Inferential Analysis - pages 306-312

4 important questions on Inferential Analysis - pages 306-312

1.    Threats to conclusion validity

1.Threats to conclusion validity Threats to conclusion validity are any factors that can lead you to reach an incorrect conclusion about a relationship in your observations. You can essentially make two kinds of errors when talking about relationships:

·Type 1 error: Finding a relationship when there is not one.
·        Type 2 error: Finding no relationship when there is one

What you are observing in research is composed of two major components:

What you are observing in research is composed of two major components: the signal and the noise . The ratio of the signal to the noise is you research is often called the effect size.

Violated assumptions of statistical tests.

Every analysis is based on a variety of assumption about the nature of the data, the procedures you use to conduct the analysis, and the match between these two. If you are not sensitive to the assumptions behind your analysis, you are likely to draw incorrect conclusions about relationships. In quantitative research, this is referred to as violated assumptions of statistical tests.
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General Linear Model (GLM)

A system of equations that is used as the mathematical framework for many of the statistical analyses used in applied social research.

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