computed to facilitate
the understanding of reliability and validity of the survey tool that will
be used to collect data (Mugenda & Mugenda, 2003).
Reliability Test Results
For diversification strategies the results were as follows:
Reliability Statistics
Cronbach's Alpha Cronbach's Alpha Based on
Standardized Items
N of Items
.748 .763 4
Reliability Test for Operational Restructuring
Reliability Statistics
Cronbach's Alpha Cronbach's Alpha Based on Standardized Items N of Items
.738 .757 5
Reliability Test Results for Management
Restructuring
Reliability Statistics
Cronbach's Alpha Cronbach's Alpha Based on
Standardized Items
N of Items
.787 .842 5
Performance Reliability Test Results
Reliability Statistics
Cronbach's Alpha Cronbach's Alpha Based on Standardized
Items
N of Items
.773 .822 4
Whole Instrument Reliability test
• Cronbach’s alpha coefficient was used to determine the reliability and
internal consistency of the 18-item Turnaround strategies and
performance.
• Therefore, the results indicate that scale has good reliability and
internal consistency (Cronbach’s alpha coefficient = 0.762).
Reliability Statistics for the Whole Instrument
Reliability Statistics
Cronbach's Alpha N of Items
.720 18
Item-Total Statistics
Scale Mean if Item
Deleted
Scale Variance if Item
Deleted
Corrected Item-Total
Correlation
Cronbach's Alpha if
Item Deleted
Operational 8.0545 2.754 .007 .738
Management 8.0909 1.807 .651 . 787
Diversitication 8.3273 1.489 .301 . 748
Perfomance 8.1455 1.878 .501 . 773
Interpretation of reliability coefficient
• Interpret the reliability coefficient to provide insight into the reliability
of the measure.
• A higher coefficient indicates greater internal consistency or
reliability. The following general guidelines for interpretation are
used:
• Alpha coefficient values between 0.70 and 0.80 are considered
acceptable.
• Values above 0.80 indicate good reliability.
• Values below 0.70 may suggest lower reliability and may require
further investigation or refinement of the measure.
DIAGNOSTIC TESTS
Multicolineality Test
Coefficientsa
Model Unstandardized Coefficients Standardized
Coefficients
t Sig. Collinearity Statistics
B Std. Error Beta Tolerance variance
inflation
factor (VIF)
1
(Constant) 1.414 .430 3.290 .003
Operational -.475 .131 -.427 -3.617 .001 .825 1.212
Management .860 .135 .784 6.371 .000 .760 1.316
Diversitication .101 .074 .159 1.378 .179 .866 1.155
a. Dependent Variable: Perfomance
Interpretation
• The variance inflation factor (VIF) values indicated for the
predictor variables operational, management restructuring
and diversification,are above 1 and less that ten which shows
that there is no multicollinearity issues in the data (Ray-
Mukherjee et al., 2014).
Heteroscedasticity Test
Between Restructuring variables and performance
Interpretation
• The scatter points are on the lower part of the scatter
plot indicating that there could be low correlation
between the variables.
• The distribution of the scatter points indicate the
assumptions of linearity and homoscedasticity are
adhered to and correlation test can be conducted.
Normality Test
Between Restructuring Variables and Performance
Tests of Normalitya,
Perfomance Kolmogorov-Smirnovc Shapiro-Wilk
Statistic df Sig. Statistic df Sig.
Operational
2.50 .319 6 .056 .683 6 .074
2.75 .266 9 .066 .794 9 .097
3.25 .319 6 .056 .683 6 .504
Management 2.75 .414 9 .000 .617 9 .600
3.25 .319 6 .056 .683 6 .074
Diversitication
2.50 .319 6 .056 .683 6 .344
2.75 .311 9 .012 .760 9 .567
3.25 .319 6 .056 .683 6 .084
a. Lilliefors Significance Correction
Interpretation
• Since the sample is less than 50 then Shapiro Test is
appropriate
• If the Sig. value of the Shapiro-Wilk Test is greater than 0.05,
the data is normal. If it is below 0.05, the data significantly
deviate from a normal distribution.
• The Values of the variables are greater than 0.05 hence the
data is normally distributed
Conclusion
• Since the Cronbach’s alpha coefficients of the
variables are above .70 as recommended by then the
variables measure give a consistent reliable results.
• Similarly the overall Cronbach’s alpha coefficient is
0.762 which is higher than the recommended 0.70
threshold.
Panel Input
Thank you all.
