{"id":"W2741512338","doi":"10.5539/jel.v6n4p254","title":"Beyond P values and Hypothesis Testing: Using the Minimum Bayes Factor to Teach Statistical Inference in Undergraduate Introductory Statistics Courses","year":2017,"lang":"en","type":"article","venue":"Journal of Education and Learning","topic":"Statistics Education and Methodologies","field":"Mathematics","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Bayes factor; Frequentist inference; Bayesian statistics; Statistical hypothesis testing; Bayesian probability; Statistical inference; p-value; Statistics; Bayes' theorem; Frequentist probability; Bayesian inference; Value (mathematics); Inference; Econometrics; Psychology; Computer science; Mathematics; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.001208872,0.0001159512,0.0002380757,0.0001559953,0.000434968,0.0002614557,0.0001514889,0.00003882762,0.00003193334],"category_scores_gemma":[0.1152185,0.00008449399,0.00001330283,0.00005696969,0.0001781721,0.0001196031,0.00004881764,0.0003863051,9.829988e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005117214,"about_ca_system_score_gemma":0.000445637,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004119586,"about_ca_topic_score_gemma":0.00001559772,"domain_scores_codex":[0.9987204,0.0004405827,0.0003769564,0.0001340469,0.0001812373,0.0001467977],"domain_scores_gemma":[0.9860179,0.01282591,0.0005691162,0.0001538252,0.0003187266,0.000114514],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0001449092,0.0007496892,0.3357641,0.0004515522,0.0001565896,0.00001354554,0.04651728,0.000297267,0.005843308,0.08195572,0.02974435,0.4983617],"study_design_scores_gemma":[0.0004210444,0.0002833727,0.4979292,0.0002997051,0.0001410616,0.0001014799,0.028515,0.001676177,0.0001756227,0.468106,0.002055123,0.000296241],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9145769,0.0001951938,0.08106188,0.002822826,0.0009594358,0.0001343631,0.00001926271,0.000008530469,0.0002216366],"genre_scores_gemma":[0.5840712,0.00005909134,0.4151808,0.00008847134,0.000173456,0.000001811164,5.532187e-7,0.000009990197,0.0004145566],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4980655,"threshold_uncertainty_score":0.8922344,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2200374112290189,"score_gpt":0.4589681785259657,"score_spread":0.2389307672969468,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}