• 沒有找到結果。

NHU Citation System.

N/A
N/A
Protected

Academic year: 2022

Share "NHU Citation System."

Copied!
30
0
0

加載中.... (立即查看全文)

全文

(1)

ሄ Ᏺ ᇄ ᒚ ୦ Ᏸ ൢ!

ҕ 21: ԑȂ53 ڢ 3 ෈Ȃ12.41!

- 1 -

⶜〃朆冔ㆶ㋚〵Ὶ捞姷䠋ⷤ

ᎄ໥ᐶ!ࢫ✎ണ!ֆߪຽ!׹ࠔذ!݅એ╻

ဢ!!ࡌ!

ҁ ࣴ ز Ҟ ޑ ӧ ܭ ว ৖ Ȩ ჹ ԃ ߏ ޣ ܄ ᄊ ࡋ ໆ ߄ ȩ (The Scale for Attitude toward Sexuality of Elderly, SASE)ǶႣ၂Ӆวܫ 222 ҽୢڔǴմନෳᖲᚒ҂ၸϐኬҁǴӅ 198 ՏԖਏኬҁ຾Չ໨Ҟϩ݋ǵߞࡋϩ݋ǵ௖઩܄Ӣનϩ݋ᆶᡍ᛾܄Ӣનϩ݋Ǵ҅Ԅࡼෳ

Ӆวܫ 370 ҽરҁᆶᆛၡୢڔǴմନෳᖲᚒ҂ၸǵς༤ၸႣ၂ୢڔаϷԃសόዴۓޣǴ ഭᎩ 321 ՏԖਏኬҁ຾Չᡍ᛾܄Ӣનϩ݋аϷ࣬ᜢङඳᡂ໨ϐ௖૸Ƕϩ݋่݀ᡉҢΟ Ӣન่ᄬϐෳໆኳԄ፾ଛࡋؼӳǴໆ߄х֖Οঁय़ӛǺȨЎϯȩǵȨڋࡋȩᆶȨঁΓȩǴ Ӆ 26 ᚒԾഋԄᚒҞǶϩ݋่݀ᡉҢϣ೽΋ठ܄ߞࡋǵࡌᄬਏࡋ฻࣬ᜢࡰ኱ࣣؼӳǶԜ ѦǴਥᏵ୔ձਏࡋϩ݋่݀ᡉҢǴȨჹԃߏޣ܄ᄊࡋȩᔈ೏ຎࣁᆶȨჹԃߏޣදၹᄊࡋȩǵ Ȩදၹ܄ᄊࡋȩόӕϐᐱҥᄬۺǶҁࣴز่݀ᡉҢǴȨჹԃߏޣ܄ᄊࡋໆ߄ȩࣁڀԖؼ ӳߞǵਏࡋޑΟय़ӛෳໆπڀǴёҔٰຑໆ΋૓ε౲ჹܭԃߏޣ܄ޑᄊࡋǴΨёբࣁ շΓπբޣ܈ྣៈޣԾךᔠਡޑπڀǶ!

ᜢᗖຒǺԃߏޣǵԃសݔຎǵ܄ᄊࡋǵໆ߄ጓᇙǵ่ᄬБำኳԄ!

ᎄ໥ᐶ!୯ҥᄆϯৣጄεᏢᇶᏤᆶᒌ୘Ꮲس!

ࢫ✎ണ!୯ҥᄆϯৣጄεᏢᇶᏤᆶᒌ୘Ꮲس!!

ֆߪຽ!୯ҥᄆϯৣጄεᏢᇶᏤᆶᒌ୘ᏢسȐ ೯ ૻ բ ޣ Ǻ usptjhi1614Aipunbjm/dpnȑ !

׹ࠔذ!୯ҥᄆϯৣጄεᏢᇶᏤᆶᒌ୘Ꮲس!

݅એ╻!୯ҥᄆϯৣጄεᏢᇶᏤᆶᒌ୘Ꮲس

(2)

ᅃጱᄃᏙથጯಡ

- 2 -

൦ȃᆱ፣

Ιȃंـଢ଼ᐠᇄҬޟ

ҋ 2018 ѐ 3 ͡ฟؕĂᄂ៉ 65 ໐ͽ

˯ˠ˾Κᓁˠ˾۞ͧத̏෹࿅ 14%Ăܑ

ϯԧ઼ϒёᔙˢĶ੼᛬ۤົķĂҁѐˠ˾

̏྿ 330 ༱ˠĞ̰߆ొ௚ࢍ఍Ă2018ğĄ

֭ͷֶፂ 2018 ѐ 11 ͡Җ߆ੰ઼छ൴ण

؎ࣶົ̳ٙο̝௚ࢍྤफ़ĂଯҤд 2026 ѐॡĂᄂ៉૟ซˢĶ෹੼᛬ۤົķĂҁѐ ˠ˾ٙΚ۞ͧத૟ז྿ 20%Ğ઼छ൴ण

؎ࣶົĂ2018ğĄϤٺԧ઼۞੼᛬ˠ˾ј ܜԣిĂ߇ѐܜ۰ѣᙯ̝͕֗ዋᑕᛉᗟ ΞᏜ࠹༊ࢦࢋĂՀߏፋ࣎ۤົ̙Ξنෛ

۞ ˘ ᒖ Ą ѐ ᛬ ڡ ෛ (ageism)۞ ன ෪ ˘ ۡ ߏ઼̰γጯ۰ଣ੅ѐܜ۰͕நઉ૵۞ࢦ

ࢋᛉᗟĂܼЯѐ᛬ڡෛົᇆᜩˠࣇ၆ѐ ܜ۰۞ၗޘᄃ̢જଐڶĞOkoye, 2004ć ᔁᚊࡓĂ1996ğĄ҃ѐ᛬ڡෛܼ޽ۤົ̂

ி၆ٺѐܜ۰۞࢑ࢬגڕО෪ăઐ֍ᄃ

̙ ̳ π ۞ ၆ ޞ (Palmore, 2000)Ăּтᄮ ࠎҁˠߏ෍ऴ۞ăᅮࢋ໰ᜪ۞(Palmore, 2000)ăΞᇔ۞ă׽ે۞Ğڒ࡚ࠡĂ1993ğă ࣅҁ኱ҁăଐჰ̙ᘦĞᔁᚊࡓĂ1996ğĄ

׎̚ᄃѐܜ۰۞Ķّķѣᙯ̝࢑ࢬגڕ О ෪ ݋ ࠎ Ĉ ѐ ܜ ۰ ߏ ε Ν ّ ਕ ˧ ۞ (Palmore, 2000)ă ّ ߏ ̙ ࢦ ࢋ ۞ ă ̙ Г ѣᎸ኷۞ăΞنர۞Ğڒ࡚ࠡĂ1993ğă

̙׍ّӛ͔˧۞ăѐܜ۰ѣّϠ߿ߏ௧

ऺ۞Ğเؠ؏Ă1995ğĄҭเϜăเۘႴă Ղ્බăᛂ࢐༈׶ᔁߋ႕Ğ2012ğ۞ࡁ տඕڍពϯ 98.7%۞ѐܜ۰ܑϯҋ̎ᔘ ߏѣّᇒĂ҃ܧтТ˯ࢗ۞גڕО෪Ą

Ωγд Lindau ׶ Gavrilova (2010)

۞ࡁտ˵೩זѐܜ۰۞ઉ૵ېڶᄃّϠ

߿ᄃّҡܴ۞ѣ൑ăّϠ߿۞ᐛதăّ

Ϡ߿۞ݡኳඈតี̝ม׍ѣϒШᙯᓑĂ Яѩд੅ኢѐܜ۰۞͕֗ઉ૵˵υื੫ ၆ّ͞ࢬ۞ᛉᗟซҖଣտĂଘ઼̰ࡁտ дѩᛉᗟ۞ଣ੅ྵࠎ͌֍Ă઼̰҃ࡁտ Ч࣎ဥវĶ၆ѐܜ۰۞ّၗޘķ̝ീณ

̍׍˵ϏѣԆፋ۞ໄهߛၹĂͷ઼γ࠹

ᙯณܑдܫăड़ޘ۞ᑭ८˯Ϗѣྵࠎᚑ ᖰ ۞ រ ᙋ ͞ ё Ă ߇ ώ ࡁ տ ͽ Collins (1993)۞ ڡ ෛ ᄃ ᑅ ࢝ ˬ ล ᆸ ந ኢ ү ࠎ ໄ هߛၹĂ౅࿅ᚑᖰ۞በᄦ඀ԔĂ൴ण˘

Њ၆ѐܜ۰ّၗޘณܑĂ޺ᜈ·၁Ķ၆ ѐܜ۰۞ّၗޘķ఺࣎إޞ൴ण۞ࡁտ ᅳાĄͽഇĶѐܜ۰۞ّķਕు႙జۤ

ົ̂ிࢦෛĄд၁ચ͞ࢬĂώࡁտഇధ ณܑਕүࠎ૞ຽѐܜ۰໰᜕ˠࣶҋԧᑭ ८ٕିֈ੊ቚඈྻϡćдࡁտ͞ࢬĂഇ ਕԆචѐܜ۰͕֗໰᜕̝࠹ᙯࡁտĂซ

˘ՎࠎĶѐܜ۰۞ّķ࣍ᛉĄ

ͽ˭ಶѐ᛬ڡෛăڡෛᄃᑅ࢝ˬล ᆸநኢͽ઼̈́γ࠹ᙯณܑ̝ࡁտซҖଣ

੅Ą

ΠȃМᝦ௤ଆ ȞΚȟԒឮݣຝ

1.ѐ᛬ڡෛໄه۞൴ण

Butler (1969)ߏ ࢵ Ҝ ೩ ΍ ѐ ᛬ ڡ ෛ ѩໄه۞ጯ۰ĂࣧАܼ΃ܑ˘࣎ѐ᛬୉

ཏ၆ٺΩ˘࣎ѐ᛬୉ཏ۞גڕО෪ĂϤ ٺ̚ѐˠࡦ࢑඾၆ܦ͌ѐᄃѐܜ۰۞໰

ᜪయЇĂЯѩ̚ѐ୉ཏົ၆఺׌࣎୉ཏ ٱ޺඾גڕО෪ᄃઐ֍Ăͽᄂ៉ۤົࠎ

ּĂ૱᝘ז۞ߏĈѐᅅˠߏĶਨఅ୉ă ફҁ୉ķĂ҃ѐܜ۰ߏĶᅮࢋ໰ᜪ۞ķĄ ޢֽ Butler (1980)૟ѐ᛬ڡෛăّҾڡ

ෛ׌࣎ໄه׶჌୉͹ཌྷซҖͧྵĂ൴ன

(3)

၆ѐܜ۰ّၗޘ̝ณܑ൴ण

- 3 - ѐ᛬ڡෛ̂кܑனд၆ѐܜ۰۞ၗޘă Җࠎ׶߆ඉĄΩγĂPalmore (2000)ᄮࠎ ѐܜ۰ߏۤົ̚۞͌ᇴཏវĂΐ˯ѐҁ

۞࿅඀૱జෛࠎߏΑਕ۞ಉεĂགྷ૱૲

ѣ࢑ࢬӣཌྷĂညߏĶ෍ऴ۞ķăĶ̙ዋЪ

̍ү۞ķăĶᅮࢋ໰ᜪ۞ķඈ࢑ࢬ۞ԛटĄ ЯѩĂܕֽѐ᛬ڡෛྵ૱޽Ⴭࠎ၆Ķѐ ܜ۰۞ڡෛķĂ҃ώࡁտ˵඾ࢦٺଣ੅̂

ி၆ٺѐܜ۰۞ڡෛၗޘĄ

аᜪ઼̰ѣᙯ̙Тѐ᛬ᆸ၆ѐܜ۰

۞גڕО෪̝ࡁտĂ׎̚ӕͽၷĞ2006ğ ͽҋበ۞ĶҁˠגڕО෪ԛटෟᑭ८ܑķ ଣ੅ᄂݑгડ̝ܦĞ18 - 25 ໐ğă̚Ğ35 - 50 ໐ğăҁĞ65 ໐ͽ̈́ͽ˯ğˬ࣎ѐ

᛬ᆸ၆ٺѐܜ۰۞גڕО෪Ăࡁտ൴ன

̚ѐˠᄃܦѐˠ၆ٺѐܜ۰۞О෪ྵࠎ

࢑ࢬĂᄮࠎѐܜ۰ߏೌ៍۞Ă֭дˠᅫ ᙯܼ۞ܑன˯ྵࠎ࢑ࢬć҃ܦѐᄃ̚ѐ

׌࣎୉ཏ࠹ͧĂܦѐ၆ѐܜ۰۞࠻ڱ˫

Հࠎ࢑ࢬĄГ۰Ăเᐅ̋Ğ2009ğͽኳ

ّణኘ۞͞ёͧྵĶ͌Ğ20 ໐ͽ˭ğă ܦĞ20 - 40 ໐ğă̚Ğ40 - 65 ໐ğăҁĞ65 ໐ ͽ ˯ ğķ α ࣎ ѐ ᛬ ᆸ ၆ ٺ ѐ ܜ ۰ ۞ О ෪ĂࡁտϺ൴னܦ͌ѐ୉ཏ၆ٺ੼᛬۰

޺ѣྵк۞࢑ࢬО෪Ăညߏࣅҁ኱ҁă әᆞ࿅ΝăͧྵຑᆗΤăͧྵຑࢬ̄ă ២ͱ֎ыඈĂ̙҃Т۞ߏ̚ѐล߱၆ٺ ѐܜ۰۞О෪ྵࠎ޺πĄдౙࠃă੼Ѡ ᓄĞ2009ğޙၹᄂ៉ϔி၆ѐܜ۰۞ၗ

ޘณܑ̝ࡁտ̚൴னĂ̂ி၆ٺѐܜ۰

̝ၗޘࠎّ̚ઐϒШĂͷշّྵّ̃д Ķ͕நᄃᄮۢķᆸࢬ˯၆ѐܜ۰޺Հϒ Ш۞࠻ڱĄಶ၆ѐܜ۰ّ۞ၗޘ҃֏Ă

̂ొ̶ࡁտ൴னѐᅅ୉ཏ၆ѐܜ۰ّ۞

ၗޘ೼࿆ઐШϒШć൒҃Ă̰ᔳၗޘീ

ณ̝ࡁտ˫ពϯѐᅅ୉ཏ၆ٺѐܜ۰ّ

۞ ၗ ޘ ઐ ࢑ Ш (Gewirtz-Meydan et al., 2018)Ą

ტЪ˯ࢗĂ̂ி၆ٺѐܜ۰۞ၗޘ дЧࡁտ̚۞ඕڍ̙֭˘࡭Ăٕధ࿅Ν ࡁտ၆ѐܜ۰۞ၗޘໄه࿅ٺᇃھĂώ ࡁտᄮࠎĂ၆ѐܜ۰ၗޘΞਕӣ߁ధк ࢬШĂॲፂ̙ТࢬШΞਕயϠϒࢬၗޘ

ٕ࢑ࢬၗޘĂ҃ౄј࿅ـࡁտ̙˘࡭̝

ன෪ĂЯѩώࡁտᄮࠎ၆ѐܜ۰ၗޘ̝

পؠࢬШүՀஎˢ۞ଣ੅ѣ׎υࢋّĄ 2.ѐܜ۰ᄃّ

ѐܜ۰۞ઉ૵ېڶᄃّϠ߿ᄃّҡ

ܴ۞ѣ൑ăّϠ߿۞ᐛதăّϠ߿۞ݡ ኳ ඈ ត ี ̝ ม ׍ ѣ ϒ Ш ᙯ ᓑ (Lindau &

Gavrilova, 2010)Ą˵ಶߏᄲĂ̪ѣ˘ؠ ᐛத̈́рݡኳ۞ّϠ߿ّ̈́ҡܴ̝ѐܜ ۰Ăઉ૵ېڶྵࠎ։рĂϤѩΞۢ၆ٺ ѐܜ۰۞ّஎˢଣ੅۞ࢦࢋّĄҭдᄂ

៉ώ˿ࡁտ̚Ă࠹ᙯࡁտ̪ߏȈ̶৿ͻ

۞Ą

ੵѩ̝γĂҘ͞ࡁտ൴ன˘ਠˠ೼

࿆၆ٺѐܜ۰ّ۞ຐညߏѣઐ֍۞Ă౵

૱ ֍ ۞ ג ڕ О ෪ ࠎ ѐ ܜ ۰ ၆ ّ ৿ ͻ Ꮈ

኷Ă֭ͷ̙׍౯ّӛ͔˧(Lai & Hynie, 2011; Allen & Roberto, 2009)Ą൒҃Ăॲ ፂ BeckmanăWaernăGustafson ׶ Skoog (2008)੫၆̙Т͵΃۞༄׏ 70 ໐ѐܜ۰

̝ࡁտ޽΍ĂТᇹౌࠎ 70 ໐̝ѐ᛬Ă 2000 ѐ ۞ צ ྏ ۰ ࠹ ͧ 1976 ѐ ̝ צ ྏ ۰Ă׎ّགྷរ۞ኳᄃณౌѣٙᆧܜĄಶ ᄂ៉҃֏ĂเϜඈˠĞ2012ğଣ੅ލڌ гડѐܜ۰۞ّۢᙊᄃၗޘ˯൴னĂࡗ 63.6%۞ѐܜ۰̪൒ѣّϠ߿Ă҃ 98.7%

۞ѐܜ۰ܑϯҋ̎ᔘߏѣّᇒĄ

ϤѩΞۢĂĶѐܜ۰၆ّ৿ͻᎸ኷ķ

఺࣎ኢ֭ࢗܧ˘࣎඗၆۞Ϡநְ၁Ą၆

(4)

