Global Journal of Medical Research, E: Gynecology and Obstetrics, Volume 23 Issue 3

this study, which was carried out using SmartPLS software 3.0. This statistical technique is used to assess the constructs' discriminant validity, path coefficients, validity and reliability of the constructs, and structural model. In the case of exploratory research, researchers regularly used SmartPLS, especially in the marketing sector (Hair et al., 2012). c) Target Population As the study context is the MRT in Bangladesh, the target population is the users of MRT in Bangladesh. The persons who traveled by MRT frequently are mainly targeted in this study since they could scale in-depth insights and experience with MRT. The population of this study includes people who have traveled by the MRT several times. d) Questionnaire Design and Pretesting The data was collected by an in-person survey using a closed-ended structured questionnaire using a five-point Likert scale ranging from strongly disagree (1) to strongly agree (5)(Emerson, 2015). Furthermore, the respondents' confidentiality and anonymity were protected by the researchers. The researchers provided an introduction before the survey began and explained why it was being conducted. 290 questionnaires were supplied to the respondents where 39 questionnaires were found incomplete in getting actual responses. 251 surveys were found to be full and suitable for statistical analysis, and the response rate of 86.55% met the benchmark or general guideline for the Smart PLS procedures, according to the researchers (Urbach & Ahlemann, 2010). We collected our data from March to October 2023 (eight months). For better and more insightful understanding we prepared the questionnaire in both English and Bengali languages. Before beginning the primary data collection process, we conducted two rounds of pre-testing on our questionnaire. Two subject-matter experts extensively examined the study questionnaire's first draft. In the following stage, 30 MRT users pretested the questionnaire. We moderated our questionnaire accordingly. Finally, 24 items that are the best fit for the questionnaire were retained. e) Sample Size, Sample Technique, and Data Collection obtain the needed sample size for the research (Aseres & Sira, 2020). The convenient sampling technique is appropriate when a large sample size is required for generalization (Tsiotsou, 2015) and it makes the data collection quick and easier (Senyo & Osabutey, 2020). The authors collected data from MRT stations, their waiting areas, and inside the metro rails. The confidence level in this study's methodology is set at 95%. Information for secondary sources was gamthered from prior publications, including papers, books, online sources, and others. Despite this, the researchers chose a deductive method over an inductive one because the study's base was an established theory of the Bangladeshi context (Ziyad et al., 2020). SMART-PLS 3.00 was used to evaluate the data. V. F indings and A nalysis a) Demographic Profile From table-01, it’s been seen that most of the respondents are male passengers (74.90%) followed by female passengers (25.10%).Furthermore, the majority of the respondents (38.25%) fall in the age group of 24- 30 years followed by 31-37 aged respondents (29.89%). Besides, the majority portion of the respondents (43.03%) are undergraduates followed by graduates (34.26%). The income range of the majority of respondents (39.44%) is between 20,001- 30,000 taka per month. In addition to that the most significant number of respondents (56.97%) have used MRT services more than 10 times in their journeys. Global Journal of Management and Business Research ( E ) XXIII Issue III Version I Year 2023 7 © 2023 Global Journals Evaluating the Satisfaction of Passengers towards Metro Rail Services- Bangladesh Perspective This study has focused on a field survey to evaluate the satisfaction of MRT passengers in Bangladesh. Dhaka city has been taken into consideration as the MRT is functioning only in this city in the country. The sample-to-variable ratio should not be less than 5:1, even though a 15:1 or 20:1 ratio is preferred (Hair et al., 2018; Liao et al., 2016; Yeoh et al., 2016; Forsberg & Rantala, 2020).In light of these references, the minimum sample size in our study should be 20*8=160. The non-probability convenience sampling technique is considered by the researchers to