{"id":4144,"date":"2025-07-06T14:56:51","date_gmt":"2025-07-06T05:56:51","guid":{"rendered":"https:\/\/best-biostatistics.com\/toukei-er\/?p=4144"},"modified":"2025-07-06T19:58:13","modified_gmt":"2025-07-06T10:58:13","slug":"mediator-effect-and-moderator-effect-understanding-two-influences","status":"publish","type":"post","link":"https:\/\/best-biostatistics.com\/toukei-er\/entry\/mediator-effect-and-moderator-effect-understanding-two-influences\/","title":{"rendered":"\u5a92\u4ecb\u52b9\u679c\u3068\u8abf\u6574\u52b9\u679c\uff1a2\u3064\u306e\u300c\u5f71\u97ff\u300d\u3092\u7406\u89e3\u3059\u308b"},"content":{"rendered":"\n<p>\u7814\u7a76\u8ad6\u6587\u3084\u30c7\u30fc\u30bf\u5206\u6790\u3067\u3088\u304f\u8033\u306b\u3059\u308b\u300c<strong>\u5a92\u4ecb\u52b9\u679c<\/strong>\u300d\u3068\u300c<strong>\u8abf\u6574\u52b9\u679c<\/strong>\u300d\u3002\u3069\u3061\u3089\u3082\u5909\u6570\u9593\u306e\u95a2\u4fc2\u6027\u3092\u6df1\u304f\u6398\u308a\u4e0b\u3052\u308b\u969b\u306b\u91cd\u8981\u306a\u6982\u5ff5\u3067\u3042\u308b\u304c\u3001\u305d\u306e\u610f\u5473\u3059\u308b\u3068\u3053\u308d\u306f\u5927\u304d\u304f\u7570\u306a\u308b\u3002\u672c\u8a18\u4e8b\u3067\u306f\u3001\u3053\u308c\u3089\u4e8c\u3064\u306e\u52b9\u679c\u306e\u9055\u3044\u3092\u660e\u78ba\u306b\u3057\u3001\u5177\u4f53\u7684\u306a\u4f8b\u3068R\u3067\u306e\u8a08\u7b97\u4f8b\u3092\u4ea4\u3048\u306a\u304c\u3089\u3001\u305d\u308c\u305e\u308c\u306e\u89e3\u91c8\u65b9\u6cd5\u307e\u3067\u3092\u308f\u304b\u308a\u3084\u3059\u304f\u89e3\u8aac\u3059\u308b\u3002\u81ea\u8eab\u306e\u30c7\u30fc\u30bf\u5206\u6790\u306e\u7cbe\u5ea6\u3092\u4e00\u6bb5\u3068\u9ad8\u3081\u308b\u305f\u3081\u306b\u3001\u305c\u3072\u6700\u5f8c\u307e\u3067\u8aad\u3093\u3067\u307b\u3057\u3044\u3002<\/p>\n\n\n\n<!--more-->\n\n\n\n<h2 class=\"wp-block-heading\">\u6982\u8981\uff1a\u5a92\u4ecb\u52b9\u679c\u3068\u8abf\u6574\u52b9\u679c\u306e\u9055\u3044<\/h2>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>\u5a92\u4ecb\u52b9\u679c\uff08Mediator Effect\uff09<\/strong>\u3068\u306f\u3001\u3042\u308b\u72ec\u7acb\u5909\u6570\uff08X\uff09\u304c\u5f93\u5c5e\u5909\u6570\uff08Y\uff09\u306b\u5f71\u97ff\u3092\u4e0e\u3048\u308b\u969b\u306b\u3001\u305d\u306e\u9593\u306b\u5225\u306e\u5909\u6570\uff08M\uff09\u304c\u4ecb\u5728\u3057\u3001X\u304b\u3089Y\u3078\u306e\u5f71\u97ff\u304cM\u3092\u4ecb\u3057\u3066\u751f\u3058\u308b\u95a2\u4fc2\u6027\u306e\u3053\u3068\u3067\u3042\u308b\u3002M\u306fX\u3068Y\u306e\u95a2\u4fc2\u3092\u300c\u5a92\u4ecb\u3059\u308b\u300d\u5f79\u5272\u3092\u679c\u305f\u3059\u3002\u3064\u307e\u308a\u3001\u300cX\u304cM\u3092\u5f15\u304d\u8d77\u3053\u3057\u3001M\u304cY\u3092\u5f15\u304d\u8d77\u3053\u3059\u300d\u3068\u3044\u3046\u56e0\u679c\u306e\u9023\u9396\u3092\u8003\u3048\u308b\u3002<\/li>\n\n\n\n<li><strong>\u8abf\u6574\u52b9\u679c\uff08Moderator