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Research Methods Exam Revision

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Research Methods Revision Quiz

Are you preparing for your research methods exam? Test your knowledge and refine your understanding with this comprehensive quiz designed specifically for students! Gain insights into key concepts such as independent variables, experimental designs, and statistical tests.

12 multiple choice questions
Instant feedback on answers
Perfect for revision or self-assessment

12 Questions3 MinutesCreated by LearningLab247

What is the independant variable?

The variable that is measured?

When there is no connection between conditions?

The variable that is manipulated or changed?

What is a within subjects design?

Participants are separated and exposed to different conditions or treatment?

The variable of a study that is measured?

All participants are exposed to the same treatment or condition?

What are the levels of the experiment?

Conditions or groups that make up the experiment?

The method of statistical analysis used?

The variable that is measured?

What is an outlier?

Someone who Lays outside?

A value much larger or greater than the other values in a dataset?

The statistical average of a dataset?

What calculation can be used to check for outliers?

Cohens D?

Z Scores?

Anova?

When would it be appropriate to test for homoginaity of variance?

Between Subjects Design?

Within Subjects design?

When there is no connection between conditions?

What is Cohens D?

Measure of affects size?

A test for outliers?

Testing homogeneity of variance?

What is a Z score?

Homogeneity of variance?

A way of testing for outliers?

Measuring affect size?

What is homogeneity of variance?

A test to measure outliers?

Variance between the two conditions are equal in relation to the mean?

The there is a connection between the two conditions?

What rules can a researcher use to check for homogeneity of variance?

Equal sample size = No more than 4 time greater, unequal = no more than 2 times greater?

1.5 times greater, 0.05 times greater?

3 time greater, 6 times greater?

What is a paired samples T test?

A way of testing for outliers?

A way of testing the difference between the means of two groups?

A way of testing homogeneity of variance?

How would we report statistical justification for a T test?

T(Degrees of freedom)=t score, p <0.01, d=?, One or Two tailed test

P(t score), Degrees of freedom, d=?, p <0.01, One or two tailed test?

One or two tailed test, t(degrees of freedom) = p score, t <0.01, d=?

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