Evidence map›Paper›PMID 38034757›Full record

ArticleHeliyon2023

Comparative Analysis of Female Leadership Styles in Public and Private Sector Universities: A Study in Pakistan.

Uzma Sarwar, Rameez Tariq, Muhammad Aamir, Yurong Guan

RetractedAbstract readRetracted Publication
In one paragraph

Article in Heliyon, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It has been retracted, and should not be counted. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Uzma SarwarSchool of Education, Huanggang Normal University, Huanggang, 438000 PR China.
Rameez TariqDepartment of Management Sciences, COMSATS University, Islamabad, Park Road, Tarlai Kalan Islamabad 45550, Pakistan.
Muhammad AamirCollege of Computer Sciences, Huanggang Normal University, Huanggang, 438000 PR China.
Yurong GuanCollege of Computer Sciences, Huanggang Normal University, Huanggang, 438000 PR China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study aimed to compare the styles of leadership practices of female leaders in public and private Universities in Pakistan. In this study, both quantitative and qualitative data were collected using a mixed-method approach. An adapted and developed questionnaire was used for quantitative data collection, whereas qualitative data were collected through a semi-structured interview schedule. A sample of 200 female leaders was selected for quantitative data collection, while 10 females from the said sample were selected for qualitative data collection through a simple random method. Quantitative data were analyzed using SPSS, whereas qualitative data were analyzed using thematic analysis. Based on the statistical results, this study discovered statistically significant differences in female transformational and transactional leadership styles and significant differences in job performance based on the university sector. This study discovered statistically insignificant differences based on the different positions of female leaders regarding transformational and transactional leadership, and job performance. Moreover, qualitative data revealed that female leaders clearly understood both leadership styles and how to improve job performance by practicing them. The originality of this study concerns the identification of the differences between leadership styles (transformational and transactional) practiced by female leaders of public and private Universities in Pakistan and explains female leaders' perceptions of the role of leadership styles in their job performance.

Indexed as

Leadership stylePakistanTransactionalTransformational

Identifiers

PMID38034757
PMCPMC10684374

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.