{"id":2082,"date":"2023-07-23T18:40:34","date_gmt":"2023-07-23T18:40:34","guid":{"rendered":"https:\/\/statorials.org\/ja\/python%e3%81%ae%e3%82%af%e3%83%ad%e3%83%b3%e3%83%8f%e3%82%99%e3%83%83%e3%82%af%e3%82%b9%e3%82%a2%e3%83%ab%e3%83%95%e3%82%a1\/"},"modified":"2023-07-23T18:40:34","modified_gmt":"2023-07-23T18:40:34","slug":"python%e3%81%ae%e3%82%af%e3%83%ad%e3%83%b3%e3%83%8f%e3%82%99%e3%83%83%e3%82%af%e3%82%b9%e3%82%a2%e3%83%ab%e3%83%95%e3%82%a1","status":"publish","type":"post","link":"https:\/\/statorials.org\/ja\/python%e3%81%ae%e3%82%af%e3%83%ad%e3%83%b3%e3%83%8f%e3%82%99%e3%83%83%e3%82%af%e3%82%b9%e3%82%a2%e3%83%ab%e3%83%95%e3%82%a1\/","title":{"rendered":"Python \u3067\u30af\u30ed\u30f3\u30d0\u30c3\u30af\u306e\u30a2\u30eb\u30d5\u30a1\u3092\u8a08\u7b97\u3059\u308b\u65b9\u6cd5"},"content":{"rendered":"

<\/p>\n

\n

\u30af\u30ed\u30f3\u30d0\u30c3\u30af\u306e\u30a2\u30eb\u30d5\u30a1\u306f\u3001<\/strong>\u30a2\u30f3\u30b1\u30fc\u30c8\u3084\u8abf\u67fb\u306e\u5185\u90e8\u4e00\u8cab\u6027<\/a>\u3092\u6e2c\u5b9a\u3059\u308b\u65b9\u6cd5\u3067\u3059\u3002<\/span><\/p>\n

\u30af\u30ed\u30f3\u30d0\u30c3\u30af\u306e\u30a2\u30eb\u30d5\u30a1\u306e\u7bc4\u56f2\u306f 0 \u304b\u3089 1 \u3067\u3001\u5024\u304c\u5927\u304d\u3044\u307b\u3069\u8abf\u67fb\u307e\u305f\u306f\u30a2\u30f3\u30b1\u30fc\u30c8\u306e\u4fe1\u983c\u6027\u304c\u9ad8\u3044\u3053\u3068\u3092\u793a\u3057\u307e\u3059\u3002<\/span><\/p>\n

\u6b21\u306e\u4f8b\u306f\u3001Python \u3067\u30af\u30ed\u30f3\u30d0\u30c3\u30af\u306e\u30a2\u30eb\u30d5\u30a1\u3092\u8a08\u7b97\u3059\u308b\u65b9\u6cd5\u3092\u793a\u3057\u3066\u3044\u307e\u3059\u3002<\/span><\/p>\n

\u4f8b: Python \u3067\u306e\u30af\u30ed\u30f3\u30d0\u30c3\u30af\u306e\u30a2\u30eb\u30d5\u30a1\u306e\u8a08\u7b97<\/strong><\/span><\/h3>\n

\u30ec\u30b9\u30c8\u30e9\u30f3\u306e\u30de\u30cd\u30fc\u30b8\u30e3\u30fc\u304c\u5168\u4f53\u7684\u306a\u9867\u5ba2\u6e80\u8db3\u5ea6\u3092\u6e2c\u5b9a\u3057\u305f\u3044\u3068\u8003\u3048\u3001\u3055\u307e\u3056\u307e\u306a\u30ab\u30c6\u30b4\u30ea\u30fc\u306b\u3064\u3044\u3066 1 \u304b\u3089 3 \u306e\u30b9\u30b1\u30fc\u30eb\u3067\u30ec\u30b9\u30c8\u30e9\u30f3\u3092\u8a55\u4fa1\u3067\u304d\u308b 10 \u4eba\u306e\u9867\u5ba2\u306b\u30a2\u30f3\u30b1\u30fc\u30c8\u3092\u9001\u4fe1\u3057\u305f\u3068\u3057\u307e\u3059\u3002<\/span><\/p>\n

