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quantrma_lab's Introduction

These course materials were used during academic year 2020/2021. The materials will stay online for the foreseeable future, but will no longer be updated. A new course website will be created for academic year 2021/2022.

Important notes

This is the lab manual for Quantitative Research Methods & Analysis at EUC. As with the textbook, this manual was adapted from "Answering questions with data" by Mattew J.C. Crump.

The original text is part of a larger OER (Open Educational Resource) course for teaching undergraduate statistics in psychology. As such, the text assumes you are a psychology student and many of the examples are drawn from the field of psychology. This does not mean that this course is only useful for you if you have an interest in psychology. The field of psychology will serve as a vehicle to teach you important concepts and skills in quantitative research methods and data analysis, but the concepts and skills taught are universal.

This manual provides the exercises we will work on during labs. We use open-data sets that are usually paired with a primary research article. The manual is a free and open resource. See below for more information about copying, making change, or contributing to the lab manual.

Attributions

The original lab manual was authored by Matt Crump with exercises adapted and expanded from Open Stats Labs.

CC BY-SA 4.0 license

All resources are released under a creative commons licence CC BY-SA 4.0. Click the link to read more about the license, or read more below:

This license means that you are free to:

  • Share: copy and redistribute the material in any medium or format
  • Adapt: remix, transform, and build upon the material for any purpose, even commercially.

The licensor cannot revoke these freedoms as long as you follow the license terms.

Under the following terms:

  • Attribution: You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
  • ShareAlike: If you remix, transform, or build upon the material, you must distribute your contributions under the same license as the original.
  • No additional restrictions: You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.

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