Effect\uff09<\/strong>\u3068\u306f\u3001\u3042\u308b\u72ec\u7acb\u5909\u6570\uff08X\uff09\u304c\u5f93\u5c5e\u5909\u6570\uff08Y\uff09\u306b\u4e0e\u3048\u308b\u5f71\u97ff\u306e\u5f37\u3055\u3084\u65b9\u5411\u304c\u3001\u5225\u306e\u5909\u6570\uff08W\uff09\u306e\u5024\u306b\u3088\u3063\u3066\u5909\u5316\u3059\u308b\u95a2\u4fc2\u6027\u306e\u3053\u3068\u3067\u3042\u308b\u3002W\u306fX\u3068Y\u306e\u95a2\u4fc2\u3092\u300c\u8abf\u6574\u3059\u308b\u300d\u5f79\u5272\u3092\u679c\u305f\u3059\u3002\u3064\u307e\u308a\u3001\u300cX\u3068Y\u306e\u95a2\u4fc2\u6027\u306fW\u306e\u5024\u306b\u3088\u3063\u3066\u7570\u306a\u308b\u300d\u3068\u3044\u3046\u4ea4\u4e92\u4f5c\u7528\u3092\u8003\u3048\u308b\u3002<\/li>\n<\/ul>\n\n\n\n<figure class=\"wp-block-table\"><table class=\"has-fixed-layout\"><thead><tr><td>\u7279\u5fb4<\/td><td>\u5a92\u4ecb\u52b9\u679c\uff08Mediator\uff09<\/td><td>\u8abf\u6574\u52b9\u679c\uff08Moderator\uff09<\/td><\/tr><\/thead><tbody><tr><td>\u5f79\u5272<\/td><td>\u72ec\u7acb\u5909\u6570\u3068\u5f93\u5c5e\u5909\u6570\u306e\u95a2\u4fc2\u3092\u300c\u5a92\u4ecb\u300d\u3059\u308b<\/td><td>\u72ec\u7acb\u5909\u6570\u3068\u5f93\u5c5e\u5909\u6570\u306e\u95a2\u4fc2\u3092\u300c\u8abf\u6574\u300d\u3059\u308b<\/td><\/tr><tr><td>\u95a2\u4fc2\u6027<\/td><td>X \u2192 M \u2192 Y \uff08\u56e0\u679c\u306e\u9023\u9396\uff09<\/td><td>\uff08X \u2192 Y\uff09\u2190 W \uff08\u4ea4\u4e92\u4f5c\u7528\uff09<\/td><\/tr><tr><td>\u554f\u3044\u304b\u3051<\/td><td>\u306a\u305cX\u306fY\u306b\u5f71\u97ff\u3092\u4e0e\u3048\u308b\u306e\u304b\uff1f<\/td><td>\u3044\u3064\uff08\u307e\u305f\u306f\u8ab0\u306b\u3068\u3063\u3066\uff09X\u306fY\u306b\u5f71\u97ff\u3092\u4e0e\u3048\u308b\u306e\u304b\uff1f<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<h2 class=\"wp-block-heading\">\u5177\u4f53\u4f8b<\/h2>\n\n\n\n<p><strong>\u5a92\u4ecb\u52b9\u679c\u306e\u4f8b\uff1a<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>\u300c\u5b66\u7fd2\u6642\u9593\uff08X\uff09\u300d\u304c\u300c\u8a66\u9a13\u6210\u7e3e\uff08Y\uff09\u300d\u306b\u4e0e\u3048\u308b\u5f71\u97ff\u306f\u3001\u300c\u7406\u89e3\u5ea6\uff08M\uff09\u300d\u306b\u3088\u3063\u3066\u5a92\u4ecb\u3055\u308c\u308b\u3002<\/strong>\n<ul class=\"wp-block-list\">\n<li>\u5b66\u7fd2\u6642\u9593\u304c\u5897\u3048\u308b\u307b\u3069\u7406\u89e3\u5ea6\u304c\u4e0a\u304c\u308a\u3001\u7406\u89e3\u5ea6\u304c\u4e0a\u304c\u308b\u307b\u3069\u8a66\u9a13\u6210\u7e3e\u304c\u5411\u4e0a\u3059\u308b\u3068\u3044\u3046\u95a2\u4fc2\u6027\u3067\u3042\u308b\u3002\u5b66\u7fd2\u6642\u9593\u81ea\u4f53\u304c\u76f4\u63a5\u7684\u306b\u8a66\u9a13\u6210\u7e3e\u3092\u4e0a\u3052\u308b\u306e\u3067\u306f\u306a\u304f\u3001\u7406\u89e3\u5ea6\u3092\u4ecb\u3057\u3066\u5f71\u97ff\u3092\u4e0e\u3048\u308b\u3068\u8003\u3048\u3089\u308c\u308b\u3002<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n\n\n\n<p><strong>\u8abf\u6574\u52b9\u679c\u306e\u4f8b\uff1a<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>\u300c\u65b0\u3057\u3044\u5b66\u7fd2\u65b9\u6cd5\u306e\u5c0e\u5165\uff08X\uff09\u300d\u304c\u300c\u8a66\u9a13\u6210\u7e3e\uff08Y\uff09\u300d\u306b\u4e0e\u3048\u308b\u5f71\u97ff\u306f\u3001\u300c\u5143\u3005\u306e\u5b66\u529b\u30ec\u30d9\u30eb\uff08W\uff09\u300d\u306b\u3088\u3063\u3066\u8abf\u6574\u3055\u308c\u308b\u3002<\/strong>\n<ul class=\"wp-block-list\">\n<li>\u65b0\u3057\u3044\u5b66\u7fd2\u65b9\u6cd5\u304c\u3001\u5143\u3005\u306e\u5b66\u529b\u304c\u4f4e\u3044\u751f\u5f92\u306b\u306f\u5927\u304d\u306a\u52b9\u679c\u3092\u3082\u305f\u3089\u3059\u304c\u3001\u5143\u3005\u306e\u5b66\u529b\u304c\u9ad8\u3044\u751f\u5f92\u306b\u306f\u3042\u307e\u308a\u52b9\u679c\u304c\u306a\u3044\u3001\u3042\u308b\u3044\u306f\u9006\u52b9\u679c\u306b\u306a\u308b\u5834\u5408\u3082\u8003\u3048\u3089\u308c\u308b\u3002\u3053\u306e\u5834\u5408\u3001\u5143\u3005\u306e\u5b66\u529b\u30ec\u30d9\u30eb\u304c\u5b66\u7fd2\u65b9\u6cd5\u3068\u8a66\u9a13\u6210\u7e3e\u306e\u95a2\u4fc2\u6027\u3092\u8abf\u6574\u3057\u3066\u3044\u308b\u3002<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\">R \u8a08\u7b97\u4f8b<\/h3>\n\n\n\n<p>\u3053\u3053\u3067\u306f\u3001\u5148\u307b\u3069\u306e\u4f8b\u3092\u53c2\u8003\u306b\u3001R\u3092\u7528\u3044\u305f\u7c21\u7565\u306a\u8a08\u7b97\u4f8b\u3092\u793a\u3059\u3002\u5b9f\u969b\u306e\u5206\u6790\u3067\u306f\u3001\u3055\u3089\u306b\u53b3\u5bc6\u306a\u30e2\u30c7\u30eb\u9078\u629e\u3084\u4eee\u5b9a\u306e\u78ba\u8a8d\u304c\u5fc5\u8981\u3067\u3042\u308b\u3002<\/p>\n\n\n\n<h4 class=\"wp-block-heading\"><strong>\u5a92\u4ecb\u52b9\u679c\u306eR\u3067\u306e\u8a08\u7b97\u4f8b\uff08<code>lavaan<\/code>\u30d1\u30c3\u30b1\u30fc\u30b8\u3092\u4f7f\u7528\uff09<\/strong><\/h4>\n\n\n\n<p>\u5b66\u7fd2\u6642\u9593\u3001\u7406\u89e3\u5ea6\u3001\u8a66\u9a13\u6210\u7e3e\u306e\u67b6\u7a7a\u30c7\u30fc\u30bf\u3092\u4f5c\u6210\u3059\u308b\u3002<\/p>\n\n\n\n<p><strong>R \u30b9\u30af\u30ea\u30d7\u30c8\u4f8b\uff1a<\/strong><\/p>\n\n\n\n<pre class=\"wp-block-code\"><code># \u30d1\u30c3\u30b1\u30fc\u30b8\u306e\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\uff08\u521d\u56de\u306e\u307f\uff09\n# install.packages(\"lavaan\")\n\n# \u5fc5\u8981\u306a\u30d1\u30c3\u30b1\u30fc\u30b8\u306e\u8aad\u307f\u8fbc\u307f\nlibrary(lavaan)\n\n# \u67b6\u7a7a\u30c7\u30fc\u30bf\u306e\u4f5c\u6210\nset.seed(123)\ndata_mediation &lt;- data.frame(\n  learning_time = round(rnorm(100, 10, 2)), # \u5b66\u7fd2\u6642\u9593\n  understanding = round(rnorm(100, 50, 10) + 2 * rnorm(100, 10, 2)), # \u7406\u89e3\u5ea6\uff08\u5b66\u7fd2\u6642\u9593\u306b\u5f71\u97ff\u3055\u308c\u308b\uff09\n  exam_score = round(rnorm(100, 70, 15) + 0.5 * rnorm(100, 50, 10)) # \u8a66\u9a13\u6210\u7e3e\uff08\u7406\u89e3\u5ea6\u306b\u5f71\u97ff\u3055\u308c\u308b\uff09\n)\n\n# \u5a92\u4ecb\u30e2\u30c7\u30eb\u306e\u6307\u5b9a\nmediation_model &lt;- '\n  # \u56de\u5e30\u30d1\u30b9\n  understanding ~ a * learning_time\n  exam_score ~ b * understanding + c * learning_time\n\n  # \u9593\u63a5\u52b9\u679c\uff08\u5a92\u4ecb\u52b9\u679c\uff09\u306e\u8a08\u7b97\n  indirect := a * b\n\n  # \u5168\u52b9\u679c\u306e\u8a08\u7b97\n  total := c + (a * b)\n'\n\n# \u30e2\u30c7\u30eb\u306e\u5b9f\u884c\nfit_mediation &lt;- sem(mediation_model, data = data_mediation)\n\n# \u7d50\u679c\u306e\u8981\u7d04\nsummary(fit_mediation, standardized = TRUE, fit.measures = TRUE)\n<\/code><\/pre>\n\n\n\n<p><strong>\u5b9f\u884c\u7d50\u679c\uff1a<\/strong><\/p>\n\n\n\n<pre class=\"wp-block-code\"><code>&gt; summary(fit_mediation, standardized = TRUE, fit.measures = TRUE)\nlavaan 0.6-19 ended normally after 1 iteration\n\n  Estimator                                         ML\n  Optimization method                           NLMINB\n  Number of model parameters                         5\n\n  Number of observations                           100\n\nModel Test User Model:\n                                                      \n  Test statistic                                 0.000\n  Degrees of freedom                                 0\n\nModel Test Baseline Model:\n\n  Test statistic                                 1.494\n  Degrees of freedom                                 3\n  P-value                                        0.684\n\nUser Model versus Baseline Model:\n\n  Comparative Fit Index (CFI)                    1.000\n  Tucker-Lewis Index (TLI)                       1.000\n\nLoglikelihood and Information Criteria:\n\n  Loglikelihood user model (H0)               -795.795\n  Loglikelihood unrestricted model (H1)       -795.795\n                                                      \n  Akaike (AIC)                                1601.590\n  Bayesian (BIC)                              1614.616\n  Sample-size adjusted Bayesian (SABIC)       1598.825\n\nRoot Mean Square Error of Approximation:\n\n  RMSEA                                          0.000\n  90 Percent confidence interval - lower         0.000\n  90 Percent confidence interval - upper         0.000\n  P-value H_0: RMSEA &lt;= 0.050                       NA\n  P-value H_0: RMSEA &gt;= 0.080                       NA\n\nStandardized Root Mean Square Residual:\n\n  SRMR                                           0.000\n\nParameter Estimates:\n\n  Standard errors                             Standard\n  Information                                 Expected\n  Information saturated (h1) model          Structured\n\nRegressions:\n                   Estimate  Std.Err  z-value  P(&gt;|z|)   Std.lv  Std.all\n  understanding ~                                                       \n    learnng_tm (a)   -0.384    0.577   -0.665    0.506   -0.384   -0.066\n  exam_score ~                                                          \n    undrstndng (b)   -0.036    0.155   -0.233    0.816   -0.036   -0.023\n    learnng_tm (c)   -0.909    0.895   -1.015    0.310   -0.909   -0.101\n\nVariances:\n                   Estimate  Std.Err  z-value  P(&gt;|z|)   Std.lv  Std.all\n   .understanding   108.204   15.302    7.071    0.000  108.204    0.996\n   .exam_score      258.821   36.603    7.071    0.000  258.821    0.990\n\nDefined Parameters:\n                   Estimate  Std.Err  z-value  P(&gt;|z|)   Std.lv  Std.all\n    indirect          0.014    0.063    0.220    0.826    0.014    0.002\n    total            -0.895    0.893   -1.002    0.316   -0.895   -0.100\n\n&gt; <\/code><\/pre>\n\n\n\n<h4 class=\"wp-block-heading\"><strong>\u8abf\u6574\u52b9\u679c\u306eR\u3067\u306e\u8a08\u7b97\u4f8b\uff08\u6a19\u6e96\u7684\u306a\u56de\u5e30\u5206\u6790\u3092\u4f7f\u7528\uff09<\/strong><\/h4>\n\n\n\n<p>\u65b0\u3057\u3044\u5b66\u7fd2\u65b9\u6cd5\u306e\u5c0e\u5165\u3001\u8a66\u9a13\u6210\u7e3e\u3001\u5143\u3005\u306e\u5b66\u529b\u30ec\u30d9\u30eb\u306e\u67b6\u7a7a\u30c7\u30fc\u30bf\u3092\u4f5c\u6210\u3059\u308b\u3002<\/p>\n\n\n\n<p><strong>R \u30b9\u30af\u30ea\u30d7\u30c8\u4f8b\uff1a<\/strong><\/p>\n\n\n\n<pre class=\"wp-block-code\"><code># \u67b6\u7a7a\u30c7\u30fc\u30bf\u306e\u4f5c\u6210\nset.seed(456)\ndata_moderation &lt;- data.frame(\n  new_method = sample(0:1, 100, replace = TRUE), # \u65b0\u3057\u3044\u5b66\u7fd2\u65b9\u6cd5\u306e\u5c0e\u5165\uff080:\u306a\u3057, 1:\u3042\u308a\uff09\n  initial_ability = round(rnorm(100, 60, 10)) # \u5143\u3005\u306e\u5b66\u529b\u30ec\u30d9\u30eb\n)\n# \u8a66\u9a13\u6210\u7e3e\uff08\u65b0\u3057\u3044\u5b66\u7fd2\u65b9\u6cd5\u3068\u521d\u671f\u5b66\u529b\u306e\u4ea4\u4e92\u4f5c\u7528\u3092\u8003\u616e\uff09\ndata_moderation$exam_score &lt;- \n  round(70 + 5 * data_moderation$new_method + 0.3 * data_moderation$initial_ability + \n  -0.2 * data_moderation$new_method * data_moderation$initial_ability + rnorm(100, 0, 5))\n\n# \u8abf\u6574\u52b9\u679c\uff08\u4ea4\u4e92\u4f5c\u7528\u9805\uff09\u3092\u542b\u3080\u56de\u5e30\u30e2\u30c7\u30eb\u306e\u6307\u5b9a\n# I()\u3067\u4ea4\u4e92\u4f5c\u7528\u9805\u3092\u660e\u793a\u7684\u306b\u6307\u5b9a\nmoderation_model &lt;- lm(exam_score ~ new_method * initial_ability, data = data_moderation)\n\n# \u30e2\u30c7\u30eb\u306e\u8981\u7d04\nsummary(moderation_model)\n<\/code><\/pre>\n\n\n\n<p><strong>\u5b9f\u884c\u7d50\u679c\uff1a<\/strong><\/p>\n\n\n\n<pre class=\"wp-block-code\"><code>&gt; summary(moderation_model)\n\nCall:\nlm(formula = exam_score ~ new_method * initial_ability, data = data_moderation)\n\nResiduals:\n    Min      1Q  Median      3Q     Max \n-11.742  -3.504   0.420   3.554  10.212 \n\nCoefficients:\n                           Estimate Std. Error t value Pr(&gt;|t|)    \n(Intercept)                66.72526    4.63566  14.394  &lt; 2e-16 ***\nnew_method                  8.97447    6.29060   1.427  0.15693    \ninitial_ability             0.36660    0.07679   4.774 6.46e-06 ***\nnew_method:initial_ability -0.28576    0.10390  -2.750  0.00712 ** \n---\nSignif. codes:  0 \u2018***\u2019 0.001 \u2018**\u2019 0.01 \u2018*\u2019 0.05 \u2018.\u2019 0.1 \u2018 \u2019 1\n\nResidual standard error: 4.922 on 96 degrees of freedom\nMultiple R-squared:  0.4874,    Adjusted R-squared:  0.4714 \nF-statistic: 30.43 on 3 and 96 DF,  p-value: 6.514e-14\n\n&gt; <\/code><\/pre>\n\n\n\n<h3 class=\"wp-block-heading\">\u7d50\u679c\u89e3\u91c8<\/h3>\n\n\n\n<h4 class=\"wp-block-heading\"><strong>\u5a92\u4ecb\u52b9\u679c\u306e\u89e3\u91c8\uff1a<\/strong><\/h4>\n\n\n\n<p><code>lavaan<\/code>\u30d1\u30c3\u30b1\u30fc\u30b8\u306e\u51fa\u529b\u3067\u306f\u3001\u4ee5\u4e0b\u306e\u70b9\u306b\u6ce8\u76ee\u3059\u308b\u3002<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong><code>a<\/code>\u30d1\u30b9\uff08\u72ec\u7acb\u5909\u6570 \u2192 \u5a92\u4ecb\u5909\u6570\uff09\u306e\u6709\u610f\u6027\uff1a<\/strong> \u5b66\u7fd2\u6642\u9593\u304c\u7406\u89e3\u5ea6\u306b\u6709\u610f\u306a\u5f71\u97ff\u3092\u4e0e\u3048\u3066\u3044\u308b\u304b\u3002<\/li>\n\n\n\n<li><strong><code>b<\/code>\u30d1\u30b9\uff08\u5a92\u4ecb\u5909\u6570 \u2192 \u5f93\u5c5e\u5909\u6570\uff09\u306e\u6709\u610f\u6027\uff1a<\/strong> \u7406\u89e3\u5ea6\u304c\u8a66\u9a13\u6210\u7e3e\u306b\u6709\u610f\u306a\u5f71\u97ff\u3092\u4e0e\u3048\u3066\u3044\u308b\u304b\u3002<\/li>\n\n\n\n<li><strong><code>c<\/code>\u30d1\u30b9\uff08\u72ec\u7acb\u5909\u6570 \u2192 \u5f93\u5c5e\u5909\u6570\uff09\u306e\u6709\u610f\u6027\uff08\u76f4\u63a5\u52b9\u679c\uff09\uff1a<\/strong> \u7406\u89e3\u5ea6\u3092\u7d71\u5236\u3057\u305f\u4e0a\u3067\u3001\u5b66\u7fd2\u6642\u9593\u304c\u8a66\u9a13\u6210\u7e3e\u306b\u76f4\u63a5\u7684\u306a\u5f71\u97ff\u3092\u4e0e\u3048\u3066\u3044\u308b\u304b\u3002<\/li>\n\n\n\n<li><strong><code>indirect<\/code>\uff08\u9593\u63a5\u52b9\u679c\uff09\u306e\u6709\u610f\u6027\uff1a<\/strong> \u5a92\u4ecb\u52b9\u679c\u304c\u5b58\u5728\u3059\u308b\u304b\u3069\u3046\u304b\u3092\u793a\u3059\u3002\u3053\u308c\u304c\u6709\u610f\u3067\u3042\u308c\u3070\u3001\u5b66\u7fd2\u6642\u9593\u304c\u7406\u89e3\u5ea6\u3092\u4ecb\u3057\u3066\u8a66\u9a13\u6210\u7e3e\u306b\u5f71\u97ff\u3092\u4e0e\u3048\u3066\u3044\u308b\u3068\u8a00\u3048\u308b\u3002<\/li>\n\n\n\n<li><strong><code>total<\/code>\uff08\u5168\u52b9\u679c\uff09\uff1a<\/strong> \u5a92\u4ecb\u52b9\u679c\u3068\u76f4\u63a5\u52b9\u679c\u3092\u5408\u308f\u305b\u305f\u72ec\u7acb\u5909\u6570\u304b\u3089\u5f93\u5c5e\u5909\u6570\u3078\u306e\u5168\u4f53\u306e\u5f71\u97ff\u3067\u3042\u308b\u3002<\/li>\n<\/ul>\n\n\n\n<p>\u3082\u3057\u9593\u63a5\u52b9\u679c\u304c\u6709\u610f\u3067\u3001\u76f4\u63a5\u52b9\u679c\u304c\u6709\u610f\u3067\u306a\u3051\u308c\u3070\u300c\u5b8c\u5168\u5a92\u4ecb\u300d\u3001\u76f4\u63a5\u52b9\u679c\u3082\u6709\u610f\u3067\u3042\u308c\u3070\u300c\u90e8\u5206\u5a92\u4ecb\u300d\u3068\u89e3\u91c8\u3055\u308c\u308b\u3002<\/p>\n\n\n\n<h4 class=\"wp-block-heading\"><strong>\u8abf\u6574\u52b9\u679c\u306e\u89e3\u91c8\uff1a<\/strong><\/h4>\n\n\n\n<p>\u56de\u5e30\u5206\u6790\u306e\u51fa\u529b\u3067\u306f\u3001<code>new_method:initial_ability<\/code>\u3068\u51fa\u529b\u3055\u308c\u3066\u3044\u308b\u3001\u4ea4\u4e92\u4f5c\u7528\u9805\u306b\u6ce8\u76ee\u3059\u308b\u3002<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>\u4ea4\u4e92\u4f5c\u7528\u9805\u306e\u4fc2\u6570\u3068p\u5024\uff1a<\/strong> \u3053\u306e\u4fc2\u6570\u304c\u6709\u610f\u3067\u3042\u308c\u3070\u3001\u8abf\u6574\u52b9\u679c\u304c\u5b58\u5728\u3059\u308b\u3068\u5224\u65ad\u3067\u304d\u308b\u3002\n<ul