1. 1
Chapter 1
THE PROBLEM AND ITS BACKGROUND
Introduction
We live in a mathematical world. Whenever we decide on a purchase, choose an
insurance or health plan, or use a spreadsheet, we rely on mathematical understanding. The
World Wide Web, CD-ROMs, and other media disseminate vast quantities of quantitative
information. The level of mathematical thinking and problem solving needed in the workplace
has increased dramatically. In such a world, those who understand and can do mathematics will
have opportunities that others do not. Mathematical competence opens doors to productive
futures. A lack of mathematical competence closes those doors. Students have different abilities,
needs, and interests. Yet everyone needs to be able to use mathematics in his or her personal life,
in the workplace, and in further study. All students deserve an opportunity to understand the
power and beauty of mathematics. Students need to learn a new set of mathematics basics that
enable them to compute accurately and to solve problems creatively and resourcefully.
It has taken such a long time to discover the importance of Mathematics in our world the
discoveries lead us to more technological or what was called Industrial Era, wherein the different
usage of technological devices occurred. In this era, application of Mathematics helps to develop
and invent such technological devices. Through these applications our life became easier.
Nowadays, Mathematics is the key to all Sciences.
Despite explaining more about mathematics and the proof that it is really important, the
students today do not like this subject. They think that the Mathematics is a boring subject, and
it’s hard to understand formulas, they always say “Why should we study Mathematics, only four
major operations are enough and the rest no longer needed. We do use graphs and formulas in
our daily living.” Only if they understand the logic behind this subject and the principles applied
in different problems, if they get what Mathematics really meant to be, they will find that it is not
a boring subject, but rather an interesting one. Mathematics becomes part of our life, not only in
our academic subjects, but in all parts of our integral life. We don’t see that even in simple

2. 2
conversation mathematics takes place. In our transportation it also occurs, and in our daily living
it is definitely applied.
Background of the Study
According to Schereiber (2000) those who have positive attitudes toward mathematics
have a better performance in this subject.
Mathematics achievement has shown that the students from each major level of
Education in Asia seemed to outperform their counterparts. Many studies have examined
students’ thinking about school and their attitude toward Mathematics. Mathematics performance
involves a complex interaction of factors on school outcome. Although the relationship between
mathematics performance and students factor has been studied widely, it is important to explore
the factors that contribute to students’ mathematics performance.
Wendy Hansen (2008) stated that boys are more likely than girls to be math geniuses.
The researcher found that neither gender consistently outpaced the other in any state or at any
grade level. Even on test questions from the National Assessment of Education Progress that
were designed to measure complex reasoning skills, the gender differences were minuscule,
according to the study.
Student engagement in mathematics refers to students’ motivation to learn mathematics,
their confidence in their ability to succeed in mathematics and their emotional feelings about
mathematics. Student engagement in mathematics plays a key role in the acquisition of math
skills and knowledge – students who are engaged in the learning process will tend to learn more
and be more receptive to further learning. Student engagement also has an impact upon course
selection, educational pathways and later career choices.
Mathematics performance has improved, again, through expecting students to achieve,
providing instruction based on individual student needs and using a variety of methods to reach

3. 3
all learners. One factor has been aligning the math curriculum to ensure that the delivery of
instruction is consistent with the assessment frequency.
This particular study attempts to determine the factors affecting mathematics
performance of Laboratory High School Students at Laguna State Polytechnic University
Academic Year 2009-2010
Theoretical Framework
Inzlicht (2003) stated that entity and incremental theories of ability were assessed
separately so that their separate influences could be examined; mathematics performance was
examined by controlling for prior math performance. Entity theory was expected to be a negative
predictor of performance, whereas incremental theory was expected to be a positive predictor.
Guohua Peng (2002) stated that simple traditional methods gradually make the students
feel that mathematics is pointless and has little value to them in real life. It becomes a subject
they are forced to study, but one that is useless to them in real life.
Dweck, C. S. (1999) stated that students believe that their ability is fixed, probably at
birth, and there is very little if anything they can do to improve it is called fixed IQ theorists.
They believe ability comes from talent rather than from the slow development of skills through
learning. “It's all in the genes”. Either you can do it with little effort, or you will never be able to
do it, so you might as well give up in the face of difficulty. E.g. “ I can't do math”. And
Untapped Potential theorists, students believe that ability and success are due to learning, and
learning requires time and effort. In the case of difficulty one must try harder, try another
approach, or seek help etc.
Dan Hull (1999) stated that growing numbers of teachers today—especially those
frustrated by repeated lack of student success in demonstrating basic proficiency on standard
tests are discovering that most students’ interest and achievement in math, science, and language
improve dramatically when they are helped to make connections between new information
(knowledge) and experiences they have had, or with other knowledge they have already