ᅃጱᄃᏙથጯಡ

- 4 - ѐܜ۰҃֏Ăّ۞ຍཌྷᄃࢦࢋّ̙֭ົ

Яࠎѐ᛬҃ѣ̙ٙТĄдّ۞ܑ྿˯Ă ѐܜ۰ٕధѣՀк̮۞णன͞ёĂ่̙

ΪߏّϹĂ˵ΞͽϤᇬၤă஝͘ăጾٱ ඈ͞ё႕֖(Masters & Johnson, 1966)Ą

҃၆ٺѐܜ۰৿ͻϒቁ۞ّۢᙊĂѣΞ ਕ ົ ᇆ ᜩ ၆ ѐ ܜ ۰ ۞ ّ ၗ ޘ (Mahieu et al., 2016)Ăԛјт݈ٙࢗ۞גڕО෪Ă

҃၆ѐܜ۰ّ۞גڕО෪ࠤҌΞਕᇆᜩ ᗁְˠࣶ۞෧ᕝ(Gewirtz-Meydan et al., 2018)Ąᄂ៉͌ᇴଣ੅ᗁ᜕࠹ᙯࡊրᑕب ጯϠ၆ѐܜ۰ّۢᙊᄃѐܜ۰ၗޘ۞ࡁ տ൴னĂᔵ൒צྏ۰ѐܜ۰۞ّၗޘ˯

ߏઐϒШĂҭ၆ѐܜ۰ّۢᙊొ̶۞ඍ ၆தϏ྿̱ј(Yen et al., 2009)Ą

ტ˯ٙࢗĂٕధࡁտ۰Հᑕྍᙯڦ

۞ࢦᕇдٺĈߏ̦ᆃۤົЯ৵ᇆᜩѐܜ ۰۞ّᇒᄃّҖࠎĉಶ͛ᚥ៍̝Ăώࡁ տᄮࠎۤົ̂ி၆ҁˠ۞ّ۞ၗޘࠎ˘

࣎ࣃ଀ଣտ۞͞ШĄ

ȞΡȟԒឮݣຝᇅԒߞ޲ܓᄙ࡚ޠή໧

ቺ౪፤

ࠎ˞ֹڡෛᄃᑅ࢝۞ໄهՀ׍វĂ

֭ࠎ˞ឰ࣎វᛇ၅זҋ֗၆̙Тۤົ֗

Њ۰۞ڡෛ(Collins, 1993)ĂೀҜጯ۰̙

ࡗ҃Т۞೩΍˞ͽ̙Тᆸࢬໄه̼ڡෛ

۞ ந ኢ ߛ ၹ (Ayalon & Tesch-Roሷmer, 2018; Utsey & Ponterotto, 1996; Collins, 1993) Ą ώ ࡁ տ ͹ ࢋ ͽ ̃ ّ ͹ ཌྷ ጯ ۰ Collins (1993)۞நኢࠎૄᖂĂፋந΍ዋ Ъώࡁտ̝ڡෛᄃᑅ࢝ˬลᆸநኢĂϡ ͽໄه̼̂ி၆ѐܜ۰ّ۞ၗޘĂͽ˭

̶Ҿᄲځ఺ˬ࣎ᆸࢬĄ

1.̼͛ᆸࢬ(Cultural Dimension)

ۤົ͹߹ᆊࣃ៍၆ߙཏវԛ๬΍প ؠ۞ԛ෪(Collins, 2002)Ă҃఺ᇹ۞ԛ෪

జ ϡ ֽ Ъ ந ̼ ၆ প ؠ ཏ វ ۞ ᑅ ࢝ ᄃ ڡ

ෛĄͽѐܜ۰ࠎּĂለ࡚۞̂ிಫវ˘

͞ࢬ૟ѐܜ۰๬ౄј൑ّᇒ۞ͷ̙׍ّ

ӛ͔˧۞ĂΩ˘͞ࢬĂ˫૟ѣّᇒ۞ѐ ܜّ̃ᔟ̼ࠎĶ࡚߷໽(cougar)ķĂ׎ຍ உ޽Ⴭѐܜّ̃ࠎ૞ܝᕷ៨ѐᅅշّͷ ѣ ࿅ ޘ ّ ᇒ ۞ ԛ ෪ (Wyman, Shiovitz- Ezra, & Bengel, 2018)ĄೱήྖᄲĂڡෛ

ᄃᑅ࢝౅࿅̂ிಫវඈಫ̬۞ޙၹĂֹ

଀͹߹ᆊࣃ៍ᄮࠎĶϒ૱ķ۞ѐܜ۰ᑕ

ྍߏ൑ّ۞Ăҭ༊ѐܜ۰ܑன΍ّᇒٕ

ѣ൴णᏐ૜ᙯܼॡĂ݋ົצזۤົᆊࣃ

៍۞ᘂჳĂซ҃జԛ๬ࠎ࿅ޘّ̼ͷ̙

੅ಈ۞Ą

2.טޘᆸࢬ(Institutional Dimension)

౅࿅ۤົטޘĂтጯ७ăᗁੰă߆ ع፟ᙯă̍үಞٙඈĂր௚ّгॲፂۤ

ົ֗ЊĂޙၹ΍ᑅ࢝ᄃజᑅ࢝۞ᙯܼĂ

ּ т ͽ ѐ ᛬ ү ࠎ ད ั ᇾ ໤ (Gewirtz- Meydan et al., 2018)Ą҃ಶѐܜ۰۞ّ҃

֏Ăࡁտ޽΍ᗁϠ၆ٺѐܜ۰ّҖࠎѣ Аˢࠎ͹۞ຐညĂົᇆᜩ׎၆ٺѐܜ۰

ّ Α ਕ ۞ ෧ ᕝ (Gewirtz-Meydan &

Ayalon, 2017)ĄϤѩΞۢᗁᒚ࠹ᙯˠࣶ

၆ٺѐܜ۰ّ۞ϒቁۢᙊᄃၗޘٺ̳В

኎Ϡᅳા۞ࢦࢋّĄ൒҃Ăᄂ៉߆ඉ၆ ٺΐૻ̳኎૞ຽˠࣶ۞ҁˠّۢᙊҬͼ

̙֭ࢦෛĂтѦୁ⚻ăͳᐖڑĞ2012ğ

۞ࡁտ޽΍Ă᜕நᑕبጯϠ၆ٺѐܜ۰

ّۢᙊ۞ඍ၆தઐҲĄੵѩ̝γĂტ៍

઼̰၆ٺҁˠ჊Ӏ̈́ܜഇ໰᜕۞߆ඉᄃ ڱఢĂѐܜ۰۞ّᅮՐ̈́࠹ᙯ૞ຽˠࣶ

ᑕ׍౯۞ّۢᙊ࠰ϏజΒӣ׎̚Ą 3.࣎ˠᆸࢬ(Personal Dimension)

ѩᆸࢬܼ޽࣎ˠ̢જᆸѨٙຏۢז

ٕߏ࣎ˠ၆΁ˠणன΍۞ᑅٕ࢝ڡෛĄ

(5)

၆ѐܜ۰ّၗޘ̝ณܑ൴ण

- 5 - ଘणனٺ࣎ˠᆸࢬ၆ѐܜ۰ّڡෛ̝၁ ᙋࡁտྵࠎ৿ͻĂણ҂ᙷҬ۞ࡁտт઼

γጯ۰ Utsey ׶ Ponterotto (1996)ͽט ޘă̼͛ᄃ࣎ˠˬᆸࢬ൴णܧ઼ཱྀ࡚ˠ གྷ រ ̝ ჌ ୉ ڡ ෛ ณ ܑ (Index of Race-Related Stress, RRS)Ą׎ณܑ൴ण གྷ࿅ణኘă൏ᕇဥវă૞छᑭរᄃ௚ࢍ

̶ژޢĂޙၹ΍࣎ˠᆸࢬ۞჌୉ڡෛ˜

࣎វᄃ΁ˠ၁ᅫ̢જགྷរٙ̚ຏצ۞ڡ

ෛĄࡶᑕϡזώࡁտĂ݋ࠎĶܧѐܜ۰ķ ၆ѐܜ۰۞ĶّķĂд၁ᅫ̢જ̚۞ڡෛ

ҖࠎĄ൒҃Ăன၁Ϡ߿̚Ăܧѐܜ۰ޝ

͌ᄃѐܜ۰੅ኢזѐܜ۰۞ّᅮՐّٕ

Ϡ߿ĄЯѩĂώࡁտણ҂ Floyd ׶ Weiss (2001)̝ አ ߤ Ă ͽ ܧ ѐ ܜ ۰ ࿰ ീ ҋ ̎ ѐ ҁޢ۞ّҖࠎ두Րүࠎ࣎ˠᆸࢬ̝ؠ ཌྷĄ

4.̈ඕ

ώࡁտፂѩͽˬลᆸநኢࠎૄᖂซ Җณܑ۞ޙၹĂീณۤົ၆ѐܜ۰۞ّ

̝ຍᙊݭၗĂтң౅࿅࣎ˠ۞ၗޘĂ׍

វгणனٺ̼͛ăטޘăᄃ࣎ˠˬᆸࢬ ШĄ

Ȟήȟ୾ѵܛึ৥ϟԒߞ޲ܓᄙ࡚໕ߓ

1.ѐܜ۰ّۢᙊᄃّၗޘณܑ

(The Aging Sexual Knowledge and Attitudes Scale, ASKAS)

White ᄃ Catania (1982)ٙ ൴ ण ̝ ASKASĂዋϡٺѐܜ۰ώ֗ăछѣѐܜ ۰۞छᛳăᄃѐܜ۰࠹ᙯಞા̍ү۰Ă ᑕϡᆸࢬ࠹༊ᇃھĄASKAS ̰ट̶ࠎۢ

ᙊ׶ၗޘ׌࣎ၹهĂ֭ซҖଣ৶ّЯ৵

̶ژĈۢᙊࢬШВ 35 ᗟĂࠎ˟̮ࢍ̶Ă Cronbach's Į ࣃརд.90 ~ .93 ̝มĂЯ৵

࢑ఈณརд.26 ~ .65 ̝มć҃ၗޘࢬШ В 26 ᗟĂࠎ Likert ˛ᕇณܑĂCronbach's

Į ࣃརд.76 ~ .87 ̝มĂЯ৵࢑ఈณར д .22 ~ .78 ̝ ม (White & Catania, 1982)Ą

׎̚Ăၗޘ̶ณܑྵ௑Ъώࡁտ۞

ᅮ Ր ᄃ ҂ ณ Ă ߇ ώ ࡁ տ ่ ଳ ϡ ASKAS

̚ ၗ ޘ ̶ ณ ܑ ү ࠎ ԧ ࣇ ൴ ण ณ ܑ ۞ ֶ ፂ Ą ҃ ASKAS ̚ ၗ ޘ ̶ ณ ܑ ۞ Cronbach's Į ࣃдछѣѐܜ۰۞ᇹώͽ

̈́ ۤ ડ ѐ ܜ ۰ ۞ ᇹ ώ ̚ Ă ̶ Ҿ ࠎ .86

׶.87(White & Catania, 1982)Ą

2.၆ѐܜ۰ّۢᙊᄃّၗޘณܑ

(Knowledge and Attitudes towards Elderly Sexuality, KATES)

ѩ ณ ܑ ࠎ Walker ă Osgood ă Richardson ᄃ Ephross (1998)ͽҁˠ໰

᜕͕̚۞ҝ͗ᄃࣶ̍ࠎ၆෪ٙ൴ण΍ֽ

۞̍׍ĄKATES ̰टঘ̈́ۢᙊăၗޘ׶

၁ચᆸࢬĂፋЊณܑВΒӣ 159 ᗟĂ̰

ӣ၆ѐܜ۰ְّ۞ۢᙊăၗޘͽ̈́צྏ

۰۞ࡦഀયᗟĂ׎ۢ̚ᙊᄃၗޘ̝ᗟี

ࠎТຍ׶̙Тຍ۞˟̮ᏴፄᗟีĂ֭ܲ

঻̙๱ඍ۞ᏴፄĄд Walker ඈˠ (1998)

۞ࡁտ̚Ă૟ۢᙊᄃၗޘᗟีበᄦјα

჌ԛё۞યסĂٙീ଀̝ Cronbach's Į ࣃ̬ٺ.72 ~ .93 ̝มć҃д Walker ᄃ Harrington (2002)۞Ω˘Њࡁտ̚Ă݋૟

KATES ณ ܑ ۞ ۢ ᙊ ׶ ၗ ޘ ᗟ ี ॲ ፂ ၆ ܜ໰፟ၹ۞ࣶ̍ٙઇ۞α჌ିֈ੊ቚሀ ё ͽ ̈́ ೼ ࿆ ၆ ٺ ྍ ି ֈ ੊ ቚ ሀ ё ۞ ၗ ޘ Ă ડ ̶ ј ̣ ჌ ԛ ё ۞ ณ ܑ Ă ׎ Cronbach's Į ࣃ̬ٺ.64 ~ .76 ̝มĄ 3.̈ඕ

˯ࢗ׌Њณܑੵ˞׶ԧࣇன̫ۤົ

ѣॡมّ۞ડ࿣γĂд̼͛˯˵ѣ࠹༊

۞मளĂ߇ώࡁտ֭ܧ่ߏᖙᛌ׌Њณ

ܑ۞ᗟีГΐͽЪ׀Ă҃ߏ˘˘ᑭෛă

(6)

ᅃጱᄃᏙથጯಡ

- 6 - ᆶ८ᗟีĂГӁഴă࣒Լࠎ௑Ъன̫ॡ

۩ਔඛᄃԧ઼̼͛۞ᗟϫĂГΐˢώࡁ տဥฤٙ൴ຐ۞ᗟϫͽ̈́ٙ୬ଣ੅̝ࡦ

ഀ ត ี Ă ֹ ώ ณ ܑ ਕ ૉ ዋ ϡ ٺ ᄂ ៉ ۤ

ົĄдܫޘ۞ొ̶Ăᔵ൒˯ࢗ׌Њณܑ

۞ܫޘౌ྿זΞତצ̝ᇾ໤Ăҭ࿅кᗟ ϫΞਕౄј̰ొ˘࡭ّܼᇴᎶණĂͷѩ

׌Њณܑ֭Ϗ੫၆ၗޘࢬШઇՀᚑᖰ۞

Я৵׶ड़ޘរᙋĄტ៍઼̰γ၆ٺѐܜ ۰ّၗޘ۞ณܑĂ֭՟ѣ˘࣎׍ѣԆፋ ໄهߛၹ۞ീณ̍׍ĂЯѩĂώࡁտ૟

ણ҂ KATES ณܑ׶ ASKAS ณܑ̝ᗟ

ีĂͽ̈́ࡁտ۰ҋበ̝ᗟีĂ֭ͽ˯ࢗ

Collins (1993)ٙ೩̝ڡෛ۞ˬ჌ᆸѨү ࠎώࡁտ̝ໄهߛၹĂ౅࿅Հᚑᖰ۞ณ

ܑበᄦ඀ԔĂ൴ण΍ീณ၆ѐܜ۰ّၗ

ޘ۞̍׍Ą

ຯȃंـПݲ Ιȃंـᄇຫ

ॲፂԧ઼ҁˠ჊ӀڱĞ2015ğ̝ࠧ

ؠĂҁˠ޽ѐ႕ 65 ໐ͽ˯̝ˠĂϤٺώ ࡁտўд൴ण˘ਠјѐ̂ி၆ٺѐܜ۰

ّ۞ၗޘณܑĂЯѩࡁտ၆෪ࠎ 18 ໐Ҍ 64 ໐̝јѐˠĂͽયסڱซҖ߉ീĂВ

̶ࠎ׌࣎ล߱Ĉௐ˘ล߱ࠎ࿰ྏĂϫ۞

д൴ण၆ѐܜ۰ّၗޘณܑ̝ᗟϫ֭ܐ Վ҂រ׎ܫޘᄃड़ޘĂѩล߱ࠎܮӀ٩ ᇹ൴ٸયסĂࡁտ۰ኛᄮᙊ̝Ꮠֹ̓ϡ

׎ۤཏშ৭൴ٸშྮ࿰ྏયסĂણᄃ۰

۞ֽ໚ࠎࡁտဥฤ֗ᙝ̝Ꮠ̓ͽ̈́Ꮠ̓

̝ ׎ ΁ ̓ ˠ Ă ͽ ̈́ ۤ ཏ შ ৭ (Facebook, FB)˯ ٙ ਕ ତ ᛈ ۞ ֹ ϡ ۰ Ą ௐ ˟ ล ߱ ࠎ ϒё߉ീĂϺࠎܮӀ٩ᇹĂࡁտ۰ኛᏐ ڈр̓౅࿅ۤཏహវăშྮπέĞFBć

ᄂ ̂ Բ ኻ ኻ ၁ ຽ Ӫ ĂPTTğ ൴ ο შ ྮ ϒ ёયס֭Тॡ౅࿅Ꮠ̓൴ٸ৽ώϒёય סĂ˞ྋ̂ி၆ٺѐܜ۰۞ّ̝ၗޘĄ

࿰ྏล߱аќ̝યסᓁࢍ 222 ЊĂ

׎̚շّࠎ 86 Ҝ(38.7%)ẵّࠎ 135 ˠҜ(60.8%)ă׎΁Ᏼีࠎ 1 ҜĂଵੵീ

ᓿᗟϏ఼࿅ͽ̈́ѐ᛬̙ቁؠ۰Ă౵ޢ̝

ѣड़ᇹώࠎ 198 ҜĄϒё߉ീล߱аќ

̝યסᓁࢍ 370 ЊĂ׎̚շّࠎ 157 Ҝ (42.4%)ẵّࠎ 210 Ҝ(56.8%)ă3 ˠ̏

๱࿅࿰ྏયסĂଵੵീᓿᗟϏ఼࿅ă๱

ඍ࿅࿰ྏયסă৽ώ᏷႒ࣃͽ̈́ѐ᛬̙

ቁؠ۰Ă౺ዶ̝ѣड़ᇹώࠎ 321 ҜĄଘ ޢᜈኑ८ड̶़̼ژ̝ᅮࢋĂѩ 321 ˠᇹ ώᐌ̶፟ј 160 ˠᄃ 161 ˠᇹώซҖޢ ᜈ̶ژĂ࠹ᙯࡦഀྤफ̶़οтܑ 1Ą

