Datasets Comparison

This dataset underpins the mixed-methods study “From Classroom to Workplace: Knowledge and Attitudinal Readiness for Sexual Harassment Prevention among Hospitality Students in Ghana.” It integrates quantitative and qualitative data exploring how hospitality students understand, experience, and prepare to prevent sexual harassment in educational–industrial transition contexts. The quantitative dataset (n = 277) includes variables measuring harassment impact, cultural barriers, victim-blaming, and prevention measures. It contains item-level data, reliability indices (Cronbach’s α, CR, AVE), HTMT discriminant validity, measurement invariance (gender and internship experience), ICC clustering, and regression models with cluster-robust standard errors. The qualitative dataset (n = 13) comprises anonymised interview transcripts coded using Braun and Clarke’s six-phase thematic analysis. Themes include institutional preparation gaps, harassment awareness, gendered experiences, informal support reliance, and industry-specific vulnerabilities. Together, the datasets provide a unique Ghanaian perspective on gender, power, and workplace dignity in hospitality education and offer a valuable resource for replication, cross-cultural comparison, and theory building.

Data Collection and Reproducibility Notes This dataset was generated through a mixed-methods sequential explanatory design that combined quantitative and qualitative approaches to examine hospitality students’ knowledge, attitudes, and readiness to prevent and respond to sexual harassment in Ghana. Ethical approval was obtained from the AAMUSTED Research Ethics Committee and all participants provided informed consent. Data collection took place between January and June 2024 across three technical universities. Quantitative Component: A structured questionnaire was administered to 277 hospitality students (final-year and penultimate-year) selected through stratified random sampling to ensure gender and institutional balance. The instrument contained 40 Likert-type items grouped under four validated constructs: Harassment Impact, Normalisation and Victim-Blaming, Cultural Barriers, and Prevention Measures. Content validity was established through expert review and pilot testing (n = 30). Statistical validation confirmed internal consistency and construct reliability (Cronbach’s α = 0.520–0.964; CR = 0.806–0.973; AVE = 0.676–0.876). Data were processed using SPSS Version 29 for descriptive and reliability analyses, and R Version 4.3 (lavaan and psych packages) for Confirmatory Factor Analysis, measurement invariance, and Intraclass Correlation Coefficient (ICC = 22.75%). Cluster-robust standard errors were applied to account for university-level nesting. Syntax files and correlation matrices are provided for reproducibility. Qualitative Component: Thirteen students were purposefully selected for semi-structured interviews representing diverse genders, academic levels, and internship experiences. Each interview lasted between 45 and 90 minutes, focusing on harassment awareness, reporting behaviour, institutional preparedness, and cultural influences. Audio data were transcribed verbatim, anonymised, and validated by participants. Analysis followed Braun and Clarke’s (2006) six-phase thematic approach using NVivo 14 software. Both inductive and deductive coding were applied, resulting in 28 codes across five main themes: institutional preparation gaps, harassment awareness, personal experiences, reliance on informal support, and vulnerabilities specific to the industry. Reproducibility: Researchers can replicate the study by using the same instrument (found in Questionnaire_Instrument.pdf), applying similar sampling methods, and rerunning the analytical scripts (CFA_R_script.R, Measurement_Invariance.R). Qualitative replication is possible using the provided codebook and thematic framework. All data, syntax, and documentation in this repository are anonymised and formatted for reuse in R, SPSS, and NVivo.

Hospitality, Ghana, Sexual Harassment, Gender Equality, Sustainable Development Goals

Creative Commons Attribution 4.0 International

This dataset underpins the mixed-methods study “From Classroom to Workplace: Knowledge and Attitudinal Readiness for Sexual Harassment Prevention among Hospitality Students in Ghana.” It integrates quantitative and qualitative data exploring how hospitality students understand, experience, and prepare to prevent sexual harassment in educational–industrial transition contexts. The quantitative dataset (n = 277) includes variables measuring harassment impact, cultural barriers, victim-blaming, and prevention measures. It contains item-level data, reliability indices (Cronbach’s α, CR, AVE), HTMT discriminant validity, measurement invariance (gender and internship experience), ICC clustering, and regression models with cluster-robust standard errors. The qualitative dataset (n = 13) comprises anonymised interview transcripts coded using Braun and Clarke’s six-phase thematic analysis. Themes include institutional preparation gaps, harassment awareness, gendered experiences, informal support reliance, and industry-specific vulnerabilities. Together, the datasets provide a unique Ghanaian perspective on gender, power, and workplace dignity in hospitality education and offer a valuable resource for replication, cross-cultural comparison, and theory building.

Data Collection and Reproducibility Notes This dataset was generated through a mixed-methods sequential explanatory design that combined quantitative and qualitative approaches to examine hospitality students’ knowledge, attitudes, and readiness to prevent and respond to sexual harassment in Ghana. Ethical approval was obtained from the AAMUSTED Research Ethics Committee and all participants provided informed consent. Data collection took place between January and June 2024 across three technical universities. Quantitative Component: A structured questionnaire was administered to 277 hospitality students (final-year and penultimate-year) selected through stratified random sampling to ensure gender and institutional balance. The instrument contained 40 Likert-type items grouped under four validated constructs: Harassment Impact, Normalisation and Victim-Blaming, Cultural Barriers, and Prevention Measures. Content validity was established through expert review and pilot testing (n = 30). Statistical validation confirmed internal consistency and construct reliability (Cronbach’s α = 0.520–0.964; CR = 0.806–0.973; AVE = 0.676–0.876). Data were processed using SPSS Version 29 for descriptive and reliability analyses, and R Version 4.3 (lavaan and psych packages) for Confirmatory Factor Analysis, measurement invariance, and Intraclass Correlation Coefficient (ICC = 22.75%). Cluster-robust standard errors were applied to account for university-level nesting. Syntax files and correlation matrices are provided for reproducibility. Qualitative Component: Thirteen students were purposefully selected for semi-structured interviews representing diverse genders, academic levels, and internship experiences. Each interview lasted between 45 and 90 minutes, focusing on harassment awareness, reporting behaviour, institutional preparedness, and cultural influences. Audio data were transcribed verbatim, anonymised, and validated by participants. Analysis followed Braun and Clarke’s (2006) six-phase thematic approach using NVivo 14 software. Both inductive and deductive coding were applied, resulting in 28 codes across five main themes: institutional preparation gaps, harassment awareness, personal experiences, reliance on informal support, and vulnerabilities specific to the industry. Reproducibility: Researchers can replicate the study by using the same instrument (found in Questionnaire_Instrument.pdf), applying similar sampling methods, and rerunning the analytical scripts (CFA_R_script.R, Measurement_Invariance.R). Qualitative replication is possible using the provided codebook and thematic framework. All data, syntax, and documentation in this repository are anonymised and formatted for reuse in R, SPSS, and NVivo.

Hospitality, Ghana, Sexual Harassment, Gender Equality, Sustainable Development Goals

Creative Commons Attribution 4.0 International