Predictive Influence of Supervisory Behavior Orientations on the  
Instructional Performance of Teachers in Large-Type High Schools  
1Nickle Rey A. Cañete, LPT, MAEd Bio, 2Dr. Helen C. Fuentes  
1PhD Student, Eastern Samar State University -Main Campus, Borongan City, Eastern Samar,  
Philippines  
2Associate Professor IV, Eastern Samar State University-Main Campus, Borongan City, Eastern  
Samar, Philippines  
Received: 20 February 2026; Accepted: 02 March 2026; Published: 30 March 2026  
ABSTRACT  
This study examined the predictive influence of supervisory behavior orientations on the instructional  
performance of teachers in a large-type public high school. Specifically, it investigated how directive,  
collaborative, transformational, and nondirective supervisory orientations relate to teachers’ Individual  
Performance Commitment and Review Form (IPCRF) ratings. The study employed a descriptivecorrelational  
research design and involved 45 teachers from the Science, Mathematics, and STEM departments of Eastern  
Samar National Comprehensive High School (ESNCHS) during the School Year 20252026. Data were  
collected using the Supervisory Behavior Orientation Questionnaire (SBOQ), a researcher-developed Likert-  
type instrument, complemented by the teachers’ actual IPCRF ratings representing their instructional  
performance.  
Results revealed that all four supervisory behavior orientations were practiced by school heads to a great  
extent. Among these, directive and transformational orientations exhibited the strongest positive correlations  
with instructional performance, indicating that clear guidance, feedback, and motivational leadership contribute  
significantly to effective teaching. Regression analysis further showed that supervisory behavior orientations  
collectively serve as significant predictors of teachers’ IPCRF ratings. Thus, the null hypotheses stating no  
significant relationship and no significant predictive influence were rejected.  
The findings underscore the importance of balancing directive and transformational supervisory practices to  
foster both accountability and professional growth among teachers. School administrators are encouraged to  
adopt supervisory approaches that inspire, guide, and support teachers toward sustained instructional  
excellence.  
Keywords: supervisory behavior orientations, instructional performance, directive, transformational,  
correlation, regression, ESNCHS  
INTRODUCTION  
Background of the Study  
Globally, educational systems have increasingly adopted performance-based evaluation mechanisms  
emphasizing accountability, instructional quality, and professional development. In the Philippine context, this  
paradigm shift is embodied in the Results-Based Performance Management System (RPMS), wherein the  
Individual Performance Commitment and Review Form (IPCRF) serve as a primary instrument for evaluating  
teaching effectiveness. The IPCRF consolidates performance objectives, competency indicators, and  
professional growth plans, thus providing a holistic assessment of teachers’ instructional competence  
(Department of Education [DepEd], 2025). Through its structured domains, the IPCRF enables comprehensive  
teacher evaluation and feedback, forming part of the broader Performance Management and Evaluation System  
(PMES) as outlined in DepEd Memorandum No. 17, s. 2025.  
Instructional supervision plays a pivotal role in enabling teachers to meet the standards set by the IPCRF. It  
encompasses various strategies such as classroom observation, coaching, mentoring, and reflective feedback,  
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all aimed at improving instructional delivery. Empirical evidence consistently affirms that effective supervision  
enhances teacher performance, job motivation, and satisfaction. Landawe, Cayabas, and Landawe (2024)  
demonstrated that supervisory competence positively correlates with teacher productivity, particularly when  
feedback mechanisms are structured and developmental. Similarly, Tuico and Callo (2024) revealed that  
supervisory presence and interpersonal support significantly improved instructional practices among teachers  
during the post-pandemic transition period.  
Beyond the Philippine setting, international studies support the same premise. For example, Hoque et al. (2020)  
found that directive supervisory practices characterized by explicit guidance, task clarity, and structured  
implementation promoted substantial gains in instructional quality among Malaysian secondary school  
teachers. These studies highlight the global recognition of supervision as a determinant of instructional  
performance.  
However, much of the existing literature tends to treat supervision as a singular construct, overlooking the  
nuanced behavioral orientations that supervisors exhibit. The PathGoal Theory provides a conceptual lens for  
understanding  
how  
supervisory  
orientationsdirective,  
supportive  
(transformational),  
participative  
(collaborative), and achievement-oriented (autonomous)differentially influence subordinates’ motivation and  
performance depending on contextual alignment (Saleem et al., 2021). Yet, limited empirical research has  
examined how these orientations predict measurable instructional outcomes, particularly within the structured  
framework of the IPCRF.  
In the Philippine research landscape, studies commonly focus on general supervisory effectiveness or  
competence rather than specific behavioral orientations. This gap constrains educational leaders and  
policymakers from identifying which supervisory styles most effectively enhance teacher performance within  
DepEd’s performance-based system. Moreover, the Senior High School (SHS) context presents distinctive  
challenges requiring specialized supervision. SHS teachers operate under diverse academic strands and are  
evaluated through the Philippine Professional Standards for Teachers (PPST) using the IPCRF, which imposes  
higher accountability and competency expectations. Despite this, few studies have isolated the SHS  
environment as a focal context for analyzing supervisory dynamics, thus limiting the applicability of prior  
findings.  
The PathGoal Theory posits that supervisory effectiveness arises from the alignment between leadership  
behavior and subordinate readiness. In this framework, directive supervision provides clarity and structure,  
supportive supervision builds morale, participative supervision fosters collaboration, and achievement-oriented  
supervision promotes autonomy and excellence (Saleem et al., 2021). Supervisors capable of adjusting their  
orientation based on teachers’ developmental needs are more likely to achieve higher performance outcomes.  
Complementing this is the Pygmalion Effect, a social psychological theory suggesting that the expectations of  
authority figures influence subordinate performance. Cogan (2020) established that supervisors who  
communicate high expectations and offer corresponding support elicit improved instructional commitment and  
delivery among teachers. This implies that supervisory orientations grounded in transformational and  
participative approaches may enhance teacher performance, as reflected in IPCRF evaluations.  
Existing studies further corroborate that teacher performance is shaped by multiple factors including  
motivation, supervisory competence, and leadership style (Sijabat et al., 2022; Rahabav & Rumfot, 2020).  
Wahyuni (2020) emphasized that academic supervision by principals significantly enhances teacher  
performance, while Wasito et al. (2021) linked effective supervision to improved student learning outcomes.  
