Influencing Factor in Senior High School Strand Preference

Abstract. This study examined the factors influencing strand preference among Grade 10 students at Buenavista Integrated School in Zamboanga City, Philippines, during the School Year 2025–2026. Specifically, the study investigated how selected demographic characteristics (age, sex, socioeconomic status, and academic performance) and contextual influences (family, peers, personal factors, and environmental considerations) shape students’ choices among the General Academic Strand (GAS), Humanities and Social Sciences (HUMSS), and Technical-Vocational-Livelihood (TVL). A descriptive–quantitative research design was employed, involving 73 Grade 10 students who were selected as respondents. Data were gathered using a structured survey questionnaire and analyzed through frequency distribution, mean scores, analysis of variance (ANOVA), and correlation analysis to determine the significance of the identified variables on strand preference. The results revealed that HUMSS was the most preferred strand (39.7%), followed by TVL (32.9%) and GAS (27.4%). Most respondents were aged 14–16 years old (91.8%), female (72.6%), and from middle-income families (74.0%), with an average academic performance categorized as satisfactory (M = 82.32). In terms of influencing factors, personal influence (M = 3.05) and environmental influence (M = 3.00) were rated as moderately influential, followed by family influence (M = 2.68), while peer influence (M = 2.37) had the lowest level of influence. Statistical analysis further indicated that age (p = .003), sex (p = .011), and socioeconomic status (p = .048) significantly influenced students’ strand preferences, while academic performance showed no significant influence on strand preference. The findings suggest that students’ strand choices are shaped by a complex interaction of demographic characteristics and contextual influences rather than academic performance alone. These results highlight the importance of strengthening school-based career guidance programs, enhancing academic and career counseling services, and providing equitable support mechanisms to assist students in making informed educational decisions aligned with their interests, abilities, and future career aspirations. Keywords: Academic Performance, Demographic Profile, Environmental Factors, Personal Influence, Strand Preference

Authors

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-03-12
DOI
https://doi.org/10.5281/zenodo.18975918
Primary Topic
Career Development and Diversity
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Influencing Factor in Senior High School Strand Preference

Nicole D. Montero, Chrisha Q. Andulom, Charles H. Degracia, ROMULO L. BAIS JR. et al.
Zenodo (CERN European Organization for Nuclear Research)
Career Development and Diversity
article

Influencing Factor in Senior High School Strand Preference

Nicole D. Montero, Chrisha Q. Andulom, Charles H. Degracia, ROMULO L. BAIS JR., Jemaica D. Noyad, Joebelle N. Dela Merced, Shaira Mae A. Maghanoy, Joshua L. Gardose, Hernani P. Esperat, Jancyrus G. Lucaylucay, Jay-Al Rico
article en

Abstract

Abstract. This study examined the factors influencing strand preference among Grade 10 students at Buenavista Integrated School in Zamboanga City, Philippines, during the School Year 2025–2026. Specifically, the study investigated how selected demographic characteristics (age, sex, socioeconomic status, and academic performance) and contextual influences (family, peers, personal factors, and environmental considerations) shape students’ choices among the General Academic Strand (GAS), Humanities and Social Sciences (HUMSS), and Technical-Vocational-Livelihood (TVL). A descriptive–quantitative research design was employed, involving 73 Grade 10 students who were selected as respondents. Data were gathered using a structured survey questionnaire and analyzed through frequency distribution, mean scores, analysis of variance (ANOVA), and correlation analysis to determine the significance of the identified variables on strand preference. The results revealed that HUMSS was the most preferred strand (39.7%), followed by TVL (32.9%) and GAS (27.4%). Most respondents were aged 14–16 years old (91.8%), female (72.6%), and from middle-income families (74.0%), with an average academic performance categorized as satisfactory (M = 82.32). In terms of influencing factors, personal influence (M = 3.05) and environmental influence (M = 3.00) were rated as moderately influential, followed by family influence (M = 2.68), while peer influence (M = 2.37) had the lowest level of influence. Statistical analysis further indicated that age (p = .003), sex (p = .011), and socioeconomic status (p = .048) significantly influenced students’ strand preferences, while academic performance showed no significant influence on strand preference. The findings suggest that students’ strand choices are shaped by a complex interaction of demographic characteristics and contextual influences rather than academic performance alone. These results highlight the importance of strengthening school-based career guidance programs, enhancing academic and career counseling services, and providing equitable support mechanisms to assist students in making informed educational decisions aligned with their interests, abilities, and future career aspirations. Keywords: Academic Performance, Demographic Profile, Environmental Factors, Personal Influence, Strand Preference

Zenodo (CERN European Organization for Nuclear Research)
Ateneo de Zamboanga University (PH), Universidad de Zamboanga (PH)
Openalex Percentile: Top 27%
Career Development and Diversity
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.