Quantitative Research Methodology
Quantitative Methodology - 5.02
Population = the group of people that we are investigating e.g primary school teachers
The ideal situation is if we investigated the whole population but this is not always feasible
infinite populations: speech created by a teacher
So, in most cases we must sample, meaning we only measure part of the population
We can use probability sampling:
system to allow us to randomly generate the cases to draw from there
everytime we draw, we must know the probability of every unit
or non-probability sampling:
in some cases its not possible to use probability sampling
we draw a sample of the population but chance does not dictate which cases will enter the sample
e.g
Simple random sampling: Every item in the population has an even chance and likelihood of being selected in the sampling
but this method is not the most typically used method in educational research
Stratified sampling (the most typical in education)
clustered sampling
The statistical index of the degree to which two variables are associated is the correlation coefficient. Developed by Karl Pearson, it is sometimes called the "Pearson correlation coefficient". The correlation coefficient summarizes the relationship between two variables.
We have two variables that we can put their value in order
r belongs to [-1,1] where 0 means that they have no correlation.
The formula is correlation is standardized so the values are always between -1 and 1.
r^2 is the shared variance.
The output must be numerical values, so the data collection methods must be such so this is the result of them.
1.
Test/scales: measure theoretical concepts