Salikurnima (2020) also found that principal supervision and job satisfaction jointly predict teacher  
performance. Collectively, these studies confirm that supervision is integral to instructional success but  
underscore the need to differentiate the specific behavioral orientations that yield the strongest effects.  
Within the Philippine context, several recent studies highlight similar trends. Quilala and Tantiado (2025)  
observed a positive correlation between instructional supervision and teacher self-efficacy, while Daigon and  
Alcopra (2024) reported that pre-observation and feedback practices contributed significantly to teaching  
effectiveness. Balaca (2023) found that supervisory competence, though indirectly related to performance,  
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enhanced teacher self-efficacy in Eastern Visayas. Oliveros (2025) identified instructional management as the  
most influential supervisory practice affecting performance, though the study employed the PPST rather than  
IPCRF as the evaluative tool. Meanwhile, Ongcoy and Guhao Jr. (2025) demonstrated that collaborative and  
transformational leadership strongly correlated with teachers’ pedagogical competence, reinforcing the  
predictive potential of these orientations.  
Despite these valuable insights, empirical gaps remain. Few investigations explicitly examine directive,  
collaborative, transformational, and nondirective supervisory orientations as predictors of teacher performance.  
Furthermore, existing studies seldom employ IPCRF-based evaluations, which constitute the official metric  
under the RPMS. This research therefore addresses a significant empirical and contextual gap by analyzing  
how supervisory behavior orientations predict instructional performance among teachers in large-type high  
schoolsa subset of institutions with unique administrative complexities, faculty diversity, and student  
populations exceeding 1,500 (Papadakis et al., 2024).  
The theoretical foundation of this study rests on three established frameworks: Hersey and Blanchard’s  
Situational Leadership Theory (1969), Glickman’s Developmental Supervision Theory (1981), and  
Transformational Leadership Theory (Burns, 1978; Bass, 1985). Situational Leadership Theory underscores  
that effective supervision depends on matching leadership style to teacher readiness, suggesting that flexibility  
in adopting directive, collaborative, or delegating orientations yields optimal results. Developmental  
Supervision Theory extends this premise by proposing that supervision should be diagnostic and adaptive,  
fostering teacher growth through directive, collaborative, and nondirective approaches. Transformational  
Leadership Theory, on the other hand, emphasizes the inspirational and motivational dimension of supervision,  
where leaders stimulate teachers to exceed expectations through intellectual stimulation, individualized  
support, and shared vision.  
Integrating these theoretical perspectives positions supervisory orientation as a multidimensional construct  
encompassing directive, collaborative, transformational, and nondirective approaches. Effective supervision  
thus emerges not as a uniform process but as a dynamic interaction between the supervisor’s orientation and  
the teacher’s professional maturity. When supervisory behavior aligns with teacher needs, it enhances  
motivation, instructional competence, and classroom performance.  
Given this theoretical and empirical backdrop, the present study investigates the predictive influence of  
supervisory behavior orientations on the instructional performance of teachers in large-type high schools. By  
employing correlational and regression analyses, it seeks to determine whether specific supervisory  
orientations significantly predict teacher performance as measured through IPCRF ratings. This inquiry is both  
timely and relevant, offering theoretical contributions to educational leadership literature and practical  
implications for enhancing supervisory training under the Department of Education’s performance  
management frameworks.  
In sum, as the education sector continues to prioritize accountability and instructional excellence,  
understanding how supervisory orientations shape teacher performance has become imperative. By addressing  
existing gaps and contextualizing findings within the Philippine SHS system, this study aims to inform  
evidence-based supervisory practices that can strengthen teaching quality and elevate overall institutional  
effectiveness.  
Statement of the Problem  
This study examined the correlation and predictive influence of supervisory behavior orientations on the  
instructional performance of teachers in large-type high schools, as reflected in their Individual Performance  
Commitment and Review Form (IPCRF) ratings. Specifically, it sought to answer the following questions:  
1. What supervisory behavior orientations were practiced by school heads in large-type high schools, as  
perceived by teachers?  
2. What were the IPCRF ratings of teachers in large-type high schools?  
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3. Was there a significant correlation between supervisory behavior orientations and the IPCRF ratings of  
teachers in large-type high schools?  
4. Which supervisory behavior orientations significantly predicted the IPCRF ratings of teachers in  
large-type high schools based on multiple regression analysis?  
Hypotheses of the Study  
Null Hypotheses (H₀):  
HO1 - There is no significant correlation between supervisory behavior orientations and the IPCRF ratings of  
teachers in large-type high schools.  
HO2 - Supervisory behavior orientations do not significantly predict the IPCRF ratings of teachers in large-type  
high schools.  
Significance of the Study  
The findings of this study yielded valuable insights that guided educational leaders, policymakers, and  
practitioners in enhancing teacher performance through evidence-based supervisory practices in large-type high  
schools. The study provided meaningful implications for several key stakeholders within the educational  
system:  
School Heads. The results of this study provided empirical evidence on the supervisory behavior orientations  
most positively associated with teachers’ instructional performance, as measured by their Individual  
Performance Commitment and Review Form (IPCRF) ratings. These findings enabled school leaders to refine  
their supervisory strategies, strengthen teaching effectiveness, improve school-wide instructional quality, and  
foster a culture of professional growth.  
Teachers. By identifying supervisory approaches statistically linked to higher IPCRF ratings, the study helped  
teachers better understand how to respond to and benefit from various supervisory interactions. It also  
empowered them to seek and advocate for supervisory support that aligned with their professional development  
needs and performance objectives.  
DepEd Policymakers and Regional/Division Leaders. The findings offered valuable input for enhancing  
existing policies on instructional supervision and performance evaluation under the Results-Based Performance  
Management System (RPMS). As the Department of Education worked toward improving supervisory  
frameworks and capacity-building programs, the study’s evidence-based insights supported policy decisions  
that aligned supervision practices with teacher effectiveness standards and the Philippine Professional  
Standards for Teachers (PPST).  
Future Researchers. This study contributed to the growing body of literature on instructional supervision in  
the Philippine education context, particularly within large-type high schools. It advanced scholarship by  
examining supervisory behavior orientations as predictors of teacher performance using standardized metrics  
such as the IPCRF. Future researchers may build on this work by exploring longitudinal impacts, conducting  
comparative studies across school types, or designing interventions grounded in effective supervisory  
approaches.  
