Research Article: 2022 Vol: 28 Issue: 4S
Ariyono Setiawan, Universitas Negeri Surabaya
Munoto, Universitas Negeri Surabaya
Luthfiyah Nurlaela, Universitas Negeri Surabaya
Citation Information: Setiawan, A., Munoto, & Nurlaela, L. (2022). Bayesian independent samples T-test for analysis factor entrepreneurial of vocational school. Academy of Entrepreneurship Journal, 28(S4), 1- 14.
Entrepreneurship debriefing is one way that schools can do today to be able to equip students from an early age with motivation, knowledge about entrepreneurship. There are several factors that can be used as desire, motivation, character, and readiness. By doing survey respondents and data analysis because it uses conditional probability as the basis. In this Bayesian analysis, it is used as a determinant of factors that can influence a student to be open or ready to do entrepreneurship by using T test analysis as a comparative test to assess the difference between the factor value and the sample population value obtained from the factors of a student's interest in entrepreneurship and ready to practice entrepreneurship. Bayesian Independent Samples T-Test For Analysis Factor Entrepreneurial Of Vocational Schools with quantitative methods. Data analysis is carried out starting with organizing the data because the nature of quantitative data is generally very much and varied. The population in this study were all cadets in the ministry of air transportation. In this study, the population was about 585, but the data sample used by the author for the time being is a sample obtained by using a random sample method from the entire population.
Vocational School, Entrepreneurship, Bayesian Independent, T-Test, Cadet
Vocational schools that exist today are trying to make their students from job seeker to be job creator, there are many ways that vocational schools can be independent when students graduate or complete their studies. Entrepreneurship debriefing is one way that schools can do today to be able to equip students from an early age with motivation, knowledge about entrepreneurship. There are several factors that can be used as desire, motivation, character, and readiness. These factors can be seen from the student's interest that multiplying the potential in early entrepreneurship can be recognized, and then it can be directed to training and mentoring incubator to find suitable and appropriate entrepreneurs for each student.
In this study, Bayesian analysis is used, namely to analyze uncertainty or can usually be reduced from the information data collected, so that it can perform a better analysis. By doing survey respondents and data analysis because it uses conditional probability as the basis. In this Bayesian analysis, it is used as a determinant of factors that can influence a student to be open or ready to do entrepreneurship by using T test analysis as a comparative test to assess the difference between the factor value and the sample population value obtained from the factors of a student's interest in entrepreneurship and ready to practice entrepreneurship.
Data Collection
In the process of finding answers to the problem formulation and research objectives, it is necessary to collect relevant data. The data collection was carried out in various ways, including library research, filling out questionnaires with several instruments from the variables of Interest, Efficacy, Knowledge, Motivation, Character, and Readiness.
Data Analysis
In this research, Bayesian Independent Samples T-Test For Analysis Factor Entrepreneurial Of Vocational Schools with quantitative methods. Data analysis is carried out starting with organizing the data because the nature of quantitative data is generally very much and varied. Organizing the data so that the data obtained is neat, structured, systematic, and complete. In the process of organizing the right data, researchers can obtain good quality data, document the analysis carried out, store the data and analyze it for the completion of the research carried out. Data analysis that is carried out is to use . The research location is an air transportation school with Bayesian Independent Samples T-Test For Analysis Factor Entrepreneurial Of Vocational School with a population of cadets, lecturers and the general public.
Population and Sample
The population in this study were all cadets in the ministry of air transportation. In this study, the population was about 585, but the data sample used by the author for the time being is a sample obtained by using a random sample method from the entire population.
Intrument Questionnaire
The sample population in this study was obtained from the air transportation school ministry of transportation.
