Examination of the Turkish Doctoral Programs in Social Sciences and Humanities Through a Process Evaluation Model

This study aims to investigate Turkish doctoral programs in social sciences and humanities using a process evaluation model within a mixed methods research design. A convergent mixed methods approach was employed to gather both quantitative and qualitative data. Initially, the quantitative statistical results are presented, followed by a discussion of the qualitative findings, utilizing a side-by-side comparison approach. The survey, developed by the researchers, was administered to 310 academics to gather their assessments of doctoral programs, considering variables such as graduation year from the Ph.D. program, academic title, field of study, and university type. The t-test and ANOVA results revealed no significant differentiation among academics with respect to these variables. Conversely, content analysis was applied to examine qualitative data obtained from 10 academics through the MAXQDA qualitative data analysis program. Six themes identified through content analysis indicated that nearly all participants perceived structural issues in doctoral programs, explaining the lack of significant differentiation in the quantitative findings. Based on these findings, implications are suggested for researchers, academics, and decision-makers to address this issue.

Authors

Institutions

Publication Details

Journal
Journal of Higher Education and Science
Published
2024-08-30
DOI
https://doi.org/10.5961/higheredusci.1370432
Primary Topic
Higher Education and Employability
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Examination of the Turkish Doctoral Programs in Social Sciences and Humanities Through a Process Evaluation Model

Ömer Açıkgöz, Aydın Aslan, Aslı Günay
Journal of Higher Education and Science
Higher Education and Employability
article

Examination of the Turkish Doctoral Programs in Social Sciences and Humanities Through a Process Evaluation Model

Ömer Açıkgöz, Aydın Aslan, Aslı Günay
article en

Abstract

This study aims to investigate Turkish doctoral programs in social sciences and humanities using a process evaluation model within a mixed methods research design. A convergent mixed methods approach was employed to gather both quantitative and qualitative data. Initially, the quantitative statistical results are presented, followed by a discussion of the qualitative findings, utilizing a side-by-side comparison approach. The survey, developed by the researchers, was administered to 310 academics to gather their assessments of doctoral programs, considering variables such as graduation year from the Ph.D. program, academic title, field of study, and university type. The t-test and ANOVA results revealed no significant differentiation among academics with respect to these variables. Conversely, content analysis was applied to examine qualitative data obtained from 10 academics through the MAXQDA qualitative data analysis program. Six themes identified through content analysis indicated that nearly all participants perceived structural issues in doctoral programs, explaining the lack of significant differentiation in the quantitative findings. Based on these findings, implications are suggested for researchers, academics, and decision-makers to address this issue.

Journal of Higher Education and ScienceVol. 14(2)
Ankara Sosyal Bilimler Üniversitesi (TR)
Quality Education
Openalex Percentile: Top 80%
Higher Education and Employability
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.