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ISSN No. 2321-2705 | DOI: 10.51244/IJRSI |Volume XII Issue VIII August 2025
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Socio-Motivational Relationships, Academic Self-Efficacy, and
Academic Achievement of Junior High School Students: A Structural
Equation Modeling Approach
Vincent R. Cailing, MA
PhD-EdMngt Student, Capitol University, Cagayan de Oro City, Philippines
DOI: https://doi.org/10.51244/IJRSI.2025.120800092
Received: 06 Aug 2025; Accepted: 12 Aug 2025; Published: 08 September 2025
ABSTRACT
This study examines the intricate relationship between socio-motivational factors, academic self-efficacy, and
academic achievement among junior high school students. Grounded in Bandura’s Social-Cognitive Theory
and Deci and Ryan’s Self-Determination Theory, the research explores how relationships with peers and
teachers influence students’ academic self-beliefs and outcomes. A total population sample of 332 junior high
school students from a public school in Claveria West District, Misamis Oriental, participated in the study.
Data were collected using validated instruments: The Relationship and Motivation Scales (REMO-P), The
Academic Self-Efficacy Scale for Filipino Junior High School Students (ASES-FJHS), and final grade
averages. Using Structural Equation Modeling (SEM), the findings revealed that socio-motivational
relationships significantly influence academic self-efficacy = 0.71, p < .001), while their direct effect on
academic achievement was not statistically significant (β = 0.13, p = .065). However, academic self-efficacy
strongly predicted academic achievement (β = 0.85, p < .001) and was found to fully mediate the relationship
between socio-motivational relationships and academic success, explaining 89.1% of the variance in
achievement. The final model demonstrated excellent fit indices (p=.239, CFI = 1.000, RMSEA = 0.000,
SRMR = 0.028), confirming the strength of the mediation pathway. These results underscore the key role of
academic self-efficacy as a mediator and highlight the importance of fostering positive socio-motivational
relationships to enhance students’ academic confidence and performance.
Keywords: Academic Self-Efficacy, Socio-Motivational Relationships, Academic Achievement
INTRODUCTION
A range of psychological and social factors, including motivation, self-confidence, and learning behavior,
influences students' academic success. Among these, relationships with peers and teachers play a pivotal role
in fostering a sense of belonging, engagement, and academic self-efficacy (Scales et al., 2020). Academic self-
efficacythe belief in one's ability to succeed in academic taskshas been widely recognized as a key
determinant of learning outcomes and persistence (Bandura, 1997). Recent studies have consistently
highlighted the significant role that motivation, self-belief, and attitude play in shaping students' academic
performance, with the importance of a supportive school environment emerging as a common theme (İnce,
2023).
The quality of relationships with peers and teachers can significantly enhance students' self-efficacy and
overall academic engagement (Benlahcene et al., 2024). Positive teacher-student relationships, in particular,
contribute to emotional well-being and foster a sense of belonging, which in turn improves academic
achievement (Allen et al., 2021). Additionally, studies suggest that teachers are more influential than peers in
motivating students academically, though students' reactions vary by gendergirls are more affected by
negative teacher relationships, while boys are more sensitive to peer influences (Wu et al., 2022). Teachers
who provide emotional support and encouragement help create a school climate that fosters motivation and
academic growth (Scales et al., 2020).
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In the context of the Philippines, academic performance concerns, particularly in subjects like reading,
mathematics, and science, underscore the need for further investigation into how school relationships impact
student learning. The Philippines ranked among the lowest in these areas in both the 2018 and 2022 PISA
assessments (OECD, 2019; 2023), highlighting the need to strengthen peer and teacher support systems.
Research suggests that while positive peer relationships foster collaboration and persistence, negative peer
influencessuch as distractions and peer pressurecan impede academic progress (Deci & Ryan, 2020). In
junior high school students, peer relationships have been found to significantly influence academic
achievement by shaping motivation and learning engagement (Shao et al., 2024). Likewise, teacher support
plays a critical role in boosting student confidence, but limitations such as large class sizes and heavy
workloads in the Philippine public-school system can hinder teachers' ability to offer individualized support
(Cahapay, 2021). This distinction is important because challenges such as underperformance in PISA, resource
constraints, and large class sizes are uniquely pressing in the Philippine setting, whereas global literature often
emphasizes technological integration, cultural diversity, and policy-driven reforms.
Moreover, academic self-efficacy plays a crucial role in students’ engagement with challenging subjects such
as mathematics and science. Meng and Zhang (2023) demonstrate that self-efficacy not only improves
academic engagement but directly enhances academic performance. However, many Filipino students struggle
with self-doubt, which impedes their persistence and effort in school (İnce, 2023). Research suggests that
personal strengths, such as hope and gratitude, positively influence academic confidence (Datu & Mateo,
2020). While the link between self-efficacy and academic outcomes is well-established globally, its role in
mediating the relationship between socio-motivational factors and academic achievement remains
underexplored in the Philippine context. Understanding this connection can provide valuable insights into how
to bolster students' confidence and motivation to succeed academically.
