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šš¸É 3
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„µ¦‡o œ ‡ªo µ °· ­ ¦³Á¦ºÉ ° Š „µ¦¤¸ ­n ª œ¦n ª ¤…°Šž¦³µœÄœ„¦³ªœ„µ¦ž¦³µ‡¤
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3.1 ª·›¸„µ¦ª·‹´¥
3.1.1 …o°¤¼¨ž“¤£¼¤· (Primary Data) ŗo‹µ„„µ¦«¹„¬µ£µ‡­œµ¤ ×¥„µ¦­°™µ¤
…o°¤¼¨ ץ­°™µ¤ Á¡ºÉ°¦³—¤‡ªµ¤‡·—Á®Èœ‹µ„ž¦³µœš¸ÉÁž}œ„¨»n¤˜´ª°¥nµŠ šÎµ„µ¦¦ª¦ª¤
ץčoÁ‡¦ºÉ°Š¤º° —´Šœ¸Ê ‡º°
1) ­°™µ¤ž¨µ¥žd—¨³ž¨µ¥Ážd—¦ª¤„´œ„´„¨»n¤˜´ª°¥nµŠŽ¹ÉŠÄoª·›¸Á¨º°„„¨»n¤˜´ª°¥nµŠ
‡º° ž¦³µ„¦š¸É¤¸¦µ¥ºÉ°˜µ¤š³Á¸¥œ¦µ¬‘¦r ˜Îµ¨˜¨µ—…ª´ °ÎµÁ£°—°¥­³Á„È— ‹´Š®ª´—Á¸¥ŠÄ®¤n
‹Îµœªœ 362 ‡œ
2) ­´¤£µ¬–r„´„¨»n¤˜´ª°¥nµŠŽ¹ÉŠÄoª·›¸Á¨º°„„¨»n¤˜´ª°¥nµŠÂÁŒ¡µ³Á‹µ³‹Š (Purposive
Sampling ) ‹Îµœªœ 6 ‡œ ‡º° ž¦³›µœž¦³µ‡¤®¤¼noµœ 6 ®¤¼noµœ
3.1.2 …o°¤¼¨š»˜·¥£¼¤· ( Secondary Data ) ×¥«¹„¬µ‹µ„Á°„­µ¦ «¹„¬µ‡oœ‡ªoµ‹µ„
®œ´Š­º° ¦µ¥Šµœ „µ¦ª·‹´¥ £µ‡œ·¡œ›r ªµ¦­µ¦š¸ÉÁ„¸É¥ª…o°Š Á¡ºÉ°Áž}œ…o°¤¼¨¡ºÊœ“µœÄœ„µ¦ª·Á‡¦µ³®r
¦nª¤„´…o°¤¼¨ž“¤£¼¤·
3.2 ž¦³µ„¦Äœ„µ¦«¹„¬µÂ¨³„¨»n¤˜´ª°¥nµŠ(Population and Sampling Size)
˜Îµ¨˜¨µ—…ª´ °ÎµÁ£°—°¥­³Á„È— ‹´Š®ª´—Á¸¥ŠÄ®¤n ¤¸ž¦³µ„¦‹Îµœªœ 3,793 ‡œ ¤¸¡ºÊœš¸É
ž„‡¦°Š ‹Îµœªœ 6 ®¤¼noµœ —´Š˜n°Åžœ¸Ê
3.2.1 ž¦³µ„¦š¸ÉšÎµ„µ¦«¹„¬µ nŠ°°„Áž}œ 2 „¨»n¤
