Data report overview

The dataset examined has the following dimensions:

Feature Result
Number of observations 362
Number of variables 20

Codebook summary table

Label Variable Class # unique values Missing Description
Participant number, auto-assigned based on rows in data preparation Participant integer 362 0.00 %
Factorial variable manipulating whether the text described AI as having an augmentation that made it rapidly increase in either intelligence or morality Condition factor 2 0.00 %
Perceived intelligence, prior to the augmentation - ‘In general, how intelligent do you think OmegaAI is?’ (1 = not at all; 7= very much) Pre_Intelligent numeric 7 0.00 %
Perceived intelligence in comparison to a human, prior to the augmentation - ’Compared to a human, how intelligent do you think OmegaAI is?’ (-3 = much less than a human; 0 = equal to a human; 3 = much more than a human) Pre_Intelligent_Comparison numeric 7 0.00 %
Perceived morality, prior to the augmentation - ‘In general, how moral do you think OmegaAI would be? That is, how much do you think that it would support the same kinds of ethical values and behaviors that, ideally, humans would agree are important?’ (1 = not at all; 7= very much) Pre_Moral numeric 7 0.00 %
Perceived morality, prior to the augmentation - ’Compared to a human, how moral do you think OmegaAI would be?’ (-3 = much less than a human; 0 = equal to a human; 3 = much more than a human) Pre_Moral_Comparison numeric 7 0.00 %
Perceived trustworthiness, prior to the augmentation - ‘To what extent do you think that OmegaAI would be trustworthy?’ (1 = not at all; 7= very much) Pre_Trust numeric 7 0.00 %
Perceived danger, prior to the augmentation - ‘To what extent do you think that OmegaAI is likely to present a danger to us?’ (1 = not at all; 7= very much) Pre_Danger numeric 7 0.00 %
Perceived intelligence, after the augmentation - ‘As a result of this new breakthrough, how intelligent do you think OmegaAI will now be? That is, how much do you think it can reason, problem solve, and acquire new knowledge?’ (1 = not at all; 7= very much) Post_Intelligent numeric 7 0.00 %
Perceived intelligence in comparison to average person, after the augmentation - ‘As a result of this new breakthrough, compared to a human, how intelligent do you think OmegaAI will now be?’ (-3 = much less than a human; 0 = equal to a human; 3 = much more than a human) Post_Intelligent_Comparison numeric 7 0.00 %
Perceived morality, after the augmentation - ‘As a result of this new breakthrough, how moral do you think OmegaAI will now be? That is, how much do you think that it would support the same kinds of ethical values and behaviors that humans, ideally, would agree are important?’ (1 = not at all; 7= very much) Post_Moral numeric 7 0.00 %
Perceived morality in comparison to average person, after the augmentation - ‘AAs a result of this new breakthrough, compared to a human, how moral do you think OmegaAI will now be?’ (-3 = much less than a human; 0 = equal to a human; 3 = much more than a human) Post_Moral_Comparison numeric 7 0.00 %
Perceived danger, after the augmentation - ‘As a result of this new breakthrough, to what extent do you think that OmegaAI is likely to now present a danger to us?’ (1 = not at all; 7= very much) Post_Danger numeric 7 0.00 %
Perceived trustworthiness, after the augmentation - ‘As a result of this new breakthrough, to what extent do you think that OmegaAI would now be trustworthy?’ (1 = not at all; 7= very much) Post_Trust numeric 7 0.00 %
Attention Check 1 (Tiktok) AttentionCheck character 1 0.00 %
Attention Check 2 (Post-Manipulation) - ‘Earlier in this study you were presented with some information about an AI that changed in some way due to some technique. How was this AI change described?’ (1 = The AI became rapidly more intelligent; 2 = The AI became rapidly more moral; 3 = The AI became less general; 4 = The AI became better at mathematics; 5 = The AI became better at image identification) AttentionTwo character 1 0.00 %
Participant age, in numeric form Age numeric 54 0.00 %
Participant gender recoded to as a factor to be male, female, non-binary/other, and not say Gender factor 4 0.00 %
Self-reported familiarity with AI - ‘How much do you think you know about AI, how it works, and how it is used?’ (1 = not at all; 7= very much) Familiarity numeric 7 0.00 %
Self-reported familiarity with AI, means-centered Familiarity_c numeric 7 0.00 %

