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„π®—ßÀ«—¥ÀπÕß§“¬
Motivation and Organizational Support Affecting the Performance Through Position of Subdistrict Public Health Officers
in Nong Khai Province
§ÿ≥“°√ ÿ«√√≥æ—π∏ÿå (Khunakorn Suwannaphan)* ¥√.ª√–®—°√ ∫—«º—π (Dr. Prachak Bouphan)**
∫∑§—¥¬àÕ
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ABSTRACT
The study is a cross-sectional descriptive research. The purposes were to study motivation and Organizational support affecting the performance through position of subdistrict public health officers in nong khai province. The population was 134 subdistrict public health officers and 111 samples were selected by systematic random sampling. The research instruments were the questionnaires and the indepth interview. The data was to acquire percentage, mean, standard deviation, Pearson Product Moment Correlation Coefficient and Stepwise Multiple Regression.The finding revealed that the motivation affecting the performance was at ùhighû level .The organizational support was at ùmoderateû
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°—∫«‘∂’™’«‘µ·≈–ªí≠À“ ÿ¢¿“æ¢Õß§π‰∑¬ ‡ √‘¡ √â“ß level . The performance of subdistrict public health officer was at ùhighû level. The personal characteristics, such as office rank, motivation and organizational support were significantly related to the performance of subdistrict public health officer.There were significance variables that predicted the performance of subdistrict public health officer such as hygiene, personal life factor. motivation, advancement factor.
hygiene, organization Policy and administration factor .motivation, responsibility factor. motivation, recognition factor.These five factors could predict as mush as 53.0 percentage.The most finding problem and obstacle was motivation in area of work condition.
§” ”§—≠ : ·√ß®Ÿß„® °“√ π—∫ πÿπ®“°Õß§å°“√ π—°«‘™“°“√ “∏“√≥ ÿ¢ °“√ªØ‘∫—µ‘ß“πµ“¡∫∑∫“∑Àπâ“∑’Ë Key Words : Motivation, Organizational support, Public health officer, Performance on Charge
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∫∑∫“∑Àπâ“∑’ˉ¥âÕ¬à“ß¡’ª√– ‘∑∏‘¿“æ (ß“π·ºπß“π
”π—°ß“π “∏“√≥ ÿ¢®—ßÀ«—¥ÀπÕß§“¬, 2549) ·µà
„π°“√ªØ‘∫—µ‘ß“π®√‘ßæ∫«à“ ∫ÿ§≈“°√∑’Ë¥”√ßµ”·Àπàß π—°«‘™“°“√ “∏“√≥ ÿ¢√–¥—∫µ”∫≈„π®—ßÀ«—¥ÀπÕß§“¬
¬—ß¡’°“√ªí≠À“„π°“√∑√“∫√“¬≈–‡Õ’¬¥≈—°…≥–ß“π
¿“√°‘®ß“π¬—߉¡à°”Àπ¥°‘®°√√¡∑’Ë™—¥‡®π ∑”„À⢓¥
§«“¡√Ÿâ§«“¡‡¢â“„® ·≈–∑—°…–°“√ªØ‘∫—µ‘ß“π¥â“π«‘™“
°“√ °“√ªØ‘∫—µ‘ß“π¬—ß¡’Àπâ“∑’˵“¡∫∑∫“∑¢ÕߺŸâ„Àâ
