Evidence map›Paper›PMID 30246078›Full record

ArticleData in brief2018

Learning analytics: Data sets on the academic record of accounting students in a Nigerian University.

Folashade O Owolabi, Pelumi E Oguntunde, Dorcas T Adetula, Samuel A Fakile

Abstract read
In one paragraph

Article in Data in brief, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. 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

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Folashade O OwolabiDepartment of Accounting, Covenant University, Ota, Nigeria.
Pelumi E OguntundeDepartment of Mathematics, Covenant University, Ota, Nigeria.
Dorcas T AdetulaDepartment of Accounting, Covenant University, Ota, Nigeria.
Samuel A FakileDepartment of Accounting, Covenant University, Ota, Nigeria.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This paper presents data on the academic performance of a particular set of accounting students from the year of inception into a Nigerian university to the year of graduation. Descriptive analysis was performed on the dataset and a regression model which is capable of making predictions was fitted to the dataset. From the dataset, 24 out of the students who started with a first class result (CGPA above 4.50) still maintained a first class result at graduation. 4 out of the students who started with a first class result dropped to second class upper division before graduation. 4 out of the students who started with a second class upper division result moved to first class result before graduation. 28 out of 35 students who started with a second class upper division maintained a second class upper division result at graduation.

Indexed as

100 level result: First year resultAcademic performanceAccountantsCGPA: Cumulative Grade Point AverageExploratory data analysisFinal CGPA: CGPA at graduationFirst Class: CGPA between 4.50 and 5.0GPA: Grade Point AverageNigeriaSecond Class Upper Division: CGPA between 3.50 and 4.49University

Identifiers

PMID30246078
PMCPMC6141959

What OpenQuestion holds

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LicenceCC BY
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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.