Πȃंـώڎ

ώࡁտ۞ࡁտ̍׍ࠎĶ၆ѐܜ۰ّ

ၗޘķҋበณܑĄᗟϫ۞ܐՎበᄦ̶ј

׌࣎ొ̶Ą

ௐ˘ొЊણ҂ ASKAS ᄃ KATES ׌ Њณܑ̝ᗟϫĄ׎̚ ASKAS ̶ࠎۢᙊ

̶ณܑĞ35 ᗟğ׶ၗޘ̶ณܑĞ26 ᗟğĂ В 61 ᗟĂ҂ณώࡁտ͹ᗟߏჸ൏дၗޘ

۞ᆸࢬ˯Ă߇Ᏼϡ ASKAS ̚ၗޘ̶ณ

ܑĞ26 ᗟğ۞ొ̶Ą҃ KATES ࣧณܑ

В 195 ᗟĂ҂ณᗟϫ࿅кĂऻֹצྏ۰

๱ඍॡ࢑ఈ࿅̂ĂЯѩᏴϡ Walker ඈˠ (1998)дࣧณܑ൴णࡁտٙ̚Ӕன۞ 28 ᗟĂӈ໰᜕፟ၹࣶ̍׶ѐܜ۰׌ཏˠд ᄮۢᄃၗޘ˯ѣព඾मள۞ᗟีĂ҃˘

࡭ّྵҲ۞ᗟϫ˵ྵΞਕീ΍ڡෛ۞ၗ

ޘĄ઱ืΩγᄲځ۞ߏĂЯώณܑ࿰ࢍ

ዋϡ၆෪ࠎѐܜ۰ͽγ̝˘ਠ̂ிĂᄃ ĶASKASķ̈́ĶKATESķณܑ̝ዋϡ၆

(7)

၆ѐܜ۰ّၗޘ̝ณܑ൴ण

- 7 - ෪̙Ⴝ࠹ТĄ߇ώࡁտ̈௡གྷ࿅ͅᖬ੅

ኢĂଂྍ˟ณܑ߄Ᏼ΍௑Ъώࡁտϫ۞

ᄃࡁտ၆෪̝ᗟϫ֭ᖙᛌă࣒ԼĂВ 45

ᗟćௐ˟ొ̶ࠎࡁտ̈௡д҂ณ઼̰͛

̼ăனҖטޘ۞ଐڶ˭ĂҋҖ൴ຐᄃበ ᄦᗟϫĂВ 12 ᗟĂᓁᗟᇴВ 57 ᗟĄ

ߓ 1.

नෂၦਠ΢኶ϸҁԼϸЩ

࿰ྏ 198 ˠ ϒё 160 ˠ ϒё 161 ˠ

ّҾ

շ 39.9 40 43.5

̃ 59.6 60 56.5

׎΁ 0.05 0 0

ѐ᛬̶ο 18 - 30 81.3 76.25 80.12 31 - 64 18.7 23.75 19.88

ߏӎѣᏐᛳҝ࿅໰᜕፟ၹ ߏ 30.3 29.4 37.3

ӎ 69.7 70.6 62.7

ߏӎѣ 65 ໐ͽ˯۞Ꮠᛳ ߏ 92.9 92.5 88.8

ӎ 7.1 7.5 11.2

ߏ ӎ ፉ Ї ࿅ छ ̚ ܜ ዅ ۞ ͹

ࢋ໰ᜪ۰

ߏ 13.6 15.6 12.4

ӎ 86.4 84.4 87.6

ΩγĂ҂ณזצྏ۰ώ֗၆ѐܜ۰

۞೼࿆ၗޘă၆ّ۞೼࿆ၗޘͽ̈́ۤົ

ഇధّ၆ࡁտඕڍ۞ᇆᜩĂ߇ͽౙࠃă

੼ѠᓄĞ2009ğٙ൴ण۞Ķ၆ҁˠၗޘ ณܑķ̚Ķγ៍ᄃϠநķ̶ณܑăڒጏ ӖĞ2006ğٙበᄦ۞Ķّၗޘณܑķ̚

Ķّຑ៍هķ̶ณܑăĶளّϹـķ̶ณ

ܑĂͽ̈́ၐࠠ፷Ğ2000ğٙ൴ण۞Ķර ˠۤົഇ୕ณܑķ̚ 7 ᗟϒШᗟ༊үଠ טតีĄౙࠃă੼ѠᓄĞ2009ğٙ൴ण

۞Ķ၆ҁˠၗޘณܑķ̚Ķγ៍ᄃϠநķ

̶ณܑĂ׎ Cronbach's Į ࣃࠎ.72Ą҃ڒ ጏӖበᄦĶّၗޘณܑķ̚ѣα̶࣎ณ

ܑĂ׎ Cronbach's Į ࣃ̬ٺ.70 ~ .86 ̝ มĄГ۰Ăၐࠠ፷Ğ2000ğٙ൴ण̝Ķර ˠۤົഇ୕ณܑķ̚۞ 7 ᗟϒШᗟĂ׎

Cronbach's Į ࣃࠎ.83Ą

౵ޢ࿰ྏۍώ۞ҋበณܑΒӣࡦഀ

ྤफ़ĞВ 6 ᗟğăˬ̶࣎ณܑĈ̼͛Ğ18 ᗟğăטޘĞ19 ᗟğᄃ࣎ˠĞ20 ᗟğĂͽ

̈́ଠטតีĈ၆ҁˠၗޘณܑĞ6 ᗟğă

ّၗޘณܑĞ17 ᗟğăරˠۤົഇ୕ณ

ܑĞ7 ᗟğĂ౵ޢГΐ˯ 1 ᗟീᓿᗟĈĶ఺

ᗟኛ๱ܧ૱ТຍķĂВ 93 ᗟĄˬ̶࣎ณ

ܑ ۞ ొ ̶ ͽ Collins (2002)۞ ˬ ล ᆸ ந ኢࠎૄᖂĂᑭរдۤົ̼͛۞ᇆᜩ˭Ă ܧѐܜ۰д̼͛ăטޘᄃ࣎ˠˬᆸࢬ˯

ٙणன၆ѐܜ۰ّ۞ၗޘĄณ͎ࢍ̶۞

ొ̶ĂώҋበณܑЯᗟϫᇴณઐкĂፉ

͕ณ͎ᇴณ࿅кົౄјצྏ۰ᄮۢ࢑ఈ

࿅̂Ă߇ͽ Likert αᕇณܑүࠎࢍ̶Ă!!

1 ~ 4 ̶Ч΃ܑĶܧ૱̙ТຍķăĶ̙Т ຍķăĶТຍķăĶܧ૱ТຍķĄ଀̶෸੼۰Ă

ܑϯצྏ۰дྍШޘٕፋវၗޘ˯෸ڡ

(8)

ᅃጱᄃᏙથጯಡ

- 8 -

ෛĄΩγĂώҋበณܑଳቢ˯߉ീĂ߇ Ϗѣ๱ᆷॡม˯۞ࢨטĄ

έȃंـႆแ

ٺ࿰ྏล߱Ăώࡁտ౅࿅ۤཏშ৭ (FB)൴οშྮ࿰ྏયסĂᇈՐ௑Ъצྏ

ྤॾ۞ણᄃ۰ซҖቢ˯๱ᆷĄ࿰ྏયס ฟٸ๱ඍ۞ॡมࠎഇ˘ฉĄ҃дώ࿰ྏ

યס๱ඍ݈ĂົАӔனѩયס̝޽ጱᄬ

̈́ڦຍְีĄ

࿰ ྏ ય ס а ќ ޢ ฟ ؕ ซ Җ ี ϫ ̶ ژăଣ৶ّЯ৵̶ژĂГֶፂ࿰ྏ̶ژ ඕڍซҖӁᗟĂޙϲϒёณܑĄϒёณ

ܑ۞߉ീล߱ĂϺ౅࿅ۤཏშ৭(FB)ă შྮπᄂĞPTT graduate ۍğ൴οቢ˯

યסĂͷࠎ˞Հᇃھќะк̮ᇹώĂ౅

࿅ܮӀ٩ᇹĂΩγ൴ٸ˞ 30 Њ۞৽ώય סĄቢ˯યס̝ฟٸ๱ඍॡมᄃ৽ώય ס۞аќॡม࠰ࠎഇ׌ฉĄϒёયסа ќޢĂӈซˢរᙋّЯ৵̶ژĂͽᑭ८ Ķ၆ѐܜ۰ّၗޘณܑķ̝ड़ޘĄ

ѲȃၥਟϷݙ

ώࡁտАͽ௚ࢍइ྅హវ SPSS 20 ซҖีϫ̶ژăଣ৶ّЯ৵̶ژ̰̈́ొ

˘࡭̶ّژĂͽүࠎᗟϫᎡᏴ۞ֶፂĂ Гͽ Amos 21 ซҖរᙋّЯ৵̶ژĂͽ ޙϲώณܑ̝ड़ޘĄ

୤ȃ๖ݎ ΙȃႱၐ

࿰ྏᓁᇹώᇴВ 222 ˠĂॲፂീᓿ ᗟӁੵ൑ड़ᇹώ 22 ˠͽ̈́΍Ϡѐ๱ඍ 1900 ᄃ 2018 ۰Ăѣड़ᇹώᇴВ 198 ˠĄ

ȞΚȟ໷ҭϸݚ

ώࡁտ੫၆Ķ̼͛ķăĶטޘķăĶ࣎

ˠķăĶ၆ѐܜ۰೼࿆ၗޘķăĶ೼ّ࿆ၗ

ޘķͽ̈́Ķۤົഇధّķ̱࣎̄ณܑซ Җีϫ̶ژĂֶፂЧ̄ณܑπӮࣃ̝݈

27%ᄃޢ 27%ซҖ፾ϲᇹώ t ҂រĂඕ ڍពϯٙѣᗟี̝ CR ࣃ࠰རд 3.85 ~ 18.58 ̝ ม Ă ព ϯ ٙ ѣ ᗟ ϫ Ӯ ׍ ѣ ։ р

̝ᝥҾޘĞӓځษăἪܛૅĂ2008ğĄ֭

ͽ ࣒ ϒ ޢ ี ϫ ᓁ ࠹ ᙯ ̈ ٺ .40 ઇࠎᇾ໤

ӁᗟĂӁΝ̼͛ 2 ᗟăטޘ 3 ᗟă࣎ˠ 1 ᗟă၆ѐܜ۰೼࿆ၗޘ 1 ᗟă೼ّ࿆

ၗޘ 10 ᗟĄ

ȞΡȟ௥સܓӱષϸݚᇅᡜᜍܓӱષϸ ݚ

ֶፂ˯ࢗีϫ̶ژ̝ඕڍĂ੫၆Ķ͛

̼ķăĶטޘķᄃĶ࣎ˠķˬ࣎ၹهВ 51 ᗟซҖଣ৶ّЯ৵̶ژĂපפ͞ёֹϡ

͹ј̶̶ژĂᖼคڱֹϡ౵̂តளڱĂ

׽ؠЯ̄ᇴϫࠎ 3Ăඕڍពϯඕڍඕၹ

ࣝใĂࣧ࣎ˠၹࢬ۞ధкᗟี̶೸རд

׎ ΁ ၹ ࢬ ̚ Ą Я ѩ а ᕩ Ҍ ந ኢ ώ ኳ ᑭ

ෛĂ൴ன Collins (1993)۞நኢ̚۞࣎ˠ ᆸ Ѩ ٙ ೡ ࢗ ۞ ຍ உ ᄃ ࣎ វ ၁ ᅫ གྷ រ ѣ ᙯ Ă ͽ ѩ ᑭ ෛ ώ ࡁ տ ࣎ ˠ ၹ ࢬ ᗟ ี ൴ னĂצྏ۰ߏӎགྷរ࿅ᄃᗟีٙೡࢗ۞

̰உĂົౄј๱ඍ۞मளĂּтĈĶኛຐ ည˘࣎Ұᄮᙊ۞ 65 ໐ͽ˯ѐܜ۰…ķඈ ᗟีऻЯצྏ۰ߏӎѣ௑Ъೡࢗ۞Ꮠᛳ

҃ౄј๱ඍ̙ТćĶтڍҝд໰᜕፟ၹ۞

ᏐᛳᄃΩ˘Ҝҝ͗൴ϠّᙯܼĂԧົ…ķ ඈຐညᗟ˵Ξਕ෼ᗓצྏ۰གྷរ͉࿅ᅌ ᅈćĶтڍԧ࿅˞ 65 ໐̝ޢĂԧᄮࠎԧ

۞ҡܴ၆ّຑົຏᎸ኷ķ஝ঘז၆ҋ̎

Ϗֽҡܴ۞டຐĂঘ̈́࿅ޘኑᗔ۞ᄮۢ

።඀ĂЯѩགྷࡁտ̈௡ᄃ࠹ᙯᅳા૞छ

(9)

၆ѐܜ۰ّၗޘ̝ณܑ൴ण

- 9 -

੅ኢޢՙᛉ૟఺ֱᗟϫӁੵĂ֭ͽѩГ ѨซҖଣ৶ّЯ৵̶ژĄ

̶ژඕڍពϯĂᖼคޢЯ̄৏ੱྵ

ਕځቁӔனˬ჌ၹهĂҭˬ࣎ၹࢬ࠰̪

ѣ͌ధᗟีརдܧ࿰ഇ۞ၹࢬ˯Ăࡁտ

̈௡АֶፂЯ৵࢑ఈณ.4 ࠎᇾ໤ซҖӁ ᗟĂГֶፂᗟีຍஉᄃ׎རд۞ၹࢬ۞

நኢຍஉ̝ม۞˘࡭ّซҖӁᗟĂˬ࣎

Я৵̝௢᎕ྋᛖតளณࠎ 48.36%ĂKMO ࣃࠎ.90Ă஧ݭᑭؠ྿ព඾(p = .00)Ă֭

ͽѩඕڍซ˘ՎซҖរᙋّЯ৵̶ژĂ ଳ ϡ ౵ ̂ ໄ Ҭ Ҥ ࢍ ڱ (maximum likelihood, ML)ĂͽរᙋĶѐܜ۰ّၗޘķ ͽ̈́Ķ၆ѐܜ۰೼࿆ၗޘķăĶ೼ّ࿆ၗ

ޘķͽ̈́Ķۤົഇధّķˬ࣎ณܑ̝ޙ ၹड़ޘĄ

дܐྏ۞ଣ৶ّ̈́រᙋّЯ৵̶ژ ޢĂࡁտ̈௡൴னܐؕؠཌྷ̝Ķ̼͛ķă ĶטޘķăᄃĶ࣎ˠķၹهΞਕ̙ૉځቁĂ Я҃૟ѩˬลᆸՀځቁ۞ؠཌྷࠎĈдۤ

ົ၆ѐܜ۰۞ّ̝ຍᙊԛၗᇆᜩ̝˭Ă

̼͛ၹهࠎĶ࣎ˠٙ޺ѣ۞၆ѐܜ۰ّ

̝೼࿆ᆊࣃ៍ķăטޘၹهࠎĶ࣎ˠ၆ᄃ

ѐܜ۰ّ࠹ᙯ̝ۤົטޘăڱఢٕఢቑ

۞ၗޘķăͽ̈́࣎ˠၹهࠎĶ࣎ˠᏐ֗གྷ រٙ̚ຏۢז၆ѐܜ۰۞ّ۞ၗޘķĄ 1.ሀёዋ੨ޘ҂រ

ࢵА੫၆Ķѐܜ۰ّၗޘณܑķซ Җ រ ᙋ ّ Я ৵ ̶ ژ Ă ώ ࡁ տ ଳ ϡ RMSEAăSRMRăGFIăCFI ඈࢦࢋዋ੨ ޘ ޽ ᇾ Ă ዋ ੨ ޘ ඕ ڍ ព ϯ = 2.05 ă RMSEA = .07ăSRMR = .07ăGFI = .81ă CFI = .84ĂܐՎፋវዋ੨ޘإָĂࡁտ ۰ ણ ҂ ࣒ ϒ ޽ ᇾ (modification indices)

̝ޙᛉᄃࣧநኢሀё̝ЪநّઇአፋĂ

౵ޢዋ੨ޘࠎ = 1.53ăRMSEA = .05ă SRMR = .06ăGFI = .85ăCFI = .92Ăੵ

GFI ࣃ̈ٺᇾ໤.90 γĂፋវዋ੨ޘ̂к

྿זᇾ໤(Hooper, Coughlan, & Mullen, 2008)ĂϤ ٺкᇴ޽ᇾ྿ᇾ໤ĂЯѩፋវ ሀ ё Ξ ତ צ Ğ เ ۾ ᅛ Ă 2004 ć Hair, Anderson, Tatham, & Black, 1998ğĂሀё ዋ੨ᑭរኛણ໰ܑ 2Ăሀёߛၹဦኛણ

໰ဦ 1ĄĶ၆ѐܜ۰೼࿆ၗޘณܑķăĶ೼

ّ࿆ၗޘณܑķᄃĶۤົഇధณܑķඈ ଠטតี̝ፋវዋ੨ޘϺ࠰྿ᇾĄ

ߓ 2.

