Dataset: Academic Stress, Advisor Relationship Quality, and Burnout Among Graduate Students

Published: 9 March 2026| Version 1 | DOI: 10.17632/jshnfwy3ys.1
Contributor:
Yavuz Gül

Description

This dataset contains survey data collected from graduate students enrolled in a public university. The data were collected to examine the relationships between advisor relationship quality, academic stress, and burnout among graduate students within the framework of the Study Demands–Resources (SD-R) model. The dataset includes responses from 178 graduate students. The following constructs are included in the dataset: Advisor Relationship Quality (AR-16 items) Academic Stress (AS-9 items) Burnout (B-10 items) In addition, several demographic and control variables are included: gender age program type (Master’s / PhD) thesis stage All variables are measured using Likert-type scales. The dataset was used to test a mediation model examining the role of academic stress in the relationship between advisor relationship quality and burnout. This dataset supports the findings reported in the associated research article and can be used for replication, secondary analyses, or methodological studies involving structural equation modeling.

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Steps to reproduce

The dataset was collected through an online survey administered to graduate students enrolled in a public university. Participation was voluntary and anonymous. Data collection took place during the 2024 academic year. Participants completed a questionnaire including three validated scales: • Advisor Relationship Quality Scale (Schlosser & Gelso, 2001; Turkish adaptation by Arısoy et al., 2024) – 16 items • Academic Expectations Stress Inventory (Ang & Huan, 2006; Turkish adaptation by Kelecioğlu & Bilge, 2009) – 9 items • Short Burnout Scale (Malach-Pines, 2005; Turkish adaptation by Tümkaya et al., 2009) – 10 items Responses were recorded using Likert-type response scales. After data collection, the dataset was cleaned and prepared for analysis. Descriptive statistics, reliability analyses, confirmatory factor analysis (CFA), and structural equation modeling (SEM) were conducted using R statistical software (version 4.3.2) with the lavaan and semTools packages. The analysis followed the two-step approach recommended by Anderson and Gerbing (1988), in which the measurement model was first evaluated using CFA, followed by testing the structural model. The dataset provided here allows researchers to reproduce the statistical analyses and replicate the mediation model examining the relationships between advisor relationship quality, academic stress, and burnout among graduate students.

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Social Sciences, Psychology, Education, Higher Education

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