While numerous studies have explored the role of motivation in academic success, there is limited research in
the Philippines on how students' socio-motivational relationships in school, their academic self-efficacy, and
academic achievement are interconnected. This study seeks to address this gap by developing and validating a
model that explains how relationships with peers and teachers influence students’ academic self-efficacy and,
subsequently, their academic performance. Using Structural Equation Modeling (SEM), this research aims to
offer a clearer understanding of these relationships and provide insights for improving support systems that
enhance student learning outcomes.
Theoretical Framework:
This study is grounded in social-cognitive theory (Bandura, 1986), which posits that individuals’ beliefs in
their capabilities (self-efficacy) are shaped by social interactions and environmental influences. In the context
of education, school socio-motivational relationships include peer support and teacher encouragement.
Research suggests that students who receive positive reinforcement from peers and teachers tend to develop
stronger confidence in their academic abilities, leading to higher academic engagement and performance.
Furthermore, Self-Determination Theory (Deci & Ryan, 2000) highlights the importance of social interactions
in fostering intrinsic motivation, which influences academic achievement. Several studies have found that
students with higher academic self-efficacy exhibit greater perseverance, effort, and achievement in school
(Schunk & DiBenedetto, 2021).
Present Study
This study hypothesizes that students’ socio-motivational relationships in school have a direct influence on
both academic self-efficacy and academic achievement. Additionally, academic self-efficacy is expected to
mediate the relationship between socio-motivational relationships and academic achievement.
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Figure 1. Hypothesized Model of the Research
Research Questions:
1. What is the respondents’ level of socio-motivational relationships in terms of:
1.1 Peers as positive motivators;
1.2 Peers as Negative Motivators;
1.3 Individual Learning Behavior;
1.4 Teachers as positive motivators; and
1.5 Teachers as positive motivators?
2. What is the respondents’ level of academic self-efficacy in terms of:
2.1 Perceived control;
2.2 Competence;
2.3 Persistence; and
2.4 Self-regulated Learning?
3. What is the respondents’ level of academic achievement?
4. What model would best fit the structure of Junior High School students’ socio-motivational relationships,
Academic Self-Efficacy, and Academic Achievement?
5. Do Junior High School students’ socio-motivational relationships influence their academic achievement?
6. Do Junior High School students’ socio-motivational relationships influence their academic self-efficacy?
7. Does academic self-efficacy mediate the relationship between Junior High School students’ socio-
motivational relationships and academic achievement?
Hypotheses:
H
1
: Junior High School students’ socio-motivational relationships directly influence their academic
achievement.
H
2
: Junior High School students’ socio-motivational relationships directly influence their academic self-
efficacy.
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H
3
: Academic self-efficacy mediates the relationship between the Junior High School students’ socio-
motivational relationships and academic achievement.
METHODOLOGY
Research Model
The study employed a descriptive-causal design and utilized Structural Equation Modeling (SEM) to analyze
the relationships among key study variables and assess the mediation model. Specifically, it examined the role
of academic self-efficacy as a mediator in the relationship between socio-motivational relationships and
academic achievement among Junior High School students.
Research Participants and Data Gathering Procedure
The total population sampling method was employed in this study. According to Sekaran and Bougie (2013),
total population sampling is a purposive sampling technique that involves examining an entire population that
shares a specific set of characteristics. In this case, a sample of 332 Junior High School students enrolled in the
School Year 2024-2025 at a Junior High School in Claveria West District, Division of Misamis Oriental, was
selected to ensure comprehensive data collection from all eligible students. This approach was chosen to
capture the full range of variations in socio-motivational relationships, academic self-efficacy, and academic
achievement, thereby enhancing the accuracy and representativeness of the findings.
Data were gathered using a manual pen-and-paper survey to ensure accessibility and maximize participation.
Students were provided with printed survey forms and given clear instructions on how to complete them. Prior
to survey administration, parental consent was secured with the assistance of their class advisers, ensuring
ethical research practices and adherence to school policies.
The sample consisted of 189 males (56.9%) and 143 females (43.1%). The sample was further categorized by
grade level: 92 students (27.7%) from Grade 7, 87 students (26.2%) from Grade 8, 81 students (24.4%) from
Grade 9, and 72 students (21.7%) from Grade 10.
Research Instrument
This study used an adopted survey tool, and data were collected by employing a Demographic form, Socio-
Motivational Relationship Scale, Academic Self-Efficacy Scale, and Academic Achievement assessment,
which was based on their cumulative grade point average for the School Year 2024-2025. This section
provides further details and explanations regarding the specific aspects of these scales:
Relationship and Motivation Scales (REMO-P). The study utilized the Philippine Version of the
Relationship and Motivation Scales (REMO-P), a validated instrument developed by Raufelder, Hoferichter,
and Francisco (2016) to assess students’ perceptions of peers and teachers as sources of academic motivation.
The REMO-P consists of two main scales: the Peer-REMO-P, which measures peers as positive or negative
motivators and individual learning behavior, and the Teacher-REMO-P, which assesses teachers as positive or
negative motivators. This 4-point Likert Scale has an internal consistency value ranging from .67 to .88; the
scale demonstrated strong reliability, while factorial, construct, and criterion validity confirmed its
effectiveness in measuring socio-motivational influences. Confirmatory factor analysis (CFA) results showed a
good model fit, reinforcing its suitability for academic research.
