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You need to formulate a research question and an experimental design, analyse data and write up the study.
1. You will be provided with a data set (based on the design, you select the appropriate dataset) and expected to produce a complete report.
2. Factorial ANOVA: Designing the study.
essentially, the design is up to you. An example unrelated design could be that two factors are suggested to affect students grades (DV). These factors are ‘attendance’ (factor1( and ‘reading’ (factor2). For factor 1, students attend lectures and seminars EITHER regularly or irregularly. That is, students were allocated to one of two groups. When the researcher allocates participants to these distinct groups, this is known as manipulation and is the basis of an experiment because we believe that different groups will produce different outcomes e.g., we hypothesize that more attendance produces higher grades. For factor1, students EITHER read beyond the lectures (more) or did not (less). this manipulation of factor2 (‘reading with two conditions more versus less) is also expected to influence student outcomes. Specifically, students who read more are hypothesized to interact and produce distinct results due to the interaction between the factors.
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