APPENDIX 13 MULTIVARIABLE ANALYSIS
Bootstrap Specifications
Sampling Method | Simple |
Number of Samples | 500 |
Confidence Interval Level | 95.0% |
Confidence Interval Type | Percentile |
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GLM GEND AGE EDUC WEXP OWNS SIZE POSI BY Retention
/METHOD=SSTYPE(3)
/INTERCEPT=INCLUDE
/CRITERIA=ALPHA(.05)
/DESIGN= Retention.
Multivariate Tests a
Effect
Value | F | Hypothesis df | Error df | Sig. | ||
Pillai's Trace | .905 | 1075,960 b | 7,000 | 787,000 | .000 | |
Intercept | Wilks' Lambda | .095 | 1075,960 b | 7,000 | 787,000 | .000 |
Hotelling's Trace | 9,570 | 1075,960 b | 7,000 | 787,000 | .000 | |
Roy's Largest Root | 9,570 | 1075,960 b | 7,000 | 787,000 | .000 | |
Pillai's Trace | .727 | 1.108 | 581,000 | 5551.000 | .044 | |
Retention | Wilks' Lambda | .462 | 1.108 | 581,000 | 5505.489 | .045 |
Hotelling's Trace | .819 | 1.107 | 581,000 | 5497,000 | .045 | |
Roy's Largest Root | .162 | 1,547 c | 83,000 | 793,000 | .002 |
a. Design: Intercept + Retention
b. Exact statistics
c. The statistic is an upper bound on F that yields a lower bound on the significance level.
Tests of Between-Subjects Effects
Source
Dependent Variable | Type III Sum of Squares | df | Mean Square | F | |
GEND | 25,262 a | 83 | .304 | 1,253 | |
AGE | 86,709 b | 83 | 1,045 | 1,033 | |
Corrected Model | EDUC | 34,275 c | 83 | .413 | 1,008 |
WEXP | 51,924 d | 83 | .626 | 1,078 | |
OWNS | 63.118 e | 83 | .760 | .899 |
SIZE | 95.388 f | 83 | 1,149 | 1,249 | |
POSI | 49,076 g | 83 | .591 | 1,253 | |
GEND | 377,054 | 1 | 377,054 | 1552.216 | |
AGE | 1505.368 | 1 | 1505.368 | 1489,177 | |
EDUC | 514.131 | 1 | 514.131 | 1255.258 | |
Intercept | WEXP | 805.809 | 1 | 805.809 | 1387.912 |
OWNS | 743,323 | 1 | 743,323 | 878,681 | |
SIZE | 1087.465 | 1 | 1087.465 | 1182.123 | |
POSI | 548,256 | 1 | 548,256 | 1161.717 | |
GEND | 25,262 | 83 | .304 | 1,253 | |
AGE | 86,709 | 83 | 1,045 | 1,033 | |
EDUC | 34,275 | 83 | .413 | 1,008 | |
Retention | WEXP | 51,924 | 83 | .626 | 1,078 |
OWNS | 63,118 | 83 | .760 | .899 | |
SIZE | 95,388 | 83 | 1,149 | 1,249 | |
POSI | 49,076 | 83 | .591 | 1,253 | |
GEND | 192,631 | 793 | .243 | ||
AGE | 801.622 | 793 | 1.011 | ||
EDUC | 324,799 | 793 | .410 | ||
Error | WEXP | 460,409 | 793 | .581 | |
OWNS | 670,841 | 793 | .846 | ||
SIZE | 729,501 | 793 | .920 | ||
POSI | 374,245 | 793 | .472 | ||
GEND | 2089,000 | 877 | |||
AGE | 7958,000 | 877 | |||
Total | |||||
EDUC | 2681,000 | 877 | |||
WEXP | 4356,000 | 877 |
Tests of Between-Subjects Effects
Source | Dependent Variable | Sig. |
GEND | .071a | |
AGE | .403b | |
EDUC | .462c | |
Corrected Model | WEXP | .306d |
OWNS | .725e | |
SIZE | .074f | |
POSI | .071 g | |
GEND | .000 | |
Intercept | ||
AGE | .000 |
EDUC | .000 | |
WEXP | .000 | |
OWNS | .000 | |
SIZE | .000 | |
POSI | .000 | |
GEND | .071 | |
AGE | .403 | |
EDUC | .462 | |
Retention | WEXP | .306 |
OWNS | .725 | |
SIZE | .074 | |
POSI | .071 | |
GEND | ||
AGE | ||
EDUC | ||
Error | WEXP | |
OWNS | ||
SIZE | ||
POSI | ||
GEND | ||
AGE | ||
Total | ||
EDUC | ||
WEXP |
Tests of Between-Subjects Effects
Source
Dependent Variable | Type III Sum of Squares | df | Mean Square | F | |
Total | OWNS | 4218,000 a | 877 | ||
SIZE | 6081.000 b | 877 | |||
POSI | 2948,000 c | 877 | |||
GEND | 217,893 d | 876 | |||
AGE | 888.331 e | 876 | |||
EDUC | 359,074 f | 876 | |||
Corrected Total | WEXP | 512,333 g | 876 | ||
OWNS | 733,959 | 876 | |||
SIZE | 824,889 | 876 | |||
POSI | 423,320 | 876 |
APPENDIX 14
OUTLINE FOR DISCUSSING RESEARCH RESULTS
Research design
1. Introduction
Research has discovered 4 criteria to identify talent
- Ability to work well in assigned role
- Ability to handle change
- Ability to continuously learn
- Ability to come up with creative ideas to solve problems
In which the criterion of being able to give creative ideas to solve problems is a new criterion discovered in this study.
The research results show that all factors have a positive impact on talent retention at commercial banks, in which the commitment factor has the strongest impact on talent retention at commercial banks. In addition, the results show that there is no difference in gender, age, education level, bank ownership, bank size and working position of talents.
Qualitative research was conducted to confirm the findings of this study and to enhance the managerial implications of the study.
2. Research objectives
The objective of this qualitative study is to add more management considerations to the study to retain talent at commercial banks in Vietnam.
3. Research methods
Qualitative research conducted one-on-one discussions with banking experts to consolidate and clarify a number of issues
Discussion outline
1. According to you, do you agree with the 4 criteria for identifying talent as stated in the research results? Do you have any suggestions for alternative criteria?
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2. According to you, to maintain talent at commercial banks, managers at
What policies do small commercial banks need to have to retain talent to compete with large commercial banks?
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