Academic Self-efficacy Scale for Filipino Junior High School Students. The study used the Academic Self-
Efficacy Scale for Filipino Junior High School Students (ASES-FJHS) developed by Dullas (2018), which is
designed to measure students' self-beliefs in their ability to perform academic tasks. The 4-point Likert Scale
was constructed based on Classical Test Theory and underwent a rigorous validation process, involving
consultation with experts and content validation by four expert judges, resulting in a high Content Validation
Ratio (CVI = 0.87). The final form of the scale consists of 62 items across four key domains: Perceived
Control, Competence, Persistence, and Self-Regulated Learning. Reliability was assessed using various
methods, including Cronbach’s Alpha (0.95) and split-half reliability (Spearman-Brown Coefficient = 0.86),
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indicating high internal consistency. Convergent and concurrent validity tests showed strong correlations,
confirming that the ASES is a valid and reliable measure for assessing academic self-efficacy in Filipino junior
high school students.
For the adoption of these two research instruments, this study ensured that proper permission was obtained
before their use. Requests for approval were formally submitted via email to the respective authors, ensuring
compliance with ethical standards and securing the necessary consent to utilize the instruments in the research.
Table 1. Summary of Key Instruments Properties
Instrument
Purpose
Reliability / Validity
REMO-P (Philippine
Version)
Assesses peer/teacher motivational
influence
α=.67–.88; CFA confirmed a good
fit
ASES-FJHS
Measures the academic self-efficacy of
Filipino JHS students
α=.95; CVI=.87; strong
convergent validity
Academic Achievement. For measuring academic achievement, this study utilized the final average grade of
students, which was calculated based on their grades from the First to Fourth Quarter across eight subjects
during the School Year 2024-2025. This comprehensive approach ensures that the academic performance of
students is assessed over a full academic year, providing a reliable indicator of their overall achievement in
multiple subject areas.
This was measured using the DepEd K to 12 grading scale, which categorizes student performance into five
levels: Outstanding (90100), Very Satisfactory (8589), Satisfactory (8084), Fairly Satisfactory (7579),
and Did Not Meet Expectations (Below 75).
Data Analysis
The statistical analysis for this study was conducted using JASP v.0.19.3 and AMOS v.21. Descriptive
statistics were first computed to summarize the characteristics of the variables under investigation. Structural
equation modeling (SEM) was then utilized to examine the relationship between socio-motivational
relationships and academic achievement among Junior High School students, while also exploring the potential
mediating effect of academic self-efficacy on this relationship.
Ethical Considerations
This study followed ethical research principles to ensure the rights and well-being of all participants. Parental
consent and student assent were obtained before data collection, allowing participants to voluntarily take part
in the study with a clear understanding of its purpose and procedures. Confidentiality and anonymity were
strictly maintained by coding responses and securely storing data, ensuring that individual identities remained
protected. Since the study involved only self-report surveys, the risk to participants was minimal, but they
were given the option to skip any questions that made them uncomfortable. To uphold academic integrity,
proper permissions were secured before adopting research instruments, ensuring compliance with ethical and
intellectual property guidelines. Additionally, all data collection, analysis, and reporting were conducted
transparently, without fabrication or bias. By adhering to these ethical safeguards, the study maintained high
ethical standards and protected the rights of all participants.
RESULTS
This section presents an analysis and interpretation of the collected data, which has been organized and
displayed in tables corresponding to the specific research questions.
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What is the respondents’ level of socio-motivational relationships?
The analysis of respondents’ socio-motivational relationships, as shown in Table 2, indicates an overall mean
score of 2.94 (SD = 0.32), which falls within the "Moderately High" category. This suggests that respondents
generally perceive socio-motivational relationships as having a positive influence on their academic
experiences. Among the domains, Peers as Positive Motivators (M = 3.06, SD = 0.51) and Teachers as Positive
Motivators (M = 3.10, SD = 0.53) received moderately high ratings, indicating that both peers and teachers
contribute to fostering academic motivation. However, Peers as Negative Motivators (M = 3.10, SD = 0.58)
also scored moderately high, suggesting that while peers provide positive support, they may also exert negative
influences, such as distractions or peer pressure.
Meanwhile, Individual Learning Behavior (M = 2.64, SD = 0.76) falls within the same moderately high range,
indicating that students demonstrate self-directed learning behaviors, although the relatively higher standard
deviation suggests variability among respondents. Additionally, Teachers as Negative Motivators (M = 2.79,
SD = 0.50) also received a moderately high rating, implying that some students may experience discouraging
or demotivating interactions with their teachers. Overall, the findings highlight the significant role of both
peers and teachers in shaping students’ academic motivation, with both positive and negative influences
present in the learning environment.
Table 2. Summary of the Mean Distribution of the Respondents’ Socio-Motivational Relationships
Socio-Motivational Relationships
SD
Description
Interpretation
Peers as Positive Motivators (PPM)
.51
Agree
Moderately High
Peers as Negative Motivators (PNM)
.58
Agree
Moderately High
Individual Learning Behavior (ILB)
.76
Agree
Moderately High
Teachers as Positive Motivators (TPM)
.53
Agree
Moderately High
Teachers as Negative Motivators (TNM)
.50
Agree
Moderately High
Overall
.32
Agree
Moderately High
Legend: 1.00 1.75: Low, 1.76 2.50: Moderately Low, 2.56 3.25: Moderately High, 3.26 4.00: High
What is the respondents’ level of academic self-efficacy?