\u6b21\u306e\u30d1\u30f3\u30c0 \u30c7\u30fc\u30bf\u30d5\u30ec\u30fc\u30e0\u306f\u8abf\u67fb\u7d50\u679c\u3092\u793a\u3057\u3066\u3044\u307e\u3059\u3002<\/span><\/p>\n

 import<\/span> pandas as<\/span> pd\n\n#enter survey responses as a DataFrame\n<\/span><\/span><\/span>df = pd. DataFrame<\/span> ({' Q1<\/span> ': [1, 2, 2, 3, 2, 2, 3, 3, 2, 3],\n                   ' Q2<\/span> ': [1, 1, 1, 2, 3, 3, 2, 3, 3, 3],\n                   ' Q3<\/span> ': [1, 1, 2, 1, 2, 3, 3, 3, 2, 3]})\n\n<\/span>#view DataFrame\n<\/span>df\n\n<\/span>Q1 Q2 Q3\n0 1 1 1\n1 2 1 1\n2 2 1 2\n3 3 2 1\n4 2 3 2\n5 2 3 3\n6 3 2 3\n7 3 3 3\n8 2 3 2\n9 3 3 3<\/span><\/strong><\/span><\/pre>\n
\u30a2\u30f3\u30b1\u30fc\u30c8\u56de\u7b54\u306e\u30af\u30ed\u30f3\u30d0\u30c3\u30af\u306e\u30a2\u30eb\u30d5\u30a1\u3092\u8a08\u7b97\u3059\u308b\u306b\u306f\u3001\u30da\u30f3\u30ae\u30f3<\/strong>\u30e9\u30a4\u30d6\u30e9\u30ea\u306ecronbach_alpha()<\/strong>\u95a2\u6570\u3092\u4f7f\u7528\u3067\u304d\u307e\u3059\u3002<\/span><\/p>\n
\u307e\u305a\u3001\u30da\u30f3\u30ae\u30f3 \u30e9\u30a4\u30d6\u30e9\u30ea\u3092\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\u3057\u307e\u3059\u3002<\/span><\/p>\n
 pip<\/span> install penguin<\/span><\/span><\/span>\n<\/strong><\/span><\/pre>\n
\u6b21\u306b\u3001 cronbach_alpha()<\/strong>\u95a2\u6570\u3092\u4f7f\u7528\u3057\u3066\u3001Cronbach \u306e\u30a2\u30eb\u30d5\u30a1\u3092\u8a08\u7b97\u3057\u307e\u3059\u3002<\/span><\/p>\n
 import<\/span> penguin as<\/span> pg\n\npg. cronbach_alpha<\/span> (data=df)\n\n(0.7734375, array([0.336, 0.939]))<\/strong><\/span><\/pre>\n
\u30af\u30ed\u30f3\u30d0\u30c3\u30af\u306e\u30a2\u30eb\u30d5\u30a1\u306f0.773<\/strong>\u3067\u3042\u308b\u3053\u3068\u304c\u308f\u304b\u308a\u307e\u3059\u3002<\/span><\/p>\n
\u30af\u30ed\u30f3\u30d0\u30c3\u30af\u306e\u30a2\u30eb\u30d5\u30a1\u306e 95% \u4fe1\u983c\u533a\u9593\u3082[.336, .939]<\/strong>\u3067\u4e0e\u3048\u3089\u308c\u307e\u3059\u3002<\/span><\/p>\n
\u6ce8:<\/strong>\u30b5\u30f3\u30d7\u30eb\u30b5\u30a4\u30ba\u304c\u5c0f\u3055\u3044\u305f\u3081\u3001\u3053\u306e\u4fe1\u983c\u533a\u9593\u306f\u975e\u5e38\u306b\u5e83\u304f\u306a\u308a\u307e\u3059\u3002\u5b9f\u969b\u306b\u306f\u3001\u5c11\u306a\u304f\u3068\u3082 20 \u306e\u30b5\u30f3\u30d7\u30eb \u30b5\u30a4\u30ba\u3092\u4f7f\u7528\u3059\u308b\u3053\u3068\u304c\u63a8\u5968\u3055\u308c\u307e\u3059\u3002\u3053\u3053\u3067\u306f\u3001\u7c21\u5358\u306b\u3059\u308b\u305f\u3081\u306b\u30b5\u30f3\u30d7\u30eb \u30b5\u30a4\u30ba 10 \u3092\u4f7f\u7528\u3057\u3066\u3044\u307e\u3059\u3002<\/span><\/em><\/p>\n