Ⴒၑ-Ԓߞ޲ܓᄙ࡚໕ߓ CFA ϟᎍପ࡚ࡿዀ

ፋវዋ੨ޘ޽ᇾ ܐՎඕڍ ࣒ϒޢ ҿᕝᇾ໤

ݔ

†ˆ 2.05 1.53 < 3

RMSEA .07 .05 < .08

SRMR .07 .06 < .08

GFI .84 .85 > .90

CFI .84 .92 > .90

2.௡Ъܫޘ׶πӮតள٩פณ̶ژ ώࡁտ̝Ķ၆ѐܜ۰ّၗޘณܑķ

Ч៍၅តี၆׎࣎Ҿሕдតี۞Я৵࢑

ఈณ̬ٺ.45 ~ .86 ̝มĂүࠎଠטតี

(10)

ᅃጱᄃᏙથጯಡ

- 10 -

۞ Ķ ೼ ࿆ ّ ၗ ޘ ķăĶ ၆ ѐ ܜ ۰ ೼ ࿆ ၗ ޘķăĶۤົഇధّķ̝Я৵࢑ఈณ݋̬

ٺ.49 ~ .85 ̝มĂពϯٙѣณܑ۞៍၅ តี࠰ਕͅߍ׎ٙ၆ᑕ۞ሕдតีĄ

ώࡁտӀϡ௡Ъܫޘ׶តளᇴπӮ ٩פณ(average variance extracted, AVE)

ֽᑭෛณܑ۞ܫޘᄃќᑦड़ޘĂඕڍព ϯĶ၆ѐܜ۰ّၗޘณܑķ̝௡Ъܫޘ Ӯ੼ٺ.82Ă׍ѣநຐ۞௡ЪܫޘĂπӮ ត ள ٩ פ ณ ̬ ٺ .36 ~ .61 ̝ ม Ă ֶ ໰ Hair ඈˠ۞ޙᛉĂAVE ࣃ̂ٺ.25 ӈΞ ତצ(Hair et al., 1998)ĂពϯĶ၆ѐܜ۰

ّၗޘณܑķ̝̰ొݡኳָĂΞซˢϒ ё߉ീล߱ĄѩγĂĶ೼ّ࿆ၗޘķăĶ၆ ѐܜ۰೼࿆ၗޘķăĶۤົഇధّķඈˬ

࣎ณܑ̝௡Ъܫޘ࠰੼ٺ.76ĂπӮតள ٩פณ࠰੼ٺ.45Ăពϯѩˬณܑ׍ѣ֖

ૉ ̝ ܫ ड़ ޘ Ξ ซ ˢ ϒ ё ߉ ീ ล ߱ Ą ઱

AVE ࣃ ֭ Ϗ ล ̂ ٺ Я ৵ ม ࠹ ᙯ ۞ π ͞ ࣃĂপҾߏЯ৵˘ᄃЯ৵˟̝࠹ᙯܼᇴ

࿅੼Ğኛ֍ဦ 1ğĂЯѩдડᏰड़ޘ˯Ξ ਕົѣֱႷᇋĄ

3.̰ొ˘࡭ّܫޘ̶ژ

Ķ၆ѐܜ۰ّၗޘณܑķ̚Ă̼͛ă טޘă࣎ˠ̶ณܑ̝ Cronbach’s Į ܼᇴ

̶Ҿ ࠎ.87ă.89ă.81Ă࣒ϒޢีϫᓁ࠹

ᙯ࠰རٺ.40 ~ .74 ̝มćĶ೼ّ࿆ၗޘณ

ܑķ̝ Cronbach’s Į ܼᇴࠎ.86ćĶ၆ѐ ܜ۰೼࿆ၗޘณܑķ̝ Cronbach’s Į ܼ ᇴࠎ.74ćۤົഇధณܑķ̝ Cronbach’s Į ܼ ᇴ ࠎ .82Ă ࣒ ϒ ޢ ี ϫ ᓁ ࠹ ᙯ ࠰ ར д.45 ~ .71 ̝มĂፋវܫޘ̶ژඕڍΞ ତצĄ

ώࡁտ࿰ྏ̝ณܑᗟีᄃ׎Я৵࢑

ఈณăܫޘኛણ໰ܑ 3 ᄃܑ 4Ą

შ 1. Ⴒၑ-ᄈԒߞ޲ܓᄙ࡚໕ߓϟข໕ዂԓ

(11)

၆ѐܜ۰ّၗޘ̝ณܑ൴ण

- 11 - ߓ 3.

Ⴒၑ-ᄈԒߞ޲ܓᄙ࡚໕ߓϸݚ๗ݏᄣ्ߓ

Я৵ ᗟཱི ᗟϫ Я৵࢑ఈณ ܫ

1 2 3 ޘ

̼͛ P41 ԧ̙ᛇ଀छ̚ܜዅѣّᅮՐ .73 .87 P56 ࡶۢ྽छ̚ܜዅ̪ѣّᅮՐĂԧົຏז̙නڇ .66 C52 ѐܜّ̃၆ѐܜշֽّᄲ՟ѣӛ͔˧ .64 C14_R շّѐܜ۰ҋᇐߏΞͽజତצ۞ .62 C34 ѐܜշّᄃѐᅅّ̃ኘ᝽ຑߏਣᖱ۞ .62 C37 ѐܜշّ၆ѐܜֽّ̃ᄲ՟ѣӛ͔˧ .61 C32 ѐܜّ̃ᄃѐᅅշّኘ᝽ຑߏਣᖱ۞ .60

C44 ѐܜّ̙̃ዋЪࡍ඾ّຏ .59

C47 ᐌ඾ѐࡔᆧΐĂດ̙ᅮࢋᐎ๬֗Մ .55 P23 тڍԧ࿅˞ 65 ໐̝ޢĂԧᄮࠎயϠّᇒົឰԧຏז௧ऺ .50 C9 ༊࿅˞ 65 ໐̝ޢĂˠҋ൒ಶ̙ົ၆ĶّķຏᎸ኷ .47 טޘ I25 ໰᜕፟ၹ۞ҝ̙͗ᑕྍѣĶّķ࠹ᙯ۞߿જ .80 .89

P51 тڍԧۢ྽ߙ໰᜕፟ၹ͚޺ҝ͗႕ّ֖ᅮՐĂԧ̙ົ

ឰᏐᛳΝҝ

.78

P13 ԧ̙ԓ୕ԧ۞Ꮠᛳд໰᜕፟ၹܑ྿Ķّķ͞ࢬ۞ᅮՐ .74 I33_R ໰᜕፟ၹᑕྍ೩ֻᔳռ۩มගຐซҖّҖࠎ۞ҝ͗ .67 I43_R ໰᜕፟ၹᑕྍ೩ֻგ྽ឰҝܑ͗྿Ķّķ͞ࢬ۞ᅮՐ .66 I38 ໰᜕፟ၹ۞ࣶ̙̍ᑕྍ͚޺ҝ͗ࣇ൴णᏐ૜ᙯܼ .65 I17_R ໰᜕፟ၹᑕྍࢋ೩ֻ̂˘ᕇ۞ԖዛĂឰѣّᇒ୕۞ҡ

ܴਕૉჂд˘੓

.64

I27_R ໰᜕፟ၹᑕྍ೩ֻளّҝ͗ۤϹ߿જ۞፟ົ .64 I57 اछё۞ѐܜ۰໰ᜪڇચ̙ᅮࢋ૟ّᇒ۞႕֖˵ৼˢ

ڇચ

.59

I45_R тڍҝ͗ѣᅮՐĂ໰᜕፟ၹᑕྍםӄפ଀јˠᇆٕͯ

३ᚱ

.53

I2 ໰᜕፟ၹ̙ྍ͚޺ҝ͗ѣĶّķ࠹ᙯ۞߿જ .53 I12_R ԧົ͚޺၆໰᜕፟ၹ۞ѐܜ۰ކጱّۢᙊ .46 I48_R ໰᜕፟ၹ۞ࣶ̍ᑕྍаᑕҝ͗Ķّķ࠹ᙯ۞Ⴗೊ .46 I50 ໰᜕፟ၹ۞ࣶ̍൴னҝ͗ѣّҖࠎĂࣶ̍ᑕྍࢋ̬ˢ

ࢬኘᅃጱ

.45

࣎ˠ P20_R тڍԧ࿅˞ 65 ໐̝ޢĂԧᄮࠎ၆ԧ҃֏Ăّຑߏࢦࢋ۞ .86 .81 P21_R тڍԧ࿅˞ 65 ໐̝ޢĂԧᄮࠎԧ၆ّຑົຏᎸ኷ .83 P19_R тڍԧ࿅˞ 65 ໐̝ޢĂԧᄮࠎԧ̪ਕညѐᅅॡ˘ᇹֳ

צّຑ

.64

(12)

ᅃጱᄃᏙથጯಡ

- 12 - ߓ 4.

Ⴒၑ-ᄈԒߞ޲඾ႈᄙ࡚ȃ඾ႈܓᄙ࡚ȃަཽ෉೩໕ߓϸݚ๗ݏᄣ्ߓ

ᗟཱི ᗟϫ Я৵࢑ఈณ

1 2 3 ܫޘ

GS64 ˘؆ଐߏ˘߱՟ѣຑଐ۞ّҖࠎĂ̙ࣃ଀ᐌܮဘྏ .79 .86

GS70 ൴ϠّҖࠎᅮдຑଐ۞ૄᖂ˯ .76

GS68 ൑ڱ၆˘؆ଐ۞ޢڍٚፉయЇĂЯѩ̙ົဘྏ .70 GS69 ൑ڱ၆˘؆ଐ۞ޢڍٚፉయЇĂЯѩ̙ົဘྏ .66 GS65_R ˘؆ଐߏ࣎ߊו፬˫ѣ኷۞ྼᑚ҃ຐΝဘྏ .64 GS66_R ൴Ϡ˘؆ଐߏܑன፾ϲҋ͹۞፟ົ҃ຐΝဘྏ .60

GO61 វऴкঽ۞ .85 .74

GO62 ৿ͻ߿˧۞ .75

GO60 ̙੅ˠಈᝌ۞ .53

GO59_R ઉ૵։р۞ .49

SD85 ࢋՐҾˠ۞ְԧ˘ؠАઇז .75 .82

SD83 ԧᓁߏͽ֗ү݋ .73

SD84 ԧᓁߏͽϒࢬ۞ၗޘֽࢬ၆΁ˠ۞Բෞ .69

SD82 ԧᓁߏ෍͕ତצҾˠ၆ԧ۞Բෞ .68

SD81 дЇңଐڶ˭ԧౌົАҽᐖޥ҂ޢ̖Җજ .61

ΠȃғԒࢊก

ϒё߉ീล߱ᓁᇹώᇴ 370 ˠĂӁ

ੵീᓿᗟᄃ৽ώ᏷႒ࣃޢĂ౺ዶѣड़ᇹ ώᇴВ 321 ˠĄ̶ژ૟А੫၆࿰ྏ̝Я

৵ඕၹซҖរᙋّЯ৵̶ژĂͽᑭෛˬ ၹهณܑඕၹ̝ዋ੨ޘĄϒё̶ژล߱

̝ រ ᙋ ّ Я ৵ ̶ ژ ଳ פ ኑ ८ ड़ ̼ (cross-validation)ĂАͽ˘Ηᇹώޙϲ઄

ຐ۞நኢሀёĂГϡΩ˘Η۞ᇹώᑭؠ

݈ ۰ ൴ ण ̝ ሀ ё ۞ ዋ ༊ ّ Ğ ӓ ځ ษ Ă 2009ğĄHomburg (1991)ᄮࠎĂࡶሀёྵ

ኑᗔॡĂᇹώˠᇴ̬ٺ 300 Ҍ 500 ˠมĂ ซҖኑ८ड़̼ड़ڍ౵ָĞ͔ҋܘ൶߆Ă 2009ğĄώࡁտ̝ѣड़ᇹώᇴࠎ 321 ˠĂ ЯѩዋЪซҖኑ८ड़̼۞រᙋĄࡁտ۰

ֹϡ SPSS 20 ۞Ᏼፄ៍၅ࣃΑਕĂ૟ 321 ˠᐌ፟ડ̶ј 160 ˠᄃ 161 ˠĄ̶ژ࿅

඀Аͽ 160 ˠᇹώޙϲநኢߛၹĂГͽ 161 ˠᇹώᑭរሀё۞ዋ੨ޘĄĶ೼ّ࿆

ၗޘķăĶ၆ѐܜ۰೼࿆ၗޘķᄃĶۤົ

ഇధّķˬ࣎ଠטតี݋ͽ 321 ˠᇹώ ซҖរᙋّЯ৵̶ژĄ

ѩγĂώࡁտўдᄲځĶ၆ѐܜ۰

ّၗޘķࠎ˘̙Тٺ࿅ـࡁտ̚Ķ၆ѐ ܜ۰೼࿆ၗޘķᄃĶ೼ّ࿆ၗޘķ̝፾

ϲၹهĂЯѩĂืរᙋ၆Ķѐܜ۰ّၗ

ޘķᄃĶ೼ّ࿆ၗޘķ׶Ķ၆ѐܜ۰೼

࿆ၗޘķ̝มࠎЧҋ፾ϲ۞ၹهĄ౵ޢ

݋੫၆ѐ᛬ăّҾăିֈ඀ޘඈૄώࡦ

ഀតีᄃ၆ѐܜ۰ّၗޘ̝ม۞ᙯܼซ Җ̶ژĄ

(13)

၆ѐܜ۰ّၗޘ̝ณܑ൴ण

- 13 -

ȞΚȟᄈԒߞ޲ܓᄙ࡚ϟᡜᜍܓӱષϸ

ݚᇅፓਰਞϾ

1.ሀёዋ੨ޘ҂រ

ࢵА੫၆ 160 ˠᇹώซҖĶ၆ѐܜ ۰ّၗޘณܑķ۞រᙋّЯ৵̶ژĄӁ

ੵ Я ৵ ࢑ ఈ ณ ̈ ٺ .4 ۞׌ᗟĂ౺ዶ 26 ᗟĄዋ੨ඕڍពϯݔ/df = 2.17ăRMSEA

= .09ă SRMR = .08ă GFI = .78ă CFI

= .80ĂܐՎፋវዋ੨ޘإΞĂࡁտ۰ણ

҂࣒ϒ޽ᇾ̝ޙᛉᄃࣧநኢሀё̝Ъந

ّઇአፋĂ౵ޢዋ੨ޘࠎݔ/df = 1.46ă RMSEA = .054 ă SRMR = .07 ă GFI

= .83ăCFI = .92Ăੵ GFI ࣃ̈ٺᇾ໤.90 γĂፋវዋ੨ޘ̂к

྿זᇾ໤(Hooper et al., 2008)ĂϤٺк ᇴ޽ᇾ྿ᇾ໤ĂЯѩፋវሀёΞତצĞเ

۾ᅛĂ2004ćHair et al, 1998ğĄ161 ˠ ᇹώ۞ኑ८ड़̼ዋ੨ඕڍт˭Ĉݔ/df = 1.86ăRMSEA = .07ăSRMR = .07ăGFI

= .79ăCFI = .87Ăᔵ CFI ࣃࢫҌᇾ໤ͽ

˭ Ă ҭ Ω ˬ ࣎ ޽ ᇾ ֶ ൒ ௑ Ъ ዋ ੨ ޘ ᇾ

໤ĂЯѩĂኑ८ड़̼̝រᙋඕڍពϯѩ ሀё׍ѣ։р̝ޙၹड़ޘĄ׌჌ᇹώ̝

ሀёዋ੨ᑭរኛણ໰ܑ 5Ăሀёߛၹဦ ኛણ໰ဦ 2Ą

ѩγĂĶ၆ѐܜ۰೼࿆ၗޘณܑķă Ķ೼ّ࿆ၗޘณܑķᄃĶۤົഇధณܑķ ඈଠטតี̝ፋវዋ੨ޘϺ࠰྿ᇾĄ

ߓ 5.

Ҕԓ-ᄈԒߞ޲ܓᄙ࡚໕ߓ CFA ϟᎍପ࡚ࡿዀ

ፋវዋ੨ޘ޽ᇾ 160 ˠᇹώ 161 ˠᇹώ ҿᕝᇾ໤ᄃྋᛖ ݔ

†ˆ 1.46 1.86 < 3

RMSEA 0.05 0.07 < .08

SRMR 0.07 0.07 < .08

GFI 0.83 0.79 > .90

CFI 0.92 0.87 > .90

2.௡Ъܫޘ׶តளᇴ۞πӮ٩פณ̶ژ

׌ᇹώ̝Ķ၆ѐܜ۰ّၗޘณܑķ Я৵࢑ఈณ̬ٺ.41 ~ .94 ̝มĂүࠎଠ טតี۞Ķ೼ّ࿆ၗޘķăĶ၆ѐܜ۰೼

࿆ၗޘķăĶۤົഇధّķ̝Я৵࢑ఈณ

݋̬ٺ.45 ~ .87 ̝มĂពϯٙѣณܑ̝

៍ ၅ ត ี Ӯ ਕ ͅ ߍ ׎ ٙ ޙ ၹ ۞ ሕ д ត

ีĄ

׌ᇹώ̝௡ЪܫޘᄃπӮតள٩פ ณ̝ඕڍϺΞତצĂĶ၆ѐܜ۰ّၗޘณ

ܑķ̝௡ЪܫޘӮ੼ٺ.77Ă׍ѣநຐ۞

௡ЪܫޘĂតளᇴ۞πӮ٩פณ̬ٺ.25

~ .59 ̝ ม Ă ֶ Hairă Blackă Babină Anderson ᄃ Tatham (2006)ٙޙᛉ̝ᇾ

໤Ăѩณܑ̝ݡኳإΞజତצĄ҃үࠎ ଠטតี۞Ķ೼ّ࿆ၗޘķăĶ၆ѐܜ۰

೼࿆ၗޘķăĶۤົഇధّķˬ࣎ณܑ̝

௡Ъܫޘ࠰੼ٺ.75ĂπӮតள٩פณ࠰

੼ٺ.39Ăពϯѩ̍׍׍ѣ։р̝ќᑦड़ ޘĂЯѩΞৼˢޢᜈ̶̝ژĄҭĂϒё

(14)

ᅃጱᄃᏙથጯಡ

- 14 -

̶ژ̚ĂЧЯ৵̝ AVE ࣃϺϏ࠰̂ٺЯ

৵ม࠹ᙯܼᇴ̝π͞ࣃĂĶ̼͛ķᄃĶט ޘķ̝࠹ᙯܼᇴϺ࿅੼Ğ֍ဦ 2ğĂЯѩ ϒ ё ̶ ژ ඕ ڍ ̝ ડ Ᏸ ड़ ޘ Ϻ Ξ ਕ ѣ Ⴗ ᇋĄ

ȞΡȟ࡚߭ϸݚ

Ķ၆ѐܜ۰ّၗޘณܑķ̚Ă׌ᇹ ώ ̝ ͛ ̼ ă ט ޘ ă ࣎ ˠ ̶ ณ ܑ ̝

Cronbach’s Į ܼᇴ̶Ҿࠎ̬ٺ.76 ~ .89

̝มĂĶ೼ّ࿆ၗޘณܑķ̝ Cronbach’s Į ܼᇴࠎ.90ćĶ၆ѐܜ۰೼࿆ၗޘณܑķ

̝ Cronbach’s Į ܼᇴࠎ.80ćۤົഇధณ

ܑķ̝ Cronbach’s Į ܼᇴࠎ.74Ăፋវܫ ޘ̶ژඕڍΞତצĄώࡁտ̝ณܑᗟี

ᄃ׎Я৵࢑ఈณăܫޘኛણ໰ܑ 6 Ҍܑ

შ 2. !Ҕԓ-ᄈԒߞ޲ܓᄙ࡚໕ߓϟข໕ዂԓ

(15)

၆ѐܜ۰ّၗޘ̝ณܑ൴ण

- 15 - ߓ 6.