The analysis of respondents’ academic self-efficacy, as presented in Table 3, reveals an overall mean score of
2.89 (SD = 0.45), which falls within the "Moderately High" category. This suggests that respondents generally
perceive themselves as having a moderate level of confidence in their ability to regulate their learning, persist
through challenges, and exercise control over their academic performance.
Among the specific domains, Persistence (M = 2.98, SD = 0.57) received the highest mean score, indicating
that students generally believe they can continue working toward academic goals despite difficulties. Self-
Regulated Learning (M = 2.94, SD = 0.53) and Perceived Control (M = 2.88, SD = 0.52) were also rated
moderately high, suggesting that respondents feel a certain degree of autonomy in managing their learning and
academic tasks. Meanwhile, Competence (M = 2.77, SD = 0.64) had the lowest mean score among the
domains, implying that while students generally agree that they are capable, some may have reservations about
their academic abilities.
Overall, the findings indicate that while respondents demonstrate moderate confidence in their academic self-
efficacy, there may still be areas for improvement, particularly in strengthening their sense of competence and
control over their learning outcomes.
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Table 3. Summary of the Mean Distribution of the Respondents’ Academic Self-Efficacy
Academic Self-Efficacy
Mean
SD
Description
Interpretation
Perceived Control (PC)
2.88
.52
Agree
Moderately High
Competence (C)
2.77
.64
Agree
Moderately High
Persistence (P)
2.98
.57
Agree
Moderately High
Self-Regulated Learning (SRL)
2.94
.53
Agree
Moderately High
Overall
2.89
.45
Agree
Moderately High
Legend: 1.00 1.75: Low, 1.76 2.50: Moderately Low, 2.56 3.25: Moderately High, 3.26 4.00: High
What is the respondents’ level of academic achievement?
The respondents' academic achievement levels were assessed based on their average grades across different
grade levels. Table 4 presents a summary of the mean distribution of academic achievement among Junior
High School students.
The results indicate that students across all grade levels demonstrated a Very Satisfactory level of academic
performance, with mean scores ranging from 85.04 (Grade 7) to 86.70 (Grade 9). The overall mean score was
85.88, which falls within the Very Satisfactory category according to the grading scale used. These findings
suggest that students generally perform well in their academic coursework, achieving competencies that meet
or exceed expectations (Department of Education, 2016).
Table 4. Summary of the Mean Distribution of the Respondents’ Level of Academic Achievement
Grade Level
Mean
Description
Grade 7
85.04
Very Satisfactory
Grade 8
86.54
Very Satisfactory
Grade 9
86.70
Very Satisfactory
Grade 10
85.25
Very Satisfactory
Overall
85.88
Very Satisfactory
Legend: Below 75: Did Not Meet Expectation; 75-79: Fairly Satisfactory; 80-84: Satisfactory; 85-89: Very
Satisfactory; 90-100: Outstanding
What model would best fit the structure of Junior High School students’ socio-motivational
relationships, Academic Self-Efficacy, and Academic Achievement?
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Figure 2. Final Model of the Research
This final model represents a structural equation model (SEM) examining the relationships among socio-
motivational relationships (SMR), academic self-efficacy, and academic achievement, showing a strong
correlation with the data, as evidenced by the positive fit indices presented in Table 5.
Table 5. Goodness of Fit Measures of the Structural Equation Final Model
X
2
df
X
2
/df
p
GFI
AGFI
NFI
IFI
TLI
CFI
SRMR
RSMEA
Critical
Value
>0
<3
>.05
>0.9
>0.9
>0.9
>0.9
>0.9
>0.9
<.05
<.05
Model
32.907
28
1.175
.239
.981
.963
.971
.996
.993
.996
.0298
.023
The final model in this research, represented by a structural equation model (SEM), examines the relationships
between socio-motivational relationships (SMR), academic self-efficacy, and academic achievement. The
model shows a good fit with the data, as evidenced by the fit indices presented in Table 5.
Other fit indices, such as the Goodness of Fit Index (GFI) of .981, Adjusted Goodness of Fit Index (AGFI) of
.963, and Normed Fit Index (NFI) of .971, all surpass the recommended cutoff of .90, suggesting that the
model fits the data well (Hair et al., 2010). The Comparative Fit Index (CFI) of .996 and Incremental Fit Index
(IFI) of .996, which are both close to 1, further indicate a strong model fit. Additionally, the Root Mean Square
Residual (SRMR) value of .0298 and the Root Mean Square Error of Approximation (RMSEA) value of .023,
both of which are less than the critical value of .05.
The positive model fit indices suggest that the final SEM model adequately represents the relationships among
socio-motivational relationships, academic self-efficacy, and academic achievement, providing reliable
insights for understanding the factors that contribute to academic success.
Do Junior High School students’ socio-motivational relationships influence their academic achievement?
