Jurnal Sosial dan Teknologi (SOSTECH)
Volume 1, Number 12, December 2021
p-ISSN 2774-5147 ; e-ISSN 2774-5155
How to cite:
Boy Piter Nizu Kekri
1
, Saraswati Shinta Komang
2
, Helius Yare
3
and Daniel Duwiri
4
. (2021). Economic Student
Scientific Publication Model Exploration Factor Analysis (EFA) Approach. Jurnal Sosial dan Teknologi
(SOSTECH), 1(12): 1.580-1.587
E-ISSN:
2774-5155
Published by:
https://greenpublisher.id/
ECONOMIC STUDENT SCIENTIFIC PUBLICATION MODEL EXPLORATION
FACTOR ANALYSIS (EFA) APPROACH
Boy Piter Nizu Kekri
1
, Saraswati Shinta Komang
2
, Helius Yare
3
and Daniel
Duwiri
4
Economics, Development Economics Study Program, Cenderawasih University Jayapura,
Indonesia
1
, Accounting, Accounting Study Program, Cenderawasih Jayapura University,
Indonesia
2
, Management, Management Study Program, Cenderawasih University Jayapura,
Indonesia
3
, Economics, Development Economics Study Program, Cenderawasih University
Jayapura, Indonesia
4
1
, saraswatishintakomang17@gmail.com
2
,
3
and daniel.d[email protected]
4
Abstract
Background: Our research reveals factor measures, which are generated to encourage
economics students to engage in scientific publication and research processes.
Research purposes: Availability of motivational models for scientific publications, as a form of
developing economics students in the future.
Research methods: Estimation using Exploratory Factor Analysis (EFA) approach, with
statistical tools Jeffreys's Amazing Statistics Program (JASP) version 0.16.0.0.
Research results: This study shows the accuracy of the model, including the calculated value of
McDonald's and Cronbach's > 0.700, for the MSA value of 0.762, and the value of Bartlett's test
< .001. For the correlation relationship, it is strengthened by the RMSEA number which is
between 0.05-0.08. This study forms a 3 factor model for scientific publications of economics
students.
Conclusion: This study estimates the factors that can encourage the scientific publication model
of economics students. Several factors in this research model are in line with the findings of
previous researchers. This study shows that the accuracy of the model includes the McDonald's
and Cronbach's > 0.700, for the MSA value of 0.762, and the Bartlett's test value < .001. For the
correlation relationship, it is strengthened by the RMSEA number which is between 0.05-0.08.
Thus, there are 3 factors in this model, namely the role of lecturers and families, students' basic
abilities, and academic achievement goals. We realize that there are several theoretical
challenges and measurement models, therefore further research is carried out using statistical
test instruments and tools such as AMOS, PLS, and LISREL.
Keywords: Exploratory Factor Analysis (EFA), JASP, Scientific Publications
Abstrak
Latar belakang: Penelitian kami mengungkapkan pengukuran faktor, yang dihasilkan untuk
mendorong mahasiswa ekonomi terlibat dalam proses penelitian dan publikasi imiah.
Tujuan penelitian: Tersedianya model motivasi publikasi ilmiah, sebagai bentuk pengembangan
mahasiswa ekonomi dimasa yang akan datang.
Metode penelitian: Estimasi menggunakan pendekatan Exploratory Factor Analysis (EFA),
dengan alat bantu statistik Jeffreys's Amazing Statistics Program (JASP) versi 0.16.0.0.
Hasil penelitian: Studi ini menunjukkan nilai keakuratan model antara lain nilai hiung
McDonald's ω dan Cronbach's α > 0,700, untuk perolehan nilai MSA sebesar 0.762, dan nilai
Bartlett's test < .001. Untuk hubungan korelasi, diperkuat dengan angka RMSEA yang berada
diantara 0,05-0,08. Studi ini membentuk 3 faktor model publikasi ilmiah mahasiswa ekonomi.
Kesimpulan: Penelitian ini mengestimasi faktor yang mampu mendorong model publikasi ilmiah
mahasiswa ekonomi. Beberapa faktor dalam model penelitian ini sejalan dengan temuan peneliti
sebelumnya. Studi ini menunjukkan nilai keakuratan model antara lain nilai hiung McDonald's ω
dan Cronbach's α > 0,700, untuk perolehan nilai MSA sebesar 0.762, dan nilai Bartlett's test <
.001. Untuk hubungan korelasi, diperkuat dengan angka RMSEA yang berada diantara 0,05-0,08.