4. 4
mastered. Students’ involvement in their schoolwork increases significantly when they are taught
why they are learning the concepts and how those concepts can be used outside the classroom.
And most students learn much more efficiently when they are allowed to work cooperatively
with other students in groups or teams.
Conceptual Framework
The major concept of this study is focused on factors affecting Mathematics Performance
of Laboratory High School Students at Laguna State Polytechnic University Academic Year
2009-2010.
Figure 1; shows the relationship of input variables which contain the extent of the
student-related factors and the extent of the teacher-related factors. The process contains the
survey, data gathering, data analysis, and data interpretation while output variables contain the
analysis of student-related factors and teacher-related factors.
INPUT PROCESS OUTPUT
STUDENT-RELATED
FACTORS
Interest
Study Habits
An Analysis of student-
TEACHER-RELATED Survey related factors
FACTORS Data Gathering
Data Analysis An analysis of teacher-
Personality Traits
Data Interpretation related factors
Teaching Skills
Instructional Materials
FIGURE 1. A conceptual paradigm showing the relationship of students’ mathematics
performance in student-related factors and in teacher-related factors.

5. 5
Statement of the Problem
The study attempted to determine the factors affecting mathematics performance of
Laboratory High School Students at Laguna State Polytechnic University Academic Year
2009-2010.
Specifically, it sought to answer the following questions:
1. What is the extent of the student-related factors in terms of:
1.1 Interest
1.2 Study Habits
2. What is the extent of teacher-related factors as evaluated by the students in terms of:
2.1 Personality Traits
2.2 Teaching Skills
2.3 Instructional Materials
3. What is the level of students’ mathematics performance?
4. Is there significant relationship between students’ mathematics performance and
students-related factors?
5. Is there significant relationship between students’ mathematics performance and teacher-
related factors?
Hypothesis
The following are the null hypotheses of this research:
There is no significant relationship between students’ mathematics performance and
student-related factors.
There is no significant relationship between students’ mathematics performance and
teacher-related factors.

6. 6
Significance of the Study
The result of the study will merit the following:
School Administrator. The result of this study could serve as a baseline data to improve
programs for school advancement.
Curriculum Planner. The result of this study will help them appraise the existing
programs in terms of the student’s needs and abilities and make changes as required.
Guidance Councilor. This study will help develop the guidance program in line with
individual needs and abilities of the students.
Facilitators/Teachers. The results of this study may serve as an eye opener to create and
innovate instructional materials, and to use varied and appropriate teaching strategies.
Students. This study will help the students to develop their interest toward Mathematics
and appreciate the importance of Mathematics in their daily lives.
Parents. Who are directly concerned with the education of their children considering
school performance in different discipline.
Future Researcher. The result of this study can serve as basis for further study on
teaching learning activities and student mathematical performance.
Scope and Limitation
This study was limited only to Laboratory High School Students of Laguna State Polytechnic
University during the Academic Year 2009-2010.
Determining the factors affecting Mathematics Performance of Laboratory High School
Students was the focus of this research. The information needed was gathered using the checklist
style research-made questionnaire. All information and conclusions drawn from this study were
obtained only to this particular group of students.

7. 7
Definition of Terms
For better clarification and understanding of the terms related to this study, the following
terms are defined conceptually and operationally.
Instructional Materials refers to motivating techniques that teaching materials or equipment
used. It can be high technology or simple materials that can be used in learning preference.
Interest refers to the amount of the students’ dislike or like of particular things.
Mathematics Performance refers to the degree or capacity of students’ knowledge in
Mathematics.
Personality Traits refers to the good relationship of the mathematics teachers with the
students.
Study Habits refers to usual form or action of a person in studying.
Teaching Skills refers to the skills of teachers in mathematics in terms of teaching her/his
lesson.

8. 8
Chapter 2
REVIEW OF RELATED LITERATURE AND STUDIES
This chapter presents the review of related literature and studies of the sub-topics of this
research; interest, study habits, personality traits, teaching skills and instructional materials.
Dr. Bob Kizlik (2010) stated that effective study skills must be practiced in order for you
to improve. It is not enough to simply "think about" studying; you have to actually do it, and in
the process use information from what you do to get better. This is the central idea of this page.
All that follows depends on this single concept. There is a saying that goes like this: "Practice
doesn't make perfect; perfect practice makes perfect." If you want to be an achiever, take this
saying to heart. http://www.cccsmurrieta.com/elementary/classfiles/pdfs/5-effstudyskills.pdf
Afolabi S. Sunday and Adeleke Joshua O (2010) find out that instructional resources and
materials are the crucial determinants of methods used in Mathematics teaching. Therefore,
should be provided through the following ways: (i) the government, (ii) improvisation by school
teachers and students, (iii) request from lovers of Mathematics and (iv) philanthropists, (v)
school P.T.A, (vi) setting up a department in NMC to take up the commitment of providing
standard instructional materials for the whole nation. Training and re-training of Mathematics
teachers on the use of instructional materials (vii) Teacher education programmers should have
at least a course whereby students are taught the construction and improvisation of instructional
materials for all courses and their uses. Teachers should be made to be aware of the importance
of instructional material.( http://www.eurojournals.com/ejsr_43_3_12.pdf)
Pamela Wilson (2010) stated that there are many types of teaching strategies for math as
for other subjects - often children who have difficulty understanding math concepts at school are
quite adept at understanding what they need to know at home and in the community. Using pie to
explain fractions is especially helpful when siblings are involved - every piece must be exactly
equal to be one of six or one of eight slices! Of course, in sharing anything that is coveted,
children understand that the 'big half' is better. (http://www.bellaonline.org/articles/art38411.asp)

