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A research population is generally a large collection of individuals or objects that is the main focus of a scientific query.
Random sample: each individual in the population has an equal chance of being selected. Stratified sample: a researcher divides the population into groups based on characteristics, and then the researcher randomly selects from each group based on size.
CHAPTER 3 Research design, research method and population INTRODUCTION Chapter 3 outlines the research design, the research method, the population under study, the sampling procedure, and the method that was used to collect data. The reliability and validity of the research RESEARCH METHOD A quantitative, descriptive approach was. Non-probability population sampling method is useful for pilot studies, case studies, qualitative research, and for hypothesis development. This sampling method is usually employed in studies that are not interested in the parameters of the entire population.
Gamma g is calculated based on population data from prior research studies, or determined several different ways depending on the nature of the data and the statistical tests to be performed The textbook discusses 4 ways to estimate gamma (population effect size) based upon. RESEARCH METHODOLOGY In this chapter, I discuss the research design, area of study, population, sample of the population, sampling technique, instrument for data collection, validation of the questionnaire, administration of the instrument and method of data analysis.