#111809 | AsPredicted

'The relationship between dispositional envy, extremism, and conspiracy.'
(AsPredicted #111809)


Author(s)
This pre-registration is currently anonymous to enable blind peer-review.
It has one author.
Pre-registered on
11/04/2022 07:17 AM (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?
Increased dispositional envy is correlated with an increase in generic beliefs in conspiracy theories.
Increased dispositional envy is correlated with an increase in extremism.
Increased extremism is correlated with an increase in generic beliefs in conspiracy theories.
Dispositional envy should account for the effect of extremism on generic beliefs in conspiracy theories.

3) Describe the key dependent variable(s) specifying how they will be measured.
DV: generic beliefs in conspiracy theories.

4) How many and which conditions will participants be assigned to?
Research is correlational in nature, not experimental.

5) Specify exactly which analyses you will conduct to examine the main question/hypothesis.
Linear regression will be used to examine the main hypothesis. PROCESS by Hayes will be used to examine the meditation effect of dispositional envy.

6) Describe exactly how outliers will be defined and handled, and your precise rule(s) for excluding observations.
Participants who report 'not at all' to the question "Please indicate whether you carefully read and responded to the statements in this study (this will not affect your compensation)" will be excluded. Participants completing the survey too quickly (<2.5 SD below mean) will also be excluded.

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.

A total sample of 450 participants will be recruited from Amazon's Mechanical Turk via the participant recruitment platform CloudResearch. This amount ensures nearly twice the amount of participants required to reach ~95% power with alpha set at 0.05 to detect a small effect size of 0.10 in multiple regression. All power analyses are conducted using G*Power 3.1.

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

As of the writing of this pre-registration, the single author of this pre-registration was the only author involved in this research project.

Version of AsPredicted Questions: 2.00