9. 9
According to Imelda N. Enriquez (2010), in order to become an efficient and effective
teacher, one must strive to be competent. One should possess the personality traits essential for
good quality education. These traits are physical, intellectual, social, and emotional. A teacher
must be physically, intellectually, socially and emotionally fit to teach.
(http://www.sunstar.com.ph/pampanga/personality-traits-teacher-good-quality-education)
Tanom (2009) posted the article about the 7 effective study habits for High School
Students and College Freshmen: 1. when studying, you need to read all the lessons that to be
covered in the examination. Pure comprehensive reading will do, read, understand and read; 2.
After above, get back to the definitions of terms that you could simply remember. And again,
read, understand and read. For me, no need for further memorization, just understand and
remember those common words that define a certain word that will help you connect to that
specified word; 3.When comes to enumeration of words or subtopics or types/classification or
Kinds of a certain word or topic, then you need to arrange it in order that you can link with a
certain famous abbreviation or in a way that you can simply remember the first letter of the
words; 4. For the very difficult or not so familiar terms, all you need to do is to accompany the
word with a familiar word and during the examination, be connected to the familiar word and
then you will remember the difficult term; 5. When dealing with number memorization or
number arrangement, always divide that group of numbers into three or four or what you prefer
to have and do the memorization by division; .6. When studying, do not force yourself to
memorize or remember that information or data in your lectures. Always remember, when
studying you must swallow the words well, digest them well and stored them well, not forcedly
but willingly; 7. This is really a have-to-do after every studying. When you have a chance, you
need to grab a partner and let him/her ask some question that relates to your study.
(http://euts.wordpress.com/2009/05/27/7-effective-study-habits-for-high-school-students-and-
college-freshmen/)
Randy F. Elmore and Chad D. Ellett (2009) study the relationships within and between
measures of personality characteristics, personal and teaching practices beliefs, levels of
dogmatism, and cognitive out- comes (NTE scores and GPA) for a sample (n=63) of teacher
education students at the time of exiting a teacher education program. Moderate, negative

10. 10
correlations were established between dogmatism and the cognitive outcomes. Teaching
practices beliefs consistent with the philosophy of John Dewey were positively related to both
NTE scores and GPA, but were inversely related to dogmatic beliefs. Personality characteristics
were essentially unrelated to the cognitive outcomes examined, but were consistently found to
relate positively to dogmatism scores.
(http://www.questia.com/googleScholar.qst;jsessionid=MsRWrjCN2shT2ZLf0l5pXyh6BTWtYT
HZTM1lwx9xRvskgvH8ST8H!-242723580!1248292794?docId=98491461)
Harvey Craft (2009) stated that all teachers are not the same and there are different
teaching styles that result is effective teaching. There are, however, some surprising aspects that
successful teachers share.
(http://trainingpd.suite101.com/article.cfm/effective_teachers_inspire_effective_students)
Debrah A. Richards (2007) Perceptions of students' attitudes towards mathematics were
gathered using semi-structured group interviews of students. A questionnaire consisting of eight
open-ended questions was also used to collect the data. Results of the study indicate that students
are aware of their attitudes towards mathematics, they can identify factors that affect how they
think and feel about mathematics, and they have ideas about how the process of teaching
mathematics could be modified in order to improve student learning. Analysis of the results
suggests four factors identified by the students, namely: (i) conceptions of mathematics, (ii)
exciting or interesting activities, (iii) unpopular or boring activities, and (iv) students’ ideal of a
mathematics curriculum. Furthermore, analysis of the results shows that the factors identified by
the students represent only a small component of factors identified in the literature.
(http://openlibrary.org/works/OL13330774W/Factors_affecting_students
%27_interest_in_mathematics_at_the_elementary_level)
Aiso Heinze, Kristina Reiss and Rudolph Franziska (2005) present results of an empirical
study with 500 German students of grades 7 and 8. The study focussed on students' mathematics
achievement and their interest in mathematics as well as on the relation between these two
constructs. In particular, the results show that the development of an individual student's
achievement between grade 7 and grade 8 depends on the achievement level of the specific