Variable list

Participant

Participant number, auto-assigned based on rows in data preparation

Feature Result
Variable type integer
Number of missing obs. 0 (0 %)
Number of unique values 362
Median 181.5
1st and 3rd quartiles 91.25; 271.75
Min. and max. 1; 362

Condition

Factorial variable manipulating whether the text described AI as having an augmentation that made it rapidly increase in either intelligence or morality

Feature Result
Variable type factor
Number of missing obs. 0 (0 %)
Number of unique values 2
Mode “Increased Intelligence”
Reference category Increased Morality

Pre_Intelligent

Perceived intelligence, prior to the augmentation - ‘In general, how intelligent do you think OmegaAI is?’ (1 = not at all; 7= very much)

Feature Result
Variable type numeric
Number of missing obs. 0 (0 %)
Number of unique values 7
Median 5
1st and 3rd quartiles 4.25; 6
Min. and max. 1; 7

Pre_Intelligent_Comparison

Perceived intelligence in comparison to a human, prior to the augmentation - ’Compared to a human, how intelligent do you think OmegaAI is?’ (-3 = much less than a human; 0 = equal to a human; 3 = much more than a human)

Feature Result
Variable type numeric
Number of missing obs. 0 (0 %)
Number of unique values 7
Median 0
1st and 3rd quartiles -1; 1
Min. and max. -3; 3

Pre_Moral

Perceived morality, prior to the augmentation - ‘In general, how moral do you think OmegaAI would be? That is, how much do you think that it would support the same kinds of ethical values and behaviors that, ideally, humans would agree are important?’ (1 = not at all; 7= very much)

Feature Result
Variable type numeric
Number of missing obs. 0 (0 %)
Number of unique values 7
Median 3
1st and 3rd quartiles 2; 4
Min. and max. 1; 7

Pre_Moral_Comparison

Perceived morality, prior to the augmentation - ’Compared to a human, how moral do you think OmegaAI would be?’ (-3 = much less than a human; 0 = equal to a human; 3 = much more than a human)

Feature Result
Variable type numeric
Number of missing obs. 0 (0 %)
Number of unique values 7
Median -1
1st and 3rd quartiles -2; 0
Min. and max. -3; 3

Pre_Trust

Perceived trustworthiness, prior to the augmentation - ‘To what extent do you think that OmegaAI would be trustworthy?’ (1 = not at all; 7= very much)

Feature Result
Variable type numeric
Number of missing obs. 0 (0 %)
Number of unique values 7
Median 4
1st and 3rd quartiles 3; 5
Min. and max. 1; 7

Pre_Danger

Perceived danger, prior to the augmentation - ‘To what extent do you think that OmegaAI is likely to present a danger to us?’ (1 = not at all; 7= very much)

Feature Result
Variable type numeric
Number of missing obs. 0 (0 %)
Number of unique values 7
Median 4
1st and 3rd quartiles 3; 5
Min. and max. 1; 7

Post_Intelligent

Perceived intelligence, after the augmentation - ‘As a result of this new breakthrough, how intelligent do you think OmegaAI will now be? That is, how much do you think it can reason, problem solve, and acquire new knowledge?’ (1 = not at all; 7= very much)

Feature Result
Variable type numeric
Number of missing obs. 0 (0 %)
Number of unique values 7
Median 6
1st and 3rd quartiles 5; 6
Min. and max. 1; 7

Post_Intelligent_Comparison

Perceived intelligence in comparison to average person, after the augmentation - ‘As a result of this new breakthrough, compared to a human, how intelligent do you think OmegaAI will now be?’ (-3 = much less than a human; 0 = equal to a human; 3 = much more than a human)

Feature Result
Variable type numeric
Number of missing obs. 0 (0 %)
Number of unique values 7
Median 1
1st and 3rd quartiles 0; 2
Min. and max. -3; 3

Post_Moral

Perceived morality, after the augmentation - ‘As a result of this new breakthrough, how moral do you think OmegaAI will now be? That is, how much do you think that it would support the same kinds of ethical values and behaviors that humans, ideally, would agree are important?’ (1 = not at all; 7= very much)

