Global Journal of Management and Business Research, A: Administration and Management, Volume 23 Issue 9

Determinants of Electronic Banking Service Adoption the Case of Economic Leadership in Bank in Economics Leadership Global Journal of Management and Business Research ( A ) XXIII Issue IX Version I Year 2023 26 © 2023 Global Journals collection methods .therefore in this study both primary and secondary data collection methods would be used. f) Data Analysis Method There are two types of data analysis namely descriptive and inferential data analysis methods. Therefore in this research inferential analysis would be used to analysis the determinants of electronic banking service adoption in Economics leadership economics in bank ECONOMICS LEADERSHIP. From different inferential analysis methods correlation and regression would be used. After the data would be recorded and edited in order to support the analysis I would be used use spss method. g) Reliability and Validity Reliability is one of the characteristics and /or quality of measure of constructs. As of Bhattacherjee (2012), reliability is the degree to which the measure of a construct is consistent or dependable. I would be sent questioner to my adviser to evaluate the standards of the questioner and then drop un standard questioner and continue standard questioner. I will evaluate other standardize questioners from other researchers and I will practice plot test to other organization. Reliability refers to the consistency of measure. To measure the reliability of the questioners I would be used test re-test approach to estimate reliability (using Pearson product – moment correlation coefficient). C hapter F our: D ata A nalysis and I nterpretation The purpose of this research was to investigate determinants of electronic banking service adoption: A study conducted in ECONOMICS LEADERSHIP city Economics leadership economics in bank. Data Analysis of the findings generated from the results of survey which were conducted through the questionnaires. This chapter presented a discussion of the final results and the process through which the results obtained. In addition to this, background information of respondents also presented. Finally, the statistical methods of analysis were discussed, which included a descriptive analysis, a correlation analysis, and a regression analysis through SPSS version 25. A total of 180 questionnaires were distributed and the response rate was indicated in the table below. Table 4.1: response rate Items Response Rate Sample size 180 (100%) Collected 162 (90%) Remain un Collected 18 (10%) Source: own survey, 2021. Table 4.1: Response Rate Items Response Rate Sample size 180 100% Collected 162 90% Remain Un collected 18 10% Source: Own Survey 2021 G. C From the above table 4.1, 180 questionnaires were distributed and 162 questionnaires (90%) collected and 10 questionnaires (10%) were remaining uncollected. a) Demographic Profile of the Respondents Demographic Profile of the Respondents Items Frequency Percentage(%) Gender Male 107 66% Female 55 34% Total 162 100% Age 21-30 57 35.2% 31-40 34 21% 41-50 49 30.2% Above 50 22 13.6% Total 162 100% Marital Status Single 82 50.6% Married 69 42.6% Divorce 9 5.6% Widow 2 1.2% Total 162 100% Educational Level Diploma & below 35 21.6% Table 4.2: