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Chapter

Chapter 7 - Experimental Design I: Single-Factor Designs (DETAILED NOTES)

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Department
Psychology
Course
PSYC 2030
Professor
Rebecca Jubis
Semester
Winter

Description
Chapter 7: Experiment Design I Single Factor Designs: factor refers to IV. one independent variable designs. The simples single factor design is one with 1 IV and 2 levels. Analyzing data: represent descriptive statistics. However, perform inferential statistics. How confident can you be of your results? Are they due to chance or are they real? The solution to this is inferential statistics. t-test for independent groups: is used for independent group designs and ex-post facto group designs (non-equivalent group designs) t-test for related/dependant groups: is used for matched group designs or repeated measures designs. Independent Groups Design is a between-subjects design that uses a manipulated IV and has at least two groups of participants. Subjects are randomly assigned to the groups. Matched Groups Design is a between-subjects design that uses a manipulated IV and has at least two groups of participants. Subjects are matched on some variable assumed to affect the outcome before being randomly assigned to the groups. Non-equivalent Groups Design is a between-subjects design with at least two groups of participants that uses a subject variable or that creates groups that are non-equivalent. Repeated Measures Design is another name for a within-subject design. Participants are tested in each of the conditions in the experiment. Between Subject Multi-level Designs: (more than 2 levels of the IV) Allows you to detect non-linear effects. Representing data: Present your results in sentence from (only for basic studies). If you have a table, do not duplicate with graph. Have a graph such as a bar, histogram or line graph. The IV is always on the x- axis. The DV is always on the y-axis. If you have more than one IV, use a different colour. One graph usually deals with o
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