Author(s) Maria Langlois (Cox School of Business, Southern Methodist University) - langlois@smu.edu Pierre Chandon (INSEAD) - pierre.chandon@insead.edu
Pre-registered on 2023/01/10 - 12:55 PM (PT)
1) Have any data been collected for this study already? No, no data have been collected for this study yet.
2) What's the main question being asked or hypothesis being tested in this study? Participants that see a photo of a natural environment will be more likely to select a natural, healthy snack as their top (#1) choice for a snack (over a diet, light snack or tasty, indulgent snack) when compared to participants that see a photo of an urban environment
3) Describe the key dependent variable(s) specifying how they will be measured. The key dependent variable is a multiple-choice task where participants determine their top priority for a snack at the setting depicted in the photo. There are 3 snack type options: 1) a natural, healthy snack, 2) a diet, light snack, and 3) a tasty, indulgent snack
4) How many and which conditions will participants be assigned to? Between-subjects design with random assignment to either the nature or urban condition
5) Specify exactly which analyses you will conduct to examine the main question/hypothesis. To test that there exists a difference in binomial proportions (nature as top priority vs. not), between our 2 independent groups (nature vs. urban), we will use a chi-square test
6) Describe exactly how outliers will be defined and handled, and your precise rule(s) for excluding observations. Participants will be excluded: if they indicate that they are not using an eligible device, if meta-data reveals an operating system or desktop resolution that is likely to be a cell phone/tablet, and if they failed the attention check (which consists of a photo recall question)
7) How many observations will be collected or what will determine sample size? No need to justify decision, but be precise about exactly how the number will be determined. We plan on recruiting 1200 participants online for this study
8) Anything else you would like to pre-register? (e.g., secondary analyses, variables collected for exploratory purposes, unusual analyses planned?) For exploratory purposes, we will ask about participants' residential environment (i.e., urban, suburban, or rural) in order to look for differences in nature's effects across populations that reside in different areas
