The theory testing paper will cover the following points:
• Theory & hypotheses
• Present a theory that you are planning to test.
• Cite a few key articles
• From the theory, derive clear hypotheses that can be tested in an experiment
• a few paragraphs
• Unit of analysis
• What is your unit of analysis? 1-2 sentences
• What is the most important way that your unit of analysis is nested, if it is nested (e.g.
students inside classrooms, towns inside provinces, people inside towns, people inside ethnic groups), 1 paragraph
• Randomization
• Across which units will decided to randomize, and why?, 1 paragraph
• Variables
• Description of outcome variable 1
• What is the variable?, 1-2 sentences
• Why does this variable offer a good signal of the underling outcome of interest?, 1 sentence to 1 paragraph
• How will you get the data? (if it is a survey, what is the question? if it is remote sensed, what tool would be used? if it is a biomarker, how will it be taken?), 1 paragraph
• What is the variable’s level of measurement and expected range?, 1-2 sentences
• Description of outcome variable 2
• What is the variable?, 1-2 sentences
• Why does this variable offer a good signal of the underling outcome of interest?, 1
sentence to 1 paragraph
• How did you get the data? (if it is a survey, what is the question? if it is remote sensed, what tool would be used? if it is a biological measure, how will it be taken?), 1 paragraph
• What is the variable’s level of measurement and expected range?, 1-2 sentences
• Description of treatment variable(s)
• What is the variable?, 1 sentences to 1 paragraph
• How will the treatment be applied? (not how will randomization be done, but if a unit is in the ‘treatment’ group then what will happen?), 1 paragraph
• How many treatment groups are in your study (maybe you’re testing two treatments, or two ‘doses’ of the same treatment), 1 sentence to 1 paragraph
• Description of other variables of interest
• Briefly describe the other independent variables of interest, 1-2 paragraphs
• A variable is of interest if you think it might interact with the treatment to change the treatment effect, or if it might predict people differentially dropping out of the study, among other reasons
• Summary statistics and data quality
• Present a table of summary statistics for your variables (mean, standard deviation) • Discuss if any variables seem atypical. If any look atypical, what did you do?
• Are there any missing values? If so, how did you deal with that?
• Does it seem like your randomization created balance across the treatment and control group? (do the mean IV values look roughly the same? Are they significantly different?)
• Analysis
• In plain but precise language, describe your original analysis plan and if you deviated from it (e.g. comparing average outcomes in some DV across the treatment and control group), 1 sentence to 1 paragraph
• Conduct appropriate statistical tests to see:
• 1. How big is the difference in your outcomes across your various experimental groups,
• 2. Are those differences statistically significant.
• Show the key results graphically. Make the graphs both readable and pretty. Briefly describe the key results in the graphs, 2-3 paragraphs.
• Report any other interesting exploratory findings that you uncovered in your analysis. You can but do not have to do this with graphs., a few paragraphs
• In plain but precise language, summarize your result(s). Relate your results back to your hypotheses and theory., 2-4 paragraphs
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