Quantitative analysis of the factors that influence approval rates in subjects of undergraduate course at a public Education institution in southern Brazil

Anjos, Fernando Elemar Vicente dos; Notarjacomo, Márcia Helena Borges; Silva, Debora Oliveira da; Dullius, Rodrigo

doi:10.1590/S0104-40362023003103898

Fernando Elemar Vicente dos Anjos

conceptualization

formal analysis

writing original manuscript and writing review e editing

Instituto Federal de Educação, Ciência e Tecnologia do Rio Grande do Sul, Caxias do Sul, RS, Brasil.

http://orcid.org/0000-0002-9096-2806

Márcia Helena Borges Notarjacomo

conceptualization

formal analysis

writing original manuscript and writing review e editing

Universidade do Vale do Rio dos Sinos, São Leopoldo, RS, Brasil.

http://orcid.org/0000-0001-7449-2595

Debora Oliveira da Silva

conceptualization

formal analysis

writing original manuscript and writing review e editing

Universidade do Vale do Rio dos Sinos, São Leopoldo, RS, Brasil.

http://orcid.org/0000-0001-7023-4927

Rodrigo Dullius

conceptualization

formal analysis

writing original manuscript and writing review e editing

Instituto Federal de Educação, Ciência e Tecnologia do Rio Grande do Sul, Caxias do Sul, RS, Brasil.

http://orcid.org/0000-0002-4865-8798

Information about the authors

Fernando Elemar Vicente dos Anjos: Doctor in Production Engineering at stricto sensu Program of Production Engineering and Systems at Universidade do Vale do Rio dos Sinos and Professor at Instituto Federal do Rio Grande do Sul, campus Caxias do Sul. Contact: fernando.anjos@caxias.ifrs.edu.br

Márcia Helena Borges Notarjacomo: Doctorate student in Production Engineering at stricto sensu Program of Production Engineering and Systems at Universidade do Vale do Rio dos Sinos and Professor at Universidade Estadual do Mato Grosso do Sul. Contact: notarjacomo@hotmail.com

Debora Oliveira da Silva: Doctor in Production Engineering at stricto sensu Program of Production Engineering at Universidade de São Paulo and Professor at Universidade do Vale do Rio dos Sinos. Contact: deboraoliveira@unisinos.br

Rodrigo Dullius: Doctor in Education at stricto sensu Program of Educação at Universidade do Vale do Rio dos Sinos and Professor at Instituto Federal do Rio Grande do Sul, campus Caxias do Sul. Contact: rodrigo.dullius@caxias.ifrs.edu.br

Conflict of interest: We declare we have no conflict of interest of any kind in the preparation of the manuscript.

Issue	Hypotheses
1	H₀ = Student attendance rates in the classroom do not influence student approval rates H₁ = Student attendance rates in the classroom influence student approval rates
2	H₀ = The faculty members do not influence the grades obtained by the students H₁ = The faculty members influence the grades obtained by the students
3	H₀ = The age of the students does not influence the approval rate H₁ = The age of students influences the approval rate
4	H₀ = There is no relationship between the professor’s degree and the approval rate H₁ = There is a relationship between the professor’s degree and the approval rate
5	H₀ = There is no relationship between the faculty members being licensed and the approval rate H₁ = There is a relationship between the faculty members being licensed and the approval rate
6	H₀ = There is no relationship between the effective faculty members and the approval rate H₁ = There is a relationship between the effective faculty member’s and the approval rate
7	H₀ = There is no association between the age group and the approval rate H₁ = There is an association between the age group and the approval rate
8	H₀ = There is no association between the subjects and the approval rate H₁ = There is an association between the subjects and the approval index
9	H₀ = There is no association between frequency in the classroom bands and approval rates H₁ = There is an association between frequency in the classroom bands and approval rates

Characteristics	Category	Sample
Gender	Male	33 students
Gender	Female	30 students
Average ages	Male	31.97 years old
Average ages	Female	32.46 years old
Age range	From 20 to 25 years old	12 students
	From 26 to 30 years old	21 students
	From 31 to 35 years old	10 students
	From 35 to 40 years old	10 students
	From 41 to 45 years old	4 students
	> 45 years old	6 students

Frequency range (%)	Sample
94–100	579
87–93	240
81–86	207
75–81	200
< 75	146

Statistics t	Degrees of freedom	P-value	Mean Difference
30,796000	63,406000	0,003063	4,212450

	Df Sum	SqMean	Sq F	Value	Pr(>F)
Base_anova$Docente	27	588	27.763	3.143	1.41e^-07***
Residuals	1344	9334	6.945	-	-

