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4.4 œÎµÂ°™µ¤š¸É Ÿnµœ„µ¦ž¦´ž¦»Š‹µ„Ÿ¼o Á¸É¥ªµÅžš—°„´œ´„«¹„¬µ¤®µª·š¥µ¨´¥«· ¨žµ„¦ ª·š¥µ
Á ˜œµ¤‹´œš¦r ‹Îµœªœ 40 ‡œ ¡ªn µ °™µ¤¤¸‡nµ‡ªµ¤ÁºÉ ° (Reliability) °Š´¤ž¦³· š›·Í°¨¢µ‡°œµ‡
(Cronbach’s Alpha) ¤¸ ‡nµÁšnµ„´ 0.933 Ž¹ÉŠ¤¸‡nµÁ oµÄ„¨o 1 —Šªnµ °™µ¤¤¸ ‡ªµ¤ÁºÉ°¤´Éœ¼Š (¦´¥ ¡· µ¦»˜¦
Áµª¦ Ä®n ªnµŠ ¨³ž¦¸µ °´«ªÁ—µœ» „¦ 2549)
4.5 œÎ µÂ°™µ¤š¸ÉŸnµœ„µ¦˜¦ª‹°‡ªµ¤™¼„˜o °ŠÂ¨³‡ªµ¤ÁºÉ°¤´Éœ ŞÁ„ȝ¦ª¦ª¤ o°¤¼ ¨£µ‡œµ¤š¸É
¤®µª· š¥µ¨´¥«· ¨žµ„¦ ª·š¥µÁ ˜µ¦œÁš«Á¡¦»¦¸ ‹Îµœªœ 400 »— Ž¹ÉŠ„¨»n¤˜´ª°¥nµŠ¤¸ ‹Îµœªœ¤µ„ Ÿ¼oª·‹´¥‹¹ŠÄo ª·›¸„µ¦
»n¤˜´ª°¥nµŠÂÃ‡ª˜µ ×¥—Î µÁœ·œ„µ¦Á„ȝ o°¤¼¨¦³®ªnµŠª´œš¸É 1 – 20 ¤· ™»œµ¥œ 2553
˜µ¦µŠš¸É 1 œµ—ž¦³µ„¦Â¨³˜´ª°¥nµŠÄœ„µ¦ª· ‹´¥
‡–³ œµ—ž¦³µ„¦ (‡œ) œµ—˜´ª°¥nµŠ (‡œ)
‡–³´˜ª«µ˜¦r¨³Áš‡ÃœÃ¨¥¸ „µ¦Á„¬˜¦ 958 80
‡–³ª·š¥µ„µ¦‹´—„µ¦ 3,105 260
‡–³Áš‡ÃœÃ¨¥¸ µ¦œÁš«Â¨³„µ¦ºÉ°µ¦ 699 60
¦ª¤ 4,762 400
5. „µ¦ª·Á‡¦µ³®ro°¤¼¨ Ÿ¼oª·‹´¥Å—o˜¦ª‹°‡ªµ¤™¼„˜o°Š °Š o°¤¼ ¨ ¨oªœÎ µ o°¤¼ ¨š¸Éŗo ު·Á‡¦µ³®r—oª¥
ަ„¦¤ SPSS Ĝnªœ °Š o°¤¼ ¨š´ÉªÅž¡§˜·„¦¦¤„µ¦¼µ¡¦³¡·‰Áœ«ª¦ ¨³ž{ ‹‹´¥„µ¦¼µ¡¦³¡·‰Áœ«ª¦ čo
‡nµ™·˜·¡¦¦–œµž¦³„°—oª¥ ¦o°¥¨³ ‡nµÁŒ¨¸É¥ ¨³nªœÁ¸É¥ŠÁœ¤µ˜¦“µœ
6. „µ¦Âž¨‡ªµ¤®¤µ¥ °Š‡n µÁŒ¨¸É¥ °Šž¦³Á—Èœ‡Îµ™µ¤Áž}œ o°ÄœÂ˜n¨³—oµœ Ĝ°™µ¤ ץčo Á„–”r
„µ¦Âž¨‡ªµ¤®¤µ¥˜µ¤ÂœªšµŠž¦³¡´ ¥ ¡»œœšr (2553) ¦µ¥¨³Á°¸ ¥——´Šœ¸Ê ‡º° 6.1) ‡³Âœœ 4.51 - 5.00 ‡º° ¦³—´
¤µ„š¸É »— 6.2) ‡³Âœœ 3.51 - 4.50 ‡º° ¦³—´¤µ„ 6.3) ‡³Âœœ 2.51 - 3.50 ‡º° ¦³—´žµœ„¨µŠ 6.4) ‡³Âœœ 1.51 –
2.50 ‡º ° ¦³—´œo°¥ ¨³ 6.5) ‡³Âœœ 1.00 – 1.50 ‡º ° ¦³—´œo°¥š¸É »—
7. „µ¦ª·Á‡¦µ³®rž{ ‹‹´¥„µ¦¼µ¡¦³¡·‰Áœ«ª¦ čo ª·›¸ª·Á‡¦µ³®r°Š‡rž¦³„°®¨´„ (Principal Component
Analysis) ×¥¤¸ „µ¦®¤»œÂ„œž{‹‹´¥Ä®o˜´ÊŠŒµ„ (Orthogonal Rotation) —o ª¥ª·›¸„µ¦ Varimax with Kaizer
Normalization Á„–”r „µ¦¡·‹µ¦–µž{‹‹´¥ ‡º° ‡nµ Eigenvalues ˜o°Š¤µ„„ªnµ 1 ¨³‡nµ Factor Loading ˜o°Š¤¸‡nµ´¤¼¦–r
(Absolute) ¤µ„„ªnµ 0.64 (Comery and Lee 1992)
8. „µ¦‹´—„¨»n¤Ÿ¼o¼ µ¡¦³¡·‰Áœ«ª¦˜µ¤¦¼žÂ¡§˜·„¦¦¤Äoª·›¸„µ¦ª·Á‡¦µ³®r„¨»n¤Â K-Means ×¥šÎµ
„µ¦„ε®œ—‹Îµœªœ¦°¤µ„š¸É »— (Maximum Iteration) Ášnµ„´ 25 ¨³„Î µ®œ—´—nªœ °Š¦³¥³®nµŠš¸É ´Êœš¸É »—
(Convergence Criterion) Ášnµ„´ 0 µÁ®˜»š¸Éčo K-Means clustering Ĝ„µ¦‹´—„¨»n¤Ÿ¼o¼µ˜µ¤ž{ ‹‹´¥š¸É„µ¦¼µ¡¦³
¡·‰Áœ«ª¦ Á¡¦µ³„¨»n¤˜´ ª°¥nµŠš¸É˜°Â°™µ¤¤¸‹Îµœªœ¤µ„„ªnµ 200 ‡œ š´ÊŠœ¸Ê Ÿ¼oª·‹´¥‹¹ŠÅ—oš—°ª·›¸„µ¦
ª·Á‡¦µ³®r „¨»n¤Â K-Means ®¨µ¥Ç‡¦´ÊŠ Á¡ºÉ°¡·‹µ¦–µ®µ‹Îµœªœ„¨»n¤š¸É µ¤µ¦™°›·µ¥‡ªµ¤Å—o°¥nµŠÁ®¤µ³¤š¸É »—