∫√‘°“√‡™àπ‡¥‘¡ (ß“πæ—≤π“∫ÿ§≈“°√ ”π—°ß“π “∏“√≥ ÿ¢®—ßÀ«—¥ÀπÕß§“¬,2549) ´÷Ëß®”‡ªìπ Õ ¬à “ ß ¬‘Ë ß ∑’Ë ® – µâ Õ ß ¡’ ° “ √ √â “ ß · √ ß ®Ÿ ß „ ® · ≈ – ° “ √ π—∫ πÿπ®“°Õß§å°“√„Àâπ—°«‘™“°“√ “∏“√≥ ÿ¢√–¥—∫
µ”∫≈ “¡“√∂ªØ‘∫—µ‘ß“π‰¥âµ“¡∫∑∫“∑Õ¬à“߇µÁ¡∑’Ë
´÷ËßÀ“°¡’°“√®Ÿß„®·≈–°“√ π—∫ πÿπ®“°Õß§å°“√∑’Ë¥’
®–‡°‘¥º≈„π‡™‘ß∫Ÿ√≥“°“√¥â“π«‘™“°“√µàÕ°“√µ—¥ ‘π
„®„π‡™‘ß∫√‘À“√·≈–‡°‘¥ª√–‚¬™πåµàÕ°“√∫√‘°“√
®“°§«“¡‡ªìπ¡“·≈– ¿“æªí≠À“¥—ß°≈à“«¢â“ßµâπ ºŸâ»÷°…“«‘®—¬´÷Ëßªí®®ÿ∫—πªØ‘∫—µ‘ß“π„π»Ÿπ¬å ÿ¢¿“æ
™ÿ¡™π ®÷ß π„®∑’Ë®–»÷°…“«à“¡’·√ß®Ÿß„®·≈–°“√
π—∫ πÿπ®“°Õß§å°“√„¥∫â“ß∑’Ë®–¡’º≈µàÕ°“√ªØ‘∫—µ‘
ß“πµ“¡∫∑∫“∑Àπâ“∑’Ë¢Õßπ—°«‘™“°“√ “∏“√≥ ÿ¢
√–¥—∫µ”∫≈ √–¥—∫·√ß®Ÿß„®·≈–√–¥—∫°“√ π—∫ πÿπ
®“°Õß§å°“√‡ªìπÕ¬à“߉√ ¡’§ÿ≥≈—°…≥– à«π∫ÿ§§≈
·√ß®Ÿß„®·≈–°“√ π—∫ πÿπ®“°Õß§å°“√„¥∫â“ß∑’Ë¡’º≈
µàÕ°“√ªØ‘∫—µ‘ß“πµ“¡∫∑∫“∑Àπâ“∑’Ë ¢Õßπ—°«‘™“°“√
“∏“√≥ ÿ¢ √–¥—∫µ”∫≈ „π®—ßÀ«—¥ÀπÕß§“¬
√«¡∂÷ß°“√√—∫∑√“∫ªí≠À“Õÿª √√§∑’ˇ°‘¥¢÷Èπ®“°
°“√ªØ‘∫—µ‘ß“π ‡Àµÿº≈¥—ß°≈à“« ®÷߇ªìπª√–‡¥Áπ ”§—≠¢Õß°“√»÷°…“«‘®—¬„π§√—Èßπ’È
«‘∏’°“√«‘®—¬
°“√»÷°…“§√—Èßπ’È ‡ªìπ°“√«‘®—¬‡™‘ßæ√√≥π“
·∫∫¿“§µ—¥¢«“ß (Cross Sectional Study Descriptive Research) ‡°Á∫¢âÕ¡Ÿ≈∑—È߇™‘ߪ√‘¡“≥·≈–‡™‘ß§ÿ≥¿“æ
‚¥¬«‘∏’°“√ ”√«®
ª√–™“°√ ·≈–°≈ÿࡵ—«Õ¬à“ß
ª√–™“°√∑’Ë„™â„π°“√»÷°…“§√—Èßπ’È §◊Õ
π—°«‘™“°“√ “∏“√≥ ÿ¢√–¥—∫µ”∫≈∑’˪ؑ∫—µ‘ß“π®√‘ß
„π®—ßÀ«—¥ÀπÕß§“¬ ªïß∫ª√–¡“≥ 2550 (µÿ≈“§¡
2549 - °ÿ¡¿“æ—π∏å 2550) ®”π«π 134 §π ·≈–
ÿࡵ—«Õ¬à“ß·∫∫‡ªìπ√–∫∫ ‰¥â°≈ÿࡵ—«Õ¬à“ß ®”π«π 111 §π
‡§√◊ËÕß¡◊Õ„π°“√«‘®—¬
¢â Õ ¡Ÿ ≈ ‡ ™‘ ß ª √‘ ¡ “ ≥ „ ™â ‡ ªì π · ∫ ∫ Õ ∫ ∂ “ ¡
·≈–¢âÕ¡Ÿ≈‡™‘ß§ÿ≥¿“æ„™â·∫∫ —¡¿“…≥å·∫∫‡®“–≈÷°
‚¥¬ √â“ß®“°°“√∑∫∑«π‡Õ° “√·≈–ß“π«‘®—¬∑’Ë
‡°’ˬ«¢âÕß·≈–µ√«® Õ∫§«“¡µ√ߢÕ߇π◊ÈÕÀ“‚¥¬
ºŸâ‡™’ˬ«™“≠®”π«π 3 ∑à“π µ√«® Õ∫§«“¡‡∑’ˬß
‚¥¬π”·∫∫ Õ∫∂“¡‰ª∑¥≈Õß„™â (Try Out) °—∫
π—°«‘™“°“√ “∏“√≥ ÿ¢√–¥—∫µ”∫≈ ‚¥¬„™â«‘∏’À“
§à“ —¡ª√– ‘∑∏‘ÏÕ—≈øÉ“¢Õß§√Õπ∫“™ (Cronbrachûs Alpha Coefficient) ‰¥â§à“§«“¡‡∑’Ë¬ß 0.96
°“√‡°Á∫√«∫√«¡¢âÕ¡Ÿ≈
¥”‡π‘π°“√√–À«à“ß«—π∑’Ë 3 ¡°√“§¡ - 28
°ÿ¡¿“æ—π∏å 2550 ∑”Àπ—ß ◊Õ¢ÕÕπÿ≠“µ„π°“√∑”
«‘®—¬·≈–‡°Á∫√«∫√«¡¢âÕ¡Ÿ≈®“°¡À“«‘∑¬“≈—¬¢Õπ·°àπ
∂÷ß𓬷æ∑¬å “∏“√≥ ÿ¢®—ßÀ«—¥ÀπÕß§“¬ „π°√≥’
·∫∫ Õ∫∂“¡ ºŸâ«‘®—¬π”·∫∫ Õ∫∂“¡‰ªµ‘¥µàÕ ª√– “πß“π°—∫‡®â“Àπâ“∑’˺Ÿâ√—∫º‘¥™Õ∫ß“π«‘™“°“√
√–¥—∫Õ”‡¿Õ ∑ÿ°Õ”‡¿Õ„π®—ßÀ«—¥ÀπÕß§“¬ ‡æ◊ËÕ„Àâ
‡ªìπºŸâª√– “πß“π„π°“√‡°Á∫√«∫√«¡¢âÕ¡Ÿ≈°—∫°≈ÿà¡
µ—«Õ¬à“ß „π°√≥’·∫∫ —¡¿“…≥å·∫∫‡®“–≈÷° ºŸâ«‘®—¬
𗥫—π —¡¿“…≥å°≈ÿࡵ—«Õ¬à“ß∑—Èß 12 §π≈à«ßÀπâ“ àß Àπ—ß ◊Õ¢Õ§«“¡Õπÿ‡§√“–Àå„π°“√„Àâ —¡¿“…≥å·≈–
·®âßÀ—«¢âÕ„π°“√ —¡¿“…≥å„Àâ°≈ÿࡵ—«Õ¬à“ß∑√“∫‡æ◊ËÕ
¢Õ§«“¡√à«¡¡◊Õ ·≈–¥”‡π‘π°“√ —¡¿“…≥å
∂‘µ‘∑’Ë„™â„π°“√«‘‡§√“–Àå¢âÕ¡Ÿ≈
1. ·∫∫ Õ∫∂“¡
1) ∂‘µ‘‡™‘ßæ√√≥π“ (Descriptive Statistics) (1) §ÿ≥≈—°…≥– à«π∫ÿ§§≈ ‰¥â·°à ‡æ»
Õ“¬ÿ ∂“π¿“æ ¡√ √–¥—∫°“√»÷°…“ √“¬‰¥â ª√– ∫°“√≥å„πªØ‘∫—µ‘ß“π „™â ∂‘µ‘ °“√·®°·®ß§«“¡∂’Ë
√âÕ¬≈– §à“‡©≈’ˬ à«π‡∫’ˬ߇∫π¡“µ√∞“π §à“¡—∏¬∞“π
§à“µË” ÿ¥ ·≈– §à“ Ÿß ÿ¥
(2) √–¥—∫·√ß®Ÿß„® √–¥—∫°“√ π—∫ πÿπ
®“°Õß§å°“√ ·≈–√–¥—∫°“√ªØ‘∫—µ‘ß“πµ“¡∫∑∫“∑
Àπâ“∑’Ë¢Õßπ—°«‘™“°“√ “∏“√≥ ÿ¢√–¥—∫µ”∫≈ „™â ∂‘µ‘
√âÕ¬≈– §à“‡©≈’ˬ ·≈– à«π‡∫’ˬ߇∫π¡“µ√∞“π (3) ªí≠À“ Õÿª √√§ ·≈–¢âÕ‡ πÕ·π–
„π°“√ªØ‘∫—µ‘ß“πµ“¡∫∑∫“∑Àπâ“∑’Ë¢Õßπ—°«‘™“°“√
“∏“√≥ ÿ¢√–¥—∫µ”∫≈ «‘‡§√“–Àå‚¥¬«‘∏’æ√√≥π“
2) ∂‘µ‘‡™‘ßÕπÿ¡“π (Inferential Statistics) (1) „™â ∂‘µ‘Pearson Product Moment Correlation Coefficient À√◊Õ°“√À“§à“ —¡ª√– ‘∑∏‘Ï À —¡æ—π∏å¢Õ߇撬√å —π„π°“√À“§«“¡ —¡æ—π∏å
√–À«à“ßµ—«·ª√µâπ·≈–µ—«·ª√µ“¡ ∑’≈–§Ÿà (Bivariate Analysis)
(2) „™â ∂‘µ‘ Stepwise Multiple Regression Analysis À√◊Õ °“√∂¥∂Õ¬æÀÿ·∫∫
¢—ÈπµÕπ „π°“√«‘‡§√“–Àå§«“¡ —¡æ—π∏åÀ≈“¬µ—«·ª√
(Multivariate Relationship) 2. ¢âÕ¡Ÿ≈‡™‘ß§ÿ≥¿“æ
ª√–°Õ∫‰ª¥â«¬ ·√ß®Ÿß„®∫“ß à«π °“√
π—∫ πÿπ®“°Õß§å°“√∫“ß à«π ·≈–°“√ªØ‘∫—µ‘ß“π µ“¡∫∑∫“∑Àπâ“∑’Ë¢Õßπ—°«‘™“°“√ “∏“√≥ ÿ¢ µ≈Õ¥®π ªí≠À“Õÿª √√§ ∑”°“√«‘‡§√“–À凙‘߇π◊ÈÕÀ“ (Content Analysis)
√ÿªº≈°“√«‘®—¬
1. §ÿ≥≈—°…≥– à«π∫ÿ§§≈
°≈ÿࡵ—«Õ¬à“ß à«π„À≠à‡ªìπ‡æ»™“¬ √âÕ¬≈–
58.6 Õ“¬ÿ√–À«à“ß 30-40 ªï √âÕ¬≈– 61.30 Õ“¬ÿ‡©≈’ˬ
34.62 ªï (S.D.=5.81) Õ“¬ÿµË” ÿ¥ 24 ªï Õ“¬ÿ Ÿß ÿ¥
50 ªï ∂“π¿“æ ¡√ §Ÿà √âÕ¬≈– 73.9 √–¥—∫
°“√»÷°…“ √–¥—∫ª√‘≠≠“µ√’ √âÕ¬≈– 98.2 √“¬‰¥â 15,001-20,000 ∫“∑ √âÕ¬≈– 45.05 ª√– ∫°“√≥å
„π°“√∑”ß“π 1 - 10 ªï √âÕ¬≈– 86.49. ‡©≈’ˬ 5.40 ªï (S.D. = 5.28) ª√– ∫°“√≥å∑’˪ؑ∫—µ‘ß“π µË” ÿ¥
1 ªï Ÿß ÿ¥ 24 ªï
2. √ – ¥— ∫ · √ ß ®Ÿ ß „ ® ¢ Õ ß π— ° «‘ ™ “ ° “ √ “∏“√≥ ÿ¢√–¥—∫µ”∫≈ „π®—ßÀ«—¥ÀπÕß§“¬
„π¿“æ√«¡°≈ÿࡵ—«Õ¬à“ß¡’·√ß®Ÿß„®Õ¬Ÿà„π
√–¥—∫¡“° §à“‡©≈’ˬ 3.69 (S.D.= 0.38) ¡’·√ß
®Ÿß„®¥â“πªí®®—¬®Ÿß„®Õ¬Ÿà„π√–¥—∫¡“°§à“‡©≈’ˬ 3.55 (S.D.= 0.44) ·√ß®Ÿß„®¥â“πªí®®—¬§È”®ÿπÕ¬Ÿà„π
√–¥—∫ª“π°≈“ß §à“‡©≈’ˬ 3.49 (S.D.= 0.65)
‡¡◊ËÕæ‘®“√≥“√“¬¥â“π æ∫«à“ ¥â“π§«“¡√—∫º‘¥™Õ∫
¡’§à“‡©≈’ˬ Ÿß∑’Ë ÿ¥‚¥¬¡’·√ß®Ÿß„®„π√–¥—∫¡“° ¡’§à“
‡©≈’ˬ 4.03 (S.D.= 0.44) à«π¥â“π∑’Ë¡’§à“‡©≈’ˬπâÕ¬
∑’Ë ÿ¥‰¥â·°à ¥â“π ¿“æ°“√ªØ‘∫—µ‘ß“π ‚¥¬¡’·√ß®Ÿß„®
„π√–¥—∫ª“π°≈“ß ¡’§à“‡©≈’ˬ 3.08 (S.D.= 0.79)
®“°°“√ —¡¿“…≥å·∫∫‡®“–≈÷° æ∫¢âÕ¡Ÿ≈
‡æ‘Ë¡‡µ‘¡§◊Õ ·√ß®Ÿß„®„π°“√ªØ‘∫—µ‘ß“π∑’Ë®–∑”„Àâ
°“√ªØ‘∫—µ‘ß“π ¡’ª√– ‘∑∏‘¿“æ§◊Õ °“√„À⇰’¬√µ‘
°“√¬°¬àÕ߇™‘¥™Ÿ §«“¡™◊Ëπ™¡„πº≈ß“π∑’Ë√—∫º‘¥™Õ∫
°“√„Àâ§«“¡ ”§—≠ °“√¬Õ¡√—∫·≈–‡™◊ËÕ¡—Ëπ ¢«—≠
°”≈—ß„®„π°“√ªØ‘∫—µ‘ß“π °“√ à߇ √‘¡°“√∑”ß“π Õ¬à“ß¡’§«“¡ ÿ¢ §«“¡°â“«Àπâ“∑“ß«‘™“™’æ °“√‰¥â
√—∫√“ß«—≈/ ‘ËßµÕ∫·∑𠇙àπ °“√æ‘®“√≥“§«“¡¥’
§«“¡™Õ∫ §à“µÕ∫·∑π„π°“√ªØ‘∫—µ‘ß“π œ≈œ
°“√¡Õ∫À¡“¬ß“π„À≥ⷠ¥ß§«“¡ “¡“√∂Õ¬à“߇µÁ¡∑’Ë à«πªí≠À“ Õÿª √√§ ‡°’ˬ«°—∫·√ß®Ÿß„®„π°“√ªØ‘∫—µ‘
ß“π„π §◊Õ ‡ß‘π‡¥◊Õπ §à“µÕ∫·∑π·≈–‚Õ°“
°â“«Àπâ“„πÀπâ“∑’˰“√ß“π¡’πâÕ¬
3. √–¥—∫°“√ π—∫ πÿπ®“°Õß§å°“√¢Õß π—°«‘™“°“√ “∏“√≥ ÿ¢√–¥—∫µ”∫≈ „π®—ßÀ«—¥
ÀπÕß§“¬
„π¿“æ√«¡æ∫«à“¡’°“√ π—∫ πÿπ®“°Õß§å°“√