11. 11
classroom and therefore on the specific mathematics instruction Interest in mathematics could be
regarded a predictor for mathematics achievement Moreover, our findings suggest that the
students show hardly any fear of mathematics independent of their achievement level.
(http://www.springerlink.com/content/08272762649018lx/)
Deborah Spencer and June Mark (2005) stated that national attention has focused on the
use and role of instructional materials in mathematics education to improve student achievement.
New national standards, international comparisons, and demands for increasing accountability
suggest the need for broader research and stronger evidence about the effective use of
mathematics curricula. EDC is conducting a project to understand mathematics curriculum
leaders’ needs for research that informs their decision-making, and to increase researchers’
understanding of those needs. The project will identify and organize research that is most useful
to K–12 mathematics curriculum decision-makers and to develop improved mechanisms for
them to make good use of such research.
http://www.edc.org/projects/effective_use_mathematics_instructional_materials
Niki Hayes (2005) stated that it is a safe bet that most folks will say "basic skills" mean
"knowing how to add, subtract, multiply, and divide correctly." It's an equally sure bet that many
teachers trained in the progressive, whole-math approach will shudder at the thought of having to
use what they consider traditional methods to teach basic skills—those boring, rote, repetitious
activities they label "drill and kill" (called "drill and skill" by traditionalists).
(http://www.newhorizons.org/trans/hayes%202.htm)
He Jingsong (2003) stated that it is very difficult to teach mathematical courses because
they are often abstract and may be boring for students. In addition, some teachers stress
mathematical rigor excessively, so that their mathematics courses are filled with abstract
formulas, theorems and proofs. On the other hand, the mathematical background of students is
often not very good. Most students, who are not majoring in mathematics, are afraid of
mathematics courses. They think mathematics courses are boring and not applicable.
(http://sydney.edu.au/science/uniserve_science/pubs/china/vol2/hejingsong.pdf)

12. 12
L.G. Richards (2001) stated that the Estes-Richards Inventory of Study Habits (ERISH)
has proven to be a reliable tool, with a stable factor structure when administered to large classes
of engineering students. However, in the previous study (FIE 99), there was minimal variability
in grades in this Introduction to Engineering class, and thus the ERISH results were not strongly
related to performance. In an attempt to find a class with greater variability in performance, we
studied a first year Single Variable Calculus class. The ERISH was administered twice: once
with respect to classes in general and then with special focus on the Calculus class. In this paper,
we review the results from this new sample of students, and reflect on how to improve study
skills and habits among first year students.
(http://www.computer.org/portal/web/csdl/doi/10.1109/FIE.2001.964060)
According to Mark Crilly (2000)as cited by Bagongon and Edpalina (2009) stated that
successful students are able to balance social activities with good study habits. A diversion from
studies will alleviate stress and help prevent from becoming fatigued. He said that a student
should make sure that he must take a break for an hour after studies to meet with friends, to play
some cards, work out at the gym, or to gab with a new acquaintance. For this way, that student
will find concentration when he does study, if he plans a social activity afterwards. He said, “To
develop a healthy social life, develop routine study habits. After supper, lug your books and
homework to the library, find a comfortable and quiet niche, and study for two or three hours,
taking intermittent 10 minute breaks every 45 minutes or so.” Making friends with whom you
share similar study habits, and share a table or a study space with them would be a best way in
developing study habits as what Mark said.
Cote & Levine (2000); Singh, Granville & Dika (2002) Research centering on students'
attitudes toward mathematics study has received increasing attention. Studies have shown that
factors such as motivation and attitude have impacted student achievement.
(http://findarticles.com/p/articles/mi_hb3325/is_2_8/ai_n29117616/)
Nobel laureate Herbert Simon (2001) wisely stated, the meaning of “knowing” has
shifted from being able to remember and repeat information to being able to find and use it.
More than ever, the sheer magnitude of human knowledge renders its coverage by education an

13. 13
impossibility; rather, the goal of education is better conceived as helping pupils develop the
intellectual tools and learning strategies needed to acquire the knowledge that allows people to
think productively about history, science and technology, social phenomena, mathematics, and
the arts. Fundamental understanding about subjects, including how to frame and ask meaningful
questions about various subject areas, contributes to individuals’ more basic understanding of
principles of learning that can assist them in becoming self-sustaining, lifelong learners.
http://www.jpsimbulan.com/2007/11/03/importance-of-instructional-materials-in-education/
Rohwes W. Jr. et al. as cited by Sainz (2000) further discussed the teachers need to find
ways of determining whether or not her instruction have been successful. The procedure and
method of determining such success can take the form of test of various kinds to determine
whether the students have reached the objectives they have set for them.
In an internet, present results of an empirical study with 500 German students of grades 7
and 8. The study focused on students' mathematics achievement and their interest in mathematics
as well as on the relation between these two constructs. In particular, the results show that the
development of an individual student's achievement between grade 7 and grade 8 depends on the
achievement level of the specific classroom and therefore on the specific mathematics instruction
Interest in mathematics could be regarded a predictor for mathematics achievement Moreover,
our findings suggest that the students show hardly any fear of mathematics independent of their
achievement level. (http://www.springerlink.com/content/08272762649018lx/)
In an internet article, students perform poorly in school simply because they lack good
study habits. In many cases, students don't know where to begin, don't fully understand the
material, are not motivated by it, or feel that there was too much work given to them with too
little time to complete or study it. If their studying skills do not improve, these students will
continue to test poorly and not perform to their fullest potential. Some students have problems
getting started. Begin to study early, with one or two hours per day. Then, slowly build your
study time and quality as you approach the exam or test. Make a list of the material you have and
separate it by priority. Do what you feel is most important first and save what you feel is least
important until the end. Using this method of studying, you ensure that you finish more

