Apart from the KMO and Bartlett’s test table, the most important output while running the factor analysis test in SPSS is the rotated component matrix table.
analyse with SPSS, other tests spssInfluencing or control variables are said to be a moderating variable and the effect of these interactions is represented as an interaction effect
analyse with SPSS, regression analysisT-Test statistics, which is also known as student’s T-Test, was first developed by William Sealy Gosset in the year 1908.
analyse with SPSS, other tests spssThe test found the presence of correlation, with most significant independent variables being education and promotion of illegal activities. Now, the next step is to perform a regression test.
analyse with SPSS, exploratory model analysis, result interpretationK- Nearest Neighbor, popular as K-Nearest Neighbor (KNN), is an algorithm that helps to assess the properties of a new variable with the help of the properties of existing variables. KNN is applicable in classification as well as regression predictive problems.
analyse with SPSS, classification in supervised learning, Supervised learning, trend discoveryIn continuation to my previous article, the results of multivariate analysis with more than one dependent variable have been discussed in this article.
analyse with SPSS, data analysis and conclusion, spss procedureThe normal linear regression analysis and the ANOVA test are only able to take one dependent variable at a time. So one cannot measure the true effect if there are multiple dependent variables. In such cases multivariate analysis can be used.
analyse with SPSS, data analysis and conclusion, spss procedureIt 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 procedure