Õ¬Ÿà„π√–¥—∫ª“π°≈“ß §à“‡©≈’ˬ 3.44 (S.D.= 0.48)
‡¡◊ËÕæ‘®“√≥“√“¬¥â“πæ∫«à“ Õ¬Ÿà„π√–¥—∫ª“π°≈“ß 2 ¥â“π·≈–√–¥—∫¡“° 2 ¥â“π ¥â“π∑’Ë¡’§à“‡©≈’ˬ¡“°
∑’Ë ÿ¥§◊Õ ¥â“π«— ¥ÿÕÿª°√≥å ¡’§à“‡©≈’ˬ 3.60 (S.D.=
0.61) √Õß≈ß¡“§◊Õ¥â“π°“√∫√‘À“√¡’§à“‡©≈’ˬ 3.58 (S.D.= 0.58) µ“¡≈”¥—∫ à«π¥â“π∑’Ë¡’§à“‡©≈’ˬπâÕ¬
∑’Ë ÿ¥‡∑à“°—π 2 ¥â“π §◊Õ ¥â“π∫ÿ§≈“°√ ·≈–¥â“πß∫
ª√–¡“≥ ¡’§à“‡©≈’ˬ 3.28 ‡∑à“°—π (S.D.= 0.58
·≈– 0.60 µ“¡≈”¥—∫)
®“°°“√ —¡¿“…≥å·∫∫‡®“–≈÷° æ∫«à“ ”À√—∫
‘Ëß∑’˧«√ π—∫ πÿπ„π°“√ªØ‘∫—µ‘ß“πµ“¡∫∑∫“∑
Àπâ“∑’Ë¢Õß π—°«‘™“°“√ “∏“√≥ ÿ¢√–¥—∫µ”∫≈ „π
®—ßÀ«—¥ÀπÕß§“¬ ‰¥â·°à ∫ÿ§≈“°√ ß∫ª√–¡“≥
«— ¥ÿÕÿª°√≥å °“√∫√‘À“√®—¥°“√
4. √ – ¥— ∫ ° “ √ ª Ø‘ ∫— µ‘ ß “ π µ “ ¡ ∫ ∑ ∫ “ ∑ Àπâ“∑’Ë¢Õßπ—°«‘™“°“√ “∏“√≥ ÿ¢√–¥—∫µ”∫≈ „π
®—ßÀ«—¥ÀπÕß§“¬
„π¿“æ√«¡æ∫«à“¡’°“√ªØ‘∫—µ‘ß“πÕ¬Ÿà„π
√–¥—∫¡“° §à“‡©≈’ˬ 3.60 (S.D.= 0.51) ‡¡◊ËÕ æ‘®“√≥“√“¬¥â“πæ∫«à“ à«π„À≠àÕ¬Ÿà„π√–¥—∫¡“°
·≈–¥â“π∑’Ë¡’§à“‡©≈’ˬ Ÿß∑’Ë ÿ¥§◊Õ °“√«“ß·ºπ·≈–°“√
ª√–¡«≈º≈ªí≠À“ “∏“√≥ ÿ¢ §à“‡©≈’ˬ 4.13 (S.D.=0.62) √Õß≈ß¡“§◊Õ ¥â“π°“√«‘‡§√“–Àå√–∫∫
ß“π “∏“√≥ ÿ¢ §à“‡©≈’ˬ 3.76 (S.D.= 0.62) µ“¡
≈”¥—∫ à«π¥â“π∑’ËÕ¬Ÿà„π√–¥—∫ª“π°≈“ß·≈–¡’§à“‡©≈’ˬ
πâÕ¬∑’Ë ÿ¥§◊Õ ¥â“π°“√„Àâ§”ª√÷°…“·π–π”¥â“π
«‘™“°“√ §à“‡©≈’ˬ 3.25 (S.D.= 0.82)
®“°°“√ —¡¿“…≥å·∫∫‡®“–≈÷° æ∫«à“ ªí≠À“
Õÿª √√§ §◊Õ °“√√—∫º‘¥™Õ∫ß“π∑’ˉ¡àµ√ßµ“¡
∫∑∫“∑Àπâ“∑’Ë
5. §ÿ≥≈—°…≥– à«π∫ÿ§§≈ ·√ß®Ÿß„® ·≈–
°“√ π—∫ πÿπ®“°Õß§å°“√ ∑’Ë¡’§«“¡ —¡æ—π∏å°—∫
°“√ªØ‘∫—µ‘ß“πµ“¡∫∑∫“∑Àπâ“∑’Ë ¢Õßπ—°«‘™“°“√
“∏“√≥ ÿ¢√–¥—∫µ”∫≈ „π®—ßÀ«—¥ÀπÕß§“¬
§ÿ≥≈—°…≥– à«π∫ÿ§§≈ æ∫«à“ ‡æ» Õ“¬ÿ ∂“π¿“æ ¡√ √–¥—∫°“√»÷°…“ √“¬‰¥â √–¬–‡«≈“
∑’˪ؑ∫—µ‘ß“π·≈–ª√– ∫°“√≥å∑’˪ؑ∫—µ‘ß“π„π∞“π–
π—°«‘™“°“√ ª√– ∫°“√≥å„π°“√ªØ‘∫—µ‘ß“π„π∞“π–
π—°«‘™“°“√ ¡’§«“¡ —¡æ—π∏å°—∫°“√ªØ‘∫—µ‘ß“π¢Õß π—°«‘™“°“√ “∏“√≥ ÿ¢√–¥—∫µ”∫≈ „π®—ßÀ«—¥
ÀπÕß§“¬ Õ¬à“߉¡à¡’π—¬ ”§—≠∑“ß ∂‘µ‘
·√ß®Ÿß„® æ∫«à“ ¿“æ√«¡¢Õß·√ß®Ÿß„® ¿“æ
√«¡¢Õßªí®®—¬®Ÿß„® ·≈–¿“æ√«¡¢Õßªí®®—¬§È”®ÿπ
¡’§«“¡ —¡æ—π∏å√–¥—∫ª“π°≈“ß°—∫°“√ªØ‘∫—µ‘ß“π
µ“¡∫∑∫“∑Àπâ“∑’Ë¢Õßπ—°«‘™“°“√ “∏“√≥ ÿ¢√–¥—∫
µ”∫≈ „π®—ßÀ«—¥ÀπÕß§“¬ Õ¬à“ß¡’π—¬ ”§—≠∑“ß ∂‘µ‘
(r=0.598, p-value<0.001,r=0.534, p-value<
0.001,r = 0.552, p-value < 0.001 µ“¡≈”¥—∫) à«π¿“æ√«¡¢Õßªí®®—¬®Ÿß„® ·≈–ªí®®—¬®Ÿß„®√“¬¥â“π
∑ÿ°¥â“π§◊Õ ¥â“π§«“¡ ”‡√Á®„π°“√∑”ß“π ¥â“π°“√
¬Õ¡√—∫π—∫∂◊Õ ¥â“π≈—°…≥–¢Õßß“π ·≈–¥â“π‚Õ°“
°â“«Àπâ“„πÀπâ“∑’˰“√ß“π ”À√—∫ªí®®—¬§È”®ÿπ√“¬
¥â“π à«π„À≠à§◊Õ ¥â“π‡ß‘π‡¥◊Õπ/§à“µÕ∫·∑π
¥â“π ∂“π¿“æ¢Õß«‘™“™’æ ¥â“π§«“¡¡—Ëπ§ß„π°“√
ªØ‘∫—µ‘ß“π·≈–¥â“π™’«‘µ§«“¡‡ªìπÕ¬Ÿà à«πµ—« ¡’§«“¡
—¡æ—π∏å√–¥—∫ª“π°≈“ß∑“ß∫«°°—∫°“√ªØ‘∫—µ‘ß“π µ“¡∫∑∫“∑Àπâ“∑’Ë ¢Õßπ—°«‘™“°“√ “∏“√≥ ÿ¢
√–¥—∫µ”∫≈ „π®—ßÀ«—¥ÀπÕß§“¬ Õ¬à“ß¡’π—¬ ”§—≠
∑“ß ∂‘µ‘ (r = 0.325, p-value<0.001, r = 0.480, p-value<0.001, r = 0.450, p-value<0.00, r=0.502, p-value<0.001, r=0.552, p-value
