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Õ¬§√—È ß ∑’Ë æ ∫§”∂“¡„πß“π«‘ ®— ¬ ‡™‘ ß ”√«®«à“ 燰Á∫¢âÕ¡Ÿ≈¡“·≈â« ·µà‡ªìπ ≈—°…≥–∑’˵Õ∫‰¥â¡“°°«à“Àπ÷Ëߧ”µÕ∫ ®–≈ß ¢âÕ¡Ÿ≈Õ¬à“߉√¥’é §”∂“¡: ∑à“𧑥«à“Õ“°“√ª«¥‡°‘¥®“° “‡Àµÿ„¥∫â“ß (µÕ∫‰¥â¡“°°«à“Àπ÷Ëߧ”µÕ∫) ✓ 1. °“√„™â§Õ¡æ‘«‡µÕ√å ✓ 2. π—Ëß∑”°“√∫â“π ✓ 3. ‡≈àπ°’Ó 4. ∂◊Õ°√–‡ªÜ“π—°‡√’¬π 5. π—Ë߇√’¬πÀπ—ß ◊Õ/‡√’¬π摇»…

6. π—Ëß/πÕπ¥Ÿ‚∑√∑—»πå 7. °‘®°√√¡Õ◊ËπÊ ≈—°…≥–¢âÕ¡Ÿ≈¥—ß°≈à“« ‡√’¬°«à“¢âÕ¡Ÿ≈∑’Ë µÕ∫‰¥â¡“°°«à“Àπ÷ßË §”µÕ∫ (Multiple response data) «‘∏’°“√∫—π∑÷°·≈–°“√«‘‡§√“–Àå¢âÕ¡Ÿ≈®– µà“ß®“°≈—°…≥–§”∂“¡∑’˵Õ∫‰¥â‡æ’¬ß§”µÕ∫ ‡¥’¬« À“°ºŸâ«‘®—¬≈–‡≈¬°ÁÕ“®æ∫ªí≠À“µ—Èß·µà°“√ ∫—π∑÷°¢âÕ¡Ÿ≈𔉪 Ÿ°à “√«‘‡§√“–Àå¢Õâ ¡Ÿ≈∑’ºË ¥‘ æ≈“¥ À√◊Õ∫“ߧ√—Èß∫—π∑÷°¢âÕ¡Ÿ≈∂Ÿ°µâÕß·µàÀ“°‰¡à§”π÷ß ∂÷ß≈—°…≥–¥—ß°≈à“«°ÁÕ“®«‘‡§√“–Àå¢âÕ¡Ÿ≈º‘¥‰¥â ∫∑§«“¡π’È ® –𔇠πÕ«‘ ∏’ ° “√∫— π ∑÷ ° ¢â Õ ¡Ÿ ≈ ·≈– «‘‡§√“–Àå¢âÕ¡Ÿ≈∑’Ë¡’≈—°…≥–‡ªìπ multiple response ‚¥¬„™â‚ª√·°√¡ SPSS ®“°µ—«Õ¬à“ß ¢â“ßµâπ ¥—ßπ’È

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1. °“√∫—π∑÷°¢âÕ¡Ÿ≈ 1.1 °“√ √â“ßµ—«·ª√: ºŸâ«‘®—¬µâÕß √â“ß Àπ÷Ë ß µ— « ‡≈◊ Õ °„Àâ ‡ ªì π Àπ÷Ë ß µ— « ·ª√ ·≈–∫— π ∑÷ ° ¢âÕ¡Ÿ≈‡ªìπ ç1é ‡¡◊ËÕ‡≈◊Õ°µ—«‡≈◊Õ°π—ÈπÊ ∫—π∑÷° ¢âÕ¡Ÿ≈‡ªìπ ç0é ‡¡◊ËÕ‰¡à‡≈◊Õ°µ—«‡≈◊Õ°π—ÈπÊ ®“° µ—«Õ¬à“ß®–‰¥â∑—ÈßÀ¡¥ 7 µ—«·ª√ ¥—ßπ’È °“√„™â§Õ¡æ‘«‡µÕ√å (cause1: 1=‡≈◊Õ°, 0=‰¡à‡≈◊Õ°) π—ßË ∑”°“√∫â“π (cause2: 1=‡≈◊Õ°, 0=‰¡à‡≈◊Õ°) ‡≈àπ°’Ó (cause3: 1=‡≈◊Õ°, 0=‰¡à‡≈◊Õ°) ∂◊Õ°√–‡ªÜ“π—°‡√’¬π (cause4: 1=‡≈◊Õ°, 0=‰¡à‡≈◊Õ°) π—ßË ‡√’¬πÀπ—ß ◊Õ (cause5: 1=‡≈◊Õ°, 0=‰¡à‡≈◊Õ°) π—Ëß/πÕπ¥Ÿ‚∑√∑—»πå (cause6: 1=‡≈◊Õ°, 0=‰¡à‡≈◊Õ°) °‘®°√√¡Õ◊ËπÊ (cause7: 1=‡≈◊Õ°, 0=‰¡à‡≈◊Õ°)