In sum, this research significantly influenced supervisory practices, enriched performance evaluation strategies,  
and contributed to the professionalization of both school leadership and teaching practice in basic education.  
Scope and Delimitation  
This study was conducted among selected public senior high school teachers teaching Science, Technology,  
Engineering, and Mathematics (STEM) in the Division of Borongan City during the academic year 20252026.  
The study was conducted exclusively at Eastern Samar National Comprehensive High School (ESNCHS)  
because it is the only secondary school in the division categorized as a large-type high school. The study  
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specifically examined the predictive relationship between supervisory behavior orientationsdirective (task-  
oriented), collaborative (people-oriented), transformational (supportive), and nondirective (autonomous)and  
the instructional performance of senior high school teachers as measured through their Individual Performance  
Commitment and Review Form (IPCRF) ratings.  
The investigation was limited to the supervisory orientations mentioned and did not consider other possible  
determinants of instructional performance, such as school resources, personal teacher characteristics, or the  
broader organizational environment. Although these variables may have had an influence, they were  
deliberately excluded to maintain the study’s focus on the predictive capacity of supervisory styles alone.  
Data were collected through teacher-perception surveys and the standardized IPCRF evaluation tool. The  
analysis identified which supervisory behavior orientations significantly predicted instructional performance  
within the framework of the Department of Education’s evaluation system in the Division of Borongan City.  
Definition of Terms  
This section presents and clarifies the key terminologies used in the study. The definitions are provided to  
establish a clear and common understanding of the concepts that are essential to the investigation and to avoid  
ambiguity in their interpretation.  
Supervisory Behavior Orientations. These refer to the distinct supervisory styles or approaches exhibited by  
school heads in overseeing and guiding teachers. In this study, supervisory orientations are classified into four  
categories: directive (task-oriented), collaborative (people-oriented), transformational (supportive), and  
nondirective (autonomous), based on the degree of control, participation, and support provided in the  
supervisory process.  
Directive/Task-Oriented Supervision. This type of supervision is characterized by high levels of structure,  
close monitoring of teacher activities, clear expectations, and prescriptive instructions. School heads using this  
style tend to maintain control and ensure that teachers adhere strictly to established standards and procedures.  
Collaborative/People-Oriented Supervision. This approach emphasizes mutual respect, teamwork, and shared  
decision-making between supervisors and teachers. It fosters a participatory environment where input from  
teachers is valued, and professional relationships are nurtured to enhance instructional outcomes.  
Transformational/Supportive Supervision. A supervisory orientation centered on motivating and empowering  
teachers through vision-setting, inspiration, and sustained encouragement. It supports teacher growth by  
focusing on individualized professional development, trust-building, and continuous improvement.  
Nondirective/Autonomous Supervision. This supervisory style grants teacher’s substantial independence in  
their instructional practices. It is marked by minimal supervisory interference, allowing teachers to exercise  
discretion and self-direction in achieving performance goals.  
Instructional Performance. Defined in this study as the level of teaching effectiveness demonstrated by senior  
high school teachers, as evidenced by their ratings in the Individual Performance Commitment and Review  
Form (IPCRF). It reflects the extent to which teachers meet performance indicators set under the Department of  
Education’s Results-Based Performance Management System (RPMS).  
IPCRF Rating. A standardized quantitative measure used to assess teacher performance. It is derived from  
both self-assessment and supervisor evaluation based on specific Key Result Areas (KRAs) and objectives  
outlined in the RPMS. The rating represents a teacher’s success in fulfilling instructional and professional  
responsibilities for a given school year.  
Research Paradigm  
The conceptual framework illustrates a linear relationship wherein the supervisory behavior orientations of  
school heads are posited to predict the instructional performance of STEM teachers in large-type public high  
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school. It emphasizes that effective supervision—when aligned with teachers’ competence, motivation, and  
contextual needsenhances teaching quality, learning outcomes, and professional growth. This framework is  
anchored on Hersey and Blanchard’s Situational Leadership Theory, Glickman’s Developmental Supervision  
Theory, and Transformational Leadership Theory, which collectively affirm that adaptive, supportive, and  
motivational supervisory practices foster higher teacher performance. Accordingly, this study investigates how  
the four supervisory orientationsdirective, collaborative, transformational, and non-directiveserve as  
significant predictors of teachers’ instructional performance as reflected in their Individual Performance  
Commitment and Review Form (IPCRF) ratings during the school year 2026-2027.  
Conceptual Framework  
Independent Variable  
Dependent Variable  
Types of Supervisory  
Behavior Orientations  
Instructional Performance of  
Large-type High School  
Teachers  
(Directive, Transformational,  
Collaborative, Non-directive)  
Figure 1. The schematic diagram representing the research paradigm of the study.  
METHODOLOGY  
This chapter presents the methods and procedures utilized in carrying out the study. It discusses the research  
design, setting, participants, research instruments, data collection process, and statistical techniques applied to  
examine the relationship and predictive impact of supervisory behavior orientations on teachers’ instructional  
performance.  
Research Design  
This study employed a quantitative-correlational research design with the use of regression analysis to examine  
the relationship and predictive influence of supervisory behavior orientations on teachers’ instructional  
performance. The quantitative method was considered suitable as it enabled the researcher to gather  
measurable data and apply statistical analysis to determine relationships between variables. Correlational  
research is valuable when the goal is to assess the extent and direction of association between two or more  
variables without altering them. In this research, the independent variable referred to the supervisory behavior  
orientations of school heads as perceived by teachers, while the dependent variable represented the  
instructional performance of teachers based on their Individual Performance Commitment and Review Form  
(IPCRF) ratings. Regression analysis was utilized to identify which supervisory behavior orientations served as  
the best predictors of teachers’ instructional performance. This design was deemed appropriate since it  
provided a systematic and objective means to quantify relationships among variables and statistically test the  
proposed hypotheses.  
Locale of the Study  
The study was conducted at Eastern Samar National Comprehensive High School (ESNCHS), situated in  
Borongan City, Eastern Samar. ESNCHS is recognized as the only large-type public secondary school in the  
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city, with a student population exceeding 2,000 learners across Junior and Senior High School levels. The  
school offers several academic tracks under the K12 curriculum, including the Science, Technology,  
Engineering, and Mathematics (STEM) strand, which is known for its academic rigor and emphasis on  
performance-based learning.  
