Using Pearson correlation test on secondary data in SPSS
Pearson correlation is popularly used for social sciences data like primary data but rarely used for secondary data in SPSS.
analyse with SPSS, spss intermediatePearson correlation is popularly used for social sciences data like primary data but rarely used for secondary data in SPSS.
analyse with SPSS, spss intermediateThis article explains the different correlation and regression analysis values that are generated after conducting the tests. Their meaning, importance and how to interpret them are explained here.
correlation, regression analysis, spss intermediateCorrelation refers to the extent of a relationship between the variables. In order to determine this relationship, it is essential to establish a correlation between the variables.
correlation, research methodology, spss intermediateThe 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 interpretation, spss intermediateCorrelation is a statistical measure that helps in determining the extent of the relationship between two or more variables or factors. For example, growth in crime is positively related to growth in the sale of guns. Growth in obesity is positively correlated to growth in consumption of junk food. However, growth in environmental degradation is […]
correlation, data analysis and conclusion, result interpretation, spss intermediate, 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 intermediate, spss procedureCronbach Alpha is a reliability test conducted within SPSS in order to measure the internal consistency i.e. reliability of the measuring instrument (Questionnaire).
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