* Õ“®“√¬åª√–®”§≥– “∏“√≥ ÿ¢»“ µ√å ¡.π‡√»«√ π—°»÷°…“ª√‘≠≠“‡Õ° “¢“«‘™“√–∫“¥«‘∑¬“§≈‘π°‘ §≥–·æ∑¬»“ µ√å ¡.‡™’¬ß„À¡à THAILAND JOURNAL OF HEALTH PROMOTION AND ENVIRONMENTAL HEALTH

January - March 2012

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‡°√Á¥§«“¡√Ÿâ...∑“ß ∂‘µ‘ 1.2 °“√ √â“ß™ÿ¥µ—«·ª√: ‡æ◊ËÕ√«¡§” µÕ∫¢Õߧ”∂“¡‡¥’ ¬ «°— π „Àâ Õ ¬Ÿà „ π™ÿ ¥ µ— « ·ª√ ‡¥’¬«°—π ‚¥¬„™â§” —Ëß Analyze > Multiple Response > Define Variable SetsÇ 1

2

3

4

∑—ÈßÀ¡¥‡¢â“‰ª„π™àÕß Variables in Set 5. °”Àπ¥§à“ Dichotomies Counted ‡ªìπ ç1é 6. µ—Èß™◊ËÕ™ÿ¥µ—«·ª√ („π∑’Ëπ’ȵ—È߇ªìπ cause) ·≈–„ à §”Õ∏‘ ∫ “¬ („π∑’Ë π’È §◊ Õ “‡Àµÿ ¢ Õß Õ“°“√ª«¥) 7. ‡≈◊Õ° Add 8. ™ÿ¥µ—«·ª√ („π∑’Ëπ’ȧ◊Õ $cause) ¬â“‡¢â“‰ª„π™àÕß Multiple Response Sets 9. ‡≈◊Õ° Close ‡æ◊ËÕªî¥Àπ⓵à“ßπ’È

2. °“√«‘‡§√“–Àå¢âÕ¡Ÿ≈ 7

5

°“√«‘ ‡ §√“–Àå ¢â Õ ¡Ÿ ≈ „π∫∑§«“¡π’È ® – Õ∏‘∫“¬‡©æ“–°“√æ√√≥π“¢âÕ¡Ÿ≈ ‰¥â·°à °“√À“ §à“§«“¡∂’Ë·≈–√âÕ¬≈–‚¥¬„™â™ÿ¥µ—«·ª√∑’Ë √â“ߢ÷È𠧔 —Ëߧ◊Õ Analyze > Multiple Response > FrequenciesÇ

6

1

8 2 3

4

9 §”Õ∏‘∫“1. ‡≈◊Õ° Analyze 2. ‡≈◊Õ° Multiple Response 3. ‡≈◊Õ° Define Variable SetsÇ 4. ‡≈◊Õ°µ—«·ª√∑’Ë®–π”¡“ √â“ß™ÿ¥µ—«·ª√

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5 6

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§”Õ∏‘∫“1. ‡≈◊Õ° Analyze 2. ‡≈◊Õ° Multiple Response 3. ‡≈◊Õ° FrequenciesÇ 4. ‡≈◊Õ°™ÿ¥µ—«·ª√ („π∑’Ëπ’ȧ◊Õ $cause) ‡¢â“‰ª„π™àÕß Table(s) for: 5. ‡≈◊Õ° Exclude cases listwise within dichotomies 6. ‡≈◊Õ° OK ®–‰¥âº≈≈—æ∏å °“√«‘‡§√“–Àå¢âÕ¡Ÿ≈∑’ˇªìπ multiple response ®”π«π√«¡∑—ÈßÀ¡¥∑’Ëπ”¡“§‘¥√âÕ¬≈–§◊Õ ®”π«π°“√µÕ∫ ´÷Ëß®–‰¡à‡∑à“°—∫®”π«πµ—«Õ¬à“ß ‡æ√“–µ—«Õ¬à“ßÀπ÷Ëß√“¬ “¡“√∂µÕ∫‰¥â¡“°°«à“ Àπ÷Ëߧ”µÕ∫ ¥—ßπ—Èπ°“√§‘¥√âÕ¬≈–®“°®”π«π°“√

