#94407 | AsPredicted

'Just Stop Oil 2022 Survey Analysis'
(AsPredicted #94407)


Created:       04/18/2022 06:47 AM (PT)

This is an anonymized version of the pre-registration.  It was created by the author(s) to use during peer-review.
A non-anonymized version (containing author names) should be made available by the authors when the work it supports is made public.

1) Have any data been collected for this study already?
It's complicated. We have already collected some data but explain in Question 8 why readers may consider this a valid pre-registration nevertheless.

2) What's the main question being asked or hypothesis being tested in this study?
Climate change concern, Public awareness of fossil fuel impacts, Public support of government action to stop fossil fuels, Public discontent with government climate policy, Willingness of people to take action on climate issues, and Awareness of Just Stop Oil protests will all increase from Time 1 (Before) to Time 2 (During). Oppositional narrative will not change.

3) Describe the key dependent variable(s) specifying how they will be measured.
Item numbers refer to the numbers given to items in the questionnaire document at https://docs.google.com/document/d/1A48zCk3hkKHSHBJmLc4KK-Y3q7FaMLUvsnIlyoGtyW8/edit?usp=sharing.

Climate change concern: mean of items 1 and 2.
Public awareness of fossil fuel impacts: single item, 3.
Public support of government action to stop fossil fuels: mean of items 4, 5, and 6.
Oppositional narrative: mean of items 7 and 8.
Public discontent with government climate policy: single item 9 (reversed).
Willingness of people to take action on climate issues: mean of items 10a to 10f.
Awareness of Just Stop Oil: single item, 11.

For constructs with >2 items, the mean will be computed if Cronbach's alpha >= .7. If alpha < .7, then items will be dropped (in reverse order of item-total correlation) until an alpha level of 0.7 is reached. For 2-item constructs, a mean will be computed if Pearson's r >= .5. If the above criteria are not reached, only the single last-numbered item will be used, except that for Willingness of people to take action, an exploratory factor analysis will be conducted with Jamovi default parameters and Varimax rotation, and identified subscales analysed as per above.

4) How many and which conditions will participants be assigned to?
No conditions - no experimental aspect.

5) Specify exactly which analyses you will conduct to examine the main question/hypothesis.
For each DV and time-point comparison, an independent samples t-test with bootstrapped p-value with 99,999 samples will be calculated. 95% confidence intervals on Cohen's d will also be constructed, with limit intervals also bootstrapped using 99,999 samples.

6) Describe exactly how outliers will be defined and handled, and your precise rule(s) for excluding observations.
All participants will be included but means will only be calculated if at least half of items that were responded to were not missing (e.g. "don't know"), otherwise the mean will be missing.

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.

Approximately 2,000 participants for all 3 waves.

8) Anything else you would like to pre-register?
(e.g., secondary analyses, variables collected for exploratory purposes, unusual analyses planned?)

Data for Waves 1 and 2 have already been collected