for the given SPSS dataset:
Independent variables (IVs): age, gender, and tenure. The IVs should be referred to as Factor A, Factor B, and Factor C, where: Factor A = Age (younger or older); Factor B = Tenure (short-term or long-term), and; Factor C = Gender (male and female).
One dependent variable (DV) -resistance to change
Age, tenure, and gender are represented as categorical independent variables, and resistance to change (RTC) is to be treated as a continuous dependent variable
Factorial ANOVA should be conducted with three independent variables (IVs) (age, tenure, and gender). The group main effects and interactions in the factorial ANOVA should be measured using Factor A, B, and C.
Compute three main effects (A, B, C); three two-way interactions (AB, AC, BC), and one three-way interaction (ABC).
Also show computations for determining the relevant mean squares (MS) for the main effects, two-way interactions, and the three-way interaction.
explain if there is a statistical significance in regards to age and RTC; gender and RTC; tenure and RTC; or combinations of age, gender, tenure and RTC.
Step by step method for computing test statistic for three way ANOVA in SPSS is given in the answer.