【初級編F】主成分分析と因子分析

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P Q R S U V 索引 183 あ行 か行 Pearsonの相関係数 ............................ 36, 40, 78 Principal Axis Factoring, PAF ........................ 64 Principal Component Analysis, PCA .......... 3, 21 principal component scores ............................. 47 Principal Components Regression, PCR ......... 52 promax rotation ............................................. 125 Python ........................................... 172, 179, 180 quartimax rotation ........................................... 75 R ............................................................ 172, 180 reliability coefficient ..................................... 100 reverse code item ............................................. 68 Reverse Scored Items ...................................... 13 scale score ............................................. 153, 162 SEM ...................................................... 122, 162 simple structure ............................................... 62 SMC squared multiple correlation ............ 82, 83 SUM関数 ...................................................... 155 unique factor .............................................. 60, 61 Unweighted Least-Squares Method .............. 127 varimax rotation .............................................. 64 StatsGuild Inc. ............. 37, 45, 46, 82, 83, 93, 95, 133, 138, 147 一般化した最小2乗法 ................................. 128 因子 .............................................................. 3, 6 因子行列 .................................................. 87, 97 因子軸の回転 ..................................................... ........................ 9, 62, 69, 94, 124, 126, 136, 146 因子相関行列 ....................................... 144, 150 因子得点 ....................................... 115, 117, 162 因子得点係数行列 .......................... 49, 116, 119 因子負荷量 ............................. 8, 60, 87, 97, 141 因子分析 ..................... 1, 3, 6, 9, 11, 59, 60, 123 ウェルチ検定 ............................................... 160 エカマックス ................................................. 75 重み付けのない最小2乗法 .......................... 127 回帰分析 ............................... 4, 48, 52, 115, 162 カイザー・ガットマン基準 .................... 69, 73 階層クラスター................................................ 2 回転後の因子行列 .................................... 88, 97 確認的因子分析.................. 9, 10, 129, 140, 162 カッパ ........................................................... 131 頑健性 ........................................................... 124 観測変数 ................................................. 3, 6, 21 記述統計量 ............................................. 30, 133 逆転項目 ........................................... 13, 68, 162 教師あり学習 ................................................... 5 教師なし学習 ............................................... 4, 5 共通因子 ................................... 6, 32, 60, 80, 92 共通性 ................................................................. 寄与率 ............................................. 9, 38, 84, 96