The results in Table 6 show that socio-motivational relationships have a positive but relatively weak influence
on academic achievement in Junior High School students. The standardized direct effect coefficient = .124)
suggests that socio-motivational relationships contribute to about 12.4% of students' academic achievement
variation. However, the p-value of .065 is just above the conventional threshold of significance (p < .05),
indicating that this effect is not statistically significant at the 5% level, though it may be considered marginally
significant (Kline, 2015).
This indicates that the hypothesis stating that socio-motivational relationships directly influence their academic
achievement is not supported.
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Table 6. Influence of Junior High School Students’ Socio-Motivational Relationships on Their Academic
Achievement
Standardized Direct Effect
β coefficient
p-value
SMR à AcadAchievement
.12
.065
NS
Note:
NS
Not Significant, SMR Socio-Motivational Relationships
Do Junior High School students’ socio-motivational relationships influence their academic self-efficacy?
Based on the results presented in Table 7, the standardized direct effect of socio-motivational relationships on
academic self-efficacy is β = 0.72, and the p-value is <0.001. This indicates a statistically significant positive
relationship between socio-motivational relationships and academic self-efficacy, meaning that higher levels of
positive socio-motivational relationships (such as supportive interactions with peers and teachers) are strongly
associated with higher academic self-efficacy among junior high school students.
The results support the hypothesis that socio-motivational relationships directly influence academic self-
efficacy.
Table 7. Influence of Junior High School Students’ Socio-Motivational Relationships on Their Academic Self-
Efficacy
Standardized Direct Effect
β coefficient
p-value
SMR à AcadSelf-Efficacy
.72
0.001***
Note: ***p<.001, SMR Socio-Motivational Relationships
Does academic self-efficacy mediate the relationship between Junior High School students’ socio-
motivational relationships and academic achievement?
Figure 3. Mediating Effect of Academic Self-Efficacy
Upon examining the R
2
values presented in Figure 3, 51.1% of the variance in academic self-efficacy can be
explained by the socio-motivational relationships based on the. Then, 89.1% of the variance in academic
achievement can be explained by the combined influence of socio-motivational relationships and academic
self-efficacy. The β coefficient indicates that there is a strong statistically significant positive relationship
between socio-motivational relationships and academic self-efficacy (β=.72, p<.001). Additionally, Figure 3
reveals that there is also a strong positive relationship between academic self-efficacy and academic
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achievement (β=.85, p<.001). However, it can be noted that the relationship between socio-motivational
relationships and academic achievement is not statistically significant (β=.12, p=.065).
Figure 3 illustrates that the influence of socio-motivational relationships on academic achievement increases
significantly from 0.51 to 0.89, as determined by structural equation modeling. This increase occurs when
academic self-efficacy is introduced as a mediator in the relationship between socio-motivational relationships
and academic achievement.
To determine the significance of the indirect effects of full mediation observed in the model, the mediation
analysis was performed by using the direct and indirect effects based on bootstrap procedures (1000 samples)
and bias-corrected bootstrap confidence interval (95%), see Table 8.
Table 8. Bootstrapping Results for Mediating Effect of Academic Self-Efficacy on the Relationship Between
Socio-Motivational Relationships and Academic Achievement
Indirect Effect
Bootstrap
Coefficient
SE
95% Confidence Interval
R
2
p
Lower
Upper
SMRASEAcadA
.609
.096
.472
.820
.891
.002**
Note: **p<.01, SMR Socio-Motivational Relationships, ASE Academic Self-Efficacy, AcadA Academic
Achievement, SE Standard Error
The results support the hypothesis, which posits that academic self-efficacy mediates the relationship between
socio-motivational relationships and academic achievement.
DISCUSSION AND CONCLUSION
This study examined the relationships among socio-motivational relationships, academic self-efficacy, and
academic achievement in Junior High School students, providing insights into how these factors interact within
the learning environment.
Findings suggest that students generally perceive their socio-motivational relationships as moderately high, as
experienced in school. Peers and teachers play crucial roles in shaping students' motivation, both positively
and negatively. Supportive teacher-student relationships foster academic engagement and emotional well-
being, reinforcing previous research that highlights the importance of teacher encouragement in student
motivation (Benlahcene et al., 2024). Conversely, peer distractions and negative teacher behaviors can
undermine academic focus, aligning with studies that emphasize the dual nature of socio-motivational
influences in school settings (İnce, 2023). These findings further support Deci and Ryan’s (2000) Self-
Determination Theory, which underscores the role of social interactions in developing intrinsic motivation,
competence, and relatedness.
Regarding academic self-efficacy, students report moderately high confidence in their academic abilities,
particularly in persistence and self-regulation. This aligns with research indicating that students with higher
self-efficacy are more likely to exert effort and persist in challenging academic tasks (Meng & Zhang, 2023).
However, some students still struggle with perceived competence, suggesting a need for targeted interventions
to enhance their confidence. Research has shown that positive reinforcement from teachers and structured peer
support significantly improve students’ academic self-efficacy, leading to better engagement and learning
outcomes (Datu & Mateo, 2020).
The analysis of academic achievement revealed that most students perform at a “Very Satisfactory level,
indicating that they generally meet or exceed academic expectations. While socio-motivational relationships
significantly influence academic self-efficacy, their direct impact on academic achievement was weak and not
statistically significant.
