Students' satisfaction with service quality in higher education institutions: the perspective of students' expectations and perceptions in Tanzania

The main study from which these datasets were extracted was conducted through pragmatic approach, where quantitative and qualitative data were collected. A cross-sectional survey design was employed to collect data from one selected Higher Education Institution in Tanzania. Questionnaires with seven Likert-like scales were used to collect data on students’ ratings on expectations, perceptions and satisfaction on service quality in Higher Education and intentions to re-enroll to the same Higher Education. The first year and finalist students were selected through cluster sampling of students pursuing different degree programs. The intent of the study was to examine the perceived differences of students’ expectations, perceptions and satisfaction based on differences of demographic characteristics. The collected data were initially analyzed by conducting Confirmatory Factor Analysis (CFA) to identify dimensions that determine service quality in Higher Education. In addition, Multi Linear Regression Analyses were conducted to examine the linear relation between quantitative (continuous) response variable and one or more independent variables. This was performed to study the relationship between several independent variables and each of the factors produced from factor analysis. Demographic characteristics such as mode of parenting, education level, and economic status, and schooling background, year of study and degree programme (specialization) were used as independent (continuous) variables while the two factors produced in CFA were used as dependent variables. Final data for interpretation were transformed into Tables with parameter estimates and standard errors of linear regression model for expectations, perceptions, satisfaction and intentions.

本数据集所源自的核心研究采用实用主义研究范式（pragmatic approach），同步采集定量与定性两类数据。该研究以坦桑尼亚某选定高等教育机构（Higher Education Institution）为调研对象，采用横断面调查设计（cross-sectional survey design）采集数据。研究使用包含7个李克特类量表（Likert-like scales）的问卷，采集学生对高等教育服务质量的期望、感知与满意度评分，以及其在本校续读的意向数据。研究通过整群抽样（cluster sampling）方法，选取修读不同学位项目的一年级与毕业班学生作为调研样本。本研究旨在探究学生的期望、感知与满意度基于人口统计学特征差异所呈现的感知差异。采集到的原始数据首先通过验证性因子分析（Confirmatory Factor Analysis, CFA）进行处理，以识别决定高等教育服务质量的维度。此外，本研究还开展了多元线性回归分析（Multi Linear Regression Analyses），以探究定量（连续型）因变量与一个或多个自变量之间的线性关系，具体用于分析多组自变量与因子分析所得各因子间的关联。研究选取的人口统计学特征作为自变量（连续型），涵盖养育方式、受教育水平、经济状况、学业背景、就读年级与学位项目（专业方向）等，而验证性因子分析得到的两个因子则作为因变量。最终用于解读的分析数据被整理为包含参数估计值与标准误的表格，分别对应期望、感知、满意度及续读意向的线性回归模型。