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truthiness (version 1.2.5)

Illusory Truth Longitudinal Study

Description

Data and functions for analyzing and simulating illusory truth datasets, developed as part of a longitudinal study by Henderson, Barr, and Simons (2020). The illusory truth effect is the observation that people rate repeated statements as more likely to be true than novel statements. We tested the trajectory of the illusory truth effect by collecting truth ratings for statements repeated across four time intervals: immediately, one day, one week, and one month following initial presentation. The package contains the anonymized data from the study along with stimulus materials, as well as functions for analyzing the data, running simulations, and calculating power. Further details about the project are available at , which includes Stage 1 of the Registered Report at the Journal of Cognition ().

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install.packages('truthiness')

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8

Version

1.2.5

License

CC BY 4.0

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Maintainer

Dale Barr

Last Published

May 24th, 2021

Functions in truthiness (1.2.5)

gen_data

Simulate Truth Rating Data
flag_fake

Flag Subdirectory as Having Simulated Data
reproduce_analysis_sim

Simulate the Analysis for Longitudinal Illusory Truth Study
validate_filenames

Validate Simulated Data Filenames
run_equiv

Fit CLMM and Run Equivalence Test
warn

Warn About Simulated Data
power_sim

Run Power Simulations
power_equiv

Power Simulation For Equivalence Test
truth_trajectory_data

Data from the Longitudinal Illusory Truth Study
get_model_data

Get Ratings Data with Model Predictors
simulate_resp_files

Simulate Response Data Files From Longitudinal Illusory Truth Study
simulate_category_guess

Simulate Guessing During the Categorization Task
alpha_6_to_7

Convert Threshold Values from Six to Seven Point Scale
locate_data_files

Locate Raw Data Files from Longitudinal Illusory Truth Study
truth_trajectory_design

Design of the Longitudinal Illusory Truth Study
truth_trajectory_models

Fitted Models from the Longitudinal Illusory Truth Study
fit_lmem

Fit Linear Mixed-Effects Model to Simulated Ratings
fit_clmm

Fit Cumulative Link Mixed-Effects Model to Simulated Ratings
truthiness

truthiness: Longitudinal Study of the Illusory Truth effect
normalize_path

Get Rid of Trailing Slash
preprocess

Importing and Preprocessing Longitudinal Illusory Truth Data
reproduce_analysis

Reproduce the Analysis for Longitudinal Illusory Truth Study
%>%

Pipe operator
derive_fixed

Derive Fixed-Effects Parameters from Phase-by-Phase Effects
clmm_maximal

Fitted Cumulative Link Mixed Model for Nadarevic and Erdfelder Data
equivtest

Run Equivalence Tests on Existing CLMM Object
check_fake

Is Data Flagged As Simulated?
allsimp.emmc

Custom Contrast Function for emmeans
eta2resp

Simulate Ordinal Response Choices from Log Odds
codebook

Compile and Display Codebook and Materials
NE_exp1

Data from Experiment 1 of Nadarevic and Erdfelder
NE_items

Stimulus Information from Experiment 1 of Nadarevic and Erdfelder