Development of the Mongolian school climate inventory

<p><span lang="EN-US">The school climate is an essential aspect of educational practices and policies. </span><span lang="EN-US">This study aims to investigate Mongolian secondary school teachers’ perceptions of school climate and develop a measurement tool. </span><span lang="EN-US">The study involved 686 randomly selected teachers, and research data were collected online from the Mongolian National Educational Evaluation Centre. Statistical analysis was conducted using SPSS-21 software. This study was conducted in three phases: item generation, a pilot study, and a main study. Firstly, 77 items were developed on a 5-point Likert scale based on a literature review. Before the main survey, a pilot test was carried out with 200 teachers from the southern province of the country. Finally, an exploratory factor analysis (EFA) with Promax rotation was used to explore the content validity of the survey. Cronbach’s alpha was applied to assess the reliability of each factor. The statistical analysis revealed a 14-factor structure </span><span lang="EN-US">based on the data. The reliability analysis results indicated that internal consistency for all factors is at an acceptable level. The study’s overall results suggest that the proposed inventory is a validated measurement tool to examine teachers’ perceptions of the school climate in Mongolian secondary schools.</span></p>

Institutions

Publication Details

Journal
International Journal of Evaluation and Research in Education (IJERE)
Published
2025-09-12
DOI
https://doi.org/10.11591/ijere.v14i5.30433
Primary Topic
Geochemistry and Geologic Mapping
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Development of the Mongolian school climate inventory

International Journal of Evaluation and Research in Education (IJERE)
Geochemistry and Geologic Mapping
article

Development of the Mongolian school climate inventory

article en

Abstract

<p><span lang="EN-US">The school climate is an essential aspect of educational practices and policies. </span><span lang="EN-US">This study aims to investigate Mongolian secondary school teachers’ perceptions of school climate and develop a measurement tool. </span><span lang="EN-US">The study involved 686 randomly selected teachers, and research data were collected online from the Mongolian National Educational Evaluation Centre. Statistical analysis was conducted using SPSS-21 software. This study was conducted in three phases: item generation, a pilot study, and a main study. Firstly, 77 items were developed on a 5-point Likert scale based on a literature review. Before the main survey, a pilot test was carried out with 200 teachers from the southern province of the country. Finally, an exploratory factor analysis (EFA) with Promax rotation was used to explore the content validity of the survey. Cronbach’s alpha was applied to assess the reliability of each factor. The statistical analysis revealed a 14-factor structure </span><span lang="EN-US">based on the data. The reliability analysis results indicated that internal consistency for all factors is at an acceptable level. The study’s overall results suggest that the proposed inventory is a validated measurement tool to examine teachers’ perceptions of the school climate in Mongolian secondary schools.</span></p>

International Journal of Evaluation and Research in Education (IJERE)Vol. 14(5)
Mongolian National University of Education (MN), National University of Mongolia (MN)
Climate action
Openalex Percentile: Top 39%
Geochemistry and Geologic Mapping
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.