PPT. Research Practical 2
PPT. Research Practical 2
PPT. Research Practical 2
This study is anchored on the Near infrared reflectance spectroscopy (NIRS) of Haiyan
Cen, Yong He, (2007).
In recent years, near infrared reflectance spectroscopy (NIRS), a quick and non-
destructive technology, has been used more frequently to assess the quality of food. It gives us
more data to investigate the food goods’ quality. This review aims to provide a general
overview of the information that can be gathered using some developed theory and NIRS food
research. It covers the fundamentals of the NIRS methodology, specific chemometrics
methods for pre-processing data, qualitative and quantitative analysis, model transfer, and the
numerous uses of NIRS in the field of food science. Additionally, the potential of the NIRS
technique for assessing food quality is illustrated, and a few issues that need to be resolved or
further researched are also covered.
An developing, non-invasive process analysis method well suited for the food business
is thermal imaging (TI). Although TI was initially created for military applications, it has
recently become recognized in other industries as a potent non-destructive measurement
method. An overview of TI theory, tools, and image processing is given in this study. Review
of recent developments and possible uses of TI for grain quality assessment, temperature
validation, bruise and foreign body detection, and food safety and quality assessment
Directed the quality of student life (QSL) approach toward an ecologically grounded,
cogent theory of satisfaction by M. Using the QSL questionnaire, Benjamin (see record 1994-
35274-001) evaluated its usefulness. 266 third- and fourth-year undergraduate students
between the ages of 21 and 25 answered surveys to gauge their level of campus and life
satisfaction. The L-SAT and the C-SAT both seem to be reliable indicators of student
satisfaction. There is overlap between the results of C-SAT regression and discriminant
analysis, indicating that some factors were quite important in determining happiness with
campus life. According to regression and discriminant models, life events, personal
connections, off-campus living, and physical health were all major contributors to happiness
rather than just the on-campus experience. For measuring L-SAT and C-SAT, the QSL seems
like a reasonable tool. (PsycINFO)
Directed the quality of student life (QSL) approach toward an ecologically
grounded, cogent theory of satisfaction by M. Benjamin and evaluated the value of the
QSL questionnaire (see record 1994-35274-001). 266 third- and fourth-year undergraduate
students between the ages of 21 and 25 answered surveys to gauge their levels of campus
and life satisfaction. The L-SAT and the C-SAT both seem to be reliable indicators of
student satisfaction. There is overlap between the results of C-SAT regression.
Statement of the Problem
The goal of this study is to assess the food quality in Mactan National High School-
Senior High School whether the students are satisfied with the food stall services. At the end
of this research it will answer the following questions:
1. Doеs thе studеnts in Mactan National High School is satisfiеd whеn it comеs to food stall
sеrvicеs?
3. How doеs important knowing thе studеnts satisfaction whеn it comеs to food quality?
Methodology
Research Design
This study, use of Quantitative research methods involve the collection and analysis
of numerical data to answer research questions or test hypotheses. And also, use of
Descriptive research design is well-suited for surveys. This descriptive research design aims
to capture a comprehensive understanding of food quality and student satisfaction at Mactan
National High School, utilizing quantitative to inform potential improvements in the
school’s food stall services.
Respondents
To obtain the main score data for assessing food quality and student satisfaction at
Mactan National High School, the formula used is descriptive statistics, also known
Descriptive statistics are methods for summarizing and describing key elements of a data
set.
Formula:
X̄ ΣX N
Where: x̄ = mean
ΣX = is sum of all data values
N = is numbers of data items in population
Part I. Socio-demographic Profile Questionnaire
Direction: Please supply the needed information by writing on the spaces provided.
Name of Student: Address:
Grade and Section: Sex:
Part II. Quality of Services of the School Canteen Questionnaire
Direction: Here are a number of statements that may or may not meet your satisfaction about the Qualities of Services of the School Canteen. Choose one from the five
choices below that best describes your feeling about the statement by checking the corresponding cells where the column numbers mean the following:
1 Strongly Disagree 2 Disagree 3 Neutral 4 Agree 5 Strongly Agree