Category: Learning modules
Before studying the application of conceptual framework, we need to first define it. It can be defined as a ‘visual’ presentation of key variables, factors or concepts and their relationship among each other which have been or have to be studied in the research either graphically or in some other narrative form (Miles and Huberman, 1994).
module-54, research design, research methodologyIt measures the correlations between two or more numeric variables. There are two types of correlations; bivariate and partial correlations. While Bivariate Correlations are computed using Pearson/Spearman Correlation Coefficient wherein it gives the measure of correlations between variables or rank orders.
analyse with SPSS, data analysis and conclusion, spss intermediate, spss procedureResearch philosophy is an important part of research methodology. Research philosophy is classified as ontology, epistemology and axiology. These philosophical approaches enable to decide which approach should be adopted by the researcher and why, which is derived from research questions (Saunders, Lewis, & Thornhill, 2009).
module-54, research design, research methodologyThe independent two-sample t-test is used to test whether population means are significantly different from each other, using the means from randomly drawn samples.
analyse with SPSS, anova and manova, data analysis and conclusion, empirical analysis with econometrics, other tests spssCronbach Alpha is a reliability test conducted within SPSS in order to measure the internal consistency i.e. reliability of the measuring instrument (Questionnaire).
analyse with SPSS, analysing with amos, data analysis and conclusion, data testing with spss, empirical analysis with econometrics, other tests spss, spss intermediateANOVA or Analysis of Variance is conducted to determine the significant differences between the means of three or more independent variables.
analyse with SPSS, anova and manova, data analysis and conclusion, empirical analysis with econometrics, other tests spss, research data analysisWe have already discussed about factor analysis in previous article (Factor Analysis using SPSS), and how it should be conducted using SPSS. In this article we will be discussing about how output of Factor analysis can be interpreted.
analyse with SPSS, analysing with amos, data analysis and conclusion, result interpretation, spss advanced, spss expert, spss procedureFactor analysis is used to find factors among observed variables. In other words, if your data contains many variables, you can use factor analysis to reduce the number of variables.
analyse with SPSS, analysing with amos, data analysis and conclusion, spss procedure