I welcome your input

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PILOT STUDY RESULTS TURNAROUND - EDITED.pptx

  • 1. PILOT STUDY RESULTS TURNAROUND STRATEGIES AND PERFORMANCE OF SELECTED PUBLIC UNIVERSITIES IN KENYA Nyanchama Janealtone Florence HDB311-C007-0487/2018
  • 2. Location of the Pilot Study • The 33 respondents were be drawn from Embu University, Kirinyaga University and The Cooperative University of Kenya which are outside the rift valley region. • The 33 respondents were supplied with questionnaires and 30 of them returned the questionnaires • The purpose of pre-testing was to aid in refining the content and language used in the questionnaire. • Calculation of the Cronbach’s Alpha test was computed to facilitate the understanding of reliability and validity of the survey tool that will be used to collect data (Mugenda & Mugenda, 2003).
  • 3. Reliability Test Results For diversification strategies the results were as follows: Reliability Statistics Cronbach's Alpha Cronbach's Alpha Based on Standardized Items N of Items .748 .763 4
  • 4. Reliability Test for Operational Restructuring Reliability Statistics Cronbach's Alpha Cronbach's Alpha Based on Standardized Items N of Items .738 .757 5
  • 5. Reliability Test Results for Management Restructuring Reliability Statistics Cronbach's Alpha Cronbach's Alpha Based on Standardized Items N of Items .787 .842 5
  • 6. Performance Reliability Test Results Reliability Statistics Cronbach's Alpha Cronbach's Alpha Based on Standardized Items N of Items .773 .822 4
  • 7. Whole Instrument Reliability test • Cronbach’s alpha coefficient was used to determine the reliability and internal consistency of the 18-item Turnaround strategies and performance. • Therefore, the results indicate that scale has good reliability and internal consistency (Cronbach’s alpha coefficient = 0.762).
  • 8. Reliability Statistics for the Whole Instrument Reliability Statistics Cronbach's Alpha N of Items .720 18 Item-Total Statistics Scale Mean if Item Deleted Scale Variance if Item Deleted Corrected Item-Total Correlation Cronbach's Alpha if Item Deleted Operational 8.0545 2.754 .007 .738 Management 8.0909 1.807 .651 . 787 Diversitication 8.3273 1.489 .301 . 748 Perfomance 8.1455 1.878 .501 . 773
  • 9. Interpretation of reliability coefficient • Interpret the reliability coefficient to provide insight into the reliability of the measure. • A higher coefficient indicates greater internal consistency or reliability. The following general guidelines for interpretation are used: • Alpha coefficient values between 0.70 and 0.80 are considered acceptable. • Values above 0.80 indicate good reliability. • Values below 0.70 may suggest lower reliability and may require further investigation or refinement of the measure.
  • 10. DIAGNOSTIC TESTS Multicolineality Test Coefficientsa Model Unstandardized Coefficients Standardized Coefficients t Sig. Collinearity Statistics B Std. Error Beta Tolerance variance inflation factor (VIF) 1 (Constant) 1.414 .430 3.290 .003 Operational -.475 .131 -.427 -3.617 .001 .825 1.212 Management .860 .135 .784 6.371 .000 .760 1.316 Diversitication .101 .074 .159 1.378 .179 .866 1.155 a. Dependent Variable: Perfomance
  • 11. Interpretation • The variance inflation factor (VIF) values indicated for the predictor variables operational, management restructuring and diversification,are above 1 and less that ten which shows that there is no multicollinearity issues in the data (Ray- Mukherjee et al., 2014).
  • 13. Interpretation • The scatter points are on the lower part of the scatter plot indicating that there could be low correlation between the variables. • The distribution of the scatter points indicate the assumptions of linearity and homoscedasticity are adhered to and correlation test can be conducted.
  • 14. Normality Test Between Restructuring Variables and Performance Tests of Normalitya, Perfomance Kolmogorov-Smirnovc Shapiro-Wilk Statistic df Sig. Statistic df Sig. Operational 2.50 .319 6 .056 .683 6 .074 2.75 .266 9 .066 .794 9 .097 3.25 .319 6 .056 .683 6 .504 Management 2.75 .414 9 .000 .617 9 .600 3.25 .319 6 .056 .683 6 .074 Diversitication 2.50 .319 6 .056 .683 6 .344 2.75 .311 9 .012 .760 9 .567 3.25 .319 6 .056 .683 6 .084 a. Lilliefors Significance Correction
  • 15. Interpretation • Since the sample is less than 50 then Shapiro Test is appropriate • If the Sig. value of the Shapiro-Wilk Test is greater than 0.05, the data is normal. If it is below 0.05, the data significantly deviate from a normal distribution. • The Values of the variables are greater than 0.05 hence the data is normally distributed
  • 16. Conclusion • Since the Cronbach’s alpha coefficients of the variables are above .70 as recommended by then the variables measure give a consistent reliable results. • Similarly the overall Cronbach’s alpha coefficient is 0.762 which is higher than the recommended 0.70 threshold.
  • 17. Panel Input Thank you all. I welcome your input