ESNCHS was chosen as the locale of the study because it embodies the characteristics of a large and structured  
educational institution where supervisory practices are systematically implemented and teacher performance is  
regularly evaluated. The presence of formalized supervisory mechanisms, such as classroom observations,  
mentoring sessions, and performance appraisals through the Individual Performance Commitment and Review  
Form (IPCRF), makes ESNCHS an ideal setting for examining how various supervisory behavior orientations  
influence teachers’ instructional performance.  
Moreover, the school’s size and diversity of faculty provide a rich context for analyzing the relationship  
between supervision and performance. In particular, the Science, Mathematics, and STEM faculty operate  
under close academic supervision to maintain the high instructional standards expected in science and  
mathematics education. This makes the school a suitable venue for exploring the predictive influence of  
supervisory behavior orientations on the instructional effectiveness of teachers in a large-type public high  
school environment.  
Respondents of the Study  
The respondents of this study comprised 45 teachers from Eastern Samar National Comprehensive High  
School (ESNCHS), representing the Science, Mathematics, and STEM departments during the School Year  
2025-2026. These respondents were selected through purposive sampling, as they are directly engaged in  
teaching academic subjects that demand high instructional competence and are subject to formal supervision  
and evaluation processes aligned with the Department of Education’s standards.  
The inclusion of Science, Mathematics, and STEM teachers was deliberate to ensure a broader and more  
comprehensive understanding of supervisory dynamics within a large-type school. Each respondent had  
undergone standard classroom supervision, performance monitoring, and IPCRF-based evaluation, ensuring  
that the data collected reflected both the supervisors’ behavioral orientations and the teachers’ performance  
outcomes.  
Purposive sampling was deemed appropriate because it allowed the researcher to target participants who could  
provide the most relevant and accurate information regarding the link between supervisory behavior  
orientations and instructional performance. The relatively large number of respondents (n = 45) enhanced the  
reliability and generalizability of the findings, providing a solid basis for statistical analyses such as correlation  
and regression tests.  
Research Instrument  
Two main instruments were utilized to gather the necessary data for the study. The first instrument was the  
Supervisory Behavior Orientation Questionnaire, which measured the types and levels of supervisory behavior  
orientations practiced by the school heads as perceived by the teachers. The instrument was adapted from  
established frameworks, particularly Glickman’s Supervisory Behavior Continuum, which categorizes  
supervisory orientations into directive, collaborative, and nondirective types. The questionnaire was modified  
to fit the context of ESNCHS and the nature of the supervision process within the Department of Education. It  
contained items designed to capture how teachers perceive their supervisors’ approaches in providing guidance,  
feedback, and support for instructional improvement. The second instrument was the Individual Performance  
Commitment and Review Form (IPCRF), which served as the basis for determining the instructional  
performance ratings of teachers. The IPCRF is a standardized evaluation tool used by the Department of  
Education to assess teachers’ performance across several Key Result Areas (KRAs), such as content  
knowledge, teaching-learning process, and professional growth. The IPCRF ratings were obtained from  
authorized school records with prior approval from the school head and treated with strict confidentiality. To  
ensure the validity and reliability of the research instrument, the questionnaire underwent content validation by  
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a panel of experts in educational management and supervision. A pilot test was conducted among teachers  
outside the Science, Mathematics, and STEM faculty, and the reliability coefficient was computed using  
Cronbach’s alpha, confirming that the items were consistent and reliable for data collection.  
Data Gathering Procedures  
Before the actual data collection, the researcher obtained formal approval from the Principal of Eastern Samar  
National Comprehensive High School (ESNCHS) to conduct the study within the school. Once authorization  
was granted, the researcher coordinated with the Science, Mathematics, and STEM faculty members to explain  
the study’s purpose, objectives, and ethical considerations. Participants were informed that their involvement  
was voluntary, their responses would remain strictly confidential, and the gathered data would be used solely  
for academic and research purposes.  
The Supervisory Behavior Orientation Questionnaire was then administered to forty-five (45) teachers from the  
three departments. Sufficient time was provided for the respondents to complete the instrument. The researcher  
personally facilitated both the distribution and retrieval of the questionnaires and was available to address any  
questions to ensure the accuracy and completeness of responses.  
After collecting the accomplished questionnaires, all data were carefully encoded, organized, and tabulated for  
statistical analysis. The Individual Performance Commitment and Review Form (IPCRF) ratings of each  
respondent were also obtained from authorized school personnel to serve as the quantitative indicator of  
instructional performance. Throughout the data-gathering process, the researcher adhered to ethical research  
standards, ensuring anonymity, confidentiality, and data integrity. All collected data were securely stored and  
analyzed objectively to generate valid and reliable research results.  
Analysis of Data  
The data gathered from the completed questionnaires and IPCRF records were analyzed using both descriptive  
and inferential statistical methods. To describe the supervisory behavior orientations and teachers’ instructional  
performance, the mean and standard deviation were calculated. These statistical measures summarized how  
supervisory behaviors were perceived and how teachers performed based on their IPCRF ratings. To determine  
the presence of a statistically significant relationship between supervisory behavior orientations and teachers’  
IPCRF ratings, the Pearson Product-Moment Correlation Coefficient (r) was utilized, measuring the strength  
and direction of their relationship.  
Moreover, multiple regression analysis was conducted to identify which specific supervisory behavior  
orientations significantly predicted teachers’ instructional performance. This statistical procedure enabled the  
researcher to assess both the collective and individual predictive effects of the supervisory behavior  
orientations on instructional performance. A 0.05 level of significance was set as the criterion for accepting or  
rejecting the null hypotheses, ensuring that the findings were statistically valid and supported by empirical  
data.  
Ethical Consideration  
This research was conducted in full compliance with ethical standards for educational studies. Informed  
consent was secured from all participants before data collection, ensuring they were fully aware of the study’s  
purpose, the voluntary nature of their participation, and their right to withdraw at any time without  
consequence. Confidentiality and anonymity were maintained by assigning codes instead of names to  
respondents, and all data were utilized exclusively for research purposes. Access to IPCRF ratings was  
obtained only after receiving formal approval from the school administration, with all information handled with  
utmost care and respect for privacy.  
