JRSSEM 2023, Vol. 02 No. 8, 1652 1660
E-ISSN: 2807 - 6311, P-ISSN: 2807 - 6494
DOI: 10.36418/jrssem.v2i08.403 https://jrssem.publikasiindonesia.id/index.php/jrssem
SCHOOL ENGAGEMENT MEASURE INSTRUMENT ADAPTATION
Masyitha Nur Ramadhani
1
Urip Purwono
2
1
Magister Profession Faculty of Psychology, Padjadjaran University, Indonesia
2
Faculty of Psychology, Padjadjaran University, Indonesia
*
e-mail: masyitha2100[email protected]pad.ac.id, urippurwono@gmail.com
*Correspondence: masyitha2100[email protected]npad.ac.id
Submitted
: 24
th
February 2023
Revised
: 09
th
Maret 2023
Accepted
: 13
th
Maret 2023
Abstract: School engagement is a multidimensional construct that refers to student involvement in
schools in three dimensions, namely involvement in behavioral, emotional and cognitive aspects.
School Engagement Measure is an instrument to measure student engagement in schools that has
been widely used in various countries. In order to use the instrument in a culturally different way,
an adaptation process is needed so that the adapted instrument is valid and reliable. The purpose
of this study was to obtain a standardized version of the School Engagement Measure in Indonesia.
The International Test Commission Guidelines (2017) were used in the adaptation process. Based
on the results of the CFA analysis using the JASP 0.15.0.0 program, it can be concluded that the
overall School Engagement Measure model with indicators consisting of three dimensions, namely
behavioral engagement, Emotional engagement and cognitive engagement, has a good fit model.
The null hypothesis means that the SEM model is acceptable. This explains that the resulting model
can describe the actual conditions.
Keywords: School Engagement Measure; adaptation.
Masyitha Nur Ramadhani
1
Urip Purwono
2
| 1653
INTRODUCTION
(Fredricks et al., 2004) shed light on the
forms of student involvement in schools. In
this regard, (Fredricks et al., 2004) state that
school engagement is a multidimensional
construct that refers to student
involvement in school in three dimensions,
namely involvement in behavioral,
emotional and cognitive aspects. Behavior
engagement includes positive behavior,
obeying the rules, not doing various
disruptive behaviors at school,
concentrating on following learning, doing
assignments, persevering, giving questions,
focusing on learning, actively participating
in discussions and providing active
participation in school activities. Emotional
engagement involves students' emotions
towards teachers, friends or academic and
school activities. Cognitive engagement
includes the willingness and attention
exerted by students as an effort to
understand learning material or a certain
skill.
All dimensions in School engagement
are believed to affect student achievement
in school. This is supported by various
research results. (Fredricks et al., 2004)
stated that students who were able to be
optimally involved in school showed
positive academic presentation results
while students who were disengaged in
school would actually experience more
dropouts. In addition, (Wonglorsaichon et
al., 2014) in their research also showed a
relationship between the variable School
engagement and student achievement. In
this case it was found that school
engagement of students had a significant
relationship with student learning
achievement. Not only that, (Arlinkasari &
Akmal, 2017) found that academic efficacy
is positively correlated with many studies
on School engagement conducted, ranging
from the relationship between School
engagement and Academic Self, Peer
support, academic achievement, and many
other studies. School engagement itself is a
multidimensional construct that refers to
student involvement in the school. In this
case, the involvement is reflected in three
dimensions, namely behavior, emotional
and cognitive. Mandernach (Christenson et
al., 2012) states that school engagement is
the result of intrinsic motivation or
individual needs that make students have
positive feelings, foster perseverance and
confidence in themselves. In addition,
Jimerson, Campos and Greif (Christenson et
al., 2012) also state that school
engagement includes diverse dimensions,
namely the behavioral, emotional and
cognitive dimensions. (Klimstra, 2013)
states that one of the factors influencing
the process of forming adolescent self-
identity is how much adolescents are able
to find components from various sources to
help shape their identity. Therefore, it is
important for adolescents as a student to
be involved in various activities at school as
a forum that can facilitate the exploration
process carried out. There are several
measuring tools used to measure School
engagement, especially in vulnerable
children to adolescents, namely the School
engagement Measure (SEM), Student
School engagement (SSES), Motivation and
Engagement Scale (MES), 4-H Study for
Positive Youth Development: School
engagement Scale, High School Survey of
Student Engagement (HSSE) and School
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engagement Scale (SES). But these
measuring instruments are still rarely
translated into Indonesian. Because it is still
very rare for these measuring instruments
to be translated into Indonesia, so in
Indonesia itself there is still very little
research on School engagement. After
some consideration, the author determined
the topic of the measuring instrument to be
made was the adaptation of the School
engagement Measure (SEM). SEM is a
measuring tool developed by Phyllis
Blumenfeld and Jennifer Fredricks in 2004,
consisting of 19 items and measuring three
dimensions, namely behavioral
engagement, Emotional engagement and
cognitive engagement. All items are scored
using a five-point likert scale from never to
always. SEM also has good internal validity
(α=0.83). To date, SEM has been widely
used in various studies on careers abroad
as well as in Indonesia, however, there has
been no research on its validity test other
than that conducted by Phyllis Blumenfeld
and Jennifer Fredricks (2004). Based on this,
this study aims to adapt to SEM so that
valid and reliable SEM is obtained for use in
Indonesia.
