Can we take two levels (binary) dependent variable in ANOVA?

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Optimum conditions for Cell cycle analysis via flow cytometry?

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AMD in NAMD or flooding in GROMACS?

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Can we classify HV and LV lines based on line length?

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What test should I use to compare two or three means, if data is not normally distributed but sample size is > 30 in each group?

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Distribution of particles in metal matrix?

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How to examine multicolineairty in backwards regression with binary variables?

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Are there SDMs that can take in percentage data?

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What are the popular techniques for pre-processing measurement data in Smart Grid/Power System?

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How can I multiply values with standard distribution and with triangular distribution?

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How to compare expected and counted values statistically with different p values for each genotype?

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How to check normal distribution in a cell viability test?

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Blaine Tomkins

Zoiya Naz ANOVA requires the dependent variable be measured on a continuous scale. I recommend binary logistic regression.

Kareem Omran

A two-way ANOVA does not assume there is no interaction between factors.

Also, the data do not meet assumptions of ANOVA since the dependent variable has two levels (i.e., it is not continuous).

I'm afraid you're mistaken. The dependent variable is not categorical in an ANOVA (one-way or two-way).

https://statistics.laerd.com/spss-tutorials/two-way-anova-using-spss-statistics.php

The independence assumption has nothing to do with interaction effects. This assumption means that observations in one cell/group are unrelated to (i.e., independent of) the observations of other cells/groups. In other words, each participant is in one (and only one) cell or condition. This differs from, say, a repeated-measures ANOVA.