Abstract
This article presents data on the effect of professional attraction to entrepreneurship and the development of entrepreneurial intentions by university students using Covenant University in Nigeria as the case study. The study employed a descriptive quantitative research design by means of survey method. The population of the study comprised all students in the selected university with a total of 7988 students. A sample size of 400 students was selected. Reliability and validity measures were established. Data was analyzed employing Statistical Package for Social Sciences (SPSS). Regression analysis was used as statistical tool of analysis. The analyzed field data set is presented in this article.
Keywords: Professional attraction, Entrepreneurial intention, University students Nigeria
Specification Table
| Subject area | Business, Management |
| More Specific Subject Area | Human Resource Management, Entrepreneurship |
| Type of Data | Table |
| How Data was Acquired | Customer researcher questionnaire |
| Data format | Raw, analyzed, Inferential statistical data |
| Experimental Factors | Sample consisted of university students. The researcher-made questionnaire which contained data on professional attraction and entrepreneurial intention of university were completed. |
| Experimental features | Professional attraction is an important component of entrepreneurial development of students in universities |
| Data source location | South west Nigeria |
| Data Accessibility | Data is included in this article |
Value of data
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These data present information on professional attraction as it relates to entrepreneurial intentions of students in the university context. This is important considering that professional attraction to a career in entrepreneurship reinforces the propensity for development of entrepreneurial intentions.
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The data set showed that fostering professional attraction for entrepreneurship in universities has implications for job creation potentials by university students.
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The data set can motivate the identification of relevant professional attraction indices required to stimulate the development of entrepreneurial intentions by university students.
1. Data
The data comprised inferential statistical data on professional attraction and entrepreneurial intentions of students of covenant university Nigeria. Professional attraction in this context refers to the extent to which students hold a positive or negative assessment of engaging in entrepreneurship. Entrepreneurial intention also refers to the efforts of a student in carrying out entrepreneurial behavior. Specifically, regression analysis was employed to test the hypothesis proposed. Table 1 shows the model summary of the analysis based on the hypothesis tested. The analysis revealed that professional attraction explained 34.6% variance in entrepreneurial intention (R2=0.346, p<0.05). Showing that the more university students are attracted to entrepreneurship as a career the greater the propensity to engage in efforts towards carrying out entrepreneurial behavior while in school.
Table 1.
Model summary.
| Model | R | R Square | Adjusted R Square | Standard error of the estimate |
|---|---|---|---|---|
| 1 | 0.589a | 0.346 | 0.343 | 0.97729 |
Predictors: (Constant), Professional attraction.
Source: Field Survey, 2017.
H01: Professional attraction does not affect entrepreneurial intention.
Table 2 shows Analysis of Variance. Table showing the statistical significance of the results gotten. The Analysis of Variance table relates the variance of the residuals from the regression model to the variance of the original data. The model showed the effect of professional attraction on entrepreneurial intention. The F-value is calculated as the Mean Square Regression (98.196) divided by the Mean Square Residual (0.955), yielding F=102.812. From this result, the model in the table is statistically significant (Sig=0.000).
Table 2.
Analysis of variancea.
| Model | Sum of squares | Degree of freedom | Mean square | F | Significance | |
|---|---|---|---|---|---|---|
| 1 | Regression | 98.196 | 1 | 98.196 | 102.812 | 0.000b |
| Residual | 185.289 | 194 | 0.955 | |||
| Total | 283.485 | 195 | ||||
Dependent variable: Entrepreneurial intention.
Predictors: (Constant), Professional attraction.
Source: Field Survey, 2017.
Table 3 shows regression coefficients. The regression coefficient offers information on the predictable variation in the dependent variable based on a one-unit increase in the independent variable. Based on the results the table below revealed the contributions of professional attraction on entrepreneurial intention and the levels of significance. (Professional attraction; β=0.589; t=10.140; p<0.05).
Table 3.