<0.001, r=0.500, p-value<0.001, r=0.359, p-value<0.001, r=0.367, p-value< 0.001, r=0.596,p-value< 0.001, r= 0.687, p-value <
0.001, r=0.517, p-value< 0.001r=0.545, p-value <0.001, r=0.453, p-value< 0.001 µ“¡≈”¥—∫) à«π¥â“π§«“¡√—∫º‘¥™Õ∫ ¥â“π§«“¡
—¡æ—π∏å√–À«à“ß∫ÿ§§≈ ¥â“π°“√ª°§√Õß∫—ß§—∫∫—≠™“
¥â“π ¿“æ°“√ªØ‘∫—µ‘ß“π ¥â“π∑’Ë¡’§«“¡ —¡æ—π∏å„π
√–¥—∫µË”∑“ß∫«° Õ¬à“ß¡’π—¬ ”§—≠∑“ß ∂‘µ‘ (r = 0.264, p-value < 0.005, r = 0.269, p-value 0.004, r = 0.272, p-value 0.004, r =0.293, p-value 0.002 µ“¡≈”¥—∫) à«π¥â“π∑’ˉ¡à¡’§«“¡
—¡æ—π∏å‡≈¬§◊Õ ¥â“π‡ß‘π‡¥◊Õπ/§à“µÕ∫·∑π
°“√ π—∫ πÿπ®“°Õß§å°“√ æ∫«à“ ¿“æ√«¡
¢Õß°“√ π—∫ πÿπ®“°Õß§å°“√ °“√ π—∫ πÿπ
®“°Õß§å°“√√“¬¥â“π à«π„À≠à§◊Õ ¥â“π∫ÿ§≈“°√
¥â“π«— ¥ÿÕÿª°√≥å ·≈–¥â“π°“√∫√‘À“√¡’§«“¡
—¡æ—π∏å√–¥—∫ª“π°≈“ß∑“ß∫«°°—∫°“√ªØ‘∫—µ‘ß“π µ “ ¡ ∫ ∑ ∫ “ ∑ À πâ “ ∑’Ë ¢ Õ ß π— ° «‘ ™ “ ° “ √ “ ∏ “ √ ≥ ÿ ¢
√–¥—∫µ”∫≈ „π®—ßÀ«—¥ÀπÕß§“¬ Õ¬à“ß¡’π—¬ ”§—≠
∑“ß ∂‘µ‘ (r = 0.348, p-value< 0.001, r = 0.372, p-value <0.001, r = 0.340, p-value <0.001 µ“¡≈”¥—∫) à«π¥â“π«— ¥ÿÕÿª°√≥å ¡’§«“¡ —¡æ—π∏å
√–¥—∫µË”∑“ß∫«°°—∫°“√ªØ‘∫—µ‘ß“π¢Õßπ—°«‘™“°“√
“∏“√≥ ÿ¢√–¥—∫µ”∫≈ „π®—ßÀ«—¥ÀπÕß§“¬ Õ¬à“ß¡’
π—¬ ”§—≠∑“ß ∂‘µ‘ (r = 0.231, p-value < 0.001 µ“¡≈”¥—∫)
6. ªí®®—¬∑’Ë¡’º≈µàÕ°“√ªØ‘∫—µ‘ß“πµ“¡
∫∑∫“∑Àπâ“∑’Ë¢Õßπ—°«‘™“°“√ “∏“√≥ ÿ¢√–¥—∫µ”∫≈
®—ßÀ«—¥ÀπÕß§“¬ §◊Õ ªí®®—¬§È”®ÿπ¥â“π™’«‘µ§«“¡
‡ªìπÕ¬Ÿà à«πµ—« ªí®®—¬®Ÿß„®¥â“π§«“¡°â“«Àπâ“„π µ”·Àπàß ªí®®—¬§È”®ÿπ¥â“ππ‚¬∫“¬„π°“√∫√‘À“√
ªí®®—¬®Ÿß„®¥â“π§«“¡√—∫º‘¥™Õ∫ ·≈–ªí®®—¬®Ÿß„®
¥â“π°“√¬Õ¡√—∫π—∫∂◊Õ (p-value < 0.001, p-value
< 0.001, p-value < 0.001, p-value = < 0.001
·≈– p-value = < 0.001 µ“¡≈”¥—∫) ∑’Ë√–¥—∫
π—¬ ”§—≠∑“ß ∂‘µ‘ 0.05 ¥—ß ¡°“√
¡°“√„π√Ÿª§–·ππ¥‘∫
Y= 1.239+0.327 (ªí®®—¬§È”®ÿπ¥â“π™’«‘µ§«“¡‡ªìπ Õ¬Ÿà à«πµ—«) +0.233(ªí®®—¬®Ÿß„®¥â“π§«“¡°â“«Àπâ“
„πµ”·Àπàß) +0.186 (ªí®®—¬§È”®ÿπ¥â“ππ‚¬∫“¬
„π°“√∫√‘À“√) +-0.353 (ªí®®—¬®Ÿß„®¥â“π§«“¡
√—∫º‘¥™Õ∫) +0.237 (ªí®®—¬®Ÿß„®¥â“π°“√¬Õ¡√—∫
π—∫∂◊Õ)
¡°“√„π√Ÿª§–·ππ¡“µ√∞“π
Z = 0.395 (ªí®®—¬§È”®ÿπ¥â“π™’«‘µ§«“¡‡ªìπÕ¬Ÿà à«πµ—«) + 0.301 (ªí®®—¬®Ÿß„®¥â“π§«“¡°â“«Àπâ“„π µ”·Àπàß)+0.217(ªí®®—¬ §È”®ÿπ¥â“ππ‚¬∫“¬„π°“√
∫√‘À“√)+-0.304 (ªí®®—¬®Ÿß„®¥â“π§«“¡√—∫º‘¥™Õ∫) +0.240 (ªí®®—¬®Ÿß„®¥â“π°“√¬Õ¡√—∫π—∫∂◊Õ)
¥—ßπ—Èπ ®÷ß°≈à“«‰¥â«à“µ—«·ª√Õ‘ √–∑—Èß 5 µ—«
“¡“√∂欓°√≥å°“√ªØ‘∫—µ‘ß“πµ“¡∫∑∫“∑Àπâ“∑’Ë
¢Õßπ—°«‘™“°“√ “∏“√≥ ÿ¢√–¥—∫µ”∫≈ „π®—ßÀ«—¥
ÀπÕß§“¬ ‰¥â√âÕ¬≈– 53.0
°“√∑¥ Õ∫ ¡¡µ‘∞“π¢Õß°“√«‘®—¬
1. §ÿ≥≈—°…≥– à«π∫ÿ§§≈ ‰¥â·°à ‡æ» Õ“¬ÿ ∂“π¿“æ ¡√ √–¥—∫°“√»÷°…“ ª√– ∫°“√≥å∑’Ë ªØ‘∫—µ‘ß“π„π∞“π–π—°«‘™“°“√ ‰¡à¡’º≈µàÕ°“√ªØ‘∫—µ‘
ß“πµ“¡∫∑∫“∑Àπâ“∑’Ë¢Õßπ—°«‘™“°“√ “∏“√≥ ÿ¢
√–¥—∫µ”∫≈ „π®—ßÀ«—¥ÀπÕß§“¬ º≈°“√«‘®—¬‰¡à‡ªìπ
‰ªµ“¡ ¡¡µ‘∞“π
2. ·√ß®Ÿß„®¡’º≈µàÕ°“√ªØ‘∫—µ‘ß“πµ“¡
