Articles
Getting Started
- Introduction
This page outlines the general purpose and structure of the EASI workflow.
OneWay (Between-Subjects) Analyses
- OneWay Data Exploration
This page examines a single-factor between-subjects (one-way) design using raw data input, focusing on exploratory data analyses.
- OneWay Data Traditional
This page examines a single-factor between-subjects (one-way) design using raw data input, focusing on omnibus and pairwise analyses.
- OneWay Data Contrasts
This page examines a single-factor between-subjects (one-way) design using raw data input, focusing on comparisons and contrasts.
- OneWay Data Advanced
This page examines a single-factor between-subjects (one-way) design using raw data input, adding data, color, and plausibility curves to plots of comparisons and contrasts.
- OneWay Summary Traditional
This page examines a single-factor between-subjects (one-way) design using summary statistics input, focusing on omnibus and pairwise analyses.
- OneWay Summary Contrasts
This page examines a single-factor between-subjects (one-way) design using summary statistics input, focusing on comparisons and contrasts.
- OneWay Summary Advanced
This page examines a single-factor between-subjects (one-way) design using summary statistics input, adding color and plausibility curves to plots of comparisons and contrasts.
Repeated Measures (Within-Subjects) Analyses
- Repeated Data Exploration
This page examines a single-factor within-subjects (repeated measures) design using raw data input, focusing on exploratory data analyses.
- Repeated Data Traditional
This page examines a single-factor within-subjects (repeated measures) design using raw data input, focusing on omnibus and pairwise analyses.
- Repeated Data Contrasts
This page examines a single-factor within-subjects (repeated measures) design using raw data input, focusing on comparisons and contrasts.
- Repeated Data Advanced
This page examines a single-factor within-subjects (repeated measures) design using raw data input, adding data, color, and plausibility curves to plots of comparisons and contrasts.
- Repeated Summary Traditional
This page examines a single-factor within-subjects (repeated measures) design using summary statistics input, focusing on omnibus and pairwise analyses.
- Repeated Summary Contrasts
This page examines a single-factor within-subjects (repeated measures) design using summary statistics input, focusing on comparisons and contrasts.
- Repeated Summary Advanced
This page examines a single-factor within-subjects (repeated measures) design using summary statistics input, adding color and plausibility curves to plots of comparisons and contrasts.
Factorial (Between-Subjects) Analyses
- Factorial Data Traditional
This page examines a two-factor between-subjects (factorial) design using raw data input, focusing on omnibus and simple effects analyses.
- Factorial Data Contrasts
This page examines a two-factor between-subjects (factorial) design using raw data input, focusing on comparisons and contrasts.
- Factorial Summary Traditional
This page examines a two-factor between-subjects (factorial) design using summary statistics input, focusing on omnibus and simple effects analyses.
- Factorial Summary Contrasts
This page examines a two-factor between-subjects (factorial) design using summary statistics input, focusing on comparisons and contrasts.
Mixed (Between-Subjects and Within-Subjects) Analyses
- Mixed Data Traditional
This page examines a two-factor mixed design (one between-subjects and one within-subjects factor) using raw data input, focusing on omnibus and simple effects analyses.
- Mixed Data Contrasts
This page examines a two-factor mixed design (one between-subjects and one within-subjects factor) using raw data input, focusing on comparisons and contrasts.
- Mixed Summary Traditional
This page examines a two-factor mixed design (one between-subjects and one within-subjects factor) using summary statistics input, focusing on omnibus and simple effects analyses.
- Mixed Summary Contrasts
This page examines a two-factor mixed design (one between-subjects and one within-subjects factor) using summary statistics input, focusing on comparisons and contrasts.
Correlation and Regression Analyses
- Repeated Data Correlations
This page analyzes a set of correlations among variables using raw data input.
- Repeated Summary Correlations
This page analyzes a set of correlations among variables using summary statistics input.
- Bivariate Data Regression
This page analyzes bivariate regression models using raw data input.
- Bivariate Summary Regression
This page analyzes bivariate regression models using summary statistics input.