Test H1 and report the results consistent with the result section in the corresponding lecture

INSTRUCTIONS TO CANDIDATES

ANSWER ALL QUESTIONS

Individual Assignment #3 Experimental analysis and design Deadline: This assignment is individual. You should submit a PDF document on CANVAS 

Content: The PDF should contain:

• Name and ERNA ID

• Part A: a short report (maximum 2 pages, penalty if too long)

• Part B: one working link to your video recording (maximum 2 minutes, penalty if too long)

• Appendices such as R code (see appendix 1 of this document), references or other. No page limit for the appendices. No specific formatting requirements for this section.

• Format: Single-spaced, regular margins, Times New Roman or Arial, Font 11 or 12.

Instructions Part A: short report (50% of the assignment grade) In this experiment, researchers replicate the design from a recent experiment1 . The researchers tested whether an “ugly” label (vs. no label) increased the likelihood that consumers purchase unattractive produce. The researchers used a 2 (“ugly” label vs. no label) vs. 2 (steep discount vs. moderate discount) between-subject experiment, with N = 400 participants. The stimuli are presented below.

Dependent variable (measured) “likelihood”: Likelihood to purchase unattractive produce measured on a 5-point scale ranging from 1 = “Definitely Box A” to 5 = “Definitely Box B”, with 3 = “Indifferent” Hypotheses H1: “Ugly” labeling (vs. no specific label) increases the likelihood that consumers purchase unattractive produce H2: The positive effect of “ugly” labeling on purchase is moderated by the depth of price discount, such that “ugly” labeling is most effective when associated with a moderate (vs. steep) discount H3: The positive effect of “ugly” labeling on purchase is moderated by vegetable consumption frequency, such that “ugly” labeling is most effective when vegetable consumption frequency is high (vs. low) Questions to include in your report

Q1. Test whether age and gender differ between the “ugly” labeling and no labeling conditions

Q2. Test H1 and report the results consistent with the result section in the corresponding lecture

Q3. Test H2 and report the results consistent with the result section in the corresponding lecture

Q4. Test H3 and report the results consistent with the result section in the corresponding lecture Opening the data with R The beginning of your R code should look like this. The parts in highlighted in yellow must be removed and replaced by new information specific to your case.

Attachments:

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