Research design is defined as the logical and coherent overall strategy that the researcher uses to integrate all the components of the research study.
Types of quantitative research design include Descriptive, Correlational, Ex post facto, Quasi-experimental, and Experimental.
Descriptive research is used to describe a particular phenomenon by observing it as it occurs in nature and answers questions such as who, what, where, when, and how much.
This procedure is usually applied in large-scale studies, where geographical spread of the population is a challenge and gathering information will be very time-consuming.
Systematic sampling is a procedure that involves selecting samples every nth of the chosen population until arriving at a desired total number of sample size.
Cluster sampling is similar to stratified random sampling, involving grouping of the population according to subgroups or clusters.
The selection in systematic sampling is based on a predetermined interval.
Correlational research seeks to determine if one variable increases or decreases as another variable increases or decreases.
Ex post facto research investigates a possible relationship between previous events and present conditions.
Quasi-experimental research is used to establish the cause-and-effect relationship of variables.
Experimental research provides a more conclusive result because it uses random assignment of subjects and experimental manipulations.
Antimicrobial Property of Saba Banana ( Musa acuminata x balbisiana ) Sheaths Extract Against Staphylococcus aureus is a study on the antimicrobial property of saba banana ( Musa acuminata x balbisiana ) sheaths extract against Staphylococcus aureus.
A good sample should have characteristics of the represented population – characteristics that are within the scope of the study with fair accuracy.
Formulas are also being established for the computation of an acceptable sample size.
Once a good sample is obtained, the generalizability and applicability of findings increases.
In a study comparing the effects of various blended learning to the reading comprehension of elementary pupils, the experimental group is the one that receives the treatment and the control group is the one that does not receive any treatment.
Sampling pertains to the systematic process of selecting the group to be analyzed in the research study.
Lunenberg and Irby (2008), as cited by Barrot (2017), also suggested different sample sizes for each quantitative research design.
The population in a research study is the totality of all the objects, elements, persons, and characteristics under consideration.
Simple Random Sampling is a way of choosing individuals in which all members of the accessible population are given an equal chance to be selected.
In experimental research, there are two groups: the experimental group, which receives the treatment, and the control group, which does not receive any treatment.
The goal of sampling is to get information from a group that represents the target population.
Dried Coconut ( Cocos nucifera L .) Husk Fiber, Pulp, and Coco Coir as Organic Fertilizers for Hydroponics System is a study on the effects of dried coconut husk, pulp, and coco coir as organic fertilizers for hydroponics system.
The early established approach by Gay (1976) stated by Cristobal and Dela Cruz - Cristobal (2017), sample sizes for different research designs are the following:
The representative subset of the population refers to the sample.
Heuristics is an approach refers to the rule of the thumb for sample size.
Stratified Random Sampling gives an equal chance to all members of the population to be chosen, but the population is first divided into strata or groups before selecting the samples.