∫∑∫“∑Àπâ“∑’Ë¢Õßπ—°«‘™“°“√ “∏“√≥ ÿ¢√–¥—∫µ”∫≈
„π®—ßÀ«—¥ÀπÕß§“¬
1) ªí®®—¬®Ÿß„®∑ÿ°¥â“π¡’º≈µàÕ°“√
ª Ø‘ ∫— µ‘ ß “ π µ “ ¡ ∫ ∑ ∫ “ ∑ À πâ “ ∑’Ë ¢ Õ ß π— ° «‘ ™ “ ° “ √ “∏“√≥ ÿ¢√–¥—∫µ”∫≈ „π®—ßÀ«—¥ÀπÕß§“¬ º≈°“√
«‘®—¬‡ªìπ‰ªµ“¡ ¡¡µ‘∞“π
2) ªí®®—¬§È”®ÿπ¥â“π§«“¡ —¡æ—π∏å à«π
∫ÿ§§≈ ¥â“π°“√ª°§√Õß∫—ß§—∫∫—≠™“ π‚¬∫“¬
·≈–°“√∫√‘À“√ ¥â“π ¿“æ°“√ªØ‘∫—µ‘ß“π ¥â“π ∂“π¿“æ¢Õß«‘™“™’æ ¥â“π§«“¡¡—Ëπ§ß „π°“√
ªØ‘∫—µ‘ß“π ·≈–¥â“π™’«‘µ§«“¡‡ªìπÕ¬Ÿà à«πµ—«
¡’ º ≈ µà Õ ° “ √ ª Ø‘ ∫— µ‘ ß “ π µ “ ¡ ∫ ∑ ∫ “ ∑ À πâ “ ∑’Ë ¢ Õ ß π—°«‘™“°“√ “∏“√≥ ÿ¢√–¥—∫µ”∫≈ „π®—ßÀ«—¥
ÀπÕß§“¬ º≈°“√«‘®—¬‡ªìπ‰ªµ“¡ ¡¡µ‘∞“π
°“√Õ¿‘ª√“¬º≈
1. √ – ¥— ∫ · √ ß ®Ÿ ß „ ® ¢ Õ ß π— ° «‘ ™ “ ° “ √ “∏“√≥ ÿ¢√–¥—∫µ”∫≈ „π®—ßÀ«—¥ÀπÕß§“¬
‚¥¬¿“æ√«¡ Õ¬Ÿà„π√–¥—∫¡“° §à“‡©≈’ˬ
3.69 (S.D.= 0.38) Õ¥§≈âÕß°—∫°“√»÷°…“
¢Õßæ™√æ√ (2549) æ∫«à“ ¿“æ√«¡¢Õß·√ß®Ÿß„®
„π°“√ªØ‘∫—µ‘ß“π¢Õß§≥–°√√¡°“√ª√– “πß“π “∏“√≥ ÿ¢√–¥—∫Õ”‡¿Õ ®—ßÀ«—¥¢Õπ·°àπ Õ¬Ÿà„π
√–¥—∫¡“° §à“‡©≈’ˬ 3.56 (S.D.=0.64) ·µ°µà“ß
®“°°“√»÷°…“¢Õß ¡–≥Ÿ (2548) æ∫«à“ ·√ß®Ÿß„®
‚ ¥ ¬ √ « ¡ ¢ Õ ß ‡ ®â “ À πâ “ ∑’Ë „ π ° “ √ æ— ≤ π “ ¡ “ µ √ ∞ “ π
»Ÿπ¬å ÿ¢¿“æ™ÿ¡™π „π®—ßÀ«—¥ÀπÕß§“¬Õ¬Ÿà„π√–¥—∫
ª“π°≈“ß
1) ªí®®—¬®Ÿß„®
‚¥¬¿“æ√«¡Õ¬Ÿà„π√–¥—∫¡“° §à“‡©≈’ˬ 3.90 (S.D.= 0.39)‡¡◊ËÕæ‘®“√≥“√“¬¥â“πÕ¬Ÿà„π√–¥—∫¡“°
∑ÿ°¥â“π·≈–¥â“π∑’Ë¡’§à“‡©≈’ˬ Ÿß∑’Ë ÿ¥§◊Õ ¥â“π§«“¡√—∫
º‘¥™Õ∫ §à“‡©≈’ˬ 4.03 (S.D. = 0.44) ·≈–¥â“π
∑’Ë ¡’ §à “ ‡ © ≈’Ë ¬ πâ Õ ¬ ∑’Ë ÿ ¥ §◊ Õ ¥â “ π § « “ ¡ °â “ « À πâ “ „ π µ”·Àπàß §à“‡©≈’ˬ 3.71 (S.D.= 0.66) Õ¥§≈âÕß
°—∫°“√»÷°…“¢Õßæ‘™‘µ (2549) æ∫«à“·√ß®Ÿß„®
„π°“√ªØ‘∫—µ‘ß“π¢ÕßÀ—«Àπâ“»Ÿπ¬å ÿ¢¿“æ™ÿ¡™π
„π®—ßÀ«—¥¢Õπ·°àπ√–¥—∫¡“° ‡¡◊ËÕæ‘®“√≥“√“¬¢âÕ
¢Õßªí®®—¬®Ÿß„®æ∫«à“ ∑ÿ°¢âÕ®–Õ¬Ÿà„π√–¥—∫¡“°
·≈–¢âÕ∑’Ë¡’§à“‡©≈’ˬπâÕ¬∑’Ë ÿ¥§◊Õ ªí®®—¬®Ÿß„®¥â“π
§«“¡°â“«Àπâ“„πµ”·Àπàß „πÀ—«¢âÕ°“√¡’§«“¡
°â“«Àπâ“„πµ”·ÀπàßÀπâ“∑’Ë√“™°“√‡À¡“– ¡°—∫√–¬–
‡«≈“∑’˪ؑ∫—µ‘ß“π §à“‡©≈’ˬ 3.46 (S.D.= 0.99)
·≈–ß“π∑’Ë√—∫º‘¥™Õ∫„πªí®®ÿ∫—𠇪ìπß“π∑’Ë à߇ √‘¡
§«“¡°â“«Àπâ“„πµ”·ÀπàßÀπâ“∑’Ë√“™°“√¢Õß∑à“π
§à“‡©≈’ˬ 3.52 (S.D.= 0.09)µ“¡≈”¥—∫ ·≈–
ªí≠À“Õÿª √√§„π°“√ªØ‘∫—µ‘ß“πµ“¡∫∑∫“∑Àπâ“∑’Ë π—°«‘™“°“√ “∏“√≥ ÿ¢√–¥—∫µ”∫≈ °≈ÿࡵ—«Õ¬à“߇ÀÁπ«à“
‚Õ°“ °â“«Àπâ“„πÀπâ“∑’˰“√ß“π¡’πâÕ¬ ∫∑∫“∑Àπâ“∑’Ë
‰¡à™—¥‡®π ß“π∑’Ë√—∫º‘¥™Õ∫¡’¡“° ·µà‰¡àµ√ß°—∫
“¬ß“π ·≈–°≈ÿࡵ—«Õ¬à“ß· ¥ß§«“¡§‘¥‡ÀÁπ„π
·∫∫ Õ∫∂“¡ª≈“¬‡ªî¥«à“ ç§«“¡°â“«Àπâ“„π µ” · À πà ß „ π “ ¬ ß “ π ‰ ¥â √— ∫ ° “ √ æ— ≤ π “ À √◊ Õ ‡ ≈◊Ë Õ π
√–¥—∫™â“·≈–¡’‡ß◊ËÕπ‰¢À≈“¬Õ¬à“ß ¡’¢—ÈπµÕπ¬ÿà߬“°
„π°“√ª√–‡¡‘π Ÿà√–¥—∫∑’Ë Ÿß¢÷Èπé Õ¥§≈âÕß°—∫º≈°“√
—¡¿“…≥å·∫∫‡®“–≈÷°æ∫«à“ ≈—°…≥–ß“π∑’Ë√—∫
º‘¥™Õ∫®“°°“√¡Õ∫À¡“¬ß“π‰¡à Õ¥§≈âÕß°—∫
§«“¡√Ÿâ¢Õßπ—°«‘™“°“√ µ≈Õ¥®π‰¡à‡Õ◊ÈÕµàÕ°“√æ—≤π“
§«“¡√Ÿâ§«“¡ “¡“√∂·≈–∑”„Àâ§«“¡°â“«Àπâ“„π Àπâ“∑’˰“√ß“π™â“ ‡¡◊ËÕ‡ª√’¬∫‡∑’¬∫°—∫µ”·ÀπàßÕ◊Ëπ