µÕ∫®÷ß¡’§«“¡‡À¡“– ¡°—∫¢âÕ¡Ÿ≈≈—°…≥–π’È ®“°°“√ Õ∫∂“¡∂÷ß “‡Àµÿ¢ÕßÕ“°“√ª«¥ ¡’®”π«π°“√µÕ∫√«¡∑—ßÈ À¡¥ 1,994 §”µÕ∫ ‚¥µ—«Õ¬à“ßµÕ∫«à“Õ“°“√ª«¥¡’ “‡Àµÿ®“°°“√„™â §Õ¡æ‘«‡µÕ√å¡“°∑’Ë ÿ¥√âÕ¬≈– 19.3 √Õß≈ß¡“§◊Õ ‡≈àπ°’Ó √âÕ¬≈– 18.6 ·≈–π—Ëß∑”°“√∫â“π √âÕ¬≈– 17.2 µ“¡≈”¥—∫

√ÿª °“√®—¥°“√¢âÕ¡Ÿ≈∑’˵Õ∫‰¥â¡“°°«à“Àπ÷Ëß §”µÕ∫¡’≈—°…≥–‡©æ“– ºŸâ«‘®—¬§«√§”π÷ß∂÷ß«‘∏’ °“√∫— π ∑÷ ° ¢â Õ ¡Ÿ ≈ ·≈–°“√«‘ ‡ §√“–Àå ¢â Õ ¡Ÿ ≈ ´÷Ë ß ¡’ §«“¡·µ°µà “ ß°— ∫ ≈— ° …≥–§”∂“¡‚¥¬∑—Ë « ‰ª∑’Ë µÕ∫‰¥â‡æ’¬ßÀπ÷Ëߧ”µÕ∫ ‡æ◊ËÕ§«“¡∂Ÿ°µâÕߢÕß °“√𔇠πÕº≈°“√»÷°…“

Scause Frequencies Responses “‡Àµÿ¢ÕßÕ“°“√ ª«¥a

“‡Àµ-„™â§Õ¡æ‘«‡µÕ√å “‡Àµÿ-π—Ëß∑”°“√∫â“𠓇Àµÿ-‡≈àπ°’Ó “‡Àµÿ-∂◊Õ°√–‡ªÜ“π—°‡√’¬π “‡Àµÿ-π—Ë߇√’¬πÀπ—ß ◊Õ/‡√’¬π摇»… “‡Àµÿ-¥Ÿ‚∑√∑—»πå “‡Àµÿ-∑”°‘®°√√¡Õ◊ËπÊ

Total

N 385 342 371 221 230 132 313

Percent 19.3% 17.2% 18.6% 11.1% 11.5% 6.6% 15.7%

1994

100.0%

Percent of Cases 38.1% 33.9% 36.7% 21.9% 22.8% 13.1% 31.0% 197.4%

a. Dichotomy group tabulated at value 1.

THAILAND JOURNAL OF HEALTH PROMOTION AND ENVIRONMENTAL HEALTH

January - March 2012

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‡°√Á¥§«“¡√Ÿâ...∑“ß ∂‘µ‘ ‡Õ° “√Õâ“ßÕ‘ß 1. Lavassani K.M., Movahedi B., and Kumar V. Developments in analysis of multiple response survey data in categorical data analysis: The case of enterprise system implementation in large north American firms. Journal of applied quantitative methods. 2009; 4(1): 45-53.

2. Reynaldo J., and Santos A., Getting the Most Out of Multiple Response Questions. Journal of extension. 2000; 38(3).

3. Student Learning Centre, The University of Auckland. Multiple response data. Retrieved 12 December 2011. from http://www.cad.auckland.ac.nz/content/files/slc/ computer_spss_multiple_response.pdf HEALTH

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