Qantitative data refers to statistical datasets that express certain quantities, amounts and ranges.. Arithmetic operations are applied to quantitative data. This article explains the Quantitative data characteristics.
Structural equation modeling analysis being the multivariate statistical tool helps in determining the direct and indirect linkage between the variables.
Structural Equation Modeling (SEM) analysis is a statistical method used in social science studies for testing the linkage between multiple variables at any point in time. SEM analysis is an extension of the simple linear model.
Validity and reliability of qualitative research represent the key aspects of the quality of research. When handled meticulously, the reliability and validity parameters help differentiate between good and bad research.
This article focusses on techniques used to analyse qualitative data. The choice of technique depends upon various factors. This typically involves the research question, its theoretical foundation, and appropriateness of the techniques.
A study by Ary et al. (1996) categorized qualitative research/method into two distinct forms. Firstly participant observation, where the researcher is a participant of the study. Secondly non-participant observation, where the researcher observes but does not participate. It is in this non-participant observation where one can use the content analysis approach.