In your own words (do not use any quotes), explain the difference between statistical significance and practical significance and explain how each of these can be evaluated/reported.

Q1

In your own words (do not use any quotes), answer the following:

What does variance represent when considering ANOVAs?
What underlies the logic behind how variance is partitioned in a one-way between groups ANOVA?
Why are repeated measures ANOVAs more powerful than between groups designs? Answer in terms of variance in the data.

Q2

Provide a brief yet thorough description of what research design and quantitative analyses you would use for the following scenarios.

A researcher is investigating the effectiveness of a new therapy developed to treat Nomophobia, a fear of being without a mobile phone. The researcher has a scale that measures the level of Nomophobia (higher scores = higher levels of Nomophobia) and 150 volunteer sufferers of Nomophobia. The therapy can be performed on groups and consists of a single two-hour session.

A researcher and her colleagues have assembled 100 questions that they believe cover all the facets of the construct buffoonery. They want to use these questions to develop a new Buffoonery Scale.

Q3

In your own words (do not use any quotes), answer the following:
Why can outliers be problematic?
Why should we bother checking the assumptions for parametric tests (e.g., ANOVAs, multiple regression, etc.)?
Why should we report effect sizes and/or confidence intervals with our p values?

Q4

In your own words (do not use any quotes), explain the difference between statistical significance and practical significance and explain how each of these can be evaluated/reported.

Provide an example of how you might have statistical significance but not practical significance within the same study.

Q5

A researcher was interested to see how Egoistic (values power and wealth), Altruistic (values equality and human welfare), and Biospheric (values all living things) value orientations predicted pro-environmental behaviour. Higher scores on these measures equals higher value orientations and more pro-environmental behaviour.

Write up a results section for this study in APA 7th style using the below SPSS output.

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