Determination of Sample Size in Early Childcare Centre (TASKA) Service Project in Malaysia: Classification and Analytical Approach

Abstract

Determining sample size for large-scale projects such as TASKA services throughout Malaysia is important and requires research from all aspects. The difficulty in determining the size of these samples seems to be scary and tempting researchers to use formal calculation rule-of-thumb based on goals from past trials. We consider a wide range of situations and experimental designs commonly used in determining the sample size of the study, including discussions on procedures for controlling the rates of false findings and adjustments for small sample situations. Here we present theoretical formula to determine the sample size to accomplish the research objective, including class clarification and analytical approach. The results obtained explain the impact of minimum approaches, technical replication and strata arrangement based on proportional to random size requirements. These results are derived from collective discussion of dependency studies on the relative size of various variables. We are discussing the procedures for controlling the rates of false discovery. Our calculations are based on a fairly simple but realistic statistical model for data, and provide a simple sample size calculation formula.