Sehingga, terdapat 3 faktor dalam model ini yaitu peranan dosen dan keluarga, kemampuan dasar
mahasiswa, dan tujuan prestasi akademik. Kami menyadari, terdapat beberapa tantangan teoritis
Economic Student Scientific Publication Model
Exploration Factor Analysis (EFA) Approach
Boy Piter Nizu Kekri
1
, Saraswati Shinta Komang
2
, Helius Yare
3
and Daniel
Duwiri
4
1.581
dan model pengukuran, oleh karena itu penelitian lebih lanjut dalam menggunakan instrumen dan
alat uji statistik seperti AMOS, PLS, dan LISREL.
Kata kunci: Exploratory Factor Analysis (EFA), JASP, Publikasi Ilmiah
Diterima: 26-11-2021; Direvisi: 29-11-2021; Disetujui: 15-12-2021
INTRODUCTION
All universities in Indonesia are competing to strengthen the personal quality of
lecturers and students (Meo & Pramitharesthi, 2021). The situation of scientific
publications in the Faculty of Economics and Business at Cenderawasih University is
quite good for the lecturer category, in contrast to the case with students (Amalia & von
Korflesch, 2021). In fact, students have a great opportunity, to contribute to improving
the quality of scientific publications for higher education institutions (Stinson, 2021).
This condition underlies our collective obligation, to map what challenges are currently
happening to students (Scardamalia & Bereiter, 2021), so that they have not optimally
participated in scientific publications. It is realized that this research is the first, carried
out independently and in collaboration between lecturers and students in three majors
(accounting, management, and economics) (Junevicius et al., 2021). It should be realized
that this challenge does not only occur in the faculty of economics (Coyne et al., 2021)
and business at the Cenderawasih University, findings (Sonny and Zulidyana, 2021), that
the lack of participation in scientific publications, is driven by a lack of adjustment
(Odame et al., 2021), when welcoming changes to regulations on scientific publications.
facing the challenges of scientific publications for students, limited research support
facilities (Stinson, 2021), students lack confidence to be involved in scientific
publications (Asimidou et al., 2021).
Scientific research is the power of the academic world, as a strategy to find the
truth for the prosperity of society (Micewski, 2021). Meanwhile, scientific publications
are a form of disseminating academic wealth. Students are an opportunity for higher
education to be able to maximize the dissemination of scientific truth. For this reason, it is
necessary to improve the quality of knowledge, students of the Faculty of Economics and
Business at Cenderawasih University in the future. This is a knowledge investment for
students, a form of the current higher education learning scheme. In addition, it is also
able to improve the quality of higher education institutions, where according to the
performance indicators, students are expected to have the opportunity to carry out
learning outside the classroom. Good practices that have been carried out by several
universities, in order to strengthen knowledge of research and scientific publications,
(Darmalaksana, 2021) through training in writing scientific articles, are able to encourage
student motivation and enthusiasm, it is hoped that this learning will encourage research
based on scientific publications. The Writing Sprints learning scheme through Outcome
Based Education, succeeded in having student outcomes that have published scientific
research results. Referring to the actual conditions regarding barriers to student scientific
publications, and also considering changes in the current learning scheme. So the
formulation of the problem in the research is how to measure the motivational factor
model for student scientific publications, while the general goal of this research is the
existence of a publication motivation model, which can be improved for students in the
future.
Considering the description above, this research has several conceptual frameworks
that underlie the research on the motivational model of student scientific publications.
Motivation Theory, motivation is interpreted as the strength of a person/individual, to
perform a certain behavior. Extrinsic motivation can arise in a person due to stimulation
Vol. 1, No. 12, pp. 1.580-1.587, December 2021
1.582 http://sostech.greenvest.co.id
from outside himself. A person needs an interaction (basic motivations) to be able to
achieve the ideals needs (need). Achievement motivation can make a person positive, this
is indicated by an open attitude to criticism/advice, mentoring, coaching from others.
Self-confidence theory, is an internal ability of the individual, the main thing is to see the
position of others and not compare with himself, this is called a positive ability that is
embedded in him. Believe in yourself, be independent, and dare to make decisions. Self-
actualization, self-understanding is born from an attitude of confidence. Lack of self-
confidence will have an impact on the weak development of self-potential. Interest
theory, there is a person's tendency to focus attention or interest in the focus of a
particular field. A certain situation of a person, and consciously an object is seen as
having a role for him. Theory of Knowledge, through the process of habituation of the
analysis of scientific articles, is able to improve the ability of students' scientific thinking
processes, scientific articles are science that has been proven true through the scientific
method. The view of positivism, requires humans to try to find symptoms or a series of
relationships between these symptoms, so that they can be used in predicting what will
happen in the future. Exploratory method of data and information in this research called
the Exploratory Factor Analysis (EFA) approach (Larasati & Handayeni, 2021). While
Confirmatory Factor Analysis (CFA) for the process of testing variables and indicators
that have been determined based on the theoretical framework of the researcher
(Purwanto & Sudargini, 2021).