„π∑’Ë∑”ß“π‡¥’¬«°—π ´÷Ëß°≈ÿࡵ—«Õ¬à“߇ÀÁπ«à“ ·√ß®Ÿß„®
„ π ° “ √ ª Ø‘ ∫— µ‘ ß “ π ∑’Ë ® – ∑” „ Àâ ° “ √ ª Ø‘ ∫— µ‘ ß “ π µ “ ¡
∫∑∫“∑Àπâ“∑’Ë¢Õß π—°«‘™“°“√ “∏“√≥ ÿ¢√–¥—∫
µ”∫≈ ¡’ª√– ‘∑∏‘¿“æπ—Èπ §«√®–„Àâ¡’‚Õ°“
°â“«Àπâ“„πÀπâ“∑’˰“√ß“π ‡™àπ‡¡◊ËÕ¡’º≈ß“π §«√π”
¡“ª√–°Õ∫°“√æ‘®“√≥“‡≈◊ËÕπ¢—Èπ·≈–°≈ÿࡵ—«Õ¬à“ß
°≈à“««à“ ìÀπ૬ߓπ∑’ˇ°’ˬ«¢âÕß§«√„Àâ§«“¡ ”§—≠°—∫
§«“¡°â“«Àπâ“„πµ”·Àπàß µ≈Õ¥®πæ‘®“√≥“‡ß‘π ª√–®”µ”·Àπà߇æ◊ËÕ„À⇪ìπ·√ß®Ÿß„®„π°“√ªØ‘∫—µ‘
Àπâ“∑’Ë„À⥒¢÷Èπ
2) ªí®®—¬§È”®ÿπ
ªí®®—¬§È”®ÿπÕ¬Ÿà„π√–¥—∫¡“° §à“‡©≈’ˬ
3.55 (S.D.= 0.44) ‡¡◊ËÕæ‘®“√≥“√“¬¥â“πæ∫«à“
à«π¡“°Õ¬Ÿà„π√–¥—∫¡“° ·≈–¥â“π∑’Ë¡’§à“‡©≈’ˬ Ÿß
∑’Ë ÿ¥§◊Õ ¥â“π™’«‘µ§«“¡‡ªìπÕ¬Ÿà à«πµ—« §à“‡©≈’ˬ 3.94 (S.D.= 0.44) √Õß≈ß¡“§◊Õ ¥â“ππ‚¬∫“¬·≈–
°“√∫√‘À“√ §à“‡©≈’ˬ 3.81 (S.D.= 0.59) µ“¡≈”¥—∫
à«π¥â“π∑’Ë¡’§à“‡©≈’ˬπâÕ¬∑’Ë ÿ¥·≈–Õ¬Ÿà„π√–¥—∫ª“π
°≈“ß§◊Õ ¥â“π ¿“æ°“√ªØ‘∫—µ‘ß“π §à“‡©≈’ˬ 3.08 (S.D.= 0.79) ¥â“π‡ß‘π‡¥◊Õπ/§à“µÕ∫·∑π §à“‡©≈’ˬ
3.17 (S.D.= 0.78) ·≈–¥â“π°“√ª°§√Õß∫—ß§—∫
∫—≠™“ §à“‡©≈’ˬ 3.44 (S.D.= 0.73) µ“¡≈”¥—∫
Õ¥§≈âÕß°—∫°“√»÷°…“¢Õßæ‘™‘µ (2549) ªí®®—¬
§È”®ÿπ„π°“√ªØ‘∫—µ‘ß“π¢ÕßÀ—«Àπâ“»Ÿπ¬å ÿ¢¿“æ™ÿ¡™π
„π®—ßÀ«—¥¢Õπ·°àπÕ¬Ÿà„π√–¥—∫¡“° „π√“¬¥â“ππ—Èπ
¥â “ π ™’ «‘ µ § « “ ¡ ‡ ªì π Õ ¬Ÿà à « π µ— « ¡’ §à “ ‡ © ≈’Ë ¬ § – · π π
·√ß®Ÿß„®¡“°
‡¡◊ËÕæ‘®“√≥“√“¬¢âÕ æ∫«à“ à«π„À≠àÕ¬Ÿà„π
√–¥—∫¡“° à«π¢âÕ∑’ËÕ¬Ÿà„π√–¥—∫¡“°·≈–¡’§à“‡©≈’ˬ Ÿß
∑’Ë ÿ¥§◊Õ §√Õ∫§√—« π—∫ πÿπ„Àâ∑”ß“π‡µÁ¡∑’Ë
§à“‡©≈’ˬ 4.10 (S.D.=0.71)√Õß≈ß¡“§◊Õ °“√ªØ‘∫—µ‘
ß “ π „ π À πà « ¬ ß “ π ∑” „ Àâ ‡ ªì π ∑’Ë ¬ Õ ¡ √— ∫ π— ∫ ∂◊ Õ ¢ Õ ß ª√–™“™π„πæ◊Èπ∑’Ë §à“‡©≈’ˬ 4.05 (S.D.= 0.72) µ“¡≈”¥—∫ à«π¢âÕ∑’Ë¡’§à“‡©≈’ˬπâÕ¬∑’Ë ÿ¥¢Õß
·√ß®Ÿß„®∑’ËÕ¬Ÿà„π√–¥—∫πâÕ¬§◊Õ «‘™“™’æ„πµ”·Àπàß π—°«‘™“°“√ “∏“√≥ ÿ¢ “¡“√∂ √â“ß√“¬‰¥â‡æ‘Ë¡‡µ‘¡
‰¥â §à“‡©≈’ˬ 2.68 (S.D.=1.15)
2. √–¥—∫°“√ π—∫ πÿπ®“°Õß§å°“√¢Õß π—°«‘™“°“√ “∏“√≥ ÿ¢√–¥—∫µ”∫≈
‚¥¬¿“æ√«¡ Õ¬Ÿà„π√–¥—∫ª“π°≈“ß§à“‡©≈’ˬ
3.44 (S.D.=0.48) Õ¥§≈âÕß°—∫°“√»÷°…“¢Õß ª√–®—°√ ·≈–™—¬¬ß (2547) æ∫«à“ °“√ π—∫ πÿπ
® “ ° Õ ß §å ° √ „ π ° “ √ æ— ≤ π “ §ÿ ≥ ¿ “ æ ¡ “ µ √ ∞ “ π „ π Àπ૬∫√‘°“√ª∞¡¿Ÿ¡‘ ®—ßÀ«—¥¢Õπ·°àπ Õ¬Ÿà„π√–¥—∫
ª“π°≈“ß ·µà·µ°µà“ß®“°°“√»÷°…“¢Õß°√·°â«
(2548) æ∫«à“ °“√ π—∫ πÿπ®“°Õß§å°“√„π°“√®—¥
√–∫∫ “√ π‡∑»¥â“π à߇ √‘¡ ÿ¢¿“æ¢Õ߇®â“Àπâ“∑’Ë ºŸâ√—∫º‘¥™Õ∫°“√®—¥°“√√–∫∫ “√ π‡∑»¥â“π àß
‡ √‘¡ ÿ¢¿“æ„π‚√ßæ¬“∫“≈™ÿ¡™π„πæ◊Èπ∑’Ë√—∫º‘¥™Õ∫
¢Õß»Ÿπ¬åÕπ“¡—¬∑’Ë 6 Õ¬Ÿà„π√–¥—∫µË” ‡¡◊ËÕæ‘®“√≥“
√“¬¥â“πæ∫«à“ Õ¬Ÿà„π√–¥—∫ª“π°≈“ß∑ÿ°¥â“π ·≈–
¥â“π∑’Ë¡’§à“‡©≈’ˬ Ÿß∑’Ë ÿ¥ §◊Õ¥â“π«— ¥ÿÕÿª°√≥å §à“‡©≈’ˬ
3.49 (S.D.= 7.8)
3. √–¥—∫°“√ªØ‘∫—µ‘ß“πµ“¡∫∑∫“∑Àπâ“∑’Ë
¢Õßπ—°«‘™“°“√ “∏“√≥ ÿ¢√–¥—∫µ”∫≈ „π®—ßÀ«—¥
ÀπÕß§“¬
‚¥¬¿“æ√«¡ Õ¬Ÿà„π√–¥—∫¡“° §à“‡©≈’ˬ 3.60 (SD = 0.51) Õ¥§≈âÕß°—∫°“√»÷°…“¢Õß Õ‘π∑‘√“
(2548)æ∫«à“°“√ªØ‘∫—µ‘ß“π¥â“π∫√‘°“√‚¥¬√«¡