Statistics t	Degrees of freedom	P-value	Mean Difference
2,738600	67,929000	0,007872	3,002870

Age Range	Approved subjects index	No approved subjects index	Approval ratings (%)
40–45	100	2	98
> 45	128	15	90
35–40	180	27	87
30–35	192	32	86
20–25	219	40	85
25–30	352	85	81

Statistics X²	Degrees of freedom	P-value
1,95330	2,00000	0,37660

Statistics X²	Degrees of freedom	P-value
0,85216	1,00000	0,3559

Statistics X²	Degrees of freedom	P-value
3,2744	1,00000	0,0737

Age Range	Status	Support	Confidence	Lift	Count
40–45	Approved	0,0853971	0,990099	1,0425	100
35–40	Approved	0,15371477	0,9836066	1,0356	180
> 45	Approved	0,10930828	0,969697	1,021	128
30–35	Approved	0,16396243	0,9648241	1,0159	192
20–25	Approved	0,18701964	0,9439655	0,9939	219
25–30	Approved	0,30059778	0,9142857	0,9626	352

Subject	Support	Confidence	Lift	Count
Entrepreneurship and innovation II	0,0179	1,0000	1,0529	21
Quality management	0,0444	1,0000	1,0529	52
Knowledge and skills management	0,0179	1,0000	1,0529	21
Libras	0,0367	1,0000	1,0529	43
Sales and negotiation workshop	0,0350	1,0000	1,0529	41
People management II	0,0453	0,9824	1,0344	53
Introduction to marketing	0,0478	0,9824	1,0344	56
Instrumental english	0,0401	0,9791	1,0310	47
Entrepreneurship and innovation I	0,0384	0,9782	1,0300	45
Supply chain and logistics management	0,0196	0,9777	1,0295	23
Applied computer science I	0,0376	0,9777	1,0295	44
Applied computer science II	0,0325	0,9743	1,0259	38
Fundamentals of administration	0,0436	0,9622	1,0132	51
Financial math	0,0436	0,9622	1,0132	51
People management I	0,0427	0,9615	1,0124	50
Strategic management and planning	0,0196	0,9583	1,0094	23
Ethics and social practices	0,0350	0,9534	1,0039	41
Continue
Continuation
General and management accounting	0,0444	0,9454	0,9955	52
Financial management	0,0427	0,9433	0,9933	50
Production systems	0,0401	0,9400	0,9897	47
Ergonomics and safety at work	0,0350	0,9318	0,9811	41
Environmental management	0,0333	0,9285	0,9777	39
Costs management	0,0333	0,9285	0,9777	39
Process analysis	0,0205	0,9230	0,9719	24
Project management	0,0205	0,9230	0,9719	24
Reading and production of academic texts	0,0359	0,9130	0,9613	42
Research methodology	0,0342	0,8888	0,9359	40
Economic scenarios and the business world	0,0325	0,8636	0,9093	38
Planning and production control	0,0299	0,8139	0,8570	35

Attendance range	Status	Support	Confidence	Lift	Count
87–93	Approved	0,19897523	0,9708	1,0222	233
94–100	Approved	0,47566183	0,962	1,0129	557
81–86	Approved	0,16396243	0,96	1,0108	192
75–81	Approved	0,16140051	0,913	0,9613	189

[1] Information about the authors

Fernando Elemar Vicente dos Anjos: Doctor in Production Engineering at stricto sensu Program of Production Engineering and Systems at Universidade do Vale do Rio dos Sinos and Professor at Instituto Federal do Rio Grande do Sul, campus Caxias do Sul. Contact: fernando.anjos@caxias.ifrs.edu.br

Márcia Helena Borges Notarjacomo: Doctorate student in Production Engineering at stricto sensu Program of Production Engineering and Systems at Universidade do Vale do Rio dos Sinos and Professor at Universidade Estadual do Mato Grosso do Sul. Contact: notarjacomo@hotmail.com

Debora Oliveira da Silva: Doctor in Production Engineering at stricto sensu Program of Production Engineering at Universidade de São Paulo and Professor at Universidade do Vale do Rio dos Sinos. Contact: deboraoliveira@unisinos.br

Rodrigo Dullius: Doctor in Education at stricto sensu Program of Educação at Universidade do Vale do Rio dos Sinos and Professor at Instituto Federal do Rio Grande do Sul, campus Caxias do Sul. Contact: rodrigo.dullius@caxias.ifrs.edu.br

Brasil

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Quantitative analysis of the factors that influence approval rates in subjects of undergraduate course at a public Education institution in southern Brazil

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Abstract