„¨»n¤š¸É 1 ŗo„n ž¦³µ„¦š¸É¤¸¦µ¥ºÉ°˜µ¤š³Á¸¥œ¦µ¬‘¦r ˜Îµ¨˜¨µ—…ª´ °ÎµÁ£°—°¥­³Á„È—
‹´Š®ª´—Á¸¥ŠÄ®¤n ‹Îµœªœ 362 ‡œ čoª·›¸­»n¤˜´ª°¥nµŠÂ´ŠÁ°· ץŗo‹„­°™µ¤
ž¦³µœ Ĝ˜Îµ¨˜¨µ—…ª´ °ÎµÁ£°—°¥­³Á„È— ‹´Š®ª´—Á¸¥ŠÄ®¤n
30
®¤¼nš¸É
ž¦³µ„¦(‡œ)
1
2
3
4
5
6
¦ª¤ 6 ®¤¼noµœ
191
1,174
452
781
195
1,000
‹Îµœªœ 3,793 (‡œ)
š¸É¤µ : ­Îµœ´„¦·®µ¦„µ¦š³Á¸¥œ „¦¤„µ¦ž„‡¦°Š °ÎµÁ£°—°¥­³Á„È— ‹´Š®ª´—Á¸¥ŠÄ®¤n
Á—º°œÁ¤¬µ¥œ 2552
čo­¼˜¦Äœ„µ¦®µ„¨»n¤˜´ª°¥nµŠ—´Šœ¸Ê
n =
N
1+N(e)^2
n = …œµ—…°Š˜´ª°¥nµŠ
N = …œµ—…°Šž¦³µ„¦
e = ‡nµ‡ªµ¤‡¨µ—Á‡¨ºÉ°œ Ž¹ÉŠÃ—¥š´ÉªÅž„ε®œ—Ūo – 0.05
‹Îµœªœž¦³µ„¦š´ÊŠ®¤— 3,793 ‡œ
Á¤ºÉ°
n =
3,793
1 + 3,793 (0.05)^2
361.84
31
čo­°™µ¤‹Îµœªœ 362 »— ץčoÁš¸¥¤µ˜¦µ­nªœ¦o°¥¨³Äœ„µ¦Á„ȝ­°™µ¤
—´Šœ¸Ê
®¤¼nš¸É
1 oµœ¡¥µ„—°œÂ„oª
2 oµœœÊε¡¦n
3 oµœ™Êε
4 oµœn°®·œ
5 oµœžiµÂŠ³
6 oµœ¡¥µ„®¨ªŠ
¦ª¤ 6 ®¤¼noµœ
ž¦³µ„¦(‡œ)
191
1,174
452
781
195
1,000
‹Îµœªœ 3,793 (‡œ)
‹Îµœªœ˜´ª°¥nµŠ (»—)
18
112
43
75
19
95
362
„¨»n¤š¸É 2 ŗo„n ‡º° ­´¤£µ¬–r„´„¨»n¤˜´ª°¥nµŠŽ¹ÉŠÄoª›· ¸Á¨º°„„¨»n¤˜´ª°¥nµŠÂ
ÁŒ¡µ³Á‹µ³‹Š ‹Îµœªœ 6 ‡œ ‡º° ž¦³›µœ ž¦³µ‡¤®¤¼n oµœ
ž¦³›µœ ž¦³µ‡¤˜Îµ¨˜¨µ—…ª´
®¤¼nš¸É 1 oµœ¡¥µ„—°œÂ„oª
®¤¼nš¸É 2 oµœœÊε¡¦n
®¤¼nš¸É 3 oµœ™Êε
®¤¼nš¸É 4 oµœn°®·œ
®¤¼nš¸É 5 oµœžiµÂŠ³
®¤¼nš¸É 6 oµœ¡¥µ„®¨ªŠ
32
3.3 „µ¦ª·Á‡¦µ³®r…o°¤¼¨
