PEER EFFECTS AND DETERMINANTS OF ACADEMIC ACHIEVEMENT IN TURKEY: EVIDENCE FROM PISA DATA USING A MULTILEVEL APPROACH.

This paper investigates the determinants of academic performance in Turkey using data from the 2018 PISA survey, relying on a multilevel micro-econometric modeling framework. The analysis combines fixed effects, random effects, and the Mundlak model to address endogeneity arising from unobserved specific effects and to disentangle individual and contextual influences. The findings highlight the importance of individual characteristics such as gender, age, native student status, grade repetition, and parental cultural and socioeconomic capital. Moreover, school-level factors—such as disciplinary climate, classroom socioeconomic composition, school type, and access to technological resources—play a critical role in shaping student achievement. These results are discussed in light of recent educational reforms in Turkey, including the extension of compulsory schooling, the FATIH initiative for ICT integration, and the National Plan for Inclusive Education. While the study acknowledges notable progress, it also underscores persistent challenges related to social, regional, and gender inequalities. It offers insights for enhancing both equity and quality in the Turkish education system through targeted policies and more effective resource allocation.

Institutions

Publication Details

Journal
PRSM
Published
2025-07-20
DOI
https://doi.org/10.34874/prsm.njsv-vol4iss2.58669
Primary Topic
School Choice and Performance
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

PEER EFFECTS AND DETERMINANTS OF ACADEMIC ACHIEVEMENT IN TURKEY: EVIDENCE FROM PISA DATA USING A MULTILEVEL APPROACH.

PRSM
School Choice and Performance
article

PEER EFFECTS AND DETERMINANTS OF ACADEMIC ACHIEVEMENT IN TURKEY: EVIDENCE FROM PISA DATA USING A MULTILEVEL APPROACH.

article en

Abstract

This paper investigates the determinants of academic performance in Turkey using data from the 2018 PISA survey, relying on a multilevel micro-econometric modeling framework. The analysis combines fixed effects, random effects, and the Mundlak model to address endogeneity arising from unobserved specific effects and to disentangle individual and contextual influences. The findings highlight the importance of individual characteristics such as gender, age, native student status, grade repetition, and parental cultural and socioeconomic capital. Moreover, school-level factors—such as disciplinary climate, classroom socioeconomic composition, school type, and access to technological resources—play a critical role in shaping student achievement. These results are discussed in light of recent educational reforms in Turkey, including the extension of compulsory schooling, the FATIH initiative for ICT integration, and the National Plan for Inclusive Education. While the study acknowledges notable progress, it also underscores persistent challenges related to social, regional, and gender inequalities. It offers insights for enhancing both equity and quality in the Turkish education system through targeted policies and more effective resource allocation.

PRSM
Mohammed V University (MA), Université Ibn-Tofail (MA)
Openalex Percentile: Top 29%
School Choice and Performance
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.