Coefficientsa.
| Model | Unstandardized Coefficients |
Standardized Coefficients |
T | Significance | 95.0% confidence interval for B |
|||
|---|---|---|---|---|---|---|---|---|
| B | Standard Error | Beta | Lower Bound | Upper Bound | ||||
| 1 | (Constant) | 1.217 | 0.331 | 3.672 | .000 | 0.563 | 1.870 | |
| Professional attraction | 0.596 | 0.059 | 0.589 | 10.140 | .000 | 0.480 | 0.712 | |
Dependent variable: Entrepreneurial intention.
Source: Field Survey, 2017.
2. Experimental design, materials and methods
The data presented a quantitative research based on a descriptive research design to assess the effect of professional attraction on entrepreneurial intentions of university students [1], [2], [6]. Survey method was deemed suitable for data collection. Covenant University was selected from South west Nigeria [3]. The study population included all students of Covenant University, which has a population of 7898 students. A randomly chosen set of 400 students participated in this research. The sample size was derived using the Ref. [1] formula. According to Ref. [1], the sample size for a research study can be determined through the following presentation:
From the estimation, a population of 7898 students at alpha value of 0.05 will produce a sample size of 367 respondents. Hence, 400 respondents were used to make room for lost copies of questionnaire or the ones that are not well completed. Data were collected from students across the various colleges in the selected university using a customized researcher- made questionnaire [4], [5]. The data was coded and inputted in SPSS version 25. Data was analyzed employing inferential statistical tests involving regression analysis (Table 4).
Table 4.
Determination of sample size.
| Populationsize | Sample size |
|||||
|---|---|---|---|---|---|---|
| Continuous data | Categorical data | |||||
| (margin of error=0.03) |
(margin of error=0.05) |
|||||
| alpha=0.10 | alpha=0.05 | alpha=0.01 | p=0.50 | p=0.50 | p=0.50 | |
| t=1.65 | t=1.96 | t=2.58 | t=1.65 | t=1.96 | t=2.58 | |
| 100 | 46 | 55 | 68 | 74 | 80 | 87 |
| 200 | 59 | 75 | 102 | 116 | 132 | 154 |
| 300 | 65 | 85 | 123 | 143 | 169 | 207 |
| 400 | 69 | 92 | 137 | 162 | 196 | 250 |
| 500 | 72 | 96 | 147 | 176 | 218 | 286 |
| 600 | 73 | 100 | 155 | 187 | 235 | 316 |
| 700 | 75 | 102 | 161 | 196 | 249 | 341 |
| 800 | 76 | 104 | 166 | 203 | 260 | 363 |
| 900 | 76 | 105 | 170 | 209 | 270 | 382 |
| 1000 | 77 | 106 | 173 | 213 | 278 | 399 |
| 1500 | 79 | 110 | 183 | 230 | 306 | 461 |
| 2000 | 83 | 112 | 189 | 239 | 323 | 499 |
| 4000 | 83 | 119 | 198 | 254 | 351 | 570 |
| 6000 | 83 | 119 | 209 | 259 | 362 | 598 |
| 8000 | 83 | 119 | 209 | 262 | 367 | 613 |
| 10,000 | 83 | 119 | 209 | 264 | 370 | 623 |
Source: [1].
Acknowledgement
The authors wish to recognize the management of Covenant University for fully sponsoring this research work.
Footnotes
Transparency data associated with this article can be found in the online version at doi:10.1016/j.dib.2018.06.009.
Supplementary data associated with this article can be found in the online version at doi:10.1016/j.dib.2018.06.009.
Contributor Information
A. Omotayo Osibanjo, Email: ade.osibanjo@covenantuniversity.edu.ng.
Maxwell Olokundun, Email: maxwell.olokundun@covenantuniversity.edu.ng, ayomax@yahoo.com.
Ovidiu Bordean, Email: ovidiu.bordean@econ.ubbcluj.ro.
Anthonia Adeniji, Email: anthonia.adeniji@covenantuniversity.edu.ng.
Salau Odunayo, Email: salau.odunayo@covenantuniversity.edu.ng.
Stephen Ibidunni, Email: anthonia.adeniji@covenantuniversity.edu.ng.
Transparency document. Supplementary material
Supplementary material
.
Appendix A. Supplementary material
Supplementary material
.
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Supplementary Materials
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