class=\"wp-block-list\">\n<li>\u4fc2\u6570\u304c\u6b63\u306e\u5834\u5408\uff1a<code>initial_ability<\/code>\u304c\u9ad8\u3044\u307b\u3069\u3001<code>new_method<\/code>\u304c<code>exam_score<\/code>\u306b\u4e0e\u3048\u308b\u6b63\u306e\u5f71\u97ff\u304c\u5f37\u307e\u308b\u3001\u307e\u305f\u306f\u8ca0\u306e\u5f71\u97ff\u304c\u5f31\u307e\u308b\u3002<\/li>\n\n\n\n<li>\u4fc2\u6570\u304c\u8ca0\u306e\u5834\u5408\uff1a<code>initial_ability<\/code>\u304c\u9ad8\u3044\u307b\u3069\u3001<code>new_method<\/code>\u304c<code>exam_score<\/code>\u306b\u4e0e\u3048\u308b\u6b63\u306e\u5f71\u97ff\u304c\u5f31\u307e\u308b\u3001\u307e\u305f\u306f\u8ca0\u306e\u5f71\u97ff\u304c\u5f37\u307e\u308b\u3002<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n\n\n\n<p>\u3053\u306e\u4f8b\u3067\u306f\u3001<code>new_method<\/code>\u3068<code>initial_ability<\/code>\u306e\u4ea4\u4e92\u4f5c\u7528\u9805\u306e\u4fc2\u6570\u3068p\u5024\u3092\u898b\u308b\u3053\u3068\u3067\u3001\u5143\u3005\u306e\u5b66\u529b\u30ec\u30d9\u30eb\u304c\u65b0\u3057\u3044\u5b66\u7fd2\u65b9\u6cd5\u306e\u8a66\u9a13\u6210\u7e3e\u3078\u306e\u52b9\u679c\u3092\u3069\u306e\u3088\u3046\u306b\u8abf\u6574\u3057\u3066\u3044\u308b\u304b\u3092\u5224\u65ad\u3059\u308b\u3002\u4f8b\u3048\u3070\u3001\u4ea4\u4e92\u4f5c\u7528\u9805\u304c\u8ca0\u3067\u6709\u610f\u3067\u3042\u308c\u3070\u3001\u300c\u5143\u3005\u306e\u5b66\u529b\u30ec\u30d9\u30eb\u304c\u9ad8\u3044\u307b\u3069\u3001\u65b0\u3057\u3044\u5b66\u7fd2\u65b9\u6cd5\u306e\u52b9\u679c\u306f\u5c0f\u3055\u304f\u306a\u308b\u300d\u3068\u89e3\u91c8\u3067\u304d\u308b\u3002<\/p>\n\n\n\n<div id=\"biost-3339831572\" class=\"biost- biost-entity-placement\"><p style=\"text-align: center;\"><span style=\"font-size: 20px;\"><strong><a href=\"https:\/\/best-biostatistics.com\/kmhl\">\uff1e\uff1e\u3082\u3046\u7d71\u8a08\u3067\u60a9\u3080\u306e\u306f\u7d42\u308f\u308a\u306b\u3057\u307e\u305b\u3093\u304b\uff1f\u00a0<\/a><\/strong><\/span><\/p>\r\n<a href=\"https:\/\/best-biostatistics.com\/kmhl\"><img class=\"aligncenter wp-image-2794 size-full\" src=\"https:\/\/best-biostatistics.com\/wp\/wp-content\/uploads\/2023\/11\/bn_r_03.png\" alt=\"\" width=\"500\" height=\"327\" \/><\/a>\r\n<p style=\"text-align: center;\"><span style=\"color: #ff0000; font-size: 20px;\"><strong><span class=\"marker2\">\u21911\u4e07\u4eba\u4ee5\u4e0a\u306e\u533b\u7642\u5f93\u4e8b\u8005\u304c\u8cfc\u8aad\u4e2d<\/span><\/strong><\/span><\/p><\/div><h2 class=\"wp-block-heading\">\u307e\u3068\u3081<\/h2>\n\n\n\n<p>\u5a92\u4ecb\u52b9\u679c\u3068\u8abf\u6574\u52b9\u679c\u306f\u3001\u5909\u6570\u9593\u306e\u95a2\u4fc2\u6027\u3092\u6df1\u304f\u7406\u89e3\u3059\u308b\u305f\u3081\u306e\u5f37\u529b\u306a\u30c4\u30fc\u30eb\u3067\u3042\u308b\u3002\u5a92\u4ecb\u52b9\u679c\u306f\u300c\u306a\u305c\u300d\u3042\u308b\u5f71\u97ff\u304c\u751f\u3058\u308b\u306e\u304b\u3068\u3044\u3046\u30e1\u30ab\u30cb\u30ba\u30e0\u3092\u3001\u8abf\u6574\u52b9\u679c\u306f\u300c\u3044\u3064\u300d\u300c\u3069\u306e\u3088\u3046\u306a\u6761\u4ef6\u4e0b\u3067\u300d\u3042\u308b\u5f71\u97ff\u304c\u751f\u3058\u308b\u306e\u304b\u3068\u3044\u3046\u72b6\u6cc1\u3092\u660e\u3089\u304b\u306b\u3059\u308b\u3002\u3053\u308c\u3089\u306e\u6982\u5ff5\u3092\u9069\u5207\u306