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Multiple Regression Analysis in SPSS Multiple regression analysis is an extension of simple linear regression. It is used when the value of a variable needs to be predicted based on the value of two or more other variables. Assumptions Dependent variable should be continuous Two or more independent variables, which can be either continuous or […]
Multinomial Logistic Regression in SPSS Multinomial logistic regression is a simple extension of binary logistic regression that allows for more than two categories of the dependent variable or the outcome variable. Assumptions Dependent variable should be measured at the nominal level with more than or equal to three values. Independence of observations is required and […]
MANOVA Test in SPSS The one-way Multivariate Analysis of Variance (one-way MANOVA) is used to examine the effects of one or more independent variables on multiple dependent variables. Assumption: Two or more dependent variables should be continuous. Dependent variables are multivariates that are normally distributed within each group of the factor variable. Each observation should […]
Logistic Regression in SPSS Logistic Regression is a supervised learning technique, which is used to understand the relationship between a dependent variable and one or more independent variables. Logistic regression is conducted by estimating the probabilities and by using the logistic regression equation. Assumptions Logistic regression requires the dependent variable to be binary, i.e., 0 […]
Linear Regression Analysis in SPSS Linear Regression attempts to model the relationship between two variables by fitting a linear equation to the observed data. Linear Regression is a supervised learning algorithm. Here, we are predicting the dependent variable by using the independent variable. Assumptions Dependent variable should be continuous. A linear relationship must exist between […]
Kruskal-Wallis Test in SPSS Kruskal-Wallis test is used to determine whether there are any statistically significant differences among the means of three or more independent groups. The Kruskal-Wallis test is an alternative test for one-way ANOVA. The Kruskal-Wallis test has the following hypotheses: Null hypothesis: M1 = M2 = M3 (All medians are equal). Alternative […]
Confirmatory Factor Analysis (CFA) in AMOS Confirmatory Factor Analysis (CFA) is a method of Structural Equation Modeling (SEM) that is used to determine the observed variables’ contribution to the latent variables. CFA is conducted for determining the variable of quality of life, which has four sub-constructs, namely, Physical Health, Psychological Health, Environment, and Social Relationships. […]
Chi-Square test in SPSS The Chi-Square test of independence is used to test whether there is an association among categorical variables. Assumptions: The Chi-Square test requires variables to be categorical (ordinal or nominal). Variables should have two or more categories. Here, we have taken two categorical variables, namely, Anxiety and Body mass index. In Anxiety, […]
Exploratory Factor Analysis in SPSS Exploratory Factor Analysis examines the underlying factors that are measured by a number of observed variables. Exploratory Factor Analysis is commonly used by researchers during the development of a scale. In SPSS, Exploratory Factor Analysis is found in Analyze > Dimension Reduction > Factor Then, we will get ‘Factor Analysis’ […]
Independent-Samples T Test using SPSS Independent-Samples T Test is used to compare the means of two groups. The Independent-Samples T Test is also known as Two-Samples T Test. Independent-Samples T Tests have the following hypotheses. Null hypothesis: The means of two populations are equal. Alternative hypothesis: The means of two populations are not equal. Assumptions The dependent variable should be continuous. […]