3.3.1 …o ° ¤¼ ¨ š¸É Å —o ‹ µ„­°™µ¤ šÎ µ „µ¦ª· Á ‡¦µ³®r à —¥Äo ª· ›¸ „ µ¦šµŠ­™· ˜· ŗo  „n
„µ¦Â‹„‹Š‡ªµ¤™¸É ®µ‡nµ¦o°¥¨³ ‡nµÁŒ¨¸É¥ ¨³­nªœÁ¸É¥ŠÁœ¤µ˜¦“µœ ×¥¤¸Á„–”r„µ¦Ä®o‡³Âœœ
¨³Âž¨Ÿ¨ —´Šœ¸Ê
„µ¦Ä®o‡³Âœœ
Á®Èœ—oª¥¤µ„š¸É­»—
5
‡³Âœœ
Á®Èœ—oª¥¤µ„
4
‡³Âœœ
Á®Èœ—oª¥žµœ„¨µŠ
3
‡³Âœœ
Á®Èœ—oª¥œo°¥
2
‡³Âœœ
Á®Èœ—oª¥œo°¥š¸É­»—
1
‡³Âœœ
„µ¦Âž¦Ÿ¨‡³Âœœ 5 ¦³—´ ‡Îµœª–Å—o—´Šœ¸Ê
‡nµ‡³ÂœœÁ®Èœ—oª¥¤µ„š¸É­»— - ‡nµ‡³ÂœœÁ®Èœ—oª¥œo°¥š¸É­»—
‹ÎµœªœnªŠ´Êœ
5-1
= 0.80
5
­nªœš¸É 2 Áž}œ„µ¦™µ¤ ‡ªµ¤‡·—Á®ÈœÁ„¸É¥ª„´‡ªµ¤Á…o¤Â…ÈŠ…°Šž¦³µ‡¤Äœ¡ºÊœš¸É
˜Îµ¨˜¨µ—…ª´ °ÎµÁ£°—°¥­³Á„È— ‹´Š®ª´—Á¸¥ŠÄ®¤n ‹Îµœªœ 28 …o° ץnŠ¦³—´Â¨³Á„–”r
„µ¦Ä®o‡³ÂœœÁ¡ºÉ°Äož¦³„°Äœ„µ¦Áž¦¸¥Áš¸¥ —´Šœ¸Ê
„µ¦Âž¨Ÿ¨‡nµÁŒ¨¸É¥
‡³Âœœ 4.21 - 5.00
®¤µ¥™¹Š
Á®Èœ—oª¥¤µ„š¸­É »—
‡³Âœœ 3.41 - 4.20
®¤µ¥™¹Š
Á®Èœ—oª¥¤µ„
‡³Âœœ 2.61 - 3.40
®¤µ¥™¹Š
Á®Èœ—oª¥žµœ„¨µŠ
‡³Âœœ 1.81 - 2.60
®¤µ¥™¹Š
Á®Èœ—oª¥œo°¥
‡³Âœœ 1.00 - 1.80
®¤µ¥™¹Š
Á®Èœ—oª¥œo°¥š¸É­»—
3.3.2 …o°¤¼¨š¸Éŗo‹µ„„µ¦­´¤£µ¬–r čoª·›¸ª·Á‡¦µ³®rÁœºÊ°®µ (Content Analysis) …o°‡ªµ¤š¸É‹´—
®¤ª—®¤¼n ×¥¡·‹µ¦–‡ªµ¤‡¨oµ¥‡¨¹ŠÂ¨³‡ªµ¤Â˜„˜nµŠÂ¨³­¦oµŠ…o°­¦»ž‹µ„»—…o°¤¼¨
3.3.3 ­™·˜·š¸ÉčoĜ„µ¦š—­°­¤¤˜·“µœš¸ªÉ nµ “ž¦³µœÄœ˜Îµ¨˜¨µ—…ª´ °ÎµÁ£°—°¥
­³Á„È— ‹´Š®ª´—Á¸¥ŠÄ®¤n ¤¸‡ªµ¤¦¼o‡ªµ¤Á…oµÄ‹Äœ„¦³ªœ„µ¦ž¦³µ‡¤Äœ„µ¦„n°­¦oµŠÃ‡¦Š­¦oµŠ
¡ºÊœ“µœœo°¥” čo„µ¦š—­°Å‡­Â‡ª¦r