b\u4f7f\u3044\u5206\u3051\u308b\u3053\u3068\u3067\u3001\u3088\u308a\u7cbe\u7dfb\u306a\u30c7\u30fc\u30bf\u5206\u6790\u304c\u53ef\u80fd\u3068\u306a\u308a\u3001\u7814\u7a76\u3084\u30d3\u30b8\u30cd\u30b9\u306b\u304a\u3051\u308b\u610f\u601d\u6c7a\u5b9a\u306b\u8ca2\u732e\u3067\u304d\u308b\u3067\u3042\u308d\u3046\u3002\u305c\u3072\u81ea\u8eab\u306e\u30c7\u30fc\u30bf\u3067\u3053\u308c\u3089\u306e\u5206\u6790\u3092\u8a66\u3057\u3066\u307f\u3066\u307b\u3057\u3044\u3002<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n","protected":false},"excerpt":{"rendered":"<p>\u7814\u7a76\u8ad6\u6587\u3084\u30c7\u30fc\u30bf\u5206\u6790\u3067\u3088\u304f\u8033\u306b\u3059\u308b\u300c\u5a92\u4ecb\u52b9\u679c\u300d\u3068\u300c\u8abf\u6574\u52b9\u679c\u300d\u3002\u3069\u3061\u3089\u3082\u5909\u6570\u9593\u306e\u95a2\u4fc2\u6027\u3092\u6df1\u304f\u6398\u308a\u4e0b\u3052\u308b\u969b\u306b\u91cd\u8981\u306a\u6982\u5ff5\u3067\u3042\u308b\u304c\u3001\u305d\u306e\u610f\u5473\u3059\u308b\u3068\u3053\u308d\u306f\u5927\u304d\u304f\u7570\u306a\u308b\u3002\u672c\u8a18\u4e8b\u3067\u306f\u3001\u3053\u308c\u3089\u4e8c\u3064\u306e\u52b9\u679c\u306e\u9055\u3044\u3092\u660e\u78ba\u306b\u3057\u3001\u5177\u4f53\u7684\u306a\u4f8b\u3068R\u3067 [&hellip;]<\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"swell_btn_cv_data":"","_jetpack_memberships_contains_paid_content":false,"footnotes":"","jetpack_publicize_message":"","jetpack_publicize_feature_enabled":true,"jetpack_social_post_already_shared":true,"jetpack_social_options":{"image_generator_settings":{"template":"highway","default_image_id":0,"font":"","enabled":false},"version":2}},"categories":[75,68,150],"tags":[],"class_list":["post-4144","post","type-post","status-publish","format-standard","hentry","category-sem","category-68","category-150"],"jetpack_publicize_connections":[],"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/best-biostatistics.com\/toukei-er\/wp-json\/wp\/v2\/posts\/4144","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/best-biostatistics.com\/toukei-er\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/best-biostatistics.com\/toukei-er\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/best-biostatistics.com\/toukei-er\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/best-biostatistics.com\/toukei-er\/wp-json\/wp\/v2\/comments?post=4144"}],"version-history":[{"count":3,"href":"https:\/\/best-biostatistics.com\/toukei-er\/wp-json\/wp\/v2\/posts\/4144\/revisions"}],"predecessor-version":[{"id":4154,"href":"https:\/\/best-biostatistics.com\/toukei-er\/wp-json\/wp\/v2\/posts\/4144\/revisions\/4154"}],"wp:attachment":[{"href":"https:\/\/best-biostatistics.com\/toukei-er\/wp-json\/wp\/v2\/media?parent=4144"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/best-biostatistics.com\/toukei-er\/wp-json\/wp\/v2\/categories?post=4144"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/best-biostatistics.com\/toukei-er\/wp-json\/wp\/v2\/tags?post=4144"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}