RESEARCH METHODS
This research has a locus at the Faculty of Economics and Business, Cenderawasih
University, Jayapura. Referring to the purpose of this research, this analytical approach
applies quantitative concepts, the research focus is building theories from scientific fact
information obtained (Eva Dwi Jayanti, 2021). The research data source is primary,
where this study applies a questionnaire or questionnaire as a data collection vessel (Putri
& Putra, 2021). The method of collecting data here is through the process of distributing
questionnaires, through google forms to students of three majors (accounting,
management, and economics) as many as 144 respondents. In this study there are 24
factors, as factor loadings which indicate a relationship between factor items and
dimensions. The data analysis method applied is Exploratory Factor Analysis (CFA), the
process of estimating each indicator in each dimension using the statistical tool Jeffreys's
Amazing Statistics Program (JASP) version 0.16.0.0.
RESULT AND DISCUSSION
To test the reliability of a scientific publication model, one indicator that has the
ability to show this is Cronbach's . It is known that the higher the Cronbach's arithmetic
value, the higher the accuracy of a research instrument. In table 1 below, the results of
Cronbach's test are 0.820, which is higher than the standard 0.700. This study also
assesses the accuracy of the instrument through the value of McDonald's , it is realized
that Cronbach's has measurement accuracy, at the level of a unidimensional scale. The
results of the measurement of the McDonald's total item research score of 0.834. With a
measuring value greater than 0.700, it can be indicated that this research instrument is
proportionately able to explain the measuring construct.
Table 1. Frequentist Scale Reliability Statistics.
Estimate
McDonald's ω
Cronbach's α
Point estimate
0.834
0.820
Economic Student Scientific Publication Model
Exploration Factor Analysis (EFA) Approach
Boy Piter Nizu Kekri
1
, Saraswati Shinta Komang
2
, Helius Yare
3
and Daniel
Duwiri
4
1.581
Estimate
McDonald's ω
Cronbach's α
90% CI lower bound
0.801
0.784
90% CI upper bound
0.867
0.851
Source: Processed data, JASP application output, 2021.
The results of the McDonald's and Cronbach's tests in table 2 below, provide
information on the measurement accuracy of each research indicator. It is clear that 24
indicators have a calculated value of McDonald's and Cronbach's above 0.700. There are
only 2 indicators that are relatively small, but are still at the tolerance level, namely:
Interest Indicator 3 and Scientific Research 2. Based on the facts above, the instrument of
scientific publication model for economics students can be continued to be analyzed
using the CFA approach.
Tabel 2. Frequentist Scale Reliability Statistics.
Item
If item dropped
Item-rest
correlation
McDonald's ω
Cronbach's α
Motivation 1
0.840
0.825
0.073
Motivation 2
0.838
0.822
0.123
Motivation 3
0.841
0.827
0.111
Motivation 4
0.834
0.821
0.118
Motivation 5
0.834
0.820
0.159
Confident 1
0.821
0.805
0.516
Confident 2
0.829
0.814
0.343
Confident 3
0.822
0.806
0.492
Confident 4
0.837
0.821
0.179
Confident 5
0.830
0.814
0.332
Interest 1
0.827
0.811
0.404
Interest 2
0.817
0.802
0.597
Interest 3
0.814
0.799
0.619
Interest 4
0.820
0.806
0.508
Scientific Research 1
0.816
0.801
0.596
Scientific Research 2
0.811
0.798
0.645
Scientific Research 3
0.828
0.812
0.382
Scientific Research 4
0.818
0.803
0.560
Economic Issue 1
0.830
0.814
0.335
Economic Issue 2
0.833
0.819
0.209
Economic Issues 3
0.828
0.812
0.391
Economic Issue 4
0.831
0.815
0.309
5 Economic Issues
0.836
0.821
0.183
Source: Processed data, JASP application output, 2021.
Table 3. Kaiser-Meyer-Olkin test.
MSA
Overall MSA
0.762
Source: Processed data, JASP application output, 2021.
Table 3 above, provides information about the ability of each research indicator,
relevant for use in Exploratory Factor Analysis (CFA) analysis. Rizq T.B Razendrya
1.583
Vol. 1, No. 12, pp. 1.580-1.587, December 2021
1.584 http://sostech.greenvest.co.id
(2021) in his research, said that the standard MSA value was 0.50. The results of
the Measure of Sampling Adequacy (MSA) test are 0.762, so that the total indicator items
have met the MSA standard and are feasible for factor calculations.
Tabel 4. Bartlett's test.
Χ²
df
p
819.849
253.000
< .001
Source: Processed data, JASP application output, 2021.
Bartlett's Test in principle provides an overview of the multi-variable
interdependence of research, which is reflected through factor indicators. In table 4
above, it shows the arithmetic value of the Bartlett's test assumption test, the ideal
indicator is to have a correlation relationship. The calculated probability value is shown at
< .001, this indicates that the assumption of factor testing can be continued.