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∫√‘À“√ “∏“√≥ ÿ¢„π»Ÿπ¬å ÿ¢¿“æ™ÿ¡™π®—ßÀ«—¥
π§√√“™ ’¡“ Õ¬Ÿà„π√–¥—∫ª“π°≈“ß ·≈–®“°°“√
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∫∑∫“∑Àπâ“∑’Ë ∑”„Àâß“πµ“¡∫∑∫“∑Àπâ“∑’ˉ¡à “¡“√∂∑”‰¥âÕ¬à“߇µÁ¡∑’Ë·≈–§√∫∑ÿ°¥â“π
‡¡◊ËÕæ‘®“√≥“√“¬¥â“πæ∫«à“ à«π„À≠à Õ ¬Ÿà „ π √ – ¥— ∫ ¡ “ ° · ≈ – ¥â “ π ∑’Ë ¡’ §à “ ‡ © ≈’Ë ¬ Ÿ ß ∑’Ë ÿ ¥ §◊ Õ
°“√«“ß·ºπ·≈–°“√ª√–¡«≈º≈ªí≠À“ “∏“√≥ ÿ¢
§à“‡©≈’ˬ 4.13 (S.D.= 0.62) √Õß≈ß¡“§◊Õ ¥â“π°“√
«‘‡§√“–Àå√–∫∫ß“π “∏“√≥ ÿ¢ §à“‡©≈’ˬ 3.76 (S.D.= 0.62) µ“¡≈”¥—∫ à«π¥â“π∑’ËÕ¬Ÿà„π√–¥—∫
ª“π°≈“ß·≈–¡’§à“‡©≈’ˬπâÕ¬∑’Ë ÿ¥§◊Õ ¥â“π°“√
„Àâ§”ª√÷°…“·π–π”¥â“π«‘™“°“√ §à“‡©≈’ˬ 3.25 (S.D.= 0.82)
4. §ÿ≥≈—°…≥– à«π∫ÿ§§≈ ·√ß®Ÿß„®·≈–
°“√ π—∫ πÿπ®“°Õß§å°“√∑’Ë¡’§«“¡ —¡æ—π∏å°—∫°“√
ªØ‘∫—µ‘ß“π¢Õßπ—°«‘™“°“√ “∏“√≥ ÿ¢√–¥—∫µ”∫≈
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2) ·√ß®Ÿß„®
º≈°“√»÷°…“ æ∫«à“ ªí®®—¬®Ÿß„®·≈–ªí®®—¬
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®“°°“√»÷°…“¢Õß °√·°â« (2548) æ∫«à“ ·√ß®Ÿß„®
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∑’Ë 6 °“√»÷°…“¢Õß ≥‘™“ (2547) æ∫«à“ ·√ß®Ÿß„®
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Àπâ“∑’Ë¢Õ߇®â“æπ—°ß“π∑—πµ “∏“√≥ ÿ¢√–¥—∫µ”∫≈
„π‡¢µ 6 ·≈–®“°°“√»÷°…“¢Õß —ß§¡ (2546) æ∫«à“·√ß®Ÿß„® ªí®®—¬®Ÿß„® ·≈–ªí®®—¬§È”®ÿπ ¡’§«“¡
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‡æ‘Ë¡¢÷Èπé
3) °“√ π—∫ πÿπ®“°Õß§å°“√
º≈°“√»÷°…“æ∫«à“ °“√ π—∫ πÿπ®“°
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π—∫ πÿπ®“°Õß§å°“√¥â“πß∫ª√–¡“≥ ¥â“π∫ÿ§≈“°√
·≈–¥â“π°“√∫√‘À“√¡’§«“¡ —¡æ—π∏å√–¥—∫ª“π°≈“ß
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—¡æ—π∏å√–¥—∫ª“π°≈“ß
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√–¥—∫µ”∫≈ „π®—ßÀ«—¥ÀπÕß§“¬
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º‘¥™Õ∫ ·≈–ªí®®—¬®Ÿß„®¥â“π°“√¬Õ¡√—∫π—∫∂◊Õ
‚¥¬¡’π—¬ ”§—≠∑“ß ∂‘µ‘∑’Ë√–¥—∫ 0.05
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欓°√≥åµ—«·ª√µ“¡¡“°°«à“‡¢â“ ¡°“√ ·≈–®“°
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∑¥ Õ∫ t æ∫«à“§à“ p-value ¢Õßµ—«·ª√Õ‘ √–
„π ¡°“√¡’§à“πâÕ¬°«à“ 0.05 µ—«·ª√∑’Ë¡’πÈ”Àπ—°
„π°“√欓°√≥åµ—«·ª√µ“¡‰¥â¡“°®–¡’§à“ p-value πâÕ¬∑’Ë ÿ¥ ‚¥¬æ∫«à“ §à“ p-value ¢Õß°“√ π—∫ πÿπ
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¢âÕ‡ πÕ·π–
1. ¢âÕ‡ πÕ·π–‡™‘ßπ‚¬∫“¬
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2) §«√¡’°“√ π—∫ πÿπ„Àâπ—°«‘™“°“√
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3) §«√ π—∫ πÿπ„Àâß“πµ“¡∫∑∫“∑
Àπâ“∑’Ë ∑’Ëπ—°«‘™“°“√ “∏“√≥ ÿ¢√–¥—∫µ”∫≈√—∫º‘¥™Õ∫
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«‘∑¬“π‘æπ∏å ª√–®”¿“§ª≈“¬ ªï°“√»÷°…“ 2549