DOI: 10.57760/sciencedb.28973
title: Emotion Regulation and Reintegration in UK Military Veterans: ERQ-PN Survey Responses and Semi-Structured Interview Transcripts (2025)
title: Emotion Regulation and Reintegration in UK Military Veterans: ERQ-PN Survey Responses and Semi-Structured Interview Transcripts (2025)

description: This dataset contains quantitative and qualitative data collected as part of a mixed-methods study examining emotion regulation and reintegration in non-clinically diagnosed UK military veterans. Data generation followed a concurrent mixed-methods design. The quantitative component consists of responses to the Emotion Regulation Questionnaire – Positive/Negative (ERQ-PN; De Jesús-Romero et al., 2024), administered via Qualtrics between April and June 2025. The survey included 16 Likert-scale items across four subscales (Negative Reappraisal, Negative Suppression, Positive Reappraisal, Positive Suppression) and demographic items covering age, gender, years of service, and years since leaving service. A total of 93 valid responses were included after listwise deletion for missing data, all 133 responses are recorded in the data. Columns represent individual items or demographic variables, and rows represent participants.The qualitative component comprises anonymised transcripts from 14 semi-structured interviews conducted via Microsoft Teams between May and July 2025. Interviews explored veterans’ experiences of post-service adjustment and their use of emotion regulation strategies in daily life. Transcripts were generated using Microsoft Teams’ automated transcription function, checked manually for accuracy, and anonymised to remove identifying information. Each transcript is stored as a separate text file in .docx.Data cleaning included removal of incomplete survey cases, standardisation of variable names, and anonymisation of qualitative materials. No device-based physiological data were collected. All data are in common file formats (.csv for survey data; .docx for transcripts), accessible with standard software packages.Missing data were minimal: 39 incomplete survey responses were excluded, leaving a final sample size of 93. No data errors were identified during cleaning. The dataset is intended for secondary use in research on military-to-civilian transition, emotion regulation, reintegration, or mixed-methods approaches to psychological study design.
description: This dataset contains quantitative and qualitative data collected as part of a mixed-methods study examining emotion regulation and reintegration in non-clinically diagnosed UK military veterans. Data generation followed a concurrent mixed-methods design. The quantitative component consists of responses to the Emotion Regulation Questionnaire – Positive/Negative (ERQ-PN; De Jesús-Romero et al., 2024), administered via Qualtrics between April and June 2025. The survey included 16 Likert-scale items across four subscales (Negative Reappraisal, Negative Suppression, Positive Reappraisal, Positive Suppression) and demographic items covering age, gender, years of service, and years since leaving service. A total of 93 valid responses were included after listwise deletion for missing data, all 133 responses are recorded in the data. Columns represent individual items or demographic variables, and rows represent participants.The qualitative component comprises anonymised transcripts from 14 semi-structured interviews conducted via Microsoft Teams between May and July 2025. Interviews explored veterans’ experiences of post-service adjustment and their use of emotion regulation strategies in daily life. Transcripts were generated using Microsoft Teams’ automated transcription function, checked manually for accuracy, and anonymised to remove identifying information. Each transcript is stored as a separate text file in .docx.Data cleaning included removal of incomplete survey cases, standardisation of variable names, and anonymisation of qualitative materials. No device-based physiological data were collected. All data are in common file formats (.csv for survey data; .docx for transcripts), accessible with standard software packages.Missing data were minimal: 39 incomplete survey responses were excluded, leaving a final sample size of 93. No data errors were identified during cleaning. The dataset is intended for secondary use in research on military-to-civilian transition, emotion regulation, reintegration, or mixed-methods approaches to psychological study design.