160 ΢ኻҐ-ᄈԒߞ޲ܓᄙ࡚໕ߓϸݚ๗ݏᄣ्ߓ

Я৵ ᗟཱི ᗟϫ Я৵࢑ఈณ

ܫޘ 1 2 3

̼͛ C14 ѐܜշّᄃѐᅅّ̃ኘ᝽ຑߏਣᖱ۞ .72 .86 C13 ѐܜّ̃ᄃѐᅅշّኘ᝽ຑߏਣᖱ۞ .70 C27 ࡶۢ྽छ̚ܜዅ̪ѣّᅮՐĂԧົຏז̙නڇ .67 C5_R շّѐܜ۰ҋᇐߏΞͽజତצ۞ .63

C21 ѐܜّ̙̃ዋЪࡍ඾ّຏ .61

C2 ༊࿅˞ 65 ໐̝ޢĂˠҋ൒ಶ̙ົ၆ĶّķຏᎸ኷ .58

C19 ԧ̙ᛇ଀छ̚ܜዅѣّᅮՐ .57

C15 ѐܜշّ၆ѐܜֽّ̃ᄲ՟ѣӛ͔˧ .50 C23 ᐌ඾ѐࡔᆧΐĂດ̙ᅮࢋᐎ๬֗Մ .49 C16 ѐܜّ̃၆ѐܜշֽّᄲ՟ѣӛ͔˧ .42 טޘ I26 тڍԧۢ྽ߙ໰᜕፟ၹ͚޺ҝ͗႕ّ֖ᅮՐĂԧ̙ົឰᏐ

ᛳΝҝ

.75 .88

I18 ໰᜕፟ၹ۞ࣶ̙̍ᑕྍ͚޺ҝ͗ࣇ൴णᏐ૜ᙯܼ .69 I11 ໰᜕፟ၹ۞ҝ̙͗ᑕྍѣĶّķ࠹ᙯ۞߿જ .67 I28 اछё۞ѐܜ۰໰ᜪڇચ̙ᅮࢋ૟ّᇒ۞႕֖˵ৼˢڇચ .66 I4 ԧ̙ԓ୕ԧ۞Ꮠᛳд໰᜕፟ၹܑ྿Ķّķ͞ࢬ۞ᅮՐ .65 I1 ໰᜕፟ၹ̙ྍ͚޺ҝ͗ѣĶّķ࠹ᙯ۞߿જ .58 I12_R ໰᜕፟ၹᑕྍ೩ֻளّҝ͗ۤϹ߿જ۞፟ົ .58 I17_R ໰᜕፟ၹᑕྍ೩ֻᔳռ۩มගຐซҖّҖࠎ۞ҝ͗ .57 I24_R ໰᜕፟ၹ۞ࣶ̍ᑕྍаᑕҝ͗Ķّķ࠹ᙯ۞Ⴗೊ .56 I20_R ໰᜕፟ၹᑕྍ೩ֻგ྽ឰҝܑ͗྿Ķّķ͞ࢬ۞ᅮՐ .55 I10_R ໰᜕፟ၹᑕྍࢋ೩ֻ̂˘ᕇ۞ԖዛĂឰѣّᇒ୕۞ҡܴਕ

ૉჂд˘੓

.54

I22_R тڍҝ͗ѣᅮՐĂ໰᜕፟ၹᑕྍםӄפ଀јˠᇆٕͯ३ᚱ .49 I25 ໰᜕፟ၹ۞ࣶ̍൴னҝ͗ѣّҖࠎĂࣶ̍ᑕྍࢋ̬ˢࢬኘ

ᅃጱ

.47

࣎ˠ P8_R тڍԧ࿅˞ 65 ໐̝ޢĂԧ၆ّຑົຏᎸ኷ .88 .76 P7_R тڍԧ࿅˞ 65 ໐̝ޢĂ၆ԧ҃֏Ăّຑߏࢦࢋ۞ .87 P6_R тڍԧ࿅˞ 65 ໐̝ޢĂԧ̪ਕညѐᅅॡ˘ᇹֳצّຑ .48

(16)

ᅃጱᄃᏙથጯಡ

- 16 - ߓ 7.

161 ΢ኻҐ-ᄈԒߞ޲ܓᄙ࡚໕ߓϸݚ๗ݏᄣ्ߓ

Я৵ ᗟཱི ᗟϫ Я৵࢑ఈณ

ܫޘ 1 2 3

̼͛ C21 ѐܜّ̙̃ዋЪࡍ඾ّຏ .60 .79 C15 ѐܜշّ၆ѐܜֽّ̃ᄲ՟ѣӛ͔˧ .53

C2 ༊࿅˞ 65 ໐̝ޢĂˠҋ൒ಶ̙ົ၆ĶّķຏᎸ኷ .52 C27 ࡶۢ྽छ̚ܜዅ̪ѣّᅮՐĂԧົຏז̙නڇ .52 C16 ѐܜّ̃၆ѐܜշֽّᄲ՟ѣӛ͔˧ .51 C5_R շّѐܜ۰ҋᇐߏΞͽజତצ۞ .50

C19 ԧ̙ᛇ଀छ̚ܜዅѣّᅮՐ .47

C13 ѐܜّ̃ᄃѐᅅշّኘ᝽ຑߏਣᖱ۞ .45 C14 ѐܜշّᄃѐᅅّ̃ኘ᝽ຑߏਣᖱ۞ .44 C23 ᐌ඾ѐࡔᆧΐĂດ̙ᅮࢋᐎ๬֗Մ .41 טޘ I26 тڍԧۢ྽ߙ໰᜕፟ၹ͚޺ҝ͗႕ّ֖ᅮՐĂԧ̙ົឰᏐ

ᛳΝҝ

.73 .89

I18 ໰᜕፟ၹ۞ࣶ̙̍ᑕྍ͚޺ҝ͗ࣇ൴णᏐ૜ᙯܼ .71 I11 ໰᜕፟ၹ۞ҝ̙͗ᑕྍѣĶّķ࠹ᙯ۞߿જ .70 I4 ԧ̙ԓ୕ԧ۞Ꮠᛳд໰᜕፟ၹܑ྿Ķّķ͞ࢬ۞ᅮՐ .70 I20_R ໰᜕፟ၹᑕྍ೩ֻგ྽ឰҝܑ͗྿Ķّķ͞ࢬ۞ᅮՐ .65 I1 ໰᜕፟ၹ̙ྍ͚޺ҝ͗ѣĶّķ࠹ᙯ۞߿જ .62 I28 اछё۞ѐܜ۰໰ᜪڇચ̙ᅮࢋ૟ّᇒ۞႕֖˵ৼˢڇ

.60

I24_R ໰᜕፟ၹ۞ࣶ̍ᑕྍаᑕҝ͗Ķّķ࠹ᙯ۞Ⴗೊ .59 I17_R ໰᜕፟ၹᑕྍ೩ֻᔳռ۩มගຐซҖّҖࠎ۞ҝ͗ .56 I25 ໰᜕፟ၹ۞ࣶ̍൴னҝ͗ѣّҖࠎĂࣶ̍ᑕྍࢋ̬ˢࢬኘ

ᅃጱ

.56

I22_R тڍҝ͗ѣᅮՐĂ໰᜕፟ၹᑕྍםӄפ଀јˠᇆٕͯ३ᚱ .52 I10_R ໰᜕፟ၹᑕྍࢋ೩ֻ̂˘ᕇ۞ԖዛĂឰѣّᇒ୕۞ҡܴਕ

ૉჂд˘੓

.52

I12_R ໰᜕፟ၹᑕྍ೩ֻளّҝ͗ۤϹ߿જ۞፟ົ .43

࣎ˠ P7_R тڍԧ࿅˞ 65 ໐̝ޢĂ၆ԧ҃֏Ăّຑߏࢦࢋ۞ .94 .78 P8_R тڍԧ࿅˞ 65 ໐̝ޢĂԧ၆ّຑົຏᎸ኷ .80

P6_R тڍԧ࿅˞ 65 ໐̝ޢĂԧ̪ਕညѐᅅॡ˘ᇹֳצّຑ .51

!

!

!

(17)

၆ѐܜ۰ّၗޘ̝ณܑ൴ण

- 17 - ߓ 9/!!

Ҕԓ.௢ښᡑ໷ӱષ॓ೊᄣ्ߓ!

Я৵ ᗟཱི ᗟϫ Я৵࢑ఈณ

1 2 3 ܫޘ

೼ّ࿆

ၗޘ

GS33 ˘؆ଐߏ˘߱՟ѣຑଐ۞ّҖࠎĂ̙ࣃ଀ᐌܮဘྏ .87 .90 GS34_R ˘؆ଐߏ࣎ߊו፬˫ѣ኷۞ྼᑚ҃ຐΝဘྏ .81

GS36 ൑ڱ၆˘؆ଐ۞ޢڍٚፉయЇĂЯѩ̙ົဘྏ .77 GS37 ˘؆ଐߏ෍ંͷ̙྽ᇇ۞ّҖࠎĂЯѩ̙ຐ˵̙

ົဘྏ

.76

GS38 ൴ϠّҖࠎᅮдຑଐ۞ૄᖂ˯ .69 GS35_R ൴Ϡ˘؆ଐߏܑன፾ϲҋ͹۞፟ົ҃ຐΝဘྏ .68 ၆ѐܜ

۰೼࿆

ၗޘ

GO31 វऴкঽ۞ .87 .80

GO32 ৿ͻ߿˧۞ .81

GO29_R ઉ૵։р۞ .58

GO30 ̙੅ˠಈᝌ۞ .52

ۤົഇ ధّ

SD42 ԧᓁߏͽϒࢬ۞ၗޘֽࢬ၆΁ˠ۞Բෞ .76 .74 SD40 ԧᓁߏ෍͕ତצҾˠ၆ԧ۞Բෞ .80

SD41 ԧᓁߏͽ֗ү݋ .59

SD43 ࢋՐҾˠ۞ְԧ˘ؠАઇז .45

SD39 дЇңଐڶ˭ԧౌົАҽᐖޥ҂ޢ̖Җજ .45

ȞήȟȶᄈԒߞ޲ܓᄙ࡚ȷᇅȶ඾ႈܓ ᄙ࡚ȷڸȶᄈԒߞ޲඾ႈᄙ࡚ȷ ϟୣրਞ࡚ϸݚ

ࠎរᙋĶ၆ѐܜ۰ّၗޘķˬ࣎ၹ هᄃĶ၆ѐܜ۰೼࿆ၗޘķᄃĶ೼ّ࿆

ၗޘķكѩ̝มࠎ̙Т̝፾ϲၹهĂื

ซҖડҾड़ޘ̶ژĄώࡁտֹϡ Fornell ᄃ Larcker (1981)ѐٙ೩΍̝ĶAVE ᄃሕ дតี੨၆࠹ᙯࣃ̝ͧྵڱķĂࡶٙѣሕ д ត ี ۞ π ត ள ٩ פ ณ (AVE)࠰ ̂ ٺ ٙ ѣ࠹ᙯܼᇴ۞π͞Ă݋Ξͽᄲځၹه̝

ม׍ѣડҾड़ޘĄ̶ژඕڍពϯĂ̼͛ă ט ޘ ᄃ ࣎ ˠ ˬ ၹ ه ̝ AVE ࣃ ̬ ٺ .30

~ .59 ̝มĂ၆ѐܜ۰೼࿆ၗޘᄃ೼ّ࿆

ၗޘ̝ AVE ࣃ݋̶Ҿࠎ.51ă.60Ą̣࣎

ၹهكѩ̝ม࠹ᙯܼᇴ۞π̚͞Ă่͛

̼ ᄃ ט ޘ ۞ ࠹ ᙯ ܼ ᇴ π ͞ ࣃ ࠎ ྵ ̂

۞.81Ă׎ዶ R π͞݋̬ٺ.00 ~ .17 ̝ มĂЯѩĂٙѣၹه̝ AVE ࣃ̂ٺ̂ొ

̶̝࠹ᙯܼᇴπ͞ࣃĂ่̈ٺ̼͛ᄃט ޘ̝࠹ᙯܼᇴπ͞Ąѩ̶ژඕڍពϯĂ Ķ၆ѐܜ۰ّၗޘķ̝ˬၹهᄃĶ၆ѐ ܜ۰೼࿆ၗޘķăĶ೼ّ࿆ၗޘķΞෛࠎ

׍ѣડᏰड़ޘ̝፾ϲၹهĂ઱Ķ̼͛ķ ᄃĶטޘķ׌ၹهЯ࠹ᙯܼᇴ࿅੼ĂЯ ѩĂѩ׌ၹهдડᏰड़ޘ˯ื޺ܲ঻ၗ

ޘĄ

έȃᄇԑߝޱܒᄘ࡙Ϟ౪ݷᇄधශᡐ໶

৯౴

ȞΚȟඣख़ܓಜॏ

ώ ࡁ տ ̝ ѣ ड़ ᇹ ώ ѐ ᛬ ̶ ο ̬ ٺ 18 ~ 62 ໐ĂπӮѐ᛬ࠎ 27.45 ໐Ăᇾ໤

मࠎ 9.59Ąշّ 133 ˠẴّ 188 ˠĄ

(18)

ᅃጱᄃᏙથጯಡ

- 18 -

׎ዶតี̝ೡّࢗ௚ࢍྤफ़тܑ 9Ą

ߓ 9.

ඣख़ܓಜॏ

ၹه πӮᇴ ᇾ໤म

Бវ շ ̃ Бវ շ ̃

࣎ˠ 2.14 2.00 2.23 .54 .52 .54 טޘ 2.09 2.07 2.09 .41 .42 .41

̼͛ 1.88 1.87 1.89 .38 .40 .37 ၆ѐܜ۰೼࿆ၗޘ 2.24 2.23 2.25 .49 .52 .47

೼ّ࿆ၗޘ 2.83 2.59 3.00 .67 .66 .62

ۤົഇధ 2.87 2.92 2.84 .41 .40 .41

ȞΡȟनෂᡑ໷ϸݚ

ѩ̈༼੫၆Ķѐ᛬ķăĶّҾķăĶି

ֈ඀ޘķඈࡦഀតีซҖ̶ژĂᑭෛ఺

ֱ ࡦ ഀ ត ี ߏ ӎ ਕ ࿰ ീ Ķ ͛ ̼ ķăĶ ט ޘķăĶ࣎ˠķˬ࣎ၹهĂ֭૟Ķ၆ѐܜ ۰೼࿆ၗޘķăĶ೼ّ࿆ၗޘķͽ̈́Ķۤ

ົഇధّķ༊үଠטតีĄώࡁտ੫၆ Ķ̼͛ķăĶטޘķᄃĶ࣎ˠķซҖˬѨ ลᆸਫ਼ᕩ̶ژĂ֭૟ĶّҾķᄃĶିֈ

඀ޘķበቅࠎ෍ᑢតีĞշ = 1ẵ = 0ć̂ጯͽ˭ିֈ඀ޘ = 1ă̂ጯͽ˯ି

ֈ ඀ ޘ = 0ğĄ А ૟ Ķ ၆ ѐ ܜ ۰ ೼ ࿆ ၗ ޘķăĶ೼ّ࿆ၗޘķͽ̈́Ķۤົഇధّķ Ըˢડ๴˘၆ֶតีซҖྋᛖĂତ඾ٺ ડ๴˟ԸˢĶ၆ѐܜ۰೼࿆ၗޘķăĶ೼

ّ࿆ၗޘķăĶۤົഇధّķᄃĶࡦഀត

ีķĂᑭീдԸˢĶࡦഀតีķޢĂF ࣃ ߏӎѣព඾۞ԼតĄͽ˭ࠎˬ࣎ࡦഀត

ี۞̶ژĈ 1.ѐ᛬

дଠטĶ၆ѐܜ۰೼࿆ၗޘķăĶ೼

ّ࿆ၗޘķͽ̈́Ķۤົഇధّķˬ࣎ត

ีޢĂลᆸਫ਼ᕩ̶ژඕڍពϯĂѐ᛬ਕ ព඾࿰ീĶ̼͛ķၹهĞF ԼតĈ10.36Ă p = .001Ăȕ = .18ğᄃĶטޘķၹهĞF ԼតĈ10.72Ăp = .001Ăȕ = .18ğĄຍק