Table 1 Statistical description sample for sex |
||
---|---|---|
Descriptive Statistics | Sex | |
Female | Male | |
Valid | 198 | 387 |
Missing | 0 | 0 |
Mean | 7.727 | 7.850 |
Std. Deviation | 2.534 | 2.560 |
Minimum | 3.000 | 1.000 |
Maximum | 10.000 | 10.000 |
With a sample value of 585 respondents, among them are 198 women and 387 men, resulting in the following calculation
Table 2 Statistical description sample for status |
|||
---|---|---|---|
Descriptive Statistics | |||
Status | |||
Cadets | General | Lecturer | |
Valid | 537 | 34 | 14 |
Missing | 0 | 0 | 0 |
Mean | 7.784 | 8.206 | 7.786 |
Std. Deviation | 2.564 | 2.508 | 2.155 |
Minimum | 1.000 | 1.000 | 4.000 |
Maximum | 10.000 | 10.000 | 10.000 |
Respondents with cadet status as many as 537 respondents from the public as many as 34 respondents and from lecturers as many as 14 respondents
Table 3 Descriptive statistics variable |
||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|
EFF1 | INT1 | MOT1 | KNW1 | CHA1 | RED1 | |||||||
Female | Male | Female | Male | Female | Male | Female | Male | Female | Male | Female | Male | |
Valid | 198 | 387 | 198 | 387 | 198 | 387 | 198 | 387 | 198 | 387 | 198 | 387 |
Missing | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Mean | 7.152 | 7.367 | 7.727 | 7.850 | 7.530 | 7.509 | 6.753 | 6.933 | 7.939 | 7.742 | 7.843 | 7.630 |
Std. Deviation | 2.386 | 2.482 | 2.534 | 2.560 | 2.474 | 2.583 | 2.481 | 2.507 | 2.420 | 2.583 | 2.378 | 2.534 |
Skewness | -0.573 | -0.774 | -0.780 | -0.969 | -0.775 | -0.823 | -0.364 | -0.554 | -0.910 | -0.873 | -0.857 | -0.826 |
Std. Error of Skewness | 0.173 | 0.124 | 0.173 | 0.124 | 0.173 | 0.124 | 0.173 | 0.124 | 0.173 | 0.124 | 0.173 | 0.124 |
Kurtosis | -0.960 | -0.740 | -0.989 | -0.575 | -0.788 | -0.742 | -1.114 | -0.949 | -0.677 | -0.743 | -0.700 | -0.748 |
Std. Error of Kurtosis | 0.344 | 0.247 | 0.344 | 0.247 | 0.344 | 0.247 | 0.344 | 0.247 | 0.344 | 0.247 | 0.344 | 0.247 |
Minimum | 2.000 | 1.000 | 3.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 3.000 | 1.000 | 3.000 | 1.000 |
Maximum | 10.000 | 10.000 | 10.000 | 10.000 | 10.000 | 10.000 | 10.000 | 10.000 | 10.000 | 10.000 | 10.000 | 10.000 |
25th percentile | 5.000 | 5.000 | 5.000 | 6.000 | 5.250 | 5.000 | 4.000 | 4.000 | 6.000 | 5.000 | 6.000 | 5.000 |
50th percentile | 8.000 | 8.000 | 9.000 | 9.000 | 8.000 | 9.000 | 7.000 | 8.000 | 9.000 | 9.000 | 9.000 | 9.000 |
75th percentile | 9.000 | 9.000 | 10.000 | 10.000 | 10.000 | 10.000 | 9.000 | 9.000 | 10.000 | 10.000 | 10.000 | 10.000 |
25th percentile | 5.000 | 5.000 | 5.000 | 6.000 | 5.250 | 5.000 | 4.000 | 4.000 | 6.000 | 5.000 | 6.000 | 5.000 |
50th percentile | 8.000 | 8.000 | 9.000 | 9.000 | 8.000 | 9.000 | 7.000 | 8.000 | 9.000 | 9.000 | 9.000 | 9.000 |
75th percentile | 9.000 | 9.000 | 10.000 | 10.000 | 10.000 | 10.000 | 9.000 | 9.000 | 10.000 | 10.000 | 10.000 | 10.000 |
Data Retrieval
In the process of finding answers to the formulation of the problem and the purpose of this research, it is very necessary to collect relevant data. These data were collected in various ways, including literature studies, filling out questionnaires with several instruments every variable.