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Notably, the final model of the study confirmed that academic self-efficacy plays a key mediating role in the
relationship between socio-motivational relationships and academic achievement. The findings indicate a full
mediation effect, as socio-motivational relationships do not exert a direct influence on the academic
achievement of junior high school students, but instead impact it indirectly through academic self-efficacy.
These results align with Bandura’s (1986) Social-Cognitive Theory, which emphasizes that self-efficacy,
shaped through social interactions, plays a key role in academic success. The mediating role of academic self-
efficacy in the relationship between socio-motivational factors and academic achievement was confirmed,
supporting research that highlights the importance of self-belief in driving student performance (Shao et al.,
2024). The bootstrap analysis further reinforced this mediation effect, indicating that while social relationships
contribute to student confidence, it is ultimately self-efficacy that translates this support into academic success.
This study shows that while good relationships with peers and teachers help boost students' motivation and
confidence, they do not directly improve academic performance. Instead, academic self-efficacy, the students'
belief in their ability to succeed, plays a key role. It fully explains how socio-motivational relationships
influence academic achievement, meaning these relationships affect performance only through their impact on
self-efficacy.
Given these findings, schools should implement strategies to strengthen both socio-motivational relationships
and self-efficacy. Teacher training programs focused on enhancing student motivation, peer mentoring
initiatives, and classroom environments that promote self-confidence can help maximize academic success.
Future research should explore additional moderating variables, such as school climate and socio-economic
status, to further refine these relationships. Additionally, intervention-based studies could assess the
effectiveness of programs designed to improve students’ academic self-efficacy and overall learning outcomes.
Limitations Of The Study
This study has several limitations that may affect the interpretation of its findings. First, the sample was
limited to 332 Junior High School students from a single secondary school in Claveria West District, Misamis
Oriental, which restricts generalizability to other contexts where socio-cultural and educational conditions
differ. Second, reliance on self-reported surveys may have introduced response bias, potentially inflating or
deflating measures of motivation and self-efficacy and influencing the mediation effects observed in SEM.
Third, external factors such as family support, socio-economic status, and school climate were not examined,
leaving open the possibility that unmeasured variables influenced the relationships identified. Lastly, while
SEM was appropriate for testing the hypothesized model, the use of alternative statistical techniques or
additional variables might yield different insights.
Despite these constraints, the study contributes valuable evidence on the importance of socio-motivational
relationships and academic self-efficacy, suggesting that future research should use more diverse samples,
multiple data sources, and broader contextual measures.
REFERENCES
1. Abaszadeh, H., Amani, M., & Pordanjani, T. R. (2024). The relationship between motivational-
cognitive variables, academic self-efficacy of students mediated by parents educational expectations,
parent-child interaction, and teacher-student interaction. Learning and Motivation, 86, 101983.
https://doi.org/10.1016/j.lmot.2024.101983
2. Ahmadi, S. (2020). Academic Self-Esteem, Academic Self-Efficacy and Academic Achievement: A
Path analysis. Journal of Forensic Psychology, 5(1), 16. https://doi.org/10.35248/2475-319x.19.5.155
3. Allen, K., Slaten, C. D., Arslan, G., Roffey, S., Craig, H., & Vella-Brodrick, D. A. (2021). School
Belonging: The importance of student and teacher relationships. In Springer eBooks (pp. 525550).
https://doi.org/10.1007/978-3-030-64537-3_21
4. Bandura, A. (1986). Social foundations of thought and action: A social cognitive theory. Prentice-Hall.
INTERNATIONAL JOURNAL OF RESEARCH AND SCIENTIFIC INNOVATION (IJRSI)
ISSN No. 2321-2705 | DOI: 10.51244/IJRSI |Volume XII Issue VIII August 2025
Page 1079
www.rsisinternational.org
5. Basith, A., Syahputra, A., & Ichwanto, M. A. (2020). Academic Self-Efficacy as predictor of academic
achievement. JPI (Jurnal Pendidikan Indonesia), 9(1), 163. https://doi.org/10.23887/jpi-
undiksha.v9i1.24403
6. Benlahcene, A., Abdelrahman, R. M., Ahmed, M., & Aboudahr, S. M. F. M. (2024). A pathway to
engagement: the mediating role of self-efficacy between interpersonal relationships and academic
engagement. Cogent Psychology, 11(1). https://doi.org/10.1080/23311908.2024.2330239
7. Cahapay, M. B. (2021). The Impact of COVID-19 on Philippine Education: A Multi-Level Analysis.
Educational Research for Policy and Practice, 20(3), 387-405.
8. Cebu, J. (2023). Self-efficacy of Filipino college students as correlates to demographics. United
International Journal for Research & Technology, 4(3).
https://uijrt.com/articles/v4/i3/UIJRTV4I30006.pdf
9. Corpuz, J. T., Peña, G. S., & Baconguis, R. D. T. (2022). Achievement, affiliation, power and
academic performance of business management students of a state university in Cavite, Philippines.