඾ѐࡔ෸̂Ăд̼͛ᄃטޘ۞ѐܜ۰ّ

ၗޘ˯෸࢑ШĄ 2.ّҾ

ͧྵշّ(n = 133)ᄃّ̃(n = 188) дˬ࣎ၹه˯ߏӎѣमளĂܑ 8 ពϯĂ

ّ̃дˬ࣎ၹه۞πӮᇴ࠰੼ٺշّĄ

҃ลᆸਫ਼ᕩ̶ژඕڍពϯĂдଠט˞Ķ၆ ѐܜ۰೼࿆ၗޘķăĶ೼ّ࿆ၗޘķͽ̈́

Ķۤົഇధّķ̝ޢĂ่дĶ࣎ˠķၹ ه˯ѣព඾࿰ീड़ڍĞF Լត = 4.79Ă!!

p = .03Ăȕ = -.12ğĄຍӈĂдˬ࣎ଠט តีА၆Ķ࣎ˠķၹهซҖྋᛖޢĂĶّ

Ҿķ̪ਕព඾࿰ീĶ࣎ˠķၹهĂͷ̃

ّдĶ࣎ˠķၹه˯Ă၆ѐܜ۰ّ̝ၗ

ޘĂព඾гྵշّ࢑ࢬĄ

(19)

၆ѐܜ۰ّၗޘ̝ณܑ൴ण

- 19 - 3.ିֈ඀ޘ

ѩ఍̶ژืপҾᄲځ۞ߏĂĶିֈ඀

ޘķ̚Ă̂ጯͽ˯ିֈ඀ޘᄃ੼̚ͽ˭

ି ֈ ඀ ޘ ̝ ˠ ᇴ ࠹ म ࿅ ̂ Ğ ̂ ጯ ͽ ˯ 299 ˠĂ੼̚ͽ˭ 22 ˠğĂЯѩĂώࡁ տڻϡౙࠃă੼ѠᓄĞ2009ğ۞ઇڱĂ

ଂᇹώᇴྵк۞௡Ҿ٩פ΍ᄃᇹώᇴ͌

۞௡Ҿ࠹Ҭ۞ˠᇴޢĂГซҖͧྵĂࡁ տ۰ֹϡ SPSS 20 హវ̝Ᏼፄ៍၅ࣃΑ ਕĂଂ̂ጯͽ˯ିֈ඀ޘ̝ 299 ˠ̚ᐌ

፟٩פ 30 ˠĄ

Ķିֈ඀ޘķ۞ลᆸਫ਼ᕩ̶ژඕڍ ពϯĄдଠט˞Ķ၆ѐܜ۰೼࿆ၗޘķă Ķ೼ّ࿆ၗޘķͽ̈́ĶۤົഇధّķޢĂ

ିֈ඀ޘ̪ਕព඾࿰ീĶ̼͛ķᄃĶט ޘķၹهĄдĶ̼͛ķၹه˯Ă੼̚ͽ

˭ିֈ඀ޘ۰၆ٺѐܜ۰۞ّၗޘĂព

඾ г ྵ ̂ ጯ ͽ ˯ ି ֈ ඀ ޘ ۰ Հ ࢑ ࢬ Ğ F Լត = 8.72Ăp = .005Ăȕ = .37ğćдĶט ޘ ķ ၹ ه ˯ Ă Ϻ Ӕ ன ࠹ Т ۞ ඕ ڍ Ğ F = 4.83Ăp = .03Ăȕ = .29ğćдĶ࣎ˠķၹ ه˯Ăିֈ඀ޘ݋՟ѣព඾࿰ീड़ڍĄ

ဓȃଆ፣

Ιȃ໔ߒี৤Ϟ౩፣ᇄᄺ܈ཎొ

ॲፂώࡁտඕڍពϯĂĶ၆ѐܜ۰۞

ّၗޘķࠎ፾ϲٺĶ೼ّ࿆ၗޘķᄃĶ၆ ѐܜ۰೼࿆ၗޘķ̝ၹهĄϺӈĂซҖ ᄃ၆ѐܜ۰ّၗޘѣᙯ۞ࡁտॡĂдᏴ ፄ׶ྻϡၹه˯Ăࡁտ۰̙ਕͽĶ೼࿆

ّၗޘķٕĶ၆ѐܜ۰೼࿆ၗޘķפ΃Ą ѩ൴ன̝ࢦࢋّдٺĂϏֽࡁտᑕͽĶ၆ ѐܜ۰۞ّķ఺࣎ໄهࠎૄᖂซҖޢᜈ

۞ؼҩᄃଯኢĂ೩̿ࡁտ۞ड़ޘĄ

҃ ώ ณ ܑ ͽ Collins (2002)ٙ ೩ ΍

̝ڡෛᄃᑅ࢝ˬลᆸநኢޙၹ҃јĂԛ јĶ̼͛ķăĶטޘķᄃĶ࣎ˠķˬᆸѨ ၆ ѐ ܜ ۰ ّ ၗ ޘ ၹ ه Ą གྷ ࿅ ௚ ࢍ ̶ ژ ޢ Ă ώ ࡁ տ Г ૟ ѩ ˬ ᆸ Ѩ ׍ វ ۞ ؠ ཌྷ ࠎĈдۤົ၆ѐܜ۰۞ّ̝ຍᙊԛၗᇆ ᜩ̝˭Ă̼͛ၹهࠎĶ࣎ˠٙ޺ѣ۞၆ ѐ ܜ ۰ ّ ̝ ೼ ࿆ ᆊ ࣃ ៍ ķć ט ޘ ၹ ه ࠎ Ķ࣎ˠ၆ᄃѐܜ۰ّ࠹ᙯ̝ۤົטޘă ڱ ఢ ٕ ఢ ቑ ۞ ၗ ޘ ķć ͽ ̈́ ࣎ ˠ ၹ ه ࠎ Ķ࣎ˠᏐ֗གྷរٙ̚ຏۢז၆ѐܜ۰۞

ّ۞ၗޘķĄ

Collins (2002)ડ̶ˬᆸѨڡෛၗޘ ॡĂԓ୕ਕՀ׍វणனˬ჌̙Тลᆸ۞

ڡෛၗޘĄЯѩĂώࡁտдޙၹˬ჌ၹ هॡĂڻϡ Collins (2002)۞ܐਾซҖˬ

჌ໄه۞ડ̶Ą൒̶҃ژඕڍពϯĂ͛

̼ᄃטޘ˯̝࠹ᙯܼᇴ࠹༊੼ĂдડᏰ ड़ޘ˯֭Ϗ྿࡭ᇾ໤Ăࡁտ۰ଯኢĂٕ

ధߏЯࠎࡁտᇹώ̂кࠎѐᅅ୉ཏĂЯ ѩ׎Ϡ߿གྷរΞਕᄃܜ໰ٕ໰᜕፟ၹ۞

טޘᆸࢬͧྵழᅈĂ҃टٽͽᇃھ̝͛

̼៍ᕇٕۤົᆊࣃүࠎטޘࢬߏӎྍ఺

ᇹઇ̝ҿᕝֶፂĂ֭ܧͽனҖטޘ̝న ཉซҖޥ҂Ăซ҃ጱ࡭ѩ࠹ᙯܼᇴ̝ې ڶĂϺߏώࡁտϓཏ٩ᇹ̝ࢨטĄ

ᔵѣ˯ࢗࢨטĂώࡁտ̪ᄮࠎĂд ᚑᖰ۞በᄦᄃனҖۤົ۞னڶ҂ณ˭Ă Ķ၆ѐܜ۰ّၗޘณܑķ̙ҭѣࢦࢋ۞

நኢֶፂĂϺ׍ѣ࠹༊඀ޘ۞၁ચᆊࣃĄ

Πȃ໔ߒϞ߬ਝ࡙Ϸݙ

ώࡁտͽშྮᄃ৽ώ׌჌ԛёซҖ

ྤफ़ᄓะĂᔵᄲצྏ۰д๱ඍშྮณܑ

ॡົצז۞ᒖဩᇆᜩ൑ڱଠטĂ˵Ξਕ Яѩᇆᜩયס۞ܫड़ޘĂҭώࡁտ౅࿅

ീᓿᗟ۞͞ёᆶຕ࣢ੵΞਕд๱ඍॡᐌ

(20)

ᅃጱᄃᏙથጯಡ

- 20 - ຍ๱ඍ̝צྏ۰ĂЯѩώࡁտ̝ඕڍ̪

࠹༊׍ѣણ҂ّĄѩγĂώࡁտ̝Ķ၆ ѐܜ۰ၗޘณܑķ൴ण࿅඀ᚑᖰĂࡁտ ۰૟࿅ـĶ၆ѐܜ۰ّၗޘķ̝࠹ᙯᗟ

ี ৼ ˢ Collins (1993)ٙ ೩ ΍ ̝ ڡ ෛ ᄃ ᑅ࢝ˬลᆸநኢ̚Ăྏဦឰ࿅ـࡁտ̚

࿬೸ͷ൑ඕၹ۞ᗟีՀ׍ѣநኢߛၹ˯

۞ຍஉĄЯѩẶҜࡁտ۰ᚑᖰгͧ၆

࿅ـᗟีᄃநኢ̝ม۞˘࡭ّĂ֭ΐ˯

ࡁտ۰˘Т൴ຐ̝ҋበᗟีĂ౵௣೩΍

၆ѐܜ۰ّၗޘ۞ˬЯ৵ߛၹĄࡁտ̝

ซ඀Аͽ 222 Ҝણᄃ۰ࠎ࿰ྏᇹώซҖ ܐՎ̶ژĞΒ߁ีϫ̶ژăܫޘ̶ژă ଣ৶ّЯ৵̶ژᄃរᙋّЯ৵̶ژğĂͽ ቁؠώณܑ̝ܫड़ޘĄତ඾ͽ࿰ྏ̝ඕ ڍࠎૄᖂซ˘ՎซҖϒё߉ീĂͽ 321 Ҝϒё۞ѣड़ᇹώĂซҖរᙋّЯ৵̶

ژᄃኑ८ड़̼Ăͽቁᄮώณܑ̝ޙၹड़ ޘĄЯѩĂώࡁտ̝Ķ၆ѐܜ۰ّၗޘ ณܑķˬЯ৵ඕၹĂ၆ٺ˞ྋ˘ਠ̂ி

၆ѐܜ۰۞ّၗޘ׍ѣણ҂ᆊࣃĄ ώࡁտٙ൴ण̝Ķ၆ѐܜ۰ّၗޘ ณܑķ׍ѣ։р۞ܫޘᄃड़ޘĂ֭ᏉЪ White ᄃ Catania (1982) ٙ ൴ ण ̝ ASKAS ณܑᄃ Walker ඈˠ (1998)ѐٙ

൴ण̝ KATES ณܑĄ

έȃ౪ݷϷݙ

ଠט˞Ķ೼ّ࿆ၗޘķᄃĶ၆ѐܜ ۰۞೼࿆ၗޘķ఺׌࣎Я̄ޢĂд̼͛

̈́טޘᆸࢬ˯ĂĶ၆ѐܜ۰۞ّၗޘķົ

Яѐ᛬ᄃିֈ඀ޘѣٙमҾĄѐ᛬۞̶

ژඕڍពϯĂѐ᛬෸̂۞ˠĂ׎д̼͛

ၹهᄃטޘၹه˯Ķ၆ѐܜ۰۞ّၗޘķ

ົ෸࢑ШĂҭѐ᛬൑ڱ࿰ീ࣎ˠၹه˯

Ķ၆ѐܜ۰۞ّၗޘķĄಶநኢ៍̝Ăѐ

ࡔྵᅅ۰၆ѐܜ۰̝ၗޘᑕྵѐࡔྵܜ ۰ ࢑ ࢬ (Rupp, Vodanovich, & Credé, 2005)Ă࿅ـࡁտϺ͚޺ѩ៍ᕇĞRupp et al., 2005 ć ӕ ͽ ၷ Ă 2006 ć เ ᐅ ̋ Ă 2009ğĄ൒҃Ăࡶߏჸ൏ٺ၆ѐܜ۰۞ّ

ၗޘĂ࿅Νࡁտ݋՟ѣ˘࡭۞ඕڍĄొ

̶ࡁտ൴னྵѐᅅ۰၆ٺѐܜ۰۞ّၗ

ޘ೼࿆ϒШĂ҃ొ̶ࡁտ݋൴னྵѐᅅ ۰ ၆ ٺ ѐ ܜ ۰ ̝ ̰ ᔳ ّ ၗ ޘ Ϻ ઐ ࢑ Ш (Gewirtz-Meydan et al., 2018)Ą

ώࡁտᄮࠎĂѩࡁտ˯۞मளΞϤ Ķ၆ѐܜ۰۞ّၗޘķࠎ˘፾ϲໄهྋ ᛖ Ă ώ ࡁ տ ̝ ࡁ տ ඕ ڍ Ϻ ͚ ޺ ѩ ˘ ଯ ኢ Ą ੵ ѩ ̝ γ Ă Gewirtz-Meydan ඈ ˠ (2018)ଯ ኢ Ă Ξ ਕ ߏ ྵ ѐ ᅅ ۰ ၆ ٺ ѐ ܜ ۰۞ّၗޘ้Шග΍Ķ߆ڼϒቁķ۞а ඍĄώࡁտᄮТ݈ࢗଯኢĂ၆ٺѐܜ۰

۞ّĂྵѐᅅ۰Ξਕົഇధҋ̎۞ၗޘ ߏϒШ۞Ăᔵώࡁտѣ੫၆Ķۤົഇధķ ซҖଠטĂҭΞਕ൑ڱԆБଵੵѐᅅ۰

̝ۤົഇధ้Ш۞ᇆᜩĄЯѩĂଂ˯ࢗ

аᜪΞۢĂࡶߏ੫၆Ķ၆ѐܜ۰೼࿆ၗ

ޘķซҖአߤĂѐᅅ୉ཏ࠹ྵٺ̚੼᛬

୉ཏĂ၆ѐܜ۰ົ޺ྵ࢑ࢬၗޘĂ҃ࡶ

ߏ੫၆Ķ၆ѐܜ۰ّ۞ၗޘķซҖአߤĂ ѐᅅ୉ཏ݋ΞਕЯۤົഇధᄃ߆ڼϒቁ

۞ᇆᜩĂ้҃ШٺϒШၗޘĄώࡁտ૟

Ķ၆ѐܜ۰ّၗޘķ፾ϲĂ֭በᄦј׍

ѣ։рޙၹड़ޘ̝યסĂ҃дĶѐ᛬ķ

۞̶ژඕڍϺᄃ࿅ـొ̶၆ѐܜ۰ّၗ

ޘ۞ࡁտඕڍӚЪĂຍӈĶ၆ѐܜ۰۞

ّၗޘķᑕଂĶ၆ѐܜ۰೼࿆ၗޘķડ

̶΍ֽүࠎ˘࣎፾ϲ۞ၹهĂ˵௑Ъώ ࡁտ̝ϫ۞ᄃ؟ўĄ

ѩγĂିֈ඀ޘࠎ੼̚Ğӣğͽ˭

۞צྏ۰Ă׎Ķ၆ѐܜ۰۞ّၗޘķͧ

(21)

၆ѐܜ۰ّၗޘ̝ณܑ൴ण

- 21 -

ିֈ඀ޘ̂ጯĞӣğͽ˯۞צྏ۰࢑ШĄ เϜඈˠ炷2012炸ࡁտ̚൴னିֈ඀ޘ ၆ ٺ ѐ ܜ ۰ ّ Җ ࠎ ̝ ܑ ன Ϻ ົ ѣ ٙ ᇆ ᜩĂᄂ៉ϔܸ̼͛༊̚ــᄮࠎѐܜ۰

