Quantile Regression Analysis for Students’ Difficulty Level in Learning Statistics Online DOI Open Access
Leomarich F. Casinillo

JPI (Jurnal Pendidikan Indonesia), Год журнала: 2023, Номер 12(4), С. 607 - 614

Опубликована: Дек. 23, 2023

Statistics learning in the time of distance education makes students uneasy due to difficulties environment and processes. This article aims analyze level difficulty faced by statistics captures causal factors affecting it. Cross-sectional secondary data were used from a current study literature described standard statistical measures. The utilized during online setup as dependent variable form scale 1 10. descriptive Moreover, this also use quantile regression models constructed. Results depicted that facing "difficulty" they learn education. revealed environment, inaccessible places (rural areas), more family members are statistically significant influence online. implies distractive place learning, cannot focus penetrate their lessons. In addition, struggling with communication technology internet access wherein it is vital classroom engagement acquisition resources. Hence, suggests must be supported government regard needs teachers promote positive interesting educational environment. Furthermore, undergo training workshops on how equipped teaching

Язык: Английский

Predictors of students’ SQ3R in Learning Statistics During Distance Education: an Ordinal Logit Modeling DOI Open Access
Leomarich F. Casinillo, Melbert O. Hungo,

Rujube Hermano

и другие.

JPI (Jurnal Pendidikan Indonesia), Год журнала: 2024, Номер 13(1), С. 192 - 201

Опубликована: Апрель 28, 2024

Studying statistics during distance education is challenging due to limitations and communication problems. This has an impact on learning activities that could be more optimal. research aims analyze students' SQ3R level in determine its significant predictors. type of quantitative research. The design this study complex correlational data collection method uses a questionnaire. Data analysis techniques use descriptive inferential statistics. Secondary from existing studies were used summarized using standard statistical metrics. In addition, ordinal regression was the predictors tested at significance level. Findings reveal students usually learn online learning. model illustrates ability read review shaped by environment, teaching attitudes, physical emotional health, free time activities. suggests improve education, educational institutions professors should create conducive strategic methods, emphasize importance harmonious habits method.

Язык: Английский

Процитировано

1

Characterizing the Resilience of Micro, Small, and Medium Enterprises (MSMEs) and Its Causal Determinants Amid the Health Crisis DOI Creative Commons
G-mar D. Mondragon, Leomarich F. Casinillo, Analita Salabao

и другие.

Philippine Social Science Journal, Год журнала: 2024, Номер 6(3), С. 46 - 53

Опубликована: Фев. 2, 2024

Business resilience is the ability to quickly recover from difficulties and continue operating by applying innovative strategies. The article aims document level of micro, small, medium enterprises (MSMEs) in Pacific towns Southern Leyte, Philippines, capture its causal determinants amid health crisis using descriptive correlational research design. Using a research-made questionnaire, cross-sectional primary data were collected random sample MSMEs summarized statistical measures. significant determined Chi-square test for independence via cross-tabulation categorical data. Results depicted that, on average, during pandemic are "resilient", particularly their situational awareness, keystone vulnerabilities, adaptive capacity as they combat disruption crisis. reveals that age, civil status, business job position MSMEs' personnel, estimated monthly income enterprise highly factors affect In particular, younger single owner more active creative digital technology, which increases response challenges brought about pandemic. Moreover, with lower incomes do adopt strategies improve economic profit. Furthermore, study suggests must consider strategic plans goals enhance capability risk management will face future crises.

Язык: Английский

Процитировано

0

Regression model for students’ learning style in distance statistics education DOI Creative Commons
Leomarich F. Casinillo

EDUCATUM Journal of Science Mathematics and Technology, Год журнала: 2023, Номер 10(1), С. 71 - 79

Опубликована: Июнь 23, 2023

Students have different kinds of acquisition styles depending on their convenience in the learning environment. This study aims to look into (visual, auditory, and tactile) among students statistics during new normal at Visayas State University, Leyte, Philippines. In addition, article tends determine various correlating factors that significantly influence styles. Secondary data were utilized from an existing current paper literature analyzed using standard descriptive ordinal regression. Results analysis showed students' as visual, tactile are rated "sometimes." indicates ability is adversely affected by pandemic. On average, preferred a visual style distance education. means prefer read representations like books, handouts, modules, others, lessons online. Regression revealed younger more likely learners, higher family income governing auditory number hours studying leisure time makes learners. conclusion, must be provided with detailed materials for lessons, encourage them providing realistic interesting activities. Furthermore, teachers show positive vibes lessen stress advise good management how correctly suits normal.

Язык: Английский

Процитировано

1

Quantile Regression Analysis for Students’ Difficulty Level in Learning Statistics Online DOI Open Access
Leomarich F. Casinillo

JPI (Jurnal Pendidikan Indonesia), Год журнала: 2023, Номер 12(4), С. 607 - 614

Опубликована: Дек. 23, 2023

Statistics learning in the time of distance education makes students uneasy due to difficulties environment and processes. This article aims analyze level difficulty faced by statistics captures causal factors affecting it. Cross-sectional secondary data were used from a current study literature described standard statistical measures. The utilized during online setup as dependent variable form scale 1 10. descriptive Moreover, this also use quantile regression models constructed. Results depicted that facing "difficulty" they learn education. revealed environment, inaccessible places (rural areas), more family members are statistically significant influence online. implies distractive place learning, cannot focus penetrate their lessons. In addition, struggling with communication technology internet access wherein it is vital classroom engagement acquisition resources. Hence, suggests must be supported government regard needs teachers promote positive interesting educational environment. Furthermore, undergo training workshops on how equipped teaching

Язык: Английский

Процитировано

0