Feature Result
Variable type numeric
Number of missing obs. 0 (0 %)
Number of unique values 7
Median 4
1st and 3rd quartiles 3; 5
Min. and max. 1; 7

Post_Moral_Comparison

Perceived morality in comparison to average person, after the augmentation - ‘AAs a result of this new breakthrough, compared to a human, how moral do you think OmegaAI will now be?’ (-3 = much less than a human; 0 = equal to a human; 3 = much more than a human)

Feature Result
Variable type numeric
Number of missing obs. 0 (0 %)
Number of unique values 7
Median 0
1st and 3rd quartiles -1; 1
Min. and max. -3; 3

Post_Danger

Perceived danger, after the augmentation - ‘As a result of this new breakthrough, to what extent do you think that OmegaAI is likely to now present a danger to us?’ (1 = not at all; 7= very much)

Feature Result
Variable type numeric
Number of missing obs. 0 (0 %)
Number of unique values 7
Median 5
1st and 3rd quartiles 3; 6
Min. and max. 1; 7

Post_Trust

Perceived trustworthiness, after the augmentation - ‘As a result of this new breakthrough, to what extent do you think that OmegaAI would now be trustworthy?’ (1 = not at all; 7= very much)

Feature Result
Variable type numeric
Number of missing obs. 0 (0 %)
Number of unique values 7
Median 4
1st and 3rd quartiles 3; 5
Min. and max. 1; 7

AttentionCheck

Attention Check 1 (Tiktok)

  • The variable only takes one (non-missing) value: "9". The variable contains 0 % missing observations.

AttentionTwo

Attention Check 2 (Post-Manipulation) - ‘Earlier in this study you were presented with some information about an AI that changed in some way due to some technique. How was this AI change described?’ (1 = The AI became rapidly more intelligent; 2 = The AI became rapidly more moral; 3 = The AI became less general; 4 = The AI became better at mathematics; 5 = The AI became better at image identification)

  • The variable only takes one (non-missing) value: "Yes". The variable contains 0 % missing observations.

Age

Participant age, in numeric form

Feature Result
Variable type numeric
Number of missing obs. 0 (0 %)
Number of unique values 54
Median 39
1st and 3rd quartiles 30.25; 52
Min. and max. 19; 77

Gender

Participant gender recoded to as a factor to be male, female, non-binary/other, and not say

Feature Result
Variable type factor
Number of missing obs. 0 (0 %)
Number of unique values 4
Mode “Female”
Reference category Female

Familiarity

Self-reported familiarity with AI - ‘How much do you think you know about AI, how it works, and how it is used?’ (1 = not at all; 7= very much)

Feature Result
Variable type numeric
Number of missing obs. 0 (0 %)
Number of unique values 7
Median 4
1st and 3rd quartiles 3; 5
Min. and max. 1; 7

Familiarity_c

Self-reported familiarity with AI, means-centered

Feature Result
Variable type numeric
Number of missing obs. 0 (0 %)
Number of unique values 7
Median 0.39
1st and 3rd quartiles -0.61; 1.39
Min. and max. -2.61; 3.39

Report generation information:

  • Created by: Jim Everett (username: jimeverett).

  • Report creation time: Sun Aug 17 2025 11:54:42

  • Report was run from directory: /Users/jimeverett/Documents/Academic/Research/Current Projects/AI Orthogonality/Orthogonality Data Analysis/Data Preparation

  • dataReporter v1.0.5 [Pkg: 2025-04-13 from CRAN (R 4.5.0)]

  • R version 4.5.1 (2025-06-13).

  • Platform: aarch64-apple-darwin20(Europe/London).

  • Function call: dataReporter::makeDataReport(data = Orthogonality_Study_2a_Data_Summary, render = TRUE, mode = c("summarize", "visualize"), smartNum = FALSE, file = "Study_2a_Codebook.Rmd", replace = TRUE, checks = list( character = "showAllFactorLevels", factor = "showAllFactorLevels", labelled = "showAllFactorLevels", haven_labelled = "showAllFactorLevels", numeric = NULL, integer = NULL, logical = NULL, Date = NULL), listChecks = FALSE, maxProbVals = Inf, codebook = TRUE, reportTitle = "Orthogonality Study 2a Codebook", add.codebook = TRUE, smart.order = FALSE)