{
  "test_id": "rm_anova",
  "test_label": "Repeated-measures ANOVA (Greenhouse-Geisser)",
  "n": 196,
  "statistic": 571.70189292905684,
  "parameter": "1.24,59.42",
  "p_value": 1.9308701555844486e-34,
  "estimate": 0.84827558656726865,
  "conf_int": null,
  "effect_size": {
    "name": "ges (generalized eta-squared)",
    "value": 0.84827558656726865,
    "ci": [0.80656572947761618, 0.87767502175920087],
    "ci_level": 0.94999999999999996,
    "note": "two-sided CI at the run's confidence level, from the uncorrected degrees of freedom"
  },
  "seed_used": 20261031,
  "assumptions": [
    {
      "id": "sphericity",
      "check": "sphericity (Greenhouse-Geisser correction applied)",
      "statistic": "NA",
      "p_value": "NA",
      "passed": null,
      "note": "F, df and p use the Greenhouse-Geisser correction, so a sphericity violation is already accounted for"
    }
  ],
  "warnings": [],
  "flags": [
    {
      "severity": "warning",
      "message": "Greenhouse-Geisser-corrected repeated-measures ANOVA on 'Time' within 'Chick'. NOTE: 1 subject(s) with a missing cell were dropped - prefer the linear mixed model for unbalanced data.",
      "message_i18n": {
        "key": "analysis.effect_note.rm_anova_counts",
        "args": {
          "within": "Time",
          "subject": "Chick",
          "dropped_note": {
            "key": "analysis.effect_note.rm_anova_dropped",
            "args": {
              "count": "1"
            }
          },
          "aggregated_note": ""
        }
      }
    },
    {
      "severity": "note",
      "message": "Analysis restricted to a subpopulation (Time in 0, 2, 4, 6): 196 of 576 rows used. Report this restriction in the manuscript, and treat a post-hoc subgroup as exploratory.",
      "message_i18n": {
        "key": "flag.subpopulation",
        "args": {
          "filter": {
            "key": "prep.filter.in_levels",
            "args": {
              "column": "Time",
              "levels": "0, 2, 4, 6"
            }
          },
          "rows_used": "196",
          "rows_total": "576"
        }
      }
    },
    {
      "severity": "note",
      "message": "Values beyond Tukey's 1.5xIQR fence in: 'weight' (9). Descriptive only - nothing has been removed or changed; check whether these reflect genuine extreme cases or data-entry errors.",
      "message_i18n": {
        "key": "sanity.outlier_values",
        "args": {
          "columns": "'weight' (9)"
        }
      },
      "code": "outlier_values",
      "citations": ["Tukey's 1.5xIQR fence is a descriptive convention for flagging unusually extreme values, not a definition of error or a license to remove data - some 'outliers' are genuine biological extremes (Tukey, J.W., 1977, Exploratory Data Analysis, Addison-Wesley)."]
    }
  ],
  "test_label_i18n": {
    "key": "test.rm_anova.label"
  },
  "alpha": 0.050000000000000003,
  "sidedness": "non-directional",
  "estimate_label": "generalized eta-squared",
  "imputation": {
    "strategy": "complete_case",
    "n_rows": 198,
    "n_dropped": 0,
    "n_cells_imputed": 0,
    "imputed_cols": []
  },
  "conf_level": 0.94999999999999996,
  "term_tests": [
    {
      "term": "Time",
      "test_method": "F",
      "statistic": 571.70189292905684,
      "df": 1.2378218909877179,
      "df_resid": 59.415450767410462,
      "p_value": 1.9308701555844486e-34,
      "effect_size": 0.92254340264618973,
      "effect_size_low": 0.90103686583575182,
      "effect_size_high": 0.93766947370293741,
      "effect_size_note": "two-sided CI at the run's confidence level, from the uncorrected degrees of freedom"
    }
  ],
  "power": {
    "method": null,
    "n": "NA",
    "mdes": "NA",
    "mdes_metric": null,
    "mdes_metric_i18n": null,
    "required_n": "NA",
    "required_n_label": null,
    "required_n_label_i18n": null,
    "severely_underpowered": null,
    "note": "Power is not calculated for this test.",
    "call_code": null
  },
  "filter": [
    {
      "column": "Time",
      "op": "levels",
      "levels": ["0", "2", "4", "6"]
    }
  ],
  "rows_filtered_out": 380,
  "explanations": ["This repeated-measures ANOVA (Greenhouse-Geisser corrected) asks whether weight changes across the within-subject conditions.", "The condition accounts for ~84.83% of the total variation, including differences between subjects (generalized eta-squared 0.8483; 95% CI 0.8066 to 0.8777) - a large effect by Cohen's conventional benchmarks, which are rough guides, not thresholds of importance.", "This result is statistically significant at the 0.05 level (p < 0.001, n = 196)."],
  "explanations_i18n": [
    {
      "key": "exp.rm_anova.intro",
      "args": {
        "outcome": "weight"
      }
    },
    {
      "key": "exp.rm_anova.variance_explained_ci",
      "args": {
        "percent": "84.83",
        "magnitude": {
          "key": "exp.magnitude_effect.large"
        },
        "eta_squared": "0.8483",
        "ci": {
          "key": "exp.ci_semicolon",
          "args": {
            "ci": {
              "key": "exp.ci",
              "args": {
                "level": "95",
                "lower": "0.8066",
                "upper": "0.8777"
              }
            }
          }
        }
      }
    },
    {
      "key": "exp.closer.significant",
      "args": {
        "alpha": "0.05",
        "p": "p < 0.001",
        "n": "196"
      }
    }
  ]
}