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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.