MATERIALS AND METHODS
Research Procedure
The measuring tool used to measure
the level of School engagement of students
is the School engagement Measure (SEM)
scale by adapting the scale developed by
Fredricks, J.A, Blumenfeld, O., Friedel, J, and
Paris, A. (Fredricks et al., 2004), will measure
three dimensions, namely Behavior
engagement includes the presence of
positive behavior, obeying the rules, not
doing various disruptive behaviors in
school, Concentrate on following learning,
doing assignments, persevering, giving
questions, focusing on learning, actively
participating in discussions and providing
active participation in school activities.
Emotional engagement involves students'
emotions towards teachers, friends or
academic and school activities. Cognitive
engagement includes the willingness and
attention exerted by students as an effort
to understand learning material or a certain
skill.
Guidelines for translating and adapting
test kits are also issued by the International
Test Commission (Gregoire, 2018) which are
outlined in The ITC Guidelines for
Translating and Adapting Tests. The
following are the stages of adaptation
carried out by the researcher:
a. Pre-condition stage. At this stage, the
researcher communicated via email and
obtained permission from the second
researchers, Phyllis Blumenfeld and Jennifer
Fredricks, to adapt to the scale of career
commitments to Indonesian.
b. Test development stage. The second
stage carried out by the researcher is to
translate the scale of the School
Engagement Measure (SEM) into
Indonesian with the context of Indonesian
culture. Translation from English to
Indonesian is done by two translators. The
criteria for a translator is a person who has
adequate knowledge of (1) the language
involved, (2) culture, (3) test content, and (4)
test principles in general. From these
criteria, researchers describe the criteria for
translators to be Indonesians who have an
IELTS score of at least 7.00 or TOEFL IBT of
at least 80, have a background in
Masyitha Nur Ramadhani
1
Urip Purwono
2
| 1655
psychology, especially educational topics,
and have lived in an English-speaking
country for more than two years. The
process of translating is carried out
independently by each translator.
c. The third stage is to synthesize by
discussing the results of the translation of
the two translators facilitated by the
researcher. One whole translation is
obtained based on the agreement of two
translators. This stage received results in
the form of a draft translation of SEM
Indonesian.
d. The fourth stage is to review the
translation results. A review is carried out to
test the equality of translations by experts.
Experts in this stage are psychology
lecturers who have translation experience
and have lived in an English-speaking
country for at least two years. The expert
gives an assessment of the SEM draft,
whether the existing translation is
appropriate and has the same meaning as
the original language.
e. The fifth stage is the readability test. New
sentences in Indonesian consulted
linguists. After the statement item was
compiled into a scale, it was then tested on
10 ordinary people, namely State High
School Students and conducted cognitive
interviews. This is done to see whether the
instructions and content of the aitem can
be understood by the subject or not. At this
stage it produces a semi-final scale of SEM
Indonesian (attached).
f. The sixth stage carried out by the
researcher is to carry out the lay-out of the
instructions and aitems of the SEM
statement so that it is ready to be
presented to the research subject.
g. The next stage of the researcher tests the
suitability of the measurement model for
each dimension of the career commitment
scale version of Indonesian through a
process of confirmatory factor analysis
(CFA) and reliability analysis using the
classic test theory (CTT) method, with the
help of SPSS 24 software. to facilitate the
calculation of reliability by calculating
Cronbach Alpha, to see the consistency
between items in measuring the construct
same. This study involved 213 participants.
This scale consists of 19 items and
measures three dimensions, namely
behavioral engagement, emotional
engagement and cognitive engagement.
All items are scored using a five-point likert
scale from never to always.
RESULTS AND DISCUSSION
The results of the initial CFA analysis on
the School Engagement Measure variable
are presented in table 3. Table 3 shows that
in general the measurement model is still
not fit. The value of the fit p-value, GFI,
RMSEA, NFI, IFI, CFI, TLI, and AGFI still does
not match the established criteria. The SEM
model and loading factor of each aitem can
be seen in figure 1. Because the model is
not yet fit, the researcher made
modifications to the model to obtain a
better model. Model modification is done
by removing items that have a loading
factor below 0.5. From the initial model
analysis, it is known that there are three
items that have a loading factor below 0.5,
namely B2 (item 2), C1 (item 12), C7 (item
18) B1 (item 1), E1 (item6), E6 (item 11), C6
1656 | School Engagement Measure Instrument Adaptation
(item 17), E3 (item 8), and C8 (item 19).
Thus, the final model will not include all
three aitems. The final model accuracy
parameters after deleting nine items can be
seen in table 1.