The researcher further guaranteed that the findings were presented objectively and without bias, emphasizing  
their use in enhancing supervisory practices and instructional performance at ESNCHS rather than for  
evaluative or disciplinary purposes. These ethical measures safeguarded the study’s credibility, integrity, and  
respect for the rights and dignity of all participants.  
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RESULTS AND DISCUSSION  
This chapter presents the results of the study based on the data collected which were analyzed and interpreted  
using the appropriate statistical tool. This section presents the analysis of the data gathered from forty-five (45)  
Science, Mathematics, and STEM teachers at Eastern Samar National Comprehensive High School (ESNCHS)  
regarding the supervisory behavior orientations of their immediate supervisors and their corresponding  
instructional performance ratings (IPCRF) for the recent school year. The study aimed to determine the  
correlation and predictive influence of supervisory behavior orientationsdirective, collaborative,  
transformational, and nondirective—on teachers’ instructional performance.  
Descriptive Statistics of Supervisory Behavior Orientations and Instructional Performance  
Table 1 displays the descriptive statistics for the four supervisory behavior orientations and teachers’  
instructional performance. The data show consistently high mean scores across all orientations, indicating that  
supervisors at ESNCHS are perceived to exhibit these behaviors frequently.  
Table 1: Descriptive Statistics of Supervisory Behavior Orientations  
Supervisory Behavior Orientation  
Directive Orientation  
Collaborative Orientation  
Transformational Orientation  
Nondirective Orientation  
Mean  
4.047  
4.478  
4.614  
4.436  
Standard Deviation  
Interpretation  
Often / Agree  
Always / Strongly Agree  
Always / Strongly Agree  
Always / Strongly Agree  
0.570  
0.489  
0.446  
0.440  
The interpretation of the mean scores for the supervisory behavior orientations followed the five-point Likert  
scale used in the questionnaire. The interval width for each category was determined using the following  
formula:  
Interval Width = (Highest Scale Value Lowest Scale Value) / Number of Categories  
Substituting the values from the five-point scale:  
Interval Width = (5 − 1) / 5  
Interval Width = 4 / 5 = 0.80  
Using this interval width, the mean scores were interpreted as follows:  
4.21 5.00 : Always  
3.41 4.20 : Often  
2.61 3.40 : Sometimes  
1.81 2.60 : Rarely  
1.00 1.80 : Never  
Based on Table 1, directive supervisory orientation obtained a mean score of 4.047 with a standard deviation of  
0.570. This mean falls within the range 3.41 – 4.20, which corresponds to the interpretation “Often.” This  
indicates that directive supervisory practices are frequently demonstrated by school heads in large-type high  
schools as perceived by teachers.  
Collaborative supervisory orientation obtained a mean score of 4.478 with a standard deviation of 0.489. This  
value falls within the range 4.21 – 5.00, which corresponds to the interpretation “Always.” This suggests that  
school heads consistently practice collaborative supervisory behaviors such as involving teachers in decision-  
making and encouraging teamwork.  
Transformational supervisory orientation recorded a mean score of 4.614 with a standard deviation of 0.446,  
which also falls within the range 4.21 5.00, interpreted as “Always.” This indicates that school heads strongly  
demonstrate transformational supervisory behaviors by motivating teachers, encouraging innovation, and  
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supporting professional development.  
Similarly, nondirective supervisory orientation obtained a mean score of 4.436 with a standard deviation of  
0.440, which is likewise within the range 4.21 – 5.00, interpreted as “Always.” This suggests that school heads  
frequently allow teachers autonomy in their instructional practices and encourage professional independence.  
Overall, the results indicate that supervisory behavior orientations are practiced at a high level among school  
heads in large-type high schools, with transformational orientation obtaining the highest mean score, followed  
by collaborative and nondirective orientations, while directive orientation is still frequently practiced but at a  
slightly lower level compared to the other supervisory orientations.  
These findings resonate with recent research indicating that post-pandemic supervision emphasizes motivation  
and adaptability. De Guzman and David (2024) found that supportive supervision practices significantly  
enhance teacher performance and morale, while Flores and Asuncion (2023) confirmed that transformational  
leadership behaviors improve professional growth and classroom effectiveness. Collectively, these results  
indicate that ESNCHS supervisors exhibit a balanced mix of leadership approaches that positively influence  
teaching outcomes.  
Instructional Performance of Teachers based on IPCRF  
Table 2 presents the descriptive statistics for the IPCRF ratings of teachers in large-type high schools.  
Table 2. Descriptive Statistics of Teachers’ IPCRF Ratings  
Variable  
Mean  
Standard Deviation  
Interpretation  
Teachers’ IPCRF Rating  
4.614  
0.121  
Outstanding  
The teachers’ IPCRF ratings obtained a mean score of 4.614 with a standard deviation of 0.121. Based on the  
Department of Education (DepEd) performance rating scale, this mean value falls within the range  
corresponding to the interpretation “Outstanding.”  
This result indicates that teachers in large-type high schools demonstrate an excellent level of instructional  
performance. The relatively small standard deviation suggests that the teachers’ performance ratings are highly  
consistent across the respondents, indicating minimal variation in the IPCRF ratings.  
Overall, the findings imply that teachers in large-type high schools maintain a very high level of instructional  
performance as reflected in their IPCRF ratings.  
Correlation between Supervisory Behavior Orientations and Teachers’ IPCRF Ratings  
Table 3. Pearson Correlation between Supervisory Behavior Orientations and Teachers’ IPCRF Ratings  
Variables Compared  
Pearson r p-value  
Significance Relationship  
(α = 0.05)  
Directive Orientation vs. IPCRF Rating  
0.602  
0.297  
0.399  
0.308  
0.0000120034 Significant  
Strong Positive  
Collaborative Orientation vs. IPCRF Rating  
Transformational Orientation vs. IPCRF Rating  
Nondirective Orientation vs. IPCRF Rating  
0.0474677  
0.00669422  
0.0396218  
Significant  
Significant  
Significant  
Weak Positive  
Weak Positive  
Weak Positive  
At the 0.05 level of significance (α = 0.05), the Pearson correlation analysis revealed a strong positive and  
statistically significant linear association between directive supervisory orientation and teachers’ IPCRF ratings  
(r = 0.602, p < 0.05). This indicates that higher levels of directive supervisory orientation are associated with  
higher IPCRF ratings.  
