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How to apply the two way ANOVA test in SPSS?
Two way ANOVA is the test used in SPSS for understanding how the changes in two groups of elements simultaneously affect the third element.
analyse with SPSS, anova and manova, empirical analysis with econometrics, other tests spssInterpreting MANOVA test with more than one dependent variable
This article explains how to interpret the results derived from the MANOVA test and overcome the major issues witnessed while performing it.
analyse with SPSS, anova and manova, data analysis and conclusion, empirical analysis with econometrics, spss procedureHow to change components in the rotated component matrix table of a factor analysis test?
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 spssHow to work with a moderating variable in the regression test with SPSS?
Influencing 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, empirical analysis with econometrics, other tests spss, regression analysis, regression with SPSSHow to perform T-Test statistics in SPSS?
T-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, anova and manova, empirical analysis with econometrics, other tests spss, spss beginnerHow to interpret results from the correlation test?
Correlation is a statistical measure that helps in determining the extent of the relationship between two or more variables or factors.
correlation, data analysis and conclusion, data testing with spss, empirical analysis with econometrics, result interpretation, spss intermediate, spss procedureHow to test time series multicollinearity in STATA?
The problem of multicollinearity arises when one explanatory variable in a multiple regression model highly correlates with one or more than one of other explanatory variables. It is a problem because it underestimates the statistical significance of an explanatory variable (Allen, 1997).
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