Table 1. Model accuracy parameters before modification
Parameter fit
Output
Criterion
Information
Chi square P-Value
0.025
≤ 0.05
Tidak Fit
Comparative Fit Index
(CFI)
0.818
≤ 0.90
Tidak Fit
Tucker-Lewis Index
(TLI)
0.791
≤ 0.9
Tidak Fit
Bentler-Bonett
Normed Fit Index (NFI)
0.730
≤ 0.9
Tidak Fit
Root mean square
error of approximation
(RMSEA)
0.082
≤ 0.08
Tidak Fit
Goodness of fit index
(GFI)
0.837
≤ 0.9
Tidak Fit
Table 1. shows the final model after
modification of the model. In the final
model, it can be seen that in Chi-square the
pvalue value is already above 0.05. This
shows that the model has been fit, where
there is no significant difference between
the ideal model and the proposed model
based on observational data. The GFI, NFI,
CFI, TLI, and RMSEA values also match the
criteria set for obtaining a fit model. Thus
this final model is already fit, which means
that the proposed model is fit with
empirical data. The complete model and
loading factor of each item on the final
model can be seen in figure 1.
Figure 1. Initial measurement model School
Engagement Measure
Variable
Masyitha Nur Ramadhani
1
Urip Purwono
2
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Table 2. Model se accuracy parametershave been modified
Parameter fit
Output
Criterion
Information
Chi square P-Value
0.025
≤ 0.05
Tidak Fit
Comparative Fit Index
(CFI)
0.949
≥ 0.90
Fit
Tucker-Lewis Index
(TLI)
0.908
≥ 0.9
Fit
Bentler-Bonett
Normed Fit Index (NFI)
0.912
≥ 0.9
Fit
Root mean square
error of approximation
(RMSEA)
0.074
≥ 0.08
Fit
Goodness of fit index
(GFI)
0.955
0.9
Fit
After that, a reliability test is carried
out. The reliability method used to
measure this student engagement measure
is classic test theory (CTT). The author uses
SPSS 24.0 software to facilitate reliability
calculations by calculating cronbach alpha,
to see the consistency between items in
measuring the same construct. The criteria
used to determine the level of reliability of
the measuring instrument in this study are
based on the criteria from (Kaplan &
Saccuzzo, 2017), namely α 0.70 means
that the measuring instrument is reliable,
and if α < 0.70 indicates that the measuring
instrument is not reliable. Based on table
5 it is known that all dimensions in SEM
instruments have excellent reliability can be
seen in table 6
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Table 4. Subscale Reliability At Every SEM Dimension
Based on the table above, it is known that
two of the three dimensions have reliable
reliability, it can be seen from each
dimension that they have a reliability value
in the >0.70 range, except behavioral
engagement dimenation which has a range
of < 0.70, but is still in the moderate
category or is still categorized as reliable
(Surjaweni, 2014). A discriminant test has
been carried out, a item nalisis performed
by the discriminant item method is an
analysis that reveals how much the test
item can distinguish between subjects who
fall into the high group and subjects who
fall into the low group. The discriminantt
item of the measuring instrument is derived
from the item-correlated value through
calculating the reliability of the test tool
using the help of SPSS 24.0 for Macintosh
software. According to (Azwar, 2016) as a
criteria for selecting items based on total
item correlation. Usually used rix limit
0.30. Therefore, all items that reach a
correlation coefficient of at least 0.30, the
difference is considered satisfactory. From
the results of the analysis using SPSS on the
student engagement measure scale, results
were obtained as in table 5.
Table. 3 RallyA Billiarity Scale On The School Engagement Measure Questionnaire
Scale
Number of Items
Cronbach’s Alpha
Category
student
engagement
measure
19
.815
Reliable
Dimension
Number
of Items
Cronbach’s
Alpha
Category
Behavioral
engagement
5
.658
Moderate
Emotional
Engagement
6
.825
Reliable
Cognitive
engagement
8
.781
Reliable
Table 5. Discriminant Item Analysis Results on a school engagement
measure scale
Item Number
Corrected Item-
Total
Correlation
Cronbach's Alpha
if Item Deleted
Classification
1
.389
.846
Satisfying
2
.223
.851
Unsatisfactory
3
.458
.843
Satisfying
Masyitha Nur Ramadhani
1
Urip Purwono
2
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CONCLUSIONS
The purpose of this study is to adapt
the SEM instrument so that it can be used
in Indonesia. Based on the results described
above, it can be concluded that the School
Engagement Measure consists of Behavior
Engagement, Emotional Engagement, and
Cognitive engagement. This suggests that
SEM has evidence of the validity of the
internal structure. In addition, SEM also has
evidence of discriminant vaidity. The
reliability of SEM is also classified as very
good, so it will provide relatively consistent
results when re-measurements are taken.
Thus, it can be said that this measuring
instrument can already measure what you
want to measure can be used on individual
student respondents aged 12-18 years in
Indonesia. This can be seen from valid items
and fit models.
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© 2023 by the authors. Submitted
for possible open access publication
under the terms and conditions of the Creative
Commons Attribution (CC BY SA) license
(https://creativecommons.org/licenses/by-sa/4.0/).