Which is a special case of a paired t test?

Which is a special case of a paired t test?

We know that a paired t -test is just a special case of one-way repeated-measures (or within-subject) ANOVA as well as linear mixed-effect model, which can be demonstrated with lme () function the nlme package in R as shown below. When I run the following paired t-test:

Can a mixed model have two independent variables?

Mixed model ANOVAs are not limited to dichotomous independent variables. For example, they can contain within-subjects independent variables with more than two levels.

Which is a special case of linear mixed effect model?

Paired t-test as a special case of linear mixed-effect modeling. We know that a paired t-test is just a special case of one-way repeated-measures (or within-subject) ANOVA as well as linear mixed-effect model, which can be demonstrated with lme() function the nlme package in R as shown below.

When to use mixed model analysis of covariance?

Thus, the researchers decide to measure parental income and to account for the effects of this variable in the statistical analysis. Here, a mixed model ANOVA with a covariate—called a mixed model analysis of covariance (or mixed model ANCOVA)—can be used to analyze the data.

Can a mixed model be used for missing data?

The mixed model will retain the 70 people who have data for only one time point. It will use the 48 people with pretest-only data along with the 90 people with full data to estimate the pretest mean.

When to use the t test in statistics?

The t-test can be used to determine if two sets of data are significantly different from each other. The t-test is most commonly applied when the test statistic would follow a normal distribution if the value of a scaling term in the test statistic were known.

Why is the LME model better than the cell mean model?

The reason is that the lme model seems to have more parameters for the random components than the cell mean model above offers. At least the lme model provides exactly the same F-value, degrees of freedom, and p-value as well, which gls cannot.