The document provides guidance on reporting the results of an ANCOVA analysis in APA format. It recommends including that a one-way ANCOVA was conducted to determine differences between levels of an independent variable on a dependent variable while controlling for a covariate. An example is given using athlete type as the independent variable, slices of pizza eaten as the dependent variable, and weight as the covariate. The document also provides a template for reporting the F-ratio, degrees of freedom, and significance level.
3. Note – the reporting format shown in this
learning module is for APA. For other formats
consult specific format guides.
4. Note – the reporting format shown in this
learning module is for APA. For other formats
consult specific format guides.
It is also recommended to consult the latest APA
manual to compare what is described in this
learning module with the most updated formats
for APA.
6. Reporting the Study using APA
You can report that you conducted a One-way
Analysis of Covariance (ANCOVA) by using the
template below:
7. Reporting the Study using APA
You can report that you conducted a One-way
Analysis of Covariance (ANCOVA) by using the
template below:
A One-way ANCOVA was conducted to determine a
statistically significant difference between [name
levels of the independent variables] on (dependent
variable) controlling for [name the covariate].
9. Here is an example:
A One-way ANCOVA was conducted to determine a
statistically significant difference between football,
basketball, and basketball players on the number of
slices of pizza eaten in one sitting controlling for
weight.
11. Reporting Results using APA
You can report data from your own experiments by
using the example below.
12. Reporting Results using APA
You can report data from your own experiments by
using the example below.
There is a significant effect of athlete type on number
of slides of pizza eaten in one sitting after controlling
for athlete weight, F(2, 26) = 4.83, p < .05
13. Reporting Results using APA
You can report data from your own experiments by
using the example below.
There is a significant effect of athlete type on number
of slides of pizza eaten in one sitting after controlling
for athlete weight, F(2, 26) = 4.83, p < .05
Independent
Variable
with assumed levels
–football, basketball,
soccer players
14. Reporting Results using APA
You can report data from your own experiments by
using the example below.
There is a significant effect of athlete type on number
of slides of pizza eaten in one sitting after controlling
for athlete weight, F(2, 26) = 4.83, p < .05
Dependent
Variable
15. Reporting Results using APA
You can report data from your own experiments by
using the example below.
There is a significant effect of athlete type on number
of slides of pizza eaten in one sitting after controlling
for athlete weight, F(2, 26) = 4.83, p < .05
Covariate
16. Reporting Results using APA
You can report data from your own experiments by
using the example below.
There is a significant effect of athlete type on number
of slides of pizza eaten in one sitting after controlling
for athlete weight, F(2, 26) = 4.83, p < .05
Between Groups
Degrees of
Freedom
17. Reporting Results using APA
You can report data from your own experiments by
using the example below.
There is a significant effect of athlete type on number
of slides of pizza eaten in one sitting after controlling
for athlete weight, F(2, 26) = 4.83, p < .05
Within Groups
Degrees of
Freedom
18. Reporting Results using APA
You can report data from your own experiments by
using the example below.
There is a significant effect of athlete type on number
of slides of pizza eaten in one sitting after controlling
for athlete weight, F(2, 26) = 4.83, p < .05
F ratio adjusted
for covariate
19. Reporting Results using APA
You can report data from your own experiments by
using the example below.
There is a significant effect of athlete type on number
of slides of pizza eaten in one sitting after controlling
for athlete weight, F(2, 26) = 4.83, p < .05
Statistical Significance
adjusted for covariate