۞ّҖࠎٽ๋֗Ăّ҃ିֈــ̙జି

ֈனಞࢦෛĄੵѩ̝γĂώࡁտᄮࠎᄂ

៉ିֈд̂ጯͽ݈඾ࢦٺጯ௫ಏ˘۞ኝ ώିՄĂ҃̂ጯޢ̖ฟؕ൴णкّ̮ᄃ Բҿّ۞ޥ҂Ăିֈ඀ޘດ੼Ăᒔ଀۞

ّۢᙊྵࠎϒቁΐ˯͕ം˯ྵࠎјሢĂ Яѩдѐܜ۰ّၗޘ˯ྵࠎϒШĄ

ੵѩ̝γĂିֈ඀ޘᄃѐ᛬֭Ϗд

࣎ ˠ ᆸ ࢬ ၆ ѐ ܜ ۰ ۞ ّ ၗ ޘ ˯ ౄ ј म ளĄϺӈĂିֈ඀ޘ۞੼Ҳᄃѐ᛬۞̂

̙֭̈ົᇆᜩܧѐܜ۰࿰ീҋ̎ѐҁޢ

۞ّၗޘĄౄјѩඕڍ۞ࣧЯΞਕߏЯ ࠎצྏ۰д၆΁ˠ۞ၗޘ˯Ă้Ш௑Ъ

ۤົഇޞĂҭ၆ٺҋ֗۞ၗޘ݋̪ᖞ൑

ڱᕚ௲ᄮࠎĶѐܜ۰൑ّķ۞ၗޘĄ൒

҃ Ă ԧ ࣇ ٺ ̶ ژ ॡ ̏ ଠ ט ˞ ۤ ົ ഇ ధ

ّĂ߇ώඕڍᑕ̙ົצזۤົഇధ۞ᇆ ᜩĄЯѩĂώࡁտᄮࠎĂۤົഇధّณ

ܑѣ׎ࢨטĄྍณܑΪਕീณצྏ۰ߏ ӎѣۤົഇధّ۞้ШĂ̙҃ਕീณ࣎

ˠ۞ۤົഇధ̝̰உĄ˵ಶߏᄲĂ̙Т

۞ିֈ඀ޘٕѐ᛬၆ٺҁˠ۞ّၗޘѣ

̙Т۞ۤົഇధ̰உĂ҃ԧࣇٙਕീ଀

۞่ࠎ࣎វߏӎѣ௑Ъ׎ҋ֗វᄮ̝ۤ

ົഇధّ۞้ШĄ࣐ࡶ̙Тѐ᛬ăିֈ

඀ޘ۰វᄮ۞ۤົഇధ׍ѣमளĂᓂֹ

ଠט׎ۤົഇధّĂԧࣇ̪൑ڱᄲۤົ

ഇధّಶѩଠטĂ҃଀ͽซҖޢᜈ੅ኢ ᄃ̶ژĄЯѩĂώࡁտٙᏴፄ̝ۤົഇ ధّณܑٕధ̙֭ዋϡٺፖྭ̂ቑಛ̝

ѐ᛬ᄃିֈ඀ޘ۞ᇹώĂ఺ߏώࡁտѣ

ٙࢨט۞г͞ĂϺԓ୕Ϗֽ۞ࡁտ۰ٕ

ధਕഈѩ͞ШՀஎˢ۞ଣ৶Ą

ಶّҾ҃֏Ăд࣎ˠᆸࢬ˯Ẵّ

۞ ၗ ޘ ྵ շ ّ ၗ ޘ Հ ࠎ ࢑ Ш Ą т ݈ ٙ

ࢗĂ࣎ˠᆸࢬ۞̶ณܑ̝̰टࠎܧѐܜ ۰࿰ീҋ̎ѐҁޢ۞ّҖࠎ두ՐĄЯ ѩĂΞͽྋᛖࠎ࠹ྵٺշّẴّՀ้

Шٺᄮࠎҋ̎ѐҁޢົߏ൑ّ۞Ą҃࿅

ـࡁտ၇၇ᙋځĂۤົ၆ѐܜ۰۞גڕ О෪ࠎ൑ّ۞Ă͍ͽ၆ّ̃ѐܜ۰ࠎ౵

(Lai & Hynie, 2011)ĄЯѩĂଂ఺ᇹ۞ඕ ڍԧࣇΞͽଯኢ΍Ăଵੵ˞Ķ೼ّ࿆ၗ

ޘķᄃĶ၆ѐܜ۰೼࿆ၗޘķ۞ᇆᜩޢĂ ܧѐܜ۰۞ّٕ̃ధ̰̼˞ۤົ۞ᆊࣃ

៍ĂЯ҃ྵշّՀ၆ҋ̎ѐҁޢ۞ّٱ

޺ྵঐໂ۞ၗޘĄ

ӂȃ๖፣ᇄ࡚ដ Ιȃ๖፣

ᐌ඾੼᛬̼ۤົ۞൴णĂѐܜ۰۞

ઉ૵ᄃܜഇ໰᜕ᛉᗟ෸ֽ෸צזࢦෛĄ

൒҃Ăଂۤົϒཌྷ۞֎ޘֽ࠻Ăѐܜ۰

۞גڕО෪ᄃڡෛ̙֭צזࢦෛĄტ៍

઼̰۞߆ඉăڱఢᄃࡁտĂഴቤѐܜ۰ ڡෛҬͼ̙ߏ߉߆۰ᄃࡁտ۰ჸ൏۞͞

ШĂࠤҌΞͽᄲĂέ៉೼࿆՟ѣĶѐܜ ۰ڡෛķன෪۞ᛇ၅ᄃВᙊĂ҃׎̚˫

ͽ၆ѐܜ۰۞Ķّķ۞ၗޘࠎ౵ĄЯѩĂ ώࡁտϫ۞ѣˬĈ(1)ώࡁտޙၹ˞઼̰

ௐ˘Њࡁտѐܜ۰ّၗޘ۞ณܑĄॲፂ ณܑޙၹ۞࿅඀ᄃඕڍĂώࡁտᄮࠎĂ Ķ၆ѐܜ۰ّ̝ၗޘķᑕдࡁտᄃநኢ ޥᏰ˯Ăజෛࠎ˘࣎፾ϲ۞ໄهĄώࡁ տ ֭ ૟ ѩ ໄ ه ֶ ፂ Collins (2002)۞ ந ኢĂ૟έ៉ۤົ၆ѐܜ۰۞ّ۞ຍᙊԛ

ၗĂ౅࿅࣎ˠ۞ᆊࣃ៍Ă׍វгд̼͛ă

(22)

ᅃጱᄃᏙથጯಡ

- 22 - טޘᄃ࣎ˠᆸࢬˬ࣎ᆸѨ˯ć(2)ࡁտ۰

ഇధĶ၆ѐܜ۰ّၗޘķณܑਕྻϡٺ ѐܜ۰໰᜕૞ຽˠࣶ̝ҋԧᑭ८ᄃିֈ

੊ ቚ ˯ Ă ͽ Հ Ԇ ච ၆ ѐ ܜ ۰ ̝ ໰ ᜕ ڇ ચć(3)ώࡁտဘྏд၆ѐܜ۰ّ̝ၗޘ ࡁտᅳા̚ྭ΍˘̈ՎĂͽഇՀԆፋѐ ܜ۰͕֗໰᜕̝࠹ᙯࡁտĄ

ώࡁտഇਕᖣѩ٦᎑͔ϜĂו፬࠹

ᙯᛉᗟ۞ࡁտᄃ߆ඉ੅ኢĂឰѐܜ۰۞

ّᛉᗟצזࢦෛĂͽԆචѐܜ۰͕֗໰

᜕̍үĂ̏྿ώࡁտ࣍ᛉѐܜ۰ّ۞ࢦ

ࢋّ̝ϫ۞Ą

Πȃ࡚ដ

ޙ ᛉ Ϗ ֽ ۞ ࡁ տ ۰ ͽ ώ ࡁ տ ࠎ ૄ ᖂĂ౅࿅Հᚑᖰг٩ᇹĂ޺ᜈ൴णֹѩ ณ ܑ Հ Ԇ ፋ Ă ٕ ߏ ͽ ѩ ณ ܑ ̝ ந ኢ ၹ هĂซҖѐܜ۰۞ّ̝࠹ᙯࡁտĄ֭ޙ ᛉ၁ચ̍ү۰ϏֽΞͽֹϡѩณܑซҖ ѐܜ۰ّၗޘ̝ҋԧᑭ८Ăϡͽᛇ၅ҋ

֗၆ѐܜ۰۞ّၗޘגڕО෪඀ޘć҃

࠹ᙯܜ໰ಏҜϺΞᖣѩณܑ၆࠹ᙯ૞ຽ

̍үˠࣶซҖ࠹ᙯ߉ീͽӀѐܜ۰໰ᜪ

ିֈ੊ቚ̝ኝ඀ఢထĂᆧซѐܜ۰д໰

᜕፟ၹ̚۞Ϡ߿ݡኳĄ

ചȃंـ३ڙ

ώณܑ୬నࢍ̟˘ਠ̂ி߉ϡĂҭ ϒё߉ീॡĂЯྤ໚˯ѣٙࢨטĂ߇ࡁ տ ણ ᄃ ۰ ֭ ܧ ౅ ࿅ ᐌ ፟ ٩ ᇹ Ă ׎ ̚ 30 ໐ͽ˭۞צྏ۰ҫ˞ 78.2%Ąͷϒё߉

ീ̝યס̂к౅࿅შྮયסซҖአߤĂ

൑ڱ଀ۢצྏ۰۞гડĂͽ̈́צྏ۰̂

кࠎĶົֹϡ࿪ཝ̈́შྮķ۞୉ཏĂЯ ѩᇹώΞਕົ׍౯পؠ۞ّኳĂ҃൑ڱ ԆБͅߍϓཏ۞পّĄѩγĂშྮયס

๱ඍॡߏӎѣ׎΁ᒖဩЯ৵̒ᕘĂ˵ߏ ࡁտ۰൑ڱೠ೪۞Я৵ĄГ۰Ăѩ٩ᇹ ඕڍ֭൑ڱԆБͅߍϓཏវ۞̶οĄѩ ࢨטΞਕౄјϏֹֽϡώณܑซҖϓវ ଯኢॡĂืՀΐܲ঻ĄޙᛉϏֽ۞ࡁտ ͽώࡁտనࢍ̝ณܑࠎૄᖂĂઇՀᚑᖰ

۞٩ᇹĄ

Ω˘ࢨטдٺĂనࢍώࡁտॡĂĶ͛

̼ķăĶטޘķăᄃĶ࣎ˠķၹه̝ፆүّ

ؠཌྷ̙ૉځቁĂѩͅߍٺរᙋ̶ّژ̝

ඕڍĂ̼͛ၹهᄃטޘၹهม࠹ᙯܼᇴ

࿅੼ĂડᏰड़ޘ̝រᙋ˵Ϗ྿ᇾ໤Ăѩ ඕ ڍ ຍ ק ඾ ఺ ׌ ၹ ه д ડ Ᏸ ˯ ֭ ̙ ट ٽĄࡁտ۰ᄮࠎĂώࡁտ̝ᇹώ̂кࠎ ѐᅅ୉ཏĂ҃Ķטޘķၹه̝̰உ̂к ࠎ໰᜕፟ၹᄃܜ໰טޘĂ၆ѐᅅ୉ཏ۞

Ϡ߿གྷរ҃֏ྵࠎழᅈĂЯѩĂдĶט ޘķၹه˯ĂΞਕटٽ้Шٺͽྵࠎᇃ ھ۞ᆊࣃ៍ֽซҖҿᕝĂ˵ֹ଀Ķטޘķ ᄃĶ̼͛ķ׌ၹه̝ม࠹ᙯྵ੼Ąѩඕ ڍϺࠎ٩ᇹઐमٙጱ࡭۞Ą

ੵѩ̝γĂтТ੅ኢ˘༼ٙࢗ̚Ă Ķ၆ѐܜ۰ّၗޘķ۞ۤົഇధّȈ̶

ኑᗔĂώࡁտ۞Ω˘ࢨטࠎҬͼ൑ڱԆ Бଵੵۤົഇధّ۞ᇆᜩĄ҃тңϒቁ

۞ീณ̙Т୉ཏ၆ٺѐܜ۰ّၗޘ۞ۤ

ົഇధ̰உĂͷ૟̝ଵੵĂࠎϏֽࡁտ Ξͽஎˢଣ৶۞͞ШĄ

ќቇ͟ഇĈ108.11.02

఼࿅Ώ൳͟ഇĈ109.05.05

(23)

၆ѐܜ۰ّၗޘ̝ณܑ൴ण

- 23 -

୤ՃМᝦ ϜНഌϸ!

ҁˠ჊ӀڱĞ2015 ѐ 12 ͡ 09 ͟ğĄ Ѧୁ⚻ăͳᐖڑĞ2012ğĄ᜕நጯϠ۞ҁ

ѐّۢᙊᄃၗޘனڶଣ੅Ą᜕᜕நၱ

ઉ૵໰᜕ࡁտĂ8(4)Ă306-315Ądoi:

10.6225/JNHR.08.4.306

Җ ߆ ੰ ̰ ߆ ొ ௚ ࢍ ఍ Ğ 2018ğĄ ˠˠ ˾ ˬ

߱ѐ᛬௡ˠᇴĄ2018 ѐ 11 ͡ 31 ͟ Ăפҋ https://www.moi.gov.tw/stat/

chart.aspx

ӕͽၷĞ2006ğĄҁă̚ăܦˬ΃၆ҁˠ גڕО෪̝አߤ-ͽέݑξࠎּĄᄂᄂ

៉ҁˠܲઉጯΏĂ2(2)Ă90-104Ą ӓځษĞ2009ğĄඕඕၹ͞඀ሀёĈAMOS

۞ፆүᄃᑕϡĄᄂΔĈ̣ݑĄ ӓځษăἪܛૅĞ2008ğĄSPSS ᄃ௚ࢍ

ᑕϡ̶ژĄᄂΔĈ̣ݑĄ

ڒ࡚ࠡĞ1993ğĄ̂ጯϠ၆ҁˠၗޘ̝ࡁ տĄିିֈᄃ͕நࡁտĂ16Ă349-383Ą ڒጏӖĞ2006ğĄ̂ጯϠТጓّྖᗟ̢જ

ᄃّၗޘ࠹ᙯЯ৵̝ࡁտǕͽέݑ г ડ ࠎ ּ Ą ᗁᗁ ᜕ ࡊ ԫ ഇ Ώ Ă 8(1)Ă 46-64 Ą doi:10.6563/TJHS.2006.

8(1).5

ౙࠃă੼ѠᓄĞ2009ğĄᄂ៉ϔி၆ҁˠ

۞ၗޘĈณܑ൴णᄃܫड़ޘܐଣĄ

ିֈᄃ͕நࡁտĂ32(1)Ă147-171Ą

઼ छ ൴ ण ؎ ࣶ ົ Ğ 2018ğĄ ࢦࢦ ࢋ ௚ ࢍ ྤ फ़͘ΊĄ2018 ѐ 11 ͡ 31 ͟Ăפҋ https://www.ndc.gov.tw/Content_Lis t.aspx?n=507E4787819DDCE6

เϜăเۘႴăՂ્බăᛂ࢐༈ăᔁߋ ႕Ğ2012ğĄލڌгડ澂濜ˠّۢ灊 ᄃّၗ灏̈́׎࠹ᙯЯ৵̝ଣ੅Ąᄂᄂ

៉ ҁ ѐ ᗁ ጯ ၱ ҁ ѐ ጯ ᗔ ᄫ Ă 7(2)Ă 128-138 Ą doi:10.29461/TGG.

201205.0006

เؠ؏Ğ1995ğĄ၆ҁѐˠ۞ّۢᙊّ̈́

ၗޘአߤಡӘĄέέ៉ّጯጯΏĂ1(1) Ă104-113Ą

เ ۾ ᅛ Ğ 2004ğĄ ۤۤ ົ ࡊ ጯ ௚ ࢍ ͞ ڱ ጯ Ĉඕၹ͞඀ሀёĄᄂΔĈ̣ݑĄ เᐅ̋Ğ2009ğĄ̙Тѐ᛬ᆸϔி၆੼᛬

۰О෪̝ͧྵࡁտĄјјˠ̈́௣֗ି

ֈጯΏĂ12Ă1-39Ą

ၐ ࠠ ፷ Ğ 2000ğĄ έέ ៉ ώ ˿ ۤ ົ ៙ ధ ณ

ܑ̝በᄦ̈́׎͕ந።඀̶ژĄ઼ϲ έ៉̂ጯ͕நጯࡁտٙჇ̀ኢ͛Ă Ϗ΍ۍĂᄂΔĄ

ᔁᚊࡓĞ1996ğĄ໤Ꮩથࣶ၆ҁˠ۞ၗޘ ăଂְҁˠᏙથຍᜪăٙצ૞ຽ੊

ቚ̈́׎ϏֽҁѐϠ߿ၗޘ̝ࡁտĄ

̚රᅃጱጯಡĂ4Ă95-118Ą

़МഋϷ

Allen, K. R., & Roberto, K. A. (2009).

From sexism to sexy: Challenging young adults’ Ageism about older women’s sexuality. Sexuality Re- search and Social Policy Journal of NSRC, 6(4), 13-24. doi:10.1525/

srsp.2009.6.4.13

(24)

ᅃጱᄃᏙથጯಡ

- 24 - Ayalon, L., & Tesch-Roሷmer, C. (2018).

Introduction to the section: Ageism concept and origins. In Ayalon, L., Tesch-Roሷmer, C. (Eds.), Contempo- rary Perspectives on Ageism (pp.

1-10). Switzerland: Springer Inter- national Publishing AG part of Springer Nature. doi:10.1007/978-3- 319-3820-8_1

Beckman, N., Waern, M., Gustafson, D.,

& Skoog, I. (2008). Secular trends in self-reported sexual activity and satisfaction in Swedish 70 year olds:

Cross sectional survey of four po- pulations, 1971-2001. British Medi- cal Journal, 337:a279. doi:10.1136/

bmj.a279

Butler, R. N. (1969). Ageism: Another form of bigotry. The Gerontologist, 9, 243-246. doi:10.1093/geront/9.4_

Part_1. 243

Butler, R. N. (1980). Ageism: A fore- word. Journal of Social Issues, 36, 8-11. doi:10.1111/j.1540-4560.1980.

tb02018.x.

Collins, P. H. (1993). Toward a new vi- sion. race, class, and gender as ca- tegories of analysis and connection.

Race, Sex & Class, 1, 25-45.

Collins, P. H. (2002). Black feminist thought: Knowledge, consciousness, and the politics of empowerment.

New York: Routledge. doi:10.2307/

2074808

Fornell, C., & Larcker, D. F. (1981).

Structural equation models with unobservable variables and mea- surement error. Algebra and statis- tics. Journal of marketing research, 18(3), 382-388. doi:10.2307/

3150980

Floyd, M., & Weiss, L. (2001). Sex andaging: A survey of young adults.

Journal of Sex Education and Ther- apy, 26(2), 133-139. doi:10.1080/

01614576.2001.11074393

Gewirtz.Meydan, A., & Ayalon, L.

(2017). Physicians' response to sex- ual dyfunction presented by a younger vs. an older adult. Interna- tional Journal of Geriatric Psychia- try, 32(12), 1476-1483. doi:10.1002/

gps.4638

Gewirtz®Meydan, A., Hafford-Letchield, T., Benyamini, Y., Phelan, A., Jac- son, J., & Ayalon, L. (2018). Agism and sexuality. In Ayalon, L., TechRoሷmer, C. (Eds.), Contempo- rary Perspectives on Ageism (pp.

149-162). Berlin, Gemany: Springer Open. doi:10.1007/978-3-319- 73820-8_10

Hair, J. F., Anderson, R. E., Tatham, R.

L., & Black, W. C. (1998). Multi- variate data analysis. Upper Saddle River, New Jercy: Prentice-Hall.