Cogent Social Sciences, 8(1). https://doi.org/10.1080/23311886.2022.2060538
10. Cruz, M. C. a. D., Lumanlan, A., Felix, H. G., Dizon, I., Valerio, A., Dayrit, E., Sison, S. J., Gaña, R.,
& Gatchalian, E. J. (2023). Self-efficacy, motivation and academic performance of students during the
flexible learning mode. Brazilian Journal of Science, 2(9), 2236. https://doi.org/10.14295/bjs.v2i9.357
11. Dadandi, İ. (2023). Academic Self-Efficacy, Study Skills and Academic Achievement: A Serial
Mediation model. Research on Education and Psychology, 7(2), 291306.
https://doi.org/10.54535/rep.1342022
12. Daliri, E., Meymand, Z. Z., Soltani, A., & Abaei, N. H. (2021). Examining the model of academic Self-
Efficacy based on the Teacher-Student relationship in high school students. Iranian Evolutionary
Educational Psychology Journal, 3(3), 247255. https://doi.org/10.52547/ieepj.3.3.247
13. Datu, J. a. D., & Mateo, N. J. (2020). Character strengths, academic self-efficacy, and well-being
outcomes in the Philippines: A longitudinal study. Children and Youth Services Review, 119, 105649.
https://doi.org/10.1016/j.childyouth.2020.105649
14. Deci, E. L., & Ryan, R. M. (1985). Intrinsic motivation and self-determination in human behavior.
Springer.
15. Department of Education. (2016). DO 8, s. 2015: Policy guidelines on classroom assessment for the K
to 12 basic education program. https://www.deped.gov.ph/
16. Dullas A. R. (2018) The Development of Academic Self-Efficacy Scale for Filipino Junior High
School Students. Front. Educ. 3:19. doi: 10.3389/feduc.2018.00019
17. Farnam, A., & Anjomshoaa, H. (2020). The Relationship between Metacognition Skills with Academic
Motivation and Academic Achievement among High School Students in Kerman, Iran. International
Journal of Pediatrics, 8(1), 1075910766. https://doi.org/10.22038/ijp.2020.45608.3731
18. Garrido, G. (2023). Bandura’s self-efficacy theory of motivation in psychology. SimplyPsychology.
https://www.simplypsychology.org/selfefficacy.html
19. Goyal, S., & Worrell, F. C. (2022). The Association of Social Emotional Constructs and Academic
Motivation with Academic Achievement in Adolescents. Journal of Educational and Developmental
Psychology, 12(2), 118. https://doi.org/10.5539/jedp.v12n2p118
20. Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2010). Multivariate data analysis (7th ed.).
Pearson Prentice Hall.
21. İnce, M. (2023). Examining the Role of Motivation, Attitude, and Self-Efficacy Beliefs in Shaping
Secondary School Students’ Academic Achievement. Sustainability, 15(15), 11612.
https://doi.org/10.3390/su151511612
22. Kline, R. B. (2015). Principles and practice of structural equation modeling (4th ed.). The Guilford
Press.
23. Lei, W., Wang, X., Dai, D. Y., Guo, X., Xiang, S., & Hu, W. (2022). Academic self‐efficacy and
academic performance among high school students: A moderated mediation model of academic
buoyancy and social support. Psychology in the Schools, 59(5), 885899.
https://doi.org/10.1002/pits.22653
24. Madrilejos, K. (2025). Structural equation model of students' interest, motivation, self-efficacy,
persistence, and perceived teaching quality in mathematics. Journal of Interdisciplinary Perspectives,
3(3), 260272. https://doi.org/10.69569/jip.2024.0698
INTERNATIONAL JOURNAL OF RESEARCH AND SCIENTIFIC INNOVATION (IJRSI)
ISSN No. 2321-2705 | DOI: 10.51244/IJRSI |Volume XII Issue VIII August 2025
Page 1080
www.rsisinternational.org
25. Magana, G. (2024). Teacher’s affective support and its influence toward students’ academic effort and
academic performance: A structural equation model approach. International Journal of Contemporary
Sciences, 2(2), 173192. https://doi.org/10.55927/ijcs.v2i2.12790
26. Meng, Q., & Zhang, Q. (2023). The Influence of Academic Self-Efficacy on University Students’
Academic Performance: The Mediating Effect of Academic Engagement. Sustainability, 15(7), 5767.
https://doi.org/10.3390/su15075767
27. Meng, Q., & Zhang, Q. (2023). The influence of academic self-efficacy on university students’
academic performance: The mediating effect of academic engagement. Sustainability, 15, 5767.
https://doi.org/10.3390/su15075767
28. Musa, M. (2020). Academic Self-Efficacy and Academic Performance Among University
Undergraduate Students: An Antecedent To Academic Success. European Journal of Education
Studies. https://doi.org/10.46827/ejes.v0i0.3005
29. Nerona, R. R. (2020). Parenting, major choice motivation, and academic major satisfaction among
Filipino College Students: A Self-Determination Theory Perspective. Journal of Career Assessment,
29(2), 205220. https://doi.org/10.1177/1069072720941269
30. OECD (2019, 2023). PISA Reports. Organisation for Economic Co-operation and Development.
31. Pasana, J.P., Badua, J.I., Manaois, A.R., Retuya, J.R., Bernardo, J.V., & Camara, J.S. (2020). Self-
Efficacy among Engineering and Fisheries Technology Students in Region I, Philippines:.
