Skip to content

Impostor phenomenon, coping strategies and academic attainment among university students in Tabuk, Saudi Arabia: a cross-sectional study

Oct 2026 · Saudi Journal of Public Health · 0 citations
Perfectionism, Procrastination, Anxiety Studies

Abstract

Background: The impostor phenomenon (IP), the internal experience of intellectual phoniness despite objective competence, is poorly understood in Arabic-speaking populations, particularly its interplay with coping and attainment. This study estimated IP prevalence, characterized coping, and modeled cumulative grade point average (GPA) as an ordered outcome. Methods: A single-center cross-sectional survey recruited 406 students in diploma, bachelor's, and master's programs at the University of Tabuk, Saudi Arabia, by open invitation to the institutional mailing list, January to June 2026, a convenience sample. Respondents completed the Arabic Clance Impostor Phenomenon Scale (CIPS) and the Brief COPE. Analysis used rank-based tests, Benjamini-Hochberg correction, and proportional-odds regression. Results: The CIPS total averaged 59.37 (standard deviation [SD] 9.37); 175 (43.1%, 95% confidence interval [CI] 38.4 to 48.0) met the criterion of 62, a threshold imported from English-language work and uncalibrated in Arabic. Prevalence did not differ by gender, age, level, or year; married students scored higher (P = .015). Religion was most endorsed; coping associations with IP were small, none exceeding .22. Scores declined as attainment rose, from 63.16 in the pass band to 57.49 in the excellent band (z = -3.407, P < .001). Each SD of IP carried lower adjusted odds of a higher GPA band (odds ratio 0.719, 95% CI 0.590 to 0.877); coping did not improve fit. Conclusions: More than two in five respondents met the criterion, and IP was inversely graded across attainment; directing support at high achievers alone would overlook those reporting it most often. Longitudinal work is needed to establish direction.

View source

Similar papers

#small language model Dataset Open access Oct 2026

Socratic guiding questions in synthetic arithmetic data: matched LoRA runs (revision v2)

Supporting data, adapters, predictions and code for the article *Low-Cost LoRA Fine-Tuning of Small Language Models for Multi-Step Arithmetic Reasoning* by Jake O'Grady, Asena Isik Gürhan, Chee Fong Ting and Effirul Ramlan (University of Galway). We generated 20,000 GSM8K-derived arithmetic problems with step-by-step s...

O'Grady, Jake, Gürhan, Asena Isik, Chee, Fong Ting et al. · 465 citations
#computer vision Open access Jun 2016

Software Development in Startup Companies: The Greenfield Startup Model

The results are packaged in the Greenfield Startup Model (GSM), which explains the priority of startups to release the product as quickly as possible, and the need to shorten time-to-market, by speeding up the development through low-precision engineering activities.

Carmine Giardino, Nicolò Paternoster, M. Unterkalmsteiner et al. · 178 citations · ⚡14
#computer vision Open access Oct 2016

Software Startups - A Research Agenda

Software startup companies develop innovative, software-intensive products within limited timeframes and with few resources, searching for sustainable and scalable business models.

M. Unterkalmsteiner, P. Abrahamsson, Xiaofeng Wang et al. · 157 citations · ⚡17
#machine learning Review Open access Oct 2016

“Failures” to be celebrated: an analysis of major pivots of software startups

This study conducts a case survey study based on the secondary data of the major pivots happened in 49 software startups, and demonstrates that customer need pivot is the most common among all pivot types.

Sohaib Shahid Bajwa, Xiaofeng Wang, Anh Nguyen-Duc et al. · 127 citations · ⚡15
#computer vision Review Open access May 2015

A survey study on major technical barriers affecting the decision to adopt cloud services

The comparison of adopter and non-adopter sample reveals three potential adoption inhibitor, security, data privacy, and portability, which underlines the importance of the technical and security perspectives for research investigating the adoption of technology.

Nattakarn Phaphoom, Xiaofeng Wang, S. Samuel et al. · 111 citations · ⚡8
#computer vision Open access Feb 2018

Lean Internal Startups for Software Product Innovation in Large Companies: Enablers and Inhibitors

This study investigates how Lean internal startup facilitates software product innovation in large companies and identifies its enablers and inhibitors, and shows the potential of the method-in-action framework to investigate the Lean startup approach in non-startup context.

Henry Edison, Nina M. Smørsgård, Xiaofeng Wang et al. · 78 citations · ⚡6

Related blog posts

MIT News · Artificial Intelligence Oct 15, 2026

AI model decodes the language cells use to communicate

A new computational approach reveals how cells communicate to assemble into tissues. This could accelerate stem cell engineering, improve disease models, and inform therapies.

Microsoft Research Blog Oct 15, 2026

Proof-based general-purpose computing with Magnetar

Zero-knowledge proofs can verify computing results without rerunning workloads or exposing sensitive data. Magnetar helps bring them into the mainstream with support for standard programming languages, major speed gains, and quantum-resistant security. The post Proof-based general-purpose computing with Magnetar appeared first on Microsoft Research.

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.