INFLATION, HOUSEHOLD EDUCATIONAL SPENDING, AND STUDENT RETENTION IN LOW-INCOME FILIPINO FAMILIES

Description

This study employs a quantitative descriptive-correlational research design to examine the relationship between inflation, household education spending, and student retention among low- income Filipino families. The descriptive part of the study is used to examine and demonstrate trends in inflation rates, education spending, and student retention patterns from 2019–2025. Meanwhile, the correlational approach focuses on the extent of the relationship between inflation, household education spending, and student retention. This research design is preferred because it allows for a systematic description of economic and educational conditions while identifying relationships among variables using quantitative data.

Steps to reproduce

To ensure transparency and reproducibility, the study followed a structured secondary data collection and analysis workflow. First, relevant datasets on inflation rates, household expenditures, and education indicators from 2019–2025 were identified and retrieved from official government sources, specifically the Philippine Statistics Authority, Bangko Sentral ng Pilipinas, and the Department of Education. These institutions were selected due to their authoritative and standardized reporting of national socioeconomic and educational statistics. Second, the collected datasets were screened for completeness, consistency, and relevance to the variables of the study (inflation trends, educational spending, and student retention). Only datasets within the 2019–2025 timeframe and relevant to low-income household indicators were included. Third, data were organized using spreadsheet software (e.g., Microsoft Excel or equivalent), where variables were coded and tabulated according to year and category. Inflation data were aligned with corresponding household expenditure and education indicators to ensure comparability across time. Finally, cleaned datasets were subjected to statistical analysis using descriptive and inferential techniques, including trend analysis, percentage computation, and correlation analysis. Published journal articles and policy reports were also reviewed to triangulate findings and support interpretation. This systematic workflow ensures that the study can be replicated by using the same publicly available datasets, time frame, and analytical procedures.

Institutions

• Biliran Province State University

  Eastern Visayas, Naval

Categories

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