Thesis Methodology Sample

Researchers are often taught to master only two types of methods in general terms and so become comfortable with either quantitative or qualitative analysis but not both. The result is the two methods are seldom combined and their respective strengths are ignored by adherents of each approach (Casebeer & Verhoef,1997).

A.    Research Design

The basic research method used in this study is the quasi-qualitative source genre under a trans-disciplinary approach and a diffusion inductive theme. The quasi-qualitative research approach involved interpretive procedures and numerically based representation of data in the secondary analysis method. Diffusion of Innovation theory (Rogers,2003) was used to represent the how, why and at what rate can innovation or idea/s can be adopted and diffuse to its intended target area.

B.    Procedures

Research data were sourced, collected and collated accordingly before secondary analysis method was applied in the design of the food dehydrator for its intended user, the secondary school teachers.  Quasi-qualitative source analysis was used in the evaluation of the Makabayan learning area and thereby anchored its research for the infusion of food dehydration craft technology in the Secondary School level.

The methodology of this body of research is based on the premise of its functionality to the needs of the targeted stakeholders, the learners and through them, the community.

Sample Acknowledgement

Acknowledgement

The study leader wishes to thank…

….. The Father Almighty for giving me the courage, intelligence, and strength to finished this task.

….. My families and friends who always been supported and for my inspiration.

….. My bestfriend who always be there for me in times of trouble.

….. My instructor, Ms. Jennifer Lopez for guiding me through the project.

…. To the Manager of JcMER Trading Services, Mr. Gabby Santos, for lending of their materials used in this project.

…..  To my mentor, Mrs. Rosita dela Rosa for sharing her knowledge and expertise.

….. The Dean of the College of Computer and Information Technology, Dr. Ethel  R. Bautista for trusting me in this Project.

…..The Computer Science Graduates of Pilar State University (PSU), some of the parents who responded in my questionnaire.

….. Lastly, the member of BCIS for their time, effort and sacrifices to make this project possible.

Sample of Statistical Design

The research study used multiple linear regression stepwise analysis of the effect of temperature to moisture removal from the raw material feed and dryness quality of the three fruits used as experimental tool with respect to the design of the modular dehydrator.

Multiple regression analysis is a multivariate statistical technique that simultaneously probe into the underlying relationships among the given set of variables. The relative magnitude of the dependent relationships is estimated simultaneously enabling the researcher to identify a set of possible predictors of the criterion variable. The formula for multiple regression is ? = a  + b1X1 + b2X2 + b3X3 + ………… + bn-1Xn-1
Where: ? = the variable to be predicted
a  = constant or intercept
b1- bn-1 = slopes of the predictor variables
X1 – Xn-1 = are the values of predictor variables

The slopes of the predictor variables can be calculated by means of the standardized beta weights, ? with respect to the standard deviations of the variables involved in the study being conducted. Multiple regression analysis includes a multiple coefficient of determination symbolized by R2, the proportion of variance in a dependent variable explained by a set of independent variables in combination.
R2 = rxy2 + rzy2 – 2*rxyrzyrxz
1 – rxz2

From the multiple linear regression equation, the slopes of the predictor variables indicate the change in the dependent variable associated with a unit increase in a given predictor, holding constant the other predictor.

To calculate the percentage moisture removed per hour of drying temperature,
MR = mi – mo
mi
where: MR = percentage moisture removed per hour
mi = initial mass load
mo = mass per hour

To be able to know the approximate water content of the fruit to undergo dehydration and the weight reference thereafter:

Mwc = mi * %wc (1)       mwr = mw * %wcstd (2)          mdry = mi – mwr

Where: mwc = water content of food, gram water/gram fresh material
mi = initial mass feed
mwr = amount of water to be removed
wcstd = standard water content in percentage of food
mdry  = mass of dried food, gram dry basis/gram fresh material