Legal competencies in Colombian school administrators

Description

This dataset contains the primary quantitative and qualitative data supporting two complementary studies on legal competencies in Colombian school administrators. The repository includes one Excel file with raw survey responses used in Determinants of legal competencies in Colombian school administrators: a multivariate analysis, comprising 52 records, demographic and professional background variables, informed-consent fields, and a 23-item Likert-scale instrument on legal knowledge, regulatory compliance, institutional management, legal risk, and educational leadership. It also includes one Excel file with semi-structured interview responses associated with School Administrators and the Regulatory Framework: A Qualitative Analysis of Legal Competency Gaps, containing metadata, consent variables, demographic and professional information, and open-ended responses addressing legal training, regulatory awareness, institutional responsibility, oversight, legal challenges, and recommendations for strengthening legal competencies in school leadership. Together, these files provide complementary numerical and narrative evidence on how educational leaders and related professionals understand, experience, and respond to the legal and regulatory framework governing educational management in Colombia.

Steps to reproduce

To reproduce the findings, use the two Excel files contained in this dataset together with the procedures described in the associated manuscripts. For the quantitative component, open the survey dataset and identify the 23 Likert-scale items measuring legal competencies, along with the demographic and professional variables. Reproduce the cross-sectional analysis with the sample of 52 Colombian educational directors by computing descriptive statistics for each item, estimating inter-item correlations, and conducting one-sample tests against the midpoint of the scale. Then assess data suitability for factor analysis using the Kaiser-Meyer-Olkin index and Bartlett’s test of sphericity, followed by exploratory factor analysis using principal axis factoring with oblique (promax) rotation. Retain the factor solution according to eigenvalues, scree plot inspection, and interpretability, and calculate factor scores for each participant. Next, estimate a multivariate linear regression model using overall legal competency as the dependent variable and the extracted factor scores as predictors, and evaluate model performance using R², adjusted R², RMSE, MAE, and 5-fold cross-validation. The quantitative analyses were conducted in Python using NumPy, Pandas, SciPy, Scikit-learn, and Factor-Analyzer. For the qualitative component, open the interview dataset and review the responses to the semi-structured interview protocol focused on regulatory knowledge, legal training, institutional responsibility, legal challenges, and recommendations for improving legal competencies in school leadership. Reproduce the thematic analysis by conducting repeated familiarization with the responses, performing line-by-line coding, grouping codes into candidate themes, refining themes for internal coherence, and defining and naming final themes. The qualitative interpretation should combine inductive coding emerging from the data with deductive coding informed by the literature on legal competencies and educational leadership. Representative excerpts should then be used to support each final theme.

Institutions

• Universidad Autónoma del Perú

  Lima Province, Lima

Categories

Licence