14. 14
significant work in case some unexpected interruption occurs. Also, keep an organized notebook
filled with useful information. Review your notebook during study halls, between classes, and at
home. Finally, take planned breaks while studying to give your mind a rest and let the
information sink in.
(http://library.thinkquest.org/3354/Resource_Center/Virtual_Library/Student_Sudy_Habits/study
.htm)
In an internet article, the researchers examined four personality attributes -- verbally
fluent, adaptable, impulsive and self-minimizing. Further study will expand knowledge that
"one's personality has important outcomes associated with it." In addition, future research will
"help us understand how personality is related to behavior as well as examine the extent to which
we may be able to change our personality."
(http://www.sciencedaily.com/releases/2010/08/100804151456.htm)
In an internet article, authentic assessment, cooperative learning, inclusion – discover a
vast range of current articles about teaching methodologies, ideal for all grades. Diversify your
teaching strategies by implementing service-learning projects and integrating technology in your
classroom. These resources will help you gain the experience and expertise you need to become
a successful teacher, whether you're a new teacher or have been teaching for many years.
http://www.teachervision.fen.com
According to Bloom’s Taxonomy, teachers frequently spend a great deal of classroom
time testing students through questions. In fact, observations of teachers at all levels of education
reveal that most spend more than 90 percent of their instructional time testing students (through
questioning). And most of the questions teachers ask are typically factual questions that rely on
short-term memory.
Instructional materials adopted by the state help teachers present the content set forth in
the Mathematics Content Standards for California Public Schools (referred to in this publication
as the California Mathematics Standards). To accomplish this purpose, this chapter establishes
criteria for evaluating the instructional materials for the six-year adoption cycle beginning with

15. 15
the primary adoption in 2007. These criteria serve as evaluation guidelines for the statewide
adoption of mathematics instructional materials for kindergarten through grade eight, as defined
in Education Code Section 60010.
http://www.cde.ca.gov/ci/ma/im/documents/chapter10only.pdf
Instructional Materials based on the new Florida mathematics content standards should
be an instructional tool for students and teachers, and not just a practice workbook. Instructional
Materials should help students master the mathematics concepts in their grade level and should
move from concrete understanding, to several different models and representations.
http://www.fldoe.org/bii/instruct_mat/pdf/InstructMaterGuideforMath.pdf

16. 16
Chapter 3
RESEARCH METHODOLOGY
This chapter presents the research design, research procedure, the subject of the study,
determination of sample, research instrument and statistical treatment of data.
Research Design
This study determined the factors affecting mathematics performance of Laboratory High
School Students at Laguna State Polytechnic University. The descriptive – correlation method
was used in this study.
In descriptive method, Calmorin (1994) as cited by Bagayana (2006), wrote the study
focuses on the present condition. The purpose is to find new truth, which may come in different
forms such as increased quantity of knowledge, a new generalization, or increased insights into
factors, which are operating, the discovery of a new causal relationship, a more accurate
formulation of the problem to be solved and many others.
Since this study measured data that already exist and the number of respondents is not
large, the descriptive – correlation method of studies is best suited. As mentioned, the student-
related factors in terms of interest and study habits, and the teacher-related factors in terms of
personality traits, teaching skills and instructional materials were generated using researcher –
made questionnaire.
Subject of the Study
The respondents in this study were the one hundred twenty six (126) Laboratory High
School Students at Laguna State Polytechnic University Academic Year 2009-2010.
Research Instrument
The main tool used in this study was a researcher – made questionnaire – checklist. A set
of questionnaire-checklist was constructed for the student respondents. The questionnaire –
checklist consisted of the students’ level of interest in Mathematics, their study habits and their

17. 17
teachers’ personality traits, teaching skills and instructional materials used in teaching as
perceived by the students.
Part 1 on the questionnaire – checklist obtained the students’ level of interest in
Mathematics presented five(5) statements and the students’ study habits presented ten(10)
situations. These were given one set of five checkboxes each. The five checkboxes were ranked
as:
5 – Always
4 – Often
3 – Sometimes
2 – Rarely
1 – Never
Part 2 obtained teacher’s personality traits, teaching skills and instructional materials
used in teaching as rated by the students. Each statement was given one set of five checkboxes.
Again, the five checkboxes were ranked as:
5 – Always
4 – Often
3 – Sometimes
2 – Rarely
1 – Never
The questionnaire – checklist was presented to the adviser and expert on Mathematics for
comments, corrections, and suggestions on the content.
Research Procedure
The original title proposed by the researcher was checked, revised and rechecked by the
researcher’s adviser to maintain conformity to the subject of research. The questionnaire-
checklist that aims to draw out proper responses on the objectives of this study was constructed.
This questionnaire – checklist made by the researcher was presented, analyzed and checked by
the research adviser, Mrs. Delia F. Mercado, to ensure the validity of responses it would elicit.

