Final answer:
To interpret results of complex designs without an interaction effect, descriptive and inferential statistics are used to summarize and test data, with results presented in tables or graphs, and ethical considerations are respected.
Step-by-step explanation:
When interpreting the results of complex designs without an interaction effect, researchers typically begin with descriptive statistics to summarize the data, followed by inferential statistics such as ANOVA or regression analysis to test for significant differences or relationships among variables. If an interaction is not present, the main effects are considered on their own. The results are described and visualized through tables or graphs, and statistical significance is determined, often considering a threshold probability (e.g., p < 0.05) for Type I errors to conclude if a truly significant effect exists. Ethical considerations are also imperative, ensuring that the experimental design respects the welfare of participants.