When it comes to research in the field of social sciences, the Analysis of Variance test, shortly known as ANOVA is an extremely important tool. It is a technique employed to make a comparison between more than two populations. The most common variants are one-way and two-way ANOVA.
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Two way ANOVA is the test used in SPSS for understanding how the changes in two groups of elements simultaneously affect the third element.
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Structural equation modelling (SEM) is a century-old statistical method that witnessed progression over time. Initially, the model focused only on path analysis. However, with the growth in usage of SEM in social science, the factor analysis technique was integrated into it. Presently SEM is a powerful multivariate technique applicable in scientific investigations to evaluate and test the multivariate casual relationships. The challenge today is that research problems are of different kinds and there are multiple models. Therefore, it is essential to understand the basics before applying structural equation modelling in research.
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In order to decide which SEM method to apply in a study, it is important to first determine whether to treat a variable as a factor or a composite.
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Statistical results are best presented graphically to make it easier for the reader to grasp the meaning of the numbers.
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SEM is used to build structural links between measured variables and latent constructs. This article provides a detailed description of the SEM analysis procedures.
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The thesis introduction chapter summarises the entire research. It specifies the aim and objectives of the thesis at the outset and explains the research gap.
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There are several types of literature review techniques that can be followed in a thesis. They depend on the type of research and the purpose of the study.
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