Category: Research Methodology
How to Determine the Minimum Sample Size in Survey Research to Ensure Representativeness
When conducting survey research, the number of samples observed will naturally be one of the main considerations. In survey-based studies, using samples is often a more efficient choice compared to carrying out a census on all population members. By taking a representative sample, we can observe behaviors that reflect the larger population.
Use Stratified Random Sampling When the Population Is Not Entirely Homogeneous
Sampling techniques are very important, especially when we’re observing a specific population. By taking samples, we can save on costs, time, and effort—yet still obtain results that represent the population being studied.
Snowball Sampling Technique: A Solution When the Population Size Is Unknown
In conducting research, we generally take samples from a population under observation. Of course, it’s much easier if we already have data on the population size, so we can take a representative sample that reflects the population as a whole.
How to Choose a 5% or 10% Margin of Error in Slovin’s Formula | Calculating the Minimum Sample Size
In calculating the minimum sample size using Slovin’s formula, researchers can choose a 5% or 10% margin of error. What’s the difference, and how do you choose the right one? In survey research, when observing a population, we are often faced with the challenge of a large population size that needs to be observed.
Analysis of Cobb-Douglas Production Function: Theoretical Basics and Case Study Examples
In economics, production function analysis is an essential tool for understanding how inputs like labor and capital are transformed into output. One of the most renowned and widely used models for analyzing this relationship is the Cobb-Douglas production function.
The Difference Between Simple Random Sampling and Stratified Random Sampling in Survey Research
Sampling techniques are crucial skills for researchers to master. In research, samples can be drawn from a population, but the selected samples must accurately represent the observed population. Therefore, proper sampling techniques must be applied per scientific principles.
Sampling Methods and Statistical Analysis in Survey Research
In conducting research, the primary objective is to analyze a phenomenon and find effective solutions to problems. The process of research involves collecting facts, evidence or results to develop, test or enhance knowledge about natural and social phenomena. Research plays a significant role in advancing science, and it is essential that research findings are made accessible to all.
How to Generate a Random Sample using Excel
The sampling technique of simple random sampling is a sampling method that provides equal opportunities for each member of the population to be selected as a sample. This sampling technique randomly selects the sample from the existing population. To be able to use the simple random sampling technique, researchers need to ensure that there are at least two assumptions that must be met.