Roadmap: Face Inversion
Overview:In this project you will attempt to replicate a classic study on face perception (Yin, 1969).
You will collect, analyze, and report data from a simple face perception experiment. Data will be analyzed using Excel/Jamovi.
Briefly describe the issue at hand (face inversion, face perception), the experiment, the results, and a key take away point/direction for future research.
It should not contain new info that is not in the rest of the paper
A. Opening section: (starting broad)
Why should anyone care about this research?
Discuss a real-world example of the general phenomena under investigation by the paper (face inversion, face perception)
Define key concepts and terms
B. Middle section: Prior work
Discuss some examples of previous research that is similar to the present research. You have an opportunity here to look this kind of research up on Google Scholar. One or two examples ought to be enough.
C. Final section: (briefly explain the present aims, the experiment and what you expect to find)
Briefly explain what the participants will be doing in the task
Explain the empirically based hypotheses behind the present replication attempt. Cite prior research and give predictions for performance
Procedure
What was the experimental design
What were the independent variable(s) and number of levels per factor
What were the dependent variable(s)
How were the stimuli for each trial chosen
Describe the steps each participant took to complete the experiment (briefly in paragraph form)
How many study phases were there? (ie. study and test phase)
How did you analyze data
Discussion
The discussion can be used to briefly restate verbally the pattern of the most important results, and then to relate the results to theory and ideas developed in the introduction
Highlight the main findings from the experiment (1-2 sentences)
Was your hypothesis supported? Are your results similar to prior research?
Include citations (The within subjects a NOVA indicated that there was a main effect of object F (1,48)=51.88, p<0.05 and F (1,48)=23.36, p<0.05. People had fewer error for recognizing faces then houses. There is also a interaction effect of object and orientation F (1,48)=8.64, p<0.05). People did better on the upright orientation then they did inverted.
According to the means listed in table 1, 32.1 upright and 38.4 inverted. However a finding that is consistent with prior research there is a greater difference in error rates between upright faces and inverted faces.
Broaden your discussion. Can the findings be explained by an alternative theory?
What can these findings be generalized to in the real world? Are there important confounds that prevent us from interpreting our results? Include citations.
What are some limitations and strengths of the current study. Include citation to support one of the limitations you suggest.
Suggestions for future research
Table 1.
Create a figure or a table that shows mean accuracy (or error rate) for recognizing faces and houses in the upright and inverted orientation