\u30c7\u30d5\u30a9\u30eb\u30c8\u306e\u4fe1\u983c\u533a\u9593\u306f 95% \u3067\u3059\u304c\u3001\u6b21\u306e<\/strong>\u5f15\u6570\u3092\u4f7f\u7528\u3057\u3066\u5225\u306e\u4fe1\u983c\u30ec\u30d9\u30eb\u3092\u6307\u5b9a\u3067\u304d\u307e\u3059\u3002<\/span><\/p>\n
 import<\/span> penguin as<\/span> pg\n\n#calculate Cronbach's Alpha and corresponding 99% confidence interval\n<\/span>pg. cronbach_alpha<\/span> (data=df, ci= .99<\/span> )\n\n(0.7734375, array([0.062, 0.962]))<\/strong><\/span><\/pre>\n
\u30af\u30ed\u30f3\u30d0\u30c3\u30af\u306e\u30a2\u30eb\u30d5\u30a1\u5024\u306f\u540c\u3058\u307e\u307e\u3067\u3059\u304c\u3001\u3088\u308a\u9ad8\u3044\u4fe1\u983c\u6c34\u6e96\u3092\u4f7f\u7528\u3057\u305f\u305f\u3081\u3001\u4fe1\u983c\u533a\u9593\u306f\u306f\u308b\u304b\u306b\u5e83\u304f\u306a\u308a\u307e\u3059\u3002<\/span><\/p>\n
\u6b21\u306e\u8868\u306f\u3001\u30af\u30ed\u30f3\u30d0\u30c3\u30af\u306e\u30a2\u30eb\u30d5\u30a1\u306e\u3055\u307e\u3056\u307e\u306a\u5024\u304c\u4e00\u822c\u7684\u306b\u3069\u306e\u3088\u3046\u306b\u89e3\u91c8\u3055\u308c\u308b\u304b\u3092\u793a\u3057\u3066\u3044\u307e\u3059\u3002<\/span><\/p>\n\n\n\n\n\n\n\n\n\n
\u30af\u30ed\u30f3\u30d0\u30c3\u30af\u306e\u30a2\u30eb\u30d5\u30a1<\/span><\/strong><\/th>\n\u5185\u90e8\u4e00\u8cab\u6027<\/span><\/strong><\/th>\n<\/tr>\n
0.9\u2266\u03b1<\/span><\/td>\n\u7d20\u6674\u3089\u3057\u3044<\/span><\/td>\n<\/tr>\n
0.8\u2266\u03b1\uff1c0.9<\/span><\/td>\n\u826f\u3044<\/span><\/td>\n<\/tr>\n
0.7\u2266\u03b1\uff1c0.8<\/span><\/td>\n\u8a31\u5bb9\u3067\u304d\u308b<\/span><\/td>\n<\/tr>\n
0.6\u2266\u03b1\uff1c0.7<\/span><\/td>\n\u7591\u308f\u3057\u3044<\/span><\/td>\n<\/tr>\n
0.5\u2266\u03b1\uff1c0.6<\/span><\/td>\n\u8ca7\u3057\u3044<\/span><\/td>\n<\/tr>\n
\u03b1 < 0.5<\/span><\/td>\n\u53d7\u3051\u5165\u308c\u3089\u308c\u306a\u3044<\/span><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n
\u30af\u30ed\u30f3\u30d0\u30c3\u30af\u306e\u30a2\u30eb\u30d5\u30a1\u306f0.773<\/strong>\u3068\u8a08\u7b97\u3055\u308c\u305f\u305f\u3081\u3001\u3053\u306e\u8abf\u67fb\u306e\u5185\u90e8\u6574\u5408\u6027\u306f\u300c\u8a31\u5bb9\u53ef\u80fd\u300d\u3067\u3042\u308b\u3068\u8a00\u3048\u307e\u3059\u3002<\/span><\/p>\n
\u30dc\u30fc\u30ca\u30b9:<\/strong>\u3053\u306e Cronbach Alpha \u8a08\u7b97\u30c4\u30fc\u30eb\u3092\u81ea\u7531\u306b\u4f7f\u7528\u3057\u3066\u3001\u7279\u5b9a\u306e\u30c7\u30fc\u30bf \u30bb\u30c3\u30c8\u306e Cronbach Alpha \u3092\u898b\u3064\u3051\u3066\u304f\u3060\u3055\u3044\u3002<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"
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