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The Frontiers of Society, Science and Technology, 2024, 6(1); doi: 10.25236/FSST.2024.060107.

Analysis of Influencing Factors of Postgraduate Dissertation Quality Based on Interpretative Structural Modeling

Author(s)

Xiaozhe Liu, Huali Hu, Anqi Li

Corresponding Author:
Xiaozhe Liu
Affiliation(s)

School of Management, Xi'an Polytechnic University, Shaanxi, Xi'an, 710600, China

Abstract

Dissertation quality is one of the most important indicators of the quality of postgraduate education. Cultivating and improving dissertation quality involves all aspects of the postgraduate education system and constitutes a complex systematic project. Based on literature research and expert consultation, the relevant factors affecting the quality of doctoral dissertations are sorted out and summarized. An explanatory structural model reflecting the interrelationships among these factors is constructed. The direct, secondary, deep-level, and fundamental influences of postgraduate dissertation quality are identified. Based on the results of the above analyses, strategies to improve the quality of doctoral dissertations are discussed from three aspects: improving the quality of postgraduate student sources, strictly controlling the "first gate" of supervisors, and increasing the investment of postgraduate cultivation funds, to provide references for the further improvement of the quality of postgraduate education.

Keywords

dissertation quality; influencing factors; interpretive structural modeling

Cite This Paper

Xiaozhe Liu, Huali Hu, Anqi Li. Analysis of Influencing Factors of Postgraduate Dissertation Quality Based on Interpretative Structural Modeling. The Frontiers of Society, Science and Technology (2024) Vol. 6, Issue 1: 37-44. https://doi.org/10.25236/FSST.2024.060107.

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