The nested test design is yet another achievement of the research that is carried out educational psychology, where the idea is that a student is ‘nested’ in a classroom which is ‘nested’ in a school and so on, and thus makes use of various statistical models to calculate variance and change.
Therefore, it is safe to state that statistics plays a pivotal role in quantitative research. Its usage stems from the collection of data that has its basis in the hypothesis or theory that is being checked. For more accurate results a large sample is selected, so that the results that are formulated are a good representation of the entire test subject. After that, the long arduous process of verification and validation takes place. This then results in the recording of the data to maintain its authenticity and objectivity. Software such as the likes of SPSS and R are usually the ones employed to carry out these tasks.
To maximize the information that is gleaned from this raw data, the variables are then tested against each other by changing or replacing the test variables against the control ones and seeing the difference that they create. Furthermore, manipulating factors are then further used in order to study and highlight the area of significance that is tested against a controlled set of variables, to remove any error and to see all possible scenarios to get the most objective insight into the behavioural patterns of the variables within the data. Quantitative variables are either discrete or continuous. This means that they can assume only ‘certain values and there are “gaps” between the values.’ Continuous demonstrates that they can ‘assume any value within a specific range’. (Lind, Marchal and Wathen, Statistical Techniques, pg:9).
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