18. 18
The permit to conduct research and study was secured through a letter request for
permission from the principal of Laboratory High School at Laguna State Polytechnic
University.
Data gathered from answered questionnaires were checked, classified, tabulated and
analyzed according to the research design described in this chapter using Microsoft Excel and
prepared for final presentation to the experts of different fields of specialization.
Statistical Treatment of Data
Analysis Statistical Tools
1. The extent of student-related factors Weighted Mean
in terms of:
1.1 Interest
1.2 Study habits
2. The extent of teacher-related factors Weighted Mean
in terms of:
2.1 Personality Traits
2.2 Teaching Skills
2.3 Instructional Materials
3. The level of students’ mathematics Mean, median, mode, skewness and
performance. kurtosis.
4. Significant relationship between Pearson R, Spearman Rho, Regression
students’ mathematics performance
and student-related factors.
5. Significant relationship between Pearson R, Spearman Rho, Regression
students’ mathematics performance
and teacher-related factors.

19. 19
Chapter 4
PRESENTATION, ANALYSIS AND INTERPRETATION OF DATA
This chapter presents, analyzes and interprets the data gathered from the students of
Laboratory High School at Laguna State Polytechnic University in determining factors affecting
Performance in Mathematics.
Extent of Interest of the students in Mathematics
Table 1 shows the weighted mean of students’ interest in Mathematics. Students’ level of
interest in Mathematics was rated based on the students’ self-perceived level of preparation for
the Mathematics subject, attention given to teacher’s lectures, active participation in class, their
desire to get good grades and their desire to listen to discussions or attention class.
The students gave a unifying perception on their level of interest in Mathematics. The
item “I want to get good grades on tests, quizzes, assignments and projects.” ranked first with an
average weighted mean of 4.77. The item “I get frustrated when the discussion is interrupted or
the teacher is absent.” got the lowest rating with an average weighted mean of 2.88.
Table 1. Extent of Interest in Mathematics as Perceived by the Students
Weighted Verbal
Interest Rank
Mean Interpretation
1. I make myself prepared for the math subject 3.79 4 Often
2. I listen attentively to the lecture of my math
4.10 2 Often
teacher.
3. I actively participate in the discussion,
answering exercises and/or clarifying things 3.93 3 Often
I did not understand.
4. I want to get good grades on tests, quizzes,
4.77 1 Always
assignments and projects.
5. I get frustrated when the discussion is
2.88 5 Sometimes
interrupted or the teacher is absent.
Average Weighted Mean 3.90 Often
The overall weighted mean of interest in Mathematics is 3.90. This means students are
“often” interested in this subject. Among questionnaire items, the desire to get good grades is the

20. 20
most interesting to students but the desire to attend discussion received the lowest extent of
interest.
Extent of Study Habits
Table 2 shows the lists of ten (10) items about situational/action statements used in the
data gathering and the corresponding weighted means of the students’ responses ranked from the
highest to lowest weighted mean together with the verbal interpretation. The criteria in obtaining
students’ level of study habits were based on their personal tendency or pattern of action in
studying when they are in school days.
Table 2. Extent of Study Habits as Perceived by the Students
Weighted Verbal
Study Habits Rank
Mean Interpretation
1. I do my assignments regularly. 4.09 2 Often
2. I exert more effort when I do difficult assignments. 3.88 4 Often
3. I spend my vacant time in doing assignments or
3.08 9 Sometimes
studying my lessons.
4. I study the lessons I missed if I was absent from
3.65 5 Often
the class
5. I study and prepared for quizzes and tests. 4.07 3 Often
6. I study harder to improve my performance when I
4.34 1 Often
get low grades.
7. I spend less time with my friends during school
2.97 10 Sometimes
days to concentrate more on my studies.
8. I prefer finishing my studying and my assignments 3.10 8 Sometimes
first before watching any television program.
9. I see to it that extracurricular activities do not
3.37 7 Sometimes
hamper my studies.
10. I have a specific place of study at home which I
3.45 6 Often
keep clean and orderly.
Average Weighted Mean 3.60 Often
Overall, the extent of study habits as perceived by the students themselves gained an
“often” result with an overall weighted mean of 3.60. Among each situational/action statements or
items given, the item “I study harder to improve my performance when I get low grades.” ranked
first with an average weighted mean of 4.34 but the item “I spend less time with my friends

