Data on empirical investigation of direct and indirect effect of personality traits on entrepreneurs’ commitment of SMEs

This data article presented the effect of the Big Five Personality traits on entrepreneurs’ commitment. 400 copies of questionnaire were administered to practicing entrepreneurs whom were members of a business guild in their annual end of year meeting and award day. 369 copies were duly filled and returned for use. Using statistic package for social science (SPSS 20) and Amos 22, correlation and regression analysis were used to find out the relationship between the two constructs and the strength of the relationship respectively. The Amos path diagram revealed the standardized estimates of the regression coefficient.


a b s t r a c t
This data article presented the effect of the Big Five Personality traits on entrepreneurs' commitment. 400 copies of questionnaire were administered to practicing entrepreneurs whom were members of a business guild in their annual end of year meeting and award day. 369 copies were duly filled and returned for use. Using statistic package for social science (SPSS 20) and Amos 22, correlation and regression analysis were used to find out the relationship between the two constructs and the strength of the relationship respectively. The Amos path diagram revealed the standardized estimates of the regression coefficient. &

Value of the data
This data present a robust analytical and statistical technique to establish the interconnectedness that exists between entrepreneurs' personality traits and commitment towards business performance.
The data describe the demographic structure of the entrepreneurs which can help in government formulation of non-discriminative policy towards gender, age and level of education.
The data contributes to the body of literature on entrepreneurs' personality traits and commitment towards business performance.
The data will aid academy discourse on the role of personality traits on the commitment of the entrepreneur.
Our data can be compared with others collected from another part of the country or other part of the world.

Data
The data for this article emanated from 400 copies of questionnaire administered to SMEs owners in six states of south west Nigeria. Each of the state received percentage of its total registered member over all the total registered members in South West Nigeria. 369 copies which were 92.2% of number administered were returned and satisfied useful for analysis. Fig. 1 and Table 1 show the demographic nature of the respondents and the coded data was imputed into SPSS which is attached with this article. Structural Equation Modelling (SEM) was used to test the relationship between the independent variable (Personality traits) and the dependent variable (entrepreneurs' commitment) [2,3]. The standardised regression estimates is given in Fig. 2 and Table 2 below and the correlation coefficient is presented in Table 3.

Experimental design, materials and methods
Multi-stage sampling technique was employed and it was made up of; 1) Cluster Sampling as it included all the six states branches in south west Nigeria 2) Purposive sampling as only registered member were used, and 3) Convenience Sampling Technique as registered members that attended the monthly meeting.
The questionnaire was the instrument used to gather this data. There were 32 items in the questionnaire 8 statements on the bio-data, 9 statements on entrepreneur commitment and its factors [4], and 15 statements on Personality traits [5]. The questionnaire contains 5 point Likert items which ranges from strongly agree ¼ 5, agree ¼ 4, undecided ¼ 3, disagree ¼ 2, and strongly disagree ¼ 1 [6]. The respondents are to evaluate based on their own understanding of the question or statement. Statistic package for social science (SPSS 20) and Amos 22 were the analytical instruments. Correlation and regression analysis were used to find out the connection between the two constructs and the strength of the relationship respectively. The Amos path diagram revealed the standardized estimates of the regression coefficients. Table 4 below shows the reliability test of the items in the instrument that shows the consistency and the repeatability and stability [7].