A weak positive but statistically significant linear association was found between collaborative supervisory  
orientation and teachers’ IPCRF ratings (r = 0.297, p < 0.05), suggesting that higher levels of collaborative  
Page 1637  
supervisory orientation are associated with slightly higher IPCRF ratings.  
Similarly, transformational supervisory orientation showed a weak positive and statistically significant linear  
association with teachers’ IPCRF ratings (r = 0.399, p < 0.05), implying that higher levels of transformational  
supervisory orientation tend to be associated with higher IPCRF ratings.  
In the same way, nondirective supervisory orientation exhibited a weak positive and statistically significant  
linear association with teachers’ IPCRF ratings (r = 0.308, p < 0.05), indicating that higher levels of  
nondirective supervisory orientation are associated with slightly higher IPCRF ratings.  
To determine whether supervisory behavior orientations are significantly correlated with teachers’ IPCRF  
ratings, the following hypotheses were tested:  
H₀: ρ = 0  
H₁: ρ ≠ 0  
The null hypothesis (H₀) states that there is no significant linear association between supervisory behavior  
orientations and teachers’ IPCRF ratings.  
The alternative hypothesis (H₁) states that there is a significant linear association between supervisory behavior  
orientations and teachers’ IPCRF ratings.  
The hypotheses were tested at the 0.05 level of significance (α = 0.05). Based on the Pearson correlation  
results, the null hypothesis stating that there is no significant linear association between supervisory behavior  
orientations and teachers’ IPCRF ratings is rejected.  
The findings revealed that directive, collaborative, transformational, and nondirective supervisory orientations  
are each significantly correlated with teachers’ IPCRF ratings at the 0.05 level of significance.  
Multiple Regression Analysis  
Multiple regression analysis examines how several independent variables jointly explain variation in a  
dependent variable. In this study, multiple regression was used to determine whether different supervisory  
behavior orientations significantly predict teachers’ instructional performance as reflected in their IPCRF  
ratings.  
In this study:  
Dependent Variable (Y):  
Y = IPCRF Rating  
Independent Variables (Predictors):  
X₁ = Directive Orientation  
X₂ = Collaborative Orientation  
X₃ = Transformational Orientation  
X₄ = Nondirective Orientation  
Regression analysis determines the following:  
1. Which supervisory orientations significantly predict teachers’ IPCRF ratings.  
2. The strength and direction of each predictor.  
3. The proportion of variation in IPCRF ratings explained by the predictors.  
Page 1638  
The Regression Model  
The multiple regression model used in the study is expressed as:  
Y = β₀ + β₁X₁ + β₂X₂ + β₃X₃ + β₄X₄ + ε  
Where:  
Y = dependent variable  
X₁, X₂, X₃, X₄ = predictor variables  
β₀ = intercept  
β₁, β₂, β₃, β₄ = regression coefficients  
ε = random error term  
In this study:  
Y = IPCRF rating  
X₁ = Directive supervisory orientation  
X₂ = Collaborative supervisory orientation  
X₃ = Transformational supervisory orientation  
X₄ = Nondirective supervisory orientation  
Model in Terms of the Study Variables  
Using the variables in the dataset, the regression model can be expressed as:  
**IPCRF = β₀ + β₁ (Directive Orientation)  
β₂ (Collaborative Orientation)  
β₃ (Transformational Orientation)  
β₄ (Nondirective Orientation) + ε**  
Hypotheses for Multiple Regression  
To determine whether supervisory behavior orientations significantly predict teachers’ instructional  
performance as measured by their IPCRF ratings, the following hypotheses were tested:  
H₀: β₁ = β₂ = β₃ = β₄ = 0  
H₁: At least one βᵢ ≠ 0  
The null hypothesis (H₀) states that supervisory behavior orientations do not significantly predict teachers’  
instructional performance as measured by their IPCRF ratings.  
The alternative hypothesis (H₁) states that at least one supervisory behavior orientation significantly predicts  
teachers’ instructional performance. The hypotheses were tested at the 0.05 level of significance (α = 0.05).  
Multiple regression analysis was conducted to determine whether supervisory behavior orientations  
significantly predict teachers’ instructional performance as measured by their IPCRF ratings.  
The predictors included directive orientation (X₁), collaborative orientation (X₂), transformational orientation  
(X₃), and nondirective orientation (X₄), while the dependent variable was the IPCRF rating (Y).  
Page 1639  
Table 4. Multiple Regression Analysis Predicting Teachers’ IPCRF Ratings  
Predictor  
Intercept  
Directive Orientation  
Collaborative Orientation  
Transformational Orientation  
Nondirective Orientation  
B Coefficient  
4.225  
0.225  
-0.267  
0.158  
Std. Error  
0.144  
0.041  
0.072  
0.082  
t-value  
29.335  
5.521  
-3.715  
1.930  
p-value  
< 0.001  
< 0.001  
< 0.001  
0.06067  
0.77902  
-0.013  
0.045  
-0.282  
The multiple regression analysis was conducted to determine whether supervisory behavior orientations  
significantly predict teachers’ instructional performance as measured by their IPCRF ratings. The predictors  
included directive orientation, collaborative orientation, transformational orientation, and nondirective  
orientation.  
The estimated regression equation derived from the analysis is:  
**IPCRF = 4.225 + 0.225 (Directive Orientation)  
0.267 (Collaborative Orientation)  
0.158 (Transformational Orientation)  
0.013 (Nondirective Orientation) **  
The regression coefficients represent the expected change in teachers’ IPCRF ratings for a one-unit increase in  
each supervisory behavior orientation, holding the other predictors constant.  
Directive supervisory orientation was found to have a positive and statistically significant effect on teachers’  
IPCRF ratings (B = 0.225, p < 0.05). This indicates that an increase of one unit in directive supervisory  
orientation is associated with an increase of approximately 0.225 units in teachers’ IPCRF ratings, holding the  
other supervisory orientations constant.  
Collaborative supervisory orientation also exhibited a statistically significant relationship with teachers’ IPCRF  
ratings (B = −0.267, p < 0.05). The negative coefficient indicates that, after controlling for the other  
supervisory orientations, higher levels of collaborative orientation are associated with lower IPCRF ratings.  