21. 21
during school days to concentrate more on my studies.” got the lowest extent of study habits in
Mathematics.
Extent of Teachers’ Personality Traits
. Table 3 shows the data on the extent of personality traits of the teachers with the
computed weighted mean, rank and interpretation. Extent of teachers’ personality traits were
ranked based on their relationship with the students, their smartness, confidence and firmness in
making decisions, their imposing proper discipline and not lenient in following the prescribed
rules, their personality with good sense of humor and their appreciation to suggestions and
opinions and their worthy of praise
Table 3. Extent of Teachers’ Personality Traits as Perceived by the Students
Weighted Verbal
Personality Traits
Mean Rank Interpretation
1. Has a good relationship with the students and
4.60 1 always
teachers.
2. Shows smartness, confidence and firmness in
4.58 2 always
making decisions.
3. Imposes proper discipline and is not lenient in
4.43 4 often
following the prescribed rules.
4. Has an appealing personality with good sense of
4.41 5 often
humor.
5. Is open to suggestions and opinions and is worthy
4.48 3 often
of praise.
Average Weighted Mean 4.50 always
The table reveals that item number 1 ranked first with an average weighted mean of 4.60
and interpreted as “always” which means that the teacher always has a good relationship with the
students. The item number 2 ranked second with an average weighted mean of 4.58 also
interpreted as “always” which means that the teacher always shows their smartness, confidence
and firmness in making decisions. Items 3, 4, and 5 interpreted as “often” with the weighted
means of 4.48, 4.43, and 4.41 for ranks 3, 4, and 5, respectively.

22. 22
Extent of Teaching Skills
Table 4 presents the extent of teaching skills acquired by the teachers in Mathematics as
perceived by the students. The overall weighted mean of the teachers in terms of teaching skills
is 4.41 which is interpreted as “often”.
Table 4. Extent of Teaching Skills as Perceived by the Students
Weighted Verbal
Teaching Skills
Mean Rank Interpretation
1. Explains the objectives of the lesson clearly at
4.51 2 always
the start of each period.
2. Has mastery of the subject matter. 4.70 1 always
3. Is organized in presenting subject matters by
4.40 4 often
systematically following course outline.
4. Is updated with present trends, relevant to the
4.46 3 often
subject matter.
5. Uses various strategies, teaching aids/devices
3.96 5 often
and techniques in presenting the lessons.
Average Weighted Mean 4.41 often
Looking closely at the table item per item, it was observed that the “The teacher has
mastery of the subject matter” has the highest average weighted mean among the five items and
interpreted as “always” followed by the item “The teacher explains the objectives of the lesson
clearly at the start of each period” also interpreted as “always”. Items “The teacher is updated
with present trends, relevant to the subject matter” , “The teacher is organized in presenting
subject matter by systematically following course outline”, and “The teacher uses various
strategies, teaching aids/devices and techniques in presenting the lessons” interpreted as “often”
with the average weighted means of 4.46, 4.40 and 3.96 for ranks 3, 4 and 5, respectively.
Extent of Instructional Materials used by the Mathematics teachers
Table 5 presents the extent of instructional materials used by the teachers in Mathematics.
It shows that the teachers “always” used chalk and blackboard in explaining the lessons with an
average weighted mean of 4.93. The teachers used workbooks/textbooks and materials for
project development interpreted as “sometimes” with the average weighted means of 3.45 and
2.55 for ranks 2 and 3. The teachers used articles interpreted as “rarely” with an average

23. 23
weighted mean of 2.48. Lastly, used of power point presentation got the lowest extent of
instructional materials with an average weighted mean of 1.49 interpreted as “sometimes”.
Table 5. Extent of Instructional Materials used by the Mathematics Teachers
Weighted
Instructional Materials Verbal Interpretation
Mean Rank
1. Chalk and blackboard in
4.93 1 always
explaining the lessons.
2. workbooks/textbooks 3.45 2 sometimes
3. PowerPoint presentations (visual
1.49 5 never
aids)
4. articles 2.48 4 rarely
5. materials for project development 2.55 3 sometimes
Average Weighted Mean 2.98 sometimes
The overall extent of instructional materials used by the Math teachers as perceived by
the students gained “sometimes” result with an overall average weighted mean of 2.98. This
means that the teacher in Mathematics sometimes uses instructional materials.
Level of Performance of Students in Mathematics
Table 6 presents the level of performance of Laboratory high school students in
Mathematics in terms of some measure as mean, median, mode, standard deviation, skewness
and kurtosis. The grades presented are the means of the grades of students-respondents in third
grading period obtained through documentary analysis of Form 138 provided by the adviser.
Table 6. Level of Performance of Students in Mathematics
Statistics Value Verbal Interpretation
Mean 88.23 Satisfactory
Median 89.00 Satisfactory
Mode 91.00 Very Satisfactory
Standard Deviation 4.84
Kurtosis 2.10 Relatively Steep/leptokurtic
Skewness -1.13 Skewed to the left/negatively skewed
Table reveals that the mean performance of students in Mathematics was “satisfactory”
with an average of 88.23 median of 89 mode of 91 and standard deviation of 4.84. The skewness

