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TIA Repository
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Browsing by Author "Gasper, Laban"

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    Effect of Student Satisfaction on Retention in Higher Learning Institutions: A Case of TIA Mwanza Campus
    (African Journal of Accounting and Social Science Studies (AJASSS), 2024-11-30) Odilah, Thomas; Magoma, Anthony; Gasper, Laban
    The satisfaction and retention for students in Higher Learning Institutions (HLIs) has attracted significant scholarly interest. In today’s highly competitive and technologically advanced environment, the survival of HLIs hinges on addressing student satisfaction by offering a diverse range of services to combat the issues of attrition. Thus, this study investigates the relationship between student satisfaction and retention rates in HLIs. Tanzania Institute of Accountancy–Mwanza campus was purposively selected for this study. A cross￾sectional survey strategy was used in gathering data from a sample of 323 students from different academic departments. A structured questionnaire with 23 items helped the collection of quantitative data. Data was analyzed using binary logistic regression in IBM SPSS Statistics Version 29. Results reveal that the quality of instructors, admission process, and mentorship programs positively and significantly influence student retention. These findings imply that HLIs should prioritize strategic investments in streamline admission procedures and implement comprehensive mentorship programs to enhance student satisfaction and retention. From a policy perspective, the study underscores the need for institutional policies that mandate the regular evaluation and improvement of student support services to reduce dropout rates and enhance overall educational experience. These results are crucial in developing various strategies aimed at improving the educational experience of students at TIA and eventually attracting more students in the future by reducing any cases of attrition among the current students.
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    Modelling Consumer Price Index in Tanzania: Holt Winter’s Approach
    (IJMAE, 2023-08-28) Ernest, Enid; Gasper, Laban
    Consumer price index (CPI) is a socioeconomic statistic that tracks changes over time in the average price of consumer goods and services such as household purchases of fuel, transportation, food and so on that consumers buy, use, or pay for. The purchasing power of everyone is impacted by rising costs, especially if salaries stay the same. Our ability to purchase more things with our TZS reduces when the CPI increases more quickly than earnings, which has an impact on our cost of living. The aim of this study is to use the CPI monthly data from IMF website for the period from Jan 2010 to Dec 2022 to develop a forecasting model by using Holt Winter’s approach. Holt Winter's model based on four equations and popularly known as Triple exponential smoothing is commonly used in forecasting data with trends and seasonality. Holt Winter’s model is composed of four equations relating to level, trend, seasonal and forecast. The results revealed that the Holt winter’s model with smoothing parameters, 0.9 for level, 0.12 for trend, and 0.03 for seasonal was the best model in forecasting Consumer Price Index. The CPI for Tanzania is predicted for the next eighteen months and it has been observed that the trend of CPI is likely to increase in the next eighteen months.

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