Data analysis
This type of research is descriptive with quantitative methods. Data analysis was carried out starting with the organization of the data because the nature of quantitative data was generally very numerous and varied. Organizing the data so that the data obtained is neat, structured, systematic, and complete. In the process of organizing the right data, researchers can obtain good quality data, document the analysis carried out, store the data and analyze it for the completion of the research carried out. Data analysis that is carried out is by using Bayesian Independent Samples T-Test. The research location is an air transportation school with a population of lecturer cadets and the general public
Cluster is a collection of objects or data that have similarities with one another in the same cluster and are not similar to objects in different clusters (Jain, 2010).
Table 4 Bayesian independent samples T-test |
||
---|---|---|
BF10 | error % | |
EFF1 | 0.159 | 2.285e -4 |
INT1 | 0.113 | 3.296e -4 |
MOT1 | 0.098 | 3.840e -4 |
KNW1 | 0.135 | 2.710e -4 |
CHA1 | 0.143 | 2.549e -4 |
RED1 | 0.155 | 2.344e -4 |
By analyzing data from each variable BF10 and error %, the results are as in the table
Prior and Posterior
Table 5 Result with bayesian independent samples t-test |
|||||||
---|---|---|---|---|---|---|---|
95% Credible Interval | |||||||
Group | N | Mean | SD | SE | Lower | Upper | |
EFF1 | Female | 198 | 7.152 | 2.386 | 0.170 | 6.817 | 7.486 |
Male | 387 | 7.367 | 2.482 | 0.126 | 7.119 | 7.615 | |
INT1 | Female | 198 | 7.727 | 2.534 | 0.180 | 7.372 | 8.082 |
Male | 387 | 7.850 | 2.560 | 0.130 | 7.594 | 8.106 | |
MOT1 | Female | 198 | 7.530 | 2.474 | 0.176 | 7.184 | 7.877 |
Male | 387 | 7.509 | 2.583 | 0.131 | 7.251 | 7.767 | |
KNW1 | Female | 198 | 6.753 | 2.481 | 0.176 | 6.405 | 7.100 |
Male | 387 | 6.933 | 2.507 | 0.127 | 6.682 | 7.183 | |
CHA1 | Female | 198 | 7.939 | 2.420 | 0.172 | 7.600 | 8.278 |
Male | 387 | 7.742 | 2.583 | 0.131 | 7.483 | 8.000 | |
RED1 | Female | 198 | 7.843 | 2.378 | 0.169 | 7.510 | 8.177 |
Male | 387 | 7.630 | 2.534 | 0.129 | 7.377 | 7.884 |
This research was conducted to see if there is Bayes method can only be used for classification problems with supervised learning and categorical data from the entrepreneurial interests of each cadet. The success rate of the test using the Bayes method is very dependent on the factors where students get learning about entrepreneurship that is given so that it affects the interest and readiness of the cadets to be able to start opening a business.
Suggestion
Based on research data, then suggested for future researchers to develop research on the approach contextual through different methods or comparing several methods.
The authors whose names are listed immediately below certify that they have NO affiliations with or involvement in any organization or entity with financial interest (such as honoraria; educational grants; participation in speakers’ bureaus; membership, employment, consultancies, stock ownership, or other equity interest; and expert testimony or patent-licensing arrangements), or non-financial interest (such as personal or professional relationships, affiliations, knowledge or beliefs) in the subject matter or materials discussed in this manuscript.
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Received: 03-Feb-2022, Manuscript No. AEJ-22-10686; Editor assigned: 05- Feb -2022, PreQC No. AEJ-22-10686 (PQ); Reviewed: 19- Feb-2022, QC No. AEJ-22-10686; Revised: 26-Feb-2022, Manuscript No. AEJ-22-10686 (R); Published: 10-Mar-2022