24. 24
of the level of students is -1.13 which, which skewed to the left/negatively skewed while kurtosis
is 2.10, which is leptokurtic or has a relatively peaked distribution.
It reveals that several of the students really wanted the subject of Mathematics. Only few
of the students got low and the rest got the high grades.
Significant Relationship of the Mathematics Performance of the Students in Student-
related factors and Teacher-related factors
Table 7 presents the significant relationship of the factors affecting Mathematics
Performance of Laboratory High School. As seen on the table, the Pearson r of the five (5)
factors such as Interest, Study Habits, Personality Traits, Teaching Skills and Instructional
Materials have high degree of correlation but the t revealed the lesser value of 2.01. It means that
there is no significant relationship to Mathematics performance of the students.
Table 7. Significant Relationship of the Mathematics Performance of the Students in Student-
related factors and Teacher-related factors
Variables df T-Computed T- value Interpretation
Interest 0.544326 2.10 not significant
Study Habits -0.465262108 -2.10 not significant
Personality Traits -0.095499 -2.10 not significant
113
Teaching Skills 0.984864987 2.10 not significant
Instructional
-2.10
Materials -1.043867038 not significant
The table reveals that the interest, study habits, personality traits, teaching skills and
instructional materials do not affect the Mathematics performance of the Students of Laguna
State Polytechnic University.

25. 25
Chapter 5
SUMMARY, CONCLUSION AND RECOMMENDATION
This chapter presents the summary of findings; the conclusions made and the
recommendations offered.
Summary of Findings
The summary of findings is made according to the sequence outline of the statement of
the problem presented in chapter 1.
Based on the data gathered, the overall weighted mean of interest in Mathematics is 3.90.
This means students are “often” interested in this subject. Among questionnaire items, item #4 is
the most interesting to students but item #2 received the lowest extent of interest.
Study habits had an average weighted mean of 3.60 and also interpreted as “often”.
Among each situational/action statements or items given, the item #6 ranked first with an average
weighted mean of 4.34 but the item # 7 got the lowest extent of study habits in Mathematics.
Personality traits had an average weighted mean of 4.50 and interpreted as “always”. It
reveals that item number 1 ranked first with an average weighted mean of 4.60 and interpreted as
“always” which means that the teacher always has a good relationship with the students. The
item number 2 ranked second with an average weighted mean of 4.58 also interpreted as
“always” which means that the teacher always shows their smartness, confidence and firmness in
making decisions.
Teaching skills had an average weighted mean of 4.41 and interpreted as “often”. It
reveals that item #2 got the highest average weighted mean and item #5 got the lowest average
weighted mean.
Instructional materials had an average weighted mean of 2.98 and interpreted as
“sometimes”. This means that the teacher in Mathematics sometimes uses instructional materials.

26. 26
In terms of level of performance of the students in mathematics, the students obtained the
mean grade of 88.23 with verbal interpretation of “Satisfactory” and standard deviation of 4.84.
It reveals that several of the students really wanted the subject of Mathematics. Only few of the
students got low and the rest got the high grades.
Through the test of significance, the researcher came up with the following conclusion;
there is no significant correlation between student interest in mathematics and their performance
in mathematics. Their computed z-value is 0.54 which is less than the tabular z-value of 2.10 at α
= .05. There is no significant correlation between study habits and their performance in
mathematics. The computed z-value is -0.47 which is less than the tabular z-value of -2.10 at α
=0.05. This means that the performance of the students in mathematics was not affected by the
student-related factors in terms of interest and study habits.
There is no significant relationship between teacher-related factors such as personality
traits, teaching skills and instructional materials and the performance of the students in
mathematics. Their computed z-values are -0.10, 0.98 and -1.04 which are less than the tabular z-
value of -2.10, 2.10 and -2.10 respectively. Thus, teacher-related factors do not affect the
performance of the students in mathematics.
Conclusions
The results of this study showed that in terms of students’ interest and study habits,
teachers’ personality traits, teaching skills and instructional materials had no significant bearing
on students’ mathematics performance.
Therefore, it is concluded that student-related factors and teacher-related factors do not
affect the students’ mathematics performance of laboratory high school students at Laguna State
Polytechnic University Academic Year 2009-2010.

27. 27
Recommendations
Based on the conclusions made, the following recommendations are given: that a more
comprehensive research on relationship to Mathematics be made by the future researchers to
determine a more focused result on the relationship; that teachers should use more interactive
teaching techniques that would boost interest in mathematics; that a more thorough research on
study habits be made by future researchers to determine its effect on student performance; and it
is further recommended that the same study be conducted in a National High School wherein the
respondents will be composed of heterogeneous learners.