Hair, J. F., Black, W. C., Babin, B. J., Anderson, R. E., & Tatham, R. L.

(2006). Multivariate data analysis (6th ed.). New Jersey: Prentice-Hall.

(25)

၆ѐܜ۰ّၗޘ̝ณܑ൴ण

- 25 - Hooper, D., Coughlan, J., & Mullen, M.

(2008). Structural equation model- ling: Guidelines for determining model fit. Electronic Journal of Business Research Methods, 6(1), 53-60.

Lai, Y., & Hynie, M. (2011). A tale of two standards: An examination of young adults’ endorsement of gendered and ageist sexual double standards. Sex Roles, 64(5-6), 360-371. doi:10.

1007/s11199-010-9896-x

Lindau, S. T., & Gavrilova, N. (2010).

Sex, health, and years of sexually active life gained due to good health: Evidence from two US po- pulation based cross sectional sur- veys of ageing. British Medical Journal, 340, c810. doi:10.1136/

bmj.c810

Mahieu, L., de Casterlé B. D., Acke, J., Vandermarliere, H., Van Elssen, K., Fieuws, S., & Gastmans, C. (2016).

Nurses’ knowledge and attitudes toward aged sexuality in Flemish nursing homes. Nursing Ethics, 23(6), 605-623. doi:10.1177/

0969733015580813

Masters, W. H., & Johnson, V. E. (1966).

Human sexual response. Boston, MA: Little, Brown and Company.

Okoye, U. O. (2004). Knowledge of ag- ing among secondary school stu- dents in South-Eastern Nigeria. E- ducational Gerontology. 30, 481-

489. doi:10.1080/

03601270490445096

Palmore, E. (2000). Ageism in Geronto- logical language. The Gerontologi- cal Society of America. 40(6), 645.

doi:10.1093/geront/40.6.645

Rupp, D. E., Vodanovich, S. J., & Credé, M. (2005). The multidimensional nature of Ageism: Construct validity and group differences. The Journal of Social Psychology. 145 (3), 335- 362. doi:10.3200/SOCP.145.3.335- 362

Utsey, S. O., & Ponterotto, J. G. (1996).

Development and validation of the Index of Race-Related Stress (IR- RS). Journal of Counseling Psy- chology, 43(4), 490. doi:10.1037/

0022-0167.43.4.490

Walker, B. L., & Harrington, D. (2002).

Effects of staff training on staff knowledge and attitudes about sex- uality. Educational Gerontology, 28(8), 639-654.

Walker, B. L., Osgood, N. J., Richardson, J. P., & Ephross, P. H. (1998). Staff and elderly knowledge and attitudes toward elderly sexuality. Educa- tional Gerontology, 24(5), 471-489.

doi:10.1080/03601270290081452

(26)

ᅃጱᄃᏙથጯಡ

- 26 - White, C. B., & Catania, J. (1982). Psy-

choeducational intervention for sexuality with the aged, family members of the aged, and people who work with the aged. Interna- tional Journal of Aging and Human Development, 15, 121-138. doi:10.

2190/NB3K-P604-U5XE-TEJ0

Wyman, M. F., Shiovitz-Ezra, S., &

Bengel, J. (2018). Ageism in the health care system: Providers, pa- tients, and systems. In Ayalon L., &

Tesch-Römer, C. (Eds.) Contempo- rary perspectives on Ageism (pp.

193-213). Berlin, Germany: Spring- er Open. doi:10.1007/978-3-319- 73820-8_13

Yen, C. H., Liao, W. C., Chen, Y. R., Kao, M. C., Lee, M. C., & Wang, C. C.

(2009). A Chinese version of Ko- gan's attitude toward older people scale: Reliability and validity a- ssessment. International Journal of Nursing Studies, 46(1), 38-44. doi:

10.1016/j.ijnurstu.2008.05.004

(27)

၆ѐܜ۰ّၗޘ̝ณܑ൴ण

- 27 -

The Attitude toward the Sexuality of Elderly: Scale Development

Wen-Pu Cheng Yu-Chieh Hung Chun-Yi Wu Pin-Siou Du Yu-Hsin Lin

Abstract

This study aims at developing the scale of attitude toward sexuality of the el- derly. Item analysis, reliability analysis, factor analysis, and confirmatory analysis were conducted to analyze the pretest samples of 222 participants. The final survey of 370 participants was then analyzed by confirmatory analysis. The finding of this study suggests that the scale is a good-fitting model. A 26-item assessment, con- sisting of three subscales, including cultural, institutional, and personal dimension, is eventually constructed. In addition, the discriminant validity was examined. The result indicates that the attitude toward sexuality of the elderly should be consi- dered to be a theoretically independent concept. Based on the above analysis, the scale of attitude toward elderly sexuality is a three-scale instrument with good re- liability and validity. This instrument could be utilized to measure the general pu- blic’s attitude toward the sexuality of the elderly, and be served as a useful tool for helping professionals to self-examine their attitudes.

Keywords: ageism, attitude toward sexuality, development of instrument, elderly, structural equation modeling (SEM)

Wen-Pu Cheng Department of Guidance and Counseling, National Changhua University of Education

Yu-Chieh Hung Department of Guidance and Counseling, National Changhua University of Education

Chun-Yi Wu Department of Guidance and Counseling, National Changhua University of Education ([email protected])

Pin-Siou Du Department of Guidance and Counseling, National Changhua University of Education

Yu-Hsin Lin Department of Guidance and Counseling, National Changhua University of Education

(28)

ᅃጱᄃᏙથጯಡ

- 28 - ܢᐂ˘ ၆ѐܜ۰ّၗޘณܑ

ᄇԑߝޱᄘ࡙ᇄቋ঄ᢎ୰ڢ

ぐ⤥烉ġ ġ

ġ デ嫅ぐ⠓⮓㬌⓷⌟炻㛔⓷⌟ᷣ天㗗゛Ḯ妋ぐ⮵㕤⸜攟侭⿏

㕡朊䘬ン⹎冯₡ῤ奨ˤ劍ぐ⸜㺧 IJĹ 㬚ᶼ㛒㺧 ķĶ 㬚炻⇯婈㐗怨婳 ぐ⠓⮓㬌⓷⌟ˤ㛔⓷⌟㇨㊯䧙ˬ⸜攟侭˭䁢⸜漉 ķĶ 㬚ẍᶲ侭烊 ˬ䄏 嬟㨇㥳˭䁢侩⸜Ṣ⬱梲㨇㥳ˤ㛔⓷⌟䲬⌈䓐ぐ IJıĮIJĶ ↮揀炻⓷⌟屯 㕁⬴ℐ⋧⎵炻ὃ㛔䞼䨞↮㜸炻䳽ᶵ㚫䃉㓭⢾㳩ˤġ

㛔⓷⌟䘬⠓䫼㰺㚱㧁㸾䫼㟰炻婳ぐὅ䄏冒⶙䘬䴻槿冯デ⍿ἄ 䫼炻怠㑯㚨䫎⎰䘬怠枭⌛⎗炻ℵ㫉デ嫅ぐ䘬⍫冯炻㔔䤅⸛⬱枮⇑ˤ

ġ

⚳䩳⼘⊾ⷓ䭬⣏⬠ġ 庼⮶冯媖⓮⬠䲣ġ

≑䎮㔁㌰ġ 叱⿉Ởġ

䡑⢓䞼䨞䓇ġ ⏛ὲ忠ˣ惕暗䑆ˣ㳒懢‹ˣ㜿䣸㫮ˣ㜄⑩䥨ġ

㔔ᶲġ

(29)

၆ѐܜ۰ّၗޘ̝ณܑ൴ण

- 29 - 1. ぐ㗗⏎㚱奒Ⱄỷ忶䄏嬟㨇㥳烎

Ƒ㗗 Ƒ⏎

2. ぐ㗗⏎㚱 65 㬚ẍᶲ䘬奒Ⱄ烎 Ƒ㗗 Ƒ⏎

3. ぐ㗗⏎㑼ả忶⭞ᷕ攟廑䘬ᷣ天䄏栏侭烎 Ƒ㗗 Ƒ⏎

ͽ˭ᗟϫኛ޷໰ଋ၁ᅫ۞གྷរٕຐڱүඍĈ

ܧ

̙ Т ຍ

̙ Т ຍ

Т ຍ

ܧ

૱ Т ຍ 1 ໰᜕፟ၹ̙ྍ͚޺ҝ͗ѣĶّķ࠹ᙯ۞߿જ Ƒ Ƒ Ƒ Ƒ 2 ༊࿅˞ 65 ໐̝ޢĂˠҋ൒ಶ̙ົ၆ĶّķຏᎸ኷ Ƒ Ƒ Ƒ Ƒ

3 ԧົ͚޺၆໰᜕፟ၹ۞ѐܜ۰ކጱّۢᙊ Ƒ Ƒ Ƒ Ƒ

4 ԧ̙ԓ୕ԧ۞Ꮠᛳд໰᜕፟ၹܑ྿Ķّķ͞ࢬ۞ᅮՐ Ƒ Ƒ Ƒ Ƒ

5 շّѐܜ۰ҋᇐߏΞͽజତצ۞ Ƒ Ƒ Ƒ Ƒ

¾

тڍԧ࿅˞ 65 ໐̝ޢĂԧᄮࠎ...(ኛаඍͽ˭ 6 ~ 9 ᗟ)Ĉ

6 ԧ̪ਕညѐᅅॡ˘ᇹֳצّຑ Ƒ Ƒ Ƒ Ƒ

7 ၆ԧ҃֏Ăّຑߏࢦࢋ۞ Ƒ Ƒ Ƒ Ƒ

8 ԧ၆ّຑົຏᎸ኷ Ƒ Ƒ Ƒ Ƒ

9 ԧ۞ҡܴ၆ّຑົຏᎸ኷ Ƒ Ƒ Ƒ Ƒ

10 ໰᜕፟ၹᑕྍࢋ೩ֻ̂˘ᕇ۞ԖዛĂឰѣّᇒ୕۞ҡܴਕૉჂд˘੓ Ƒ Ƒ Ƒ Ƒ 11 ໰᜕፟ၹ۞ҝ̙͗ᑕྍѣĶّķ࠹ᙯ۞Ч჌Җࠎᄃ߿જ Ƒ Ƒ Ƒ Ƒ 12 ໰᜕፟ၹᑕྍ೩ֻளّҝ͗ۤϹ߿જ۞፟ົ Ƒ Ƒ Ƒ Ƒ

13 ѐܜّ̃ᄃѐᅅշّኘ᝽ຑߏਣᖱ۞ Ƒ Ƒ Ƒ Ƒ

14 ѐܜշّᄃѐᅅّ̃ኘ᝽ຑߏਣᖱ۞ Ƒ Ƒ Ƒ Ƒ

15 ѐܜշّ၆ѐܜֽّ̃ᄲ՟ѣӛ͔˧ Ƒ Ƒ Ƒ Ƒ

16 ѐܜّ̃၆ѐܜշֽّᄲ՟ѣӛ͔˧ Ƒ Ƒ Ƒ Ƒ

17 ໰᜕፟ၹᑕྍ೩ֻᔳռ۩มගຐซҖّҖࠎ۞ҝ͗ Ƒ Ƒ Ƒ Ƒ 18 ໰᜕፟ၹ۞ࣶ̙̍ᑕྍ͚޺ҝ͗ࣇ൴णᏐ૜ᙯܼ Ƒ Ƒ Ƒ Ƒ

19 ԧ̙ᛇ଀छ̚ܜዅѣّᅮՐ Ƒ Ƒ Ƒ Ƒ

20 ໰᜕፟ၹᑕྍ೩ֻგ྽ឰҝܑ͗྿Ķّķ͞ࢬ۞ᅮՐ Ƒ Ƒ Ƒ Ƒ

21 ѐܜّ̙̃ዋЪࡍ඾ّຏ Ƒ Ƒ Ƒ Ƒ

22 тڍҝ͗ѣᅮՐĂ໰᜕፟ၹᑕྍםӄפ଀јˠᇆٕͯ३ᚱ Ƒ Ƒ Ƒ Ƒ

23 ᐌ඾ѐࡔᆧΐĂດ̙ᅮࢋᐎ๬֗Մ Ƒ Ƒ Ƒ Ƒ

24 ໰᜕፟ၹ۞ࣶ̍ᑕྍаᑕҝ͗Ķّķ࠹ᙯ۞Ⴗೊ Ƒ Ƒ Ƒ Ƒ 25 ໰᜕፟ၹ۞ࣶ̍൴னҝ͗дซҖّҖࠎॡĂࣶ̍ᑕྍࢋ̬ˢࢬኘᅃጱ Ƒ Ƒ Ƒ Ƒ 26 тڍԧۢ྽ߙ໰᜕፟ၹ͚޺ҝ͗႕ّ֖ᅮՐĂԧ̙ົឰᏐᛳΝҝ Ƒ Ƒ Ƒ Ƒ 27 ࡶۢ྽छ̚ܜዅ̪ѣّᅮՐĂԧົຏז̙නڇ Ƒ Ƒ Ƒ Ƒ 28 اछё۞ѐܜ۰໰ᜪڇચ̙ᅮࢋ૟ѐܜ۰ّᇒ۞႕֖˵ৼˢڇચ Ƒ Ƒ Ƒ Ƒ

(30)

ᅃጱᄃᏙથጯಡ

- 30 -

ፋវ҃֏Ăԧᛇ଀˘ਠ 65 ໐ͽ˯۞ҁˠĂдγ៍ᄃϠந͞ࢬߏĈ

ܧ

̙ Т ຍ

̙ Т ຍ

Т ຍ

ܧ

૱ Т ຍ

29 ҁ༊ৈӴ۞ Ƒ Ƒ Ƒ Ƒ

30 ઉ૵։р۞ Ƒ Ƒ Ƒ Ƒ

31 ̙੅ˠಈᝌ۞ Ƒ Ƒ Ƒ Ƒ

32 វऴкঽ۞ Ƒ Ƒ Ƒ Ƒ

ͽ˭ᗟϫኛ޷໰ଋ၁ᅫ۞གྷរٕຐڱүඍĈ

ܧ

̙ Т ຍ

̙ Т ຍ

Т ຍ

ܧ

૱ Т ຍ

33 ˘؆ଐߏ˘߱՟ѣຑଐ۞ّҖࠎĂ̙ࣃ଀ᐌܮဘྏ Ƒ Ƒ Ƒ Ƒ 34 ˘؆ଐߏ࣎ߊו፬˫ѣ኷۞ྼᑚ҃ຐΝဘྏ Ƒ Ƒ Ƒ Ƒ 35 ൴Ϡ˘؆ଐߏܑன፾ϲҋ͹۞፟ົ҃ຐΝဘྏ Ƒ Ƒ Ƒ Ƒ 36 ൑ڱ၆˘؆ଐ۞ޢڍٚፉయЇĂЯѩ̙ົဘྏ Ƒ Ƒ Ƒ Ƒ 37 ˘؆ଐߏ෍ંͷ̙྽ᇇ۞ّҖࠎĂЯѩ̙ຐ˵̙ົဘྏ Ƒ Ƒ Ƒ Ƒ

38 ൴ϠّҖࠎᅮдຑଐ۞ૄᖂ˯ Ƒ Ƒ Ƒ Ƒ

39 дЇңଐڶ˭ԧౌົАҽᐖޥ҂ޢ̖Җજ Ƒ Ƒ Ƒ Ƒ

40 ԧᓁߏ෍͕ତצҾˠ၆ԧ۞Բෞ Ƒ Ƒ Ƒ Ƒ

41 ԧᓁߏͽ֗ү݋ Ƒ Ƒ Ƒ Ƒ

42 ԧᓁߏͽϒࢬ۞ၗޘֽࢬ၆΁ˠ۞Բෞ Ƒ Ƒ Ƒ Ƒ

43 ࢋՐҾˠ۞ְԧ˘ؠАઇז Ƒ Ƒ Ƒ Ƒ

➢㛔屯㕁

1. 䓇䎮⿏⇍: Ƒ䓟 Ƒ⤛ Ƒ℞Ṿ 2. ↢䓇⸜:__________

3. 㔁做䦳⹎烉 Ƒ⚳⮷ㆾẍᶳ Ƒ⚳ᷕ Ƒ檀ᷕ Ƒ⣏⬠ Ƒ䞼䨞㇨ㆾẍᶲ 4. ⨂⦣䉨㱩烉 Ƒ⶚⨂ Ƒ㛒⨂ Ƒ暊⨂ Ƒ╒„

⓷⌟⇘㬌ℐ悐䳸㜇炻朆ⷠデ嫅ぐ䘬⍫冯炰 劍ぐ⮵㛔⓷⌟㚱ảỽ⺢嬘炻婳⮓⛐ᶳ㕡䨢䘥嗽烉

劍⮵㛔䞼䨞㚱⓷柴ㆾ⺢嬘炻婳 E-mail 军烉[email protected]

參考文獻

相關文件

SERVQUAL Scale and relevant scales to bus service quality, and based on service content and customer service related secondary data of H highway bus service company, to design the

The aim of this research was investigated and analyzed the process of innovation forwards innovative production networks of conventional industries that could be based on the

This study conducted DBR to the production scheduling system, and utilized eM-Plant to simulate the scheduling process.. While comparing the original scheduling process

The main objective of this system is to design a virtual reality learning system for operation practice of total station instrument, and to make learning this skill easier.. Students

The study applies Discriminate Analysis to discuss the aspects of Junior high school students living Adjustment Scale and then develops a scale to be the standard of Junior

The purpose of this study is to analyze the status of the emerging fraudulent crime and to conduct a survey research through empirical questionnaires, based on

Based on the analysis conducted by the independent researcher, how could the newspaper report be modified to give a better description of the relationship between the number

This study based on the computer attitudes, the digital learning attitude and the digital game attitude and tried to find out the factors affecting digital game-based