LabWriteUp is a report writing application for students and researchers in science

 


LabWriteUp Home

New Project

Author Details

Open & Save Files

Design

Title

Aims & Hypothesis

Participants

Materials

Procedure

Results

Introduction

Discussion

Abstract

References

Build Report

APA Style Check

Export
to Word

Abbreviations

Quotations

Link words

 

Multiple Regression

LabWriteUp can produce textual descriptions and results tables of multiple regression analyses. The textual description informs the reader of the overall model. Example from Fulcher et al. (2007): "The overall regression was statistically significant and R square = .181 [Multiple R = .452; F (7, 107) = 3.158, p < .005]". The table informs the reader of the contributions of the predictor variables in the model and their level of statistical significance.

As an example, consider an experiment by Fulcher, et al. (2007) in which a child's trait anxiety level as well as the anxiety of their parents were tested to see if they could predict an attentional bias in a dot-probe design. There were seven predictors in all, BAI of the mother, BAI of the father, and measures from the child: anxiety disorder index, physical symptoms, harm avoidance, social anxiety, and separation anxiety.

In LabWriteUp, we enter the following data:

To get LabWriteUp to produce a table of this data automatically, select 'Table this':

When you select 'Save and Preview' you can see the textual description of the analysis that LabWriteUp generates:

This section can also be used to present the results of a simple regression model, but it is not suitable to present data from a logistic regression.

Next >> One Variable Chi-square

 

When there are many significant predictors in a multiple regression, it is better to present them in a table rather than describe them in the text.