Table 5. Additional fit indices.
RMSEA
RMSEA 90%
0.065
0.057
Source: Processed data, JASP application output, 2021.
Table 5 shows the Root Mean Square Error of Approximation (RMSEA). With a total of 24
indicators and a research sample of 144 respondents, the smaller the RMSEA, the better. In this
study, the RMSEA value was 0.065 and the 90% probability RMSEA value was 0.057. The results
of these two calculated values are between the goodness-of-fit values of 0.05 and 0.08. So it is
relevant to be used in Exploratory Factor Analysis (CFA) analysis.
Table 6. Factor Loadings.
Factor 1
Factor 2
Factor 3
Uniqueness
Interest 3
0.685
0.496
Scientific Research 2
0.665
0.494
Scientific Research 1
0.649
0.521
Scientific Research 4
0.595
0.318
0.533
Interest 2
0.592
0.303
0.556
Confident 3
0.576
0.622
Interest 4
0.572
0.616
Confident 2
0.520
0.705
Confident 1
0.499
0.669
Interest 1
0.498
0.736
Economic Issues 3
0.347
0.816
Scientific Research 3
0.322
0.807
Confident 5
0.502
0.724
Economic Issue 1
0.463
0.709
Economic Issue 2
0.453
0.779
Confident 4
0.340
0.879
Motivation 5
0.316
0.897
5 Economic Issues
0.304
0.903
Economic Issue 4
0.304
0.843
Economic Student Scientific Publication Model
Exploration Factor Analysis (EFA) Approach
Boy Piter Nizu Kekri
1
, Saraswati Shinta Komang
2
, Helius Yare
3
and Daniel
Duwiri
4
1.585
Note: Applied rotation method is varimax. Source: Processed data, JASP application
output, 2021.
Table 6 above provides information based on the estimation results, each indicator
through the Exploratory Factor Analysis (CFA) approach. The results of this study
provide 3 factors forming student scientific publications, namely: (1) Factor 1 = 12
indicators, (2) Factor 2 = 7 indicators, while (3) Factor 3 = 2 indicators.
There are several indicators such as Motivation 3 and Motivation 4, which are not
forming indicators, because they have a loading factor count value < 0.300.
Picture 1. Path Diagram
Source: Processed data, JASP application output, 2021.
Factor 1, to understand the value of factor loadings can be seen in table 6. For
information in Figure 1 the path diagram of this research model, the thicker the indicator
line, the stronger the relationship between the factors and the forming indicators. Through
the formulation of the path diagram relationship, factor 1 is labeled the role of the lecturer
and family. The role of lecturers has a very strong impact, for economic students to be
involved in research and also able to publish in national and international journals. In
addition, the role of the family is very important to shape the character of economics
students, who are able to compete in the scope of research and scientific publications
(Kekry, 2021).
Factor 2, according to Figure 1 above, relates to the path diagram of the economics
student scientific publication model. There are 7 indicators that provide the magnitude of
the relationship, which has been marked by the value of factor loadings. Factor 2 is
labeled with the basic ability of students, students have academic abilities regarding
research and publications, but this ability is not maximized given the actualization space.
This factor is very important, in conducting research and scientific publications related to
economic issues. So students need to be equipped with comprehensive knowledge.
Theoretical and factual issues regarding the economy at the local, national, and
international levels, need to be given continuously both during the classroom learning
process or outside the learning process (Kekry & Fahmi, 2021).
Motivation 2
0.773
0.369
Motivation 1
0.488
0.751
Motivation 3
0.979
Motivation 4
0.972
Vol. 1, No. 12, pp. 1.580-1.587, December 2021
1.586 http://sostech.greenvest.co.id
Factor 3, based on Figure 1 of the path diagram above, factor 3 has 2 indicators,
namely regarding awards for academic achievement and satisfaction for students. Factor
3 is labeled the goal of academic achievement, this condition will have an impact on
academic achievement, not limited to the value of the learning process. However, it is
more about the goals that students aspire to, building students' perceptions of student
participation in writing scientific articles and publications. It is part of the self-
development process for students, lecturers, and higher education organizations
(Tursynay et al., 2021).
CONCLUSION
This study estimates the factors that can encourage the scientific publication model
of economics students. Several factors in this research model are in line with the findings
of previous researchers. This study shows that the accuracy of the model includes the
McDonald's and Cronbach's > 0.700, for the MSA value of 0.762, and the Bartlett's test
value < .001. For the correlation relationship, it is strengthened by the RMSEA number
which is between 0.05-0.08. Thus, there are 3 factors in this model, namely the role of
lecturers and families, students' basic abilities, and academic achievement goals. We
realize that there are several theoretical challenges and measurement models, therefore
further research is carried out using statistical test instruments and tools such as AMOS
and LISREL.
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