In contrast, transformational supervisory orientation did not significantly predict teachers’ IPCRF ratings (B =  
0.158, p > 0.05). Although the coefficient suggests a positive relationship, the effect was not statistically  
significant at the 0.05 level of significance.  
Similarly, nondirective supervisory orientation was not found to be a significant predictor of teachers’ IPCRF  
ratings (B = −0.013, p > 0.05). This indicates that variations in nondirective orientation do not significantly  
influence teachers’ instructional performance when the other supervisory orientations are considered.  
Based on the regression results, the null hypothesis stating that supervisory behavior orientations do not  
significantly predict teachers’ IPCRF ratings is rejected. The analysis indicates that supervisory behavior  
orientations collectively predict teachers’ instructional performance, with directive and collaborative  
orientations emerging as statistically significant predictors.  
Overall, the findings suggest that supervisory behavior orientations have varying effects on teachers’  
instructional performance in large-type high schools. Directive orientation significantly and positively predicts  
teachers’ IPCRF ratings, while collaborative orientation shows a statistically significant negative partial  
association with instructional performance. In contrast, transformational and nondirective orientations were not  
found to significantly predict teachers’ IPCRF ratings when the other supervisory orientations were considered  
in the model.  
Page 1640  
The strong correlation and predictive influence of directive confirm the complementary nature of this approach.  
Directive supervision provides clear expectations and feedback. These findings reinforce the conclusions of  
Rahman and Khalid (2024) and Huang et al. (2024), who reported that effective leadership merges clear  
direction with inspiration to sustain teacher productivity and innovation.  
The results also reflect the Instructional Leadership Theory proposed by Hallinger (2011), which emphasizes  
that supervision combining clarity, collaboration, and professional support leads to improved instructional  
performance. Locally, De Guzman and David (2024) and Ramos and Pineda (2023) observed that teachers  
under supervisors who apply directive and transformational practices demonstrate higher motivation and  
instructional competence.  
In large-type schools like ESNCHS, such leadership balance is particularly important. Given the size and  
diversity of the teaching staff, supervisors must employ directive clarity to ensure consistency. The findings  
thus emphasize the necessity of adaptive supervisory practices that integrate structure with empathy and  
empowerment.  
The findings of the study suggest that directive supervisory orientation, which demonstrated the strongest  
positive relationship with teachers’ instructional performance, should be strengthened as a key supervisory  
practice. This indicates that clear guidance, structured supervision, and explicit instructional support from  
school heads may significantly contribute to improving teachers’ performance as reflected in their IPCRF  
ratings. Moreover, transformational supervisory orientation, which also showed a significant positive  
relationship with instructional performance, should likewise be reinforced because of its role in motivating  
teachers, encouraging professional growth, and fostering innovation in instructional practices.  
Although collaborative and nondirective supervisory orientations exhibited relatively weaker correlations with  
teachers’ IPCRF ratings, they remain important supervisory approaches that support teacher autonomy,  
professional reflection, and shared accountability in the school environment. Encouraging these supervisory  
behaviors can help create a more participatory and supportive school culture that enhances teachers’  
engagement and professional development.  
Therefore, supervisory training programs for school leaders should aim to develop the capacity to strategically  
integrate multiple supervisory orientations, enabling them to adapt their supervisory approaches according to  
the needs of teachers and the demands of the instructional context. Future research may also consider  
incorporating additional variables such as teachers’ years of experience, workload, and school climate, which  
may further explain variations in instructional performance and provide a more comprehensive understanding  
of supervisory effectiveness across different educational settings.  
SUMMARY, CONCLUSION AND RECOMMENDATION  
This chapter summarizes the nature, the procedures, and the findings of the study. It further presents relevant  
conclusion and recommendations.  
Summary  
This study examined the relationship and predictive influence of supervisory behavior orientations on teachers’  
instructional performance, as reflected in their Individual Performance Commitment and Review Form  
(IPCRF) ratings. The study was conducted at Eastern Samar National Comprehensive High School (ESNCHS),  
the only large-type secondary school in the Division of Borongan City. The respondents consisted of 45  
teachers from the Science, Mathematics, and STEM departments.  
A descriptive-correlational research design was employed to determine the supervisory behavior orientations  
demonstrated by school heads, the level of teachers’ instructional performance, and the relationship and  
predictive influence between these variables. Data were analyzed using descriptive statistics, Pearson  
correlation analysis, and multiple regression analysis.  
Page 1641  
The first research question sought to determine the supervisory behavior orientations demonstrated by school  
heads as perceived by teachers. The results revealed that supervisory behavior orientations were practiced at a  
high level. Transformational supervisory orientation obtained the highest mean score, followed by  
collaborative and nondirective orientations, all interpreted as “Always.” Meanwhile, directive supervisory  
orientation obtained a slightly lower mean score but was still interpreted as “Often.” These findings suggest  
that school heads frequently demonstrate supervisory behaviors that encourage motivation, collaboration, and  
teacher autonomy while still providing structured guidance when necessary.  
The second research question aimed to determine the level of teachers’ instructional performance based on  
their IPCRF ratings. The results showed that teachers obtained a mean IPCRF rating of 4.614, which  
corresponds to the interpretation “Outstanding.” This finding indicates that teachers in the school demonstrate a  
very high level of instructional performance. Furthermore, the relatively small standard deviation suggests that  
teachers’ performance ratings are highly consistent, indicating minimal variation in instructional performance  
among the respondents.  
The third research question examined the relationship between supervisory behavior orientations and teachers’  
IPCRF ratings. The Pearson correlation analysis revealed that all supervisory orientationsdirective,  
collaborative, transformational, and nondirective—were significantly correlated with teachers’ instructional  
performance at the 0.05 level of significance. Among the four orientations, directive supervisory orientation  
showed the strongest positive relationship with teachers’ IPCRF ratings, while collaborative, transformational,  
and nondirective orientations exhibited weak but statistically significant positive relationships. These findings  
suggest that supervisory practices are associated with teachers’ level of instructional performance.  
The fourth research question determined whether supervisory behavior orientations significantly predict  
teachers’ instructional performance. The multiple regression analysis revealed that directive supervisory  
orientation positively and significantly predicts teachers’ IPCRF ratings, indicating that structured guidance  
and supervision from school heads contribute to improved instructional performance. Collaborative  
supervisory orientation was also found to be a statistically significant predictor, although it showed a negative  
partial coefficient when the other supervisory orientations were controlled. In contrast, transformational and  
nondirective supervisory orientations were not found to significantly predict teachers’ IPCRF ratings in the  
regression model. These findings indicate that while supervisory orientations are generally associated with  
instructional performance, their predictive influence varies when analyzed simultaneously.  