32. Pratiwi, L. E., Laily, N., & Sholichah, I. F. (2021). The Relationship Between Self-Efficacy And
Academic Achievement. Journal Universitas Muhammadiyah Gresik Engineering Social Science and
Health International Conference (UMGESHIC), 1(2), 851.
https://doi.org/10.30587/umgeshic.v1i2.3462
33. Rajendran, N. D., & Selvaganapathy, N. D. (2024). A Study on Socio Economic Status in Relation To
Their Academic Achievement Among High School Students. EPRA International Journal of Research
& Development (IJRD), 185190. https://doi.org/10.36713/epra16115
34. Raufelder D., Hoferichter, F. & Francisco, M. (2016). Validation of the Philippine Version of the
Relationship and Motivation Scales (REMO-P). Philippine Journal of Psychology. 49(1), 43-72.
35. Ronquillo-Elvina, F., & Quirap, E. A. (2024). Motivational Factors and Academic Performance among
Learners in Tagoloan District, Misamis Oriental. European Modern Studies Journal, 8(1), 175193.
https://doi.org/10.59573/emsj.8(1).2024.16
36. S, S., & Mohanasundaram, T. (2024). Fit Indices in Structural Equation Modeling and Confirmatory
Factor Analysis: Reporting Guidelines. Asian Journal of Economics, Business and Accounting, 24(7),
561577. https://doi.org/10.9734/ajeba/2024/v24i71430
37. Scales, P. C., Van Boekel, M., Pekel, K., Syvertsen, A. K., & Roehlkepartain, E. C. (2020). Effects of
developmental relationships with teachers on middle‐school students’ motivation and performance.
Psychology in the Schools, 57(4), 646677. https://doi.org/10.1002/pits.22350
38. Schunk, D. H., & DiBenedetto, M. K. (2021). Motivation and social-emotional learning: Theory,
research, and practice. Contemporary Educational Psychology, 64, 101947.
https://doi.org/10.1016/j.cedpsych.2020.101947
39. Sekaran, U., & Bougie, R. (2013). Research Methods for Business (6th ed.). John Wiley & Sons.
40. Shao, Y., Kang, S., Lu, Q., Zhang, C., & Li, R. (2024). How peer relationships affect academic
achievement among junior high school students: The chain mediating roles of learning motivation and
learning engagement. BMC Psychology, 12(1). https://doi.org/10.1186/s40359-024-01780-z
41. Shao, Y., Kang, S., Lu, Q., Zhang, C., & Li, R. (2024). How peer relationships affect academic
achievement among junior high school students: The chain mediating roles of learning motivation and
learning engagement. BMC Psychology, 12, 278. https://doi.org/10.1186/s40359-024-01780-z
42. Shofiah, V., Taruna, R., & Asra, Y. K. (2023). Academic Self-Efficacy as a mediator on the
relationship between academic motivation and academic achievement of college students during the
online learning period. International Journal of Islamic Educational Psychology, 4(1).
https://doi.org/10.18196/ijiep.v4i1.18247
43. Usher, E. L., & Pajares, F. (2008). Sources of self-efficacy in school: Critical review of the literature
and future directions. Review of Educational Research, 78(4), 751796.
https://doi.org/10.3102/0034654308321456
INTERNATIONAL JOURNAL OF RESEARCH AND SCIENTIFIC INNOVATION (IJRSI)
ISSN No. 2321-2705 | DOI: 10.51244/IJRSI |Volume XII Issue VIII August 2025
Page 1081
www.rsisinternational.org
44. Villarino, R.T. (2020). Convergence Model of Motivational Attributes And Academic Performance
Among College Students.
45. Wu, F., Jiang, Y., Liu, D., Konorova, E., & Yang, X. (2022). The role of perceived teacher and peer
relationships in adolescent students’ academic motivation and educational outcomes. Educational
Psychology, 42(4), 439458. https://doi.org/10.1080/01443410.2022.2042488
46. Xie, K., Vongkulluksn, V. W., Lu, L., & Cheng, S. (2020). A person-centered approach to examining
high-school students’ motivation, engagement and academic performance. Contemporary Educational
Psychology, 62, 101877. https://doi.org/10.1016/j.cedpsych.2020.101877
47. Yao, J. J. (2021). The significance of self-directed learning readiness, academic self-efficacy, and
problem-solving ability among Filipino nursing students. International Journal of Learning Teaching
and Educational Research, 20(10), 8394. https://doi.org/10.26803/ijlter.20.10.5
48. Zhen, R., Liu, R. D., Ding, Y., Hong, W., & Jiang, R. (2017). The role of academic self-efficacy and
social support in the relationship between growth mindset and student engagement. Educational
Psychology, 37(9), 10861098. https://doi.org/10.1080/01443410.2016.1202904
49. Živković, M., Pellizzoni, S., Doz, E., Cuder, A., Mammarella, I., & Passolunghi, M. C. (2023). Math
self-efficacy or anxiety? The role of emotional and motivational contribution in math performance.
Social Psychology of Education, 26(3), 579601. https://doi.org/10.1007/s11218-023-09760-8