This function conducts the primary confirmatory analysis
at the lastly passed checkpoint. In the analysis the mixed-effect logistic
regression (see confirmatory_mixed_effect) and three Bayes factor
analysis (see confirmatory_bayes_factor) are conducted.
Final inference is made based on the inferences of the four conducted
analyses.
analysis_confirmatory(df)dataframe, the input dataframe
The output is a list containing the inputs, the results of the four analysis, and the inferences at the last checkpoint. The list contains:
highest_checkpoint, integer, the index of the investigated checkpoint
success, integer, the number of successful guesses
total_n, integer, the number of erotic trials
n_iteration, integer, the number of iteration (see confirmatory_mixed_effect)
mixed_effect_res, df, the results of the mixed-effect logistic regression
mixed_ci_width, numeric, width of the confidence interval
mixed_ci_lb, numeric, lower limit of the confidence interval 5
mixed_ci_ub, numeric, upper limit of the confidence interval 95
mixed_nhst_inference, character, inference based on the result
bf_res, df, the results of the three Bayes factor analysis
bf_replication, numeric, rounded Bf of analysis with prior based on Bem 2011 experiment 1 results
bf_uniform, numeric, rounded Bf of analysis with uniform prior
bf_buj, numeric, rounded Bf of analysis with BUJ prior
bf_inference, character, inference based on the three Bayes factors
inference, character, the summarized final inference
# \donttest{
# Running the confirmatory analysis
confirmatory_result <- analysis_confirmatory(df = example_m0)
# Checking the inferences at each checking point
confirmatory_result$inference
#> [1] "M0"
# }