Conclusion  
Based on the findings of the study, the following conclusions were drawn:  
1. School heads in large-type high schools demonstrate supervisory behavior orientations at a high level,  
particularly transformational, collaborative, and nondirective orientations.  
2. Teachers in the school exhibit an outstanding level of instructional performance, as reflected in their  
IPCRF ratings.  
3. Supervisory behavior orientations are significantly associated with teachers’ instructional performance,  
indicating that effective supervision contributes to improved teaching outcomes.  
4. Directive supervisory orientation is the strongest predictor of teachers’ instructional performance,  
suggesting that clear guidance, structured supervision, and direct instructional support from school  
heads play an important role in enhancing teacher performance.  
5. Collaborative supervisory orientation also significantly predicts instructional performance, although its  
partial regression coefficient indicates a negative relationship when other supervisory orientations are  
considered simultaneously.  
6. Transformational and nondirective supervisory orientations do not significantly predict teachers’  
instructional performance in the regression model, suggesting that their influence may operate  
indirectly or in combination with other supervisory practices.  
Page 1642  
Recommendations  
Considering the conclusions drawn, the following recommendations are proposed:  
1. School heads should strengthen directive supervisory practices that provide clear instructional  
guidance, feedback, and structured support to teachers in order to enhance instructional performance.  
2. Supervisors should continue to promote collaborative supervisory practices, such as shared decision-  
making and professional dialogue, while ensuring that these practices are balanced with effective  
instructional monitoring.  
3. Educational leaders and administrators should provide professional development programs that enhance  
school heads’ competencies in applying different supervisory orientations appropriately depending on  
teachers’ needs and instructional contexts.  
4. Teachers should actively engage in supervisory processes, including feedback sessions, instructional  
coaching, and collaborative professional learning activities that can further enhance their teaching  
effectiveness.  
5. Future researchers may include additional variables such as teachers’ years of experience, workload,  
school climate, leadership style, and professional development opportunities in order to further explore  
the factors that influence teachers’ instructional performance.  
6. Similar studies may also be conducted in other schools or divisions with larger sample sizes to validate  
and expand the findings of this study.  
PROPOSED UTILIZATION/DISSEMINATION ACTIVITIES EMANATING FROM  
RESULTS OF THE STUDY  
Potential  
Adopters  
Objective  
Strategies  
Responsible  
Persons  
Expected  
Output  
Proof  
Utilization  
of Monitoring  
/
Beneficiaries  
1. To disseminate  
the results of the  
Enhanced  
awareness of  
effective  
supervisory  
practices  
Conduct a school- Researcher, ESNCHS  
Attendance  
sheet,  
presentation  
materials  
Post-  
presentation  
feedback and  
based  
presentation School Head teachers  
discussion of  
and  
study  
to  
school  
and  
administrators  
administrators and  
teachers  
research findings  
evaluation form  
2.  
To  
integrate Conduct  
a School  
Head,  
Department teachers,  
School heads, Strengthened Workshop  
master supervision program,  
and aligned with evaluation  
Classroom  
observation  
reports  
reflecting  
improved  
supervision  
effective  
supervisory  
behavior  
orientations  
existing supervision transformational  
supervisory  
enhancement  
workshop  
focusing Heads  
and  
subject  
coordinators  
research  
findings  
reports  
into on  
directive  
approaches  
practices  
3. To  
teachers to apply  
insights from the  
encourage  
Sharing  
practices  
Learning Action Cell Teacher  
of  
best Department ESNCHS  
Improved  
LAC minutes, IPCRF  
ratings  
plans, and monitoring  
reports  
through Heads,  
teaching staff instructional action  
strategies and reflection  
study  
in  
their  
(LAC) sessions  
Leaders  
teacher  
papers  
instructional  
practices  
performance  
4.  
To  
promote Incorporate findings Principal,  
School  
management  
Inclusion  
data-driven  
supervisory  
policies  
of Revised  
meeting  
SIP, Annual  
performance  
review  
school  
research-based  
decision-making  
among  
into  
the  
School Research  
Improvement  
(SIP)  
Plan Coordinator team  
and  
minutes  
administrators  
performance reviews  
Page 1643  
5. To share study Present the study in Researcher  
DepEd Eastern Wider  
Certificate  
of Follow-up  
policy  
on  
or  
results  
with  
the division or regional  
Samar  
dissemination presentation,  
wider  
community  
academic research conferences  
Division  
researchers  
and educators  
of findings  
conference  
proceedings  
program  
adoption  
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Page 1645  
ACKNOWLEDGEMENT  
The researcher extends heartfelt gratitude to the Almighty, the guiding force behind every endeavor and the  
source of unwavering strength. With most profound appreciation, the researcher acknowledges the invaluable  
support and contributions of numerous individuals who have played pivotal roles in realizing this thesis.  
First and foremost, gratitude is extended to Dr. Helen C. Fuentes, whose unwavering commitment and  
guidance as the research adviser have been instrumental throughout this journey. Her expertise and willingness  
to help at any time have been truly enlightening, contributing significantly to the completion of this research,  
including the statistical analysis.  
The researcher acknowledges Dr. Hazel B. Meneses, Principal of ESNCHS, for granting permission to  
conduct the study within the school premises, and Dean Ernest Paul R. Hermano, Assistant Principal, for his  
unwavering support throughout the research process.  
Heartfelt appreciation is extended to all my colleagues, subject group head, and department heads in ESNCHS,  
particularly the STEM and Science Department, for their assistance in data gathering and continuous  
inspiration.  
The researcher acknowledges the unconditional love and support of family and loved ones, especially to my  
Mama and Papa, Merlie A. Cañete, and Edwin M. Cañete, for their unwavering care and encouragement  
throughout this endeavor.  
Their collective support and encouragement have been indispensable, and the researcher is deeply grateful for  
their unwavering belief in pursuing academic excellence. Their contributions have undoubtedly enriched the  
journey towards the fulfillment of this academic milestone.  
The Researcher  
Page 1653