For the introduction section, you are essentially writing background information on stimulus generalization and peak shift from the articles in the Paper 3 folder.

For the Methods section, Id use the write up  posted explaining the study or the study instructions.  They will give you a pretty good idea of what to write about for that section and include the total number of participants and number of participants for each condition.

In this paper, you have 3 analyses that are being done.  Analysis 1 compares the accuracy of the discrimination phase of the training, analysis 2 compares the means of the generalizations data, and analysis 3 is looking at the percentage of the time participants respond at various risk levels.

So for your results section, you will write out the results of each of those analysis in numbers and words  (like paper 2).  In analyses 1 and 2, you will report the F values F(df, df) = ?, p ?.  The analysis for 1 is about which (if any) conditions had significant differences.  The row analysis compares the high risk S- to the low risk S- and the column analysis compares the covid 19 information condition to the control condition, and the r x c analysis compares the interaction between high/row risk S- and the participant receiving covid info or not.  In the video for Analysis 1,  mentions that all 3 analyses are not statistically significant.  (if they were statistically significant, then you could use the means to determine which of those condition options resulted in more accurate reponses).

For analysis 2, you are comparing the means of the generalizations data.  Like Analysis 1, the row analysis is comparing the high risk S- to the low risk S- condition, the column analysis is comparing the covid 19 information condition to the control condition, and the r x c analysis compares the interaction.  Then determine which are significant or not.  If you find statistically significant differences, then you can use the means of the 4 conditions to determine which training type or information type results in higher/better accuracy (or whatever the goal of that particular analysis was) etc.  Note: the r x c will not be significant (yay!) so you dont have to interpret that other than by mentioning in the results section that that interaction was not significant.

Dont forget to include the means of the 4 conditions (and the standard error) for Analysis 1 and 2 as well.

For Analysis 3, you are not using the ANOVA calculator, but instead are making 2D line graphs in Excel for each condition.  You should end up with 4 different graphs.  Dont forget to include graph title and x/y axis labels. In the results section of the paper, you will be.  The 4 graphs will become Figure 1 that is at the end of full Paper 3. In the results section, you are essentially using the graphs to guide you in determining how accurate the participants were for the target risk level they were trained to find (Risk level 7 was the S+ or the target level).  In the discussion section, you will include comments about the shape of line graph (ie: where the peaks are and what those peaks mean).

Students should cite at least four articles in their paper. The articles can be cited in the Introduction and/or Discussion sections of the paper. As was the case with Paper 1, students should use research articles to support the claims they  make in the text. Listed below are copies of articles that students may wish to use in their paper. Students are not required, however, to use some/all of these articles; students are also free to perform their own search of the literature