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定性調査と定量分析をMixする、Mixed methodsの活用事例と有効性 #pmconf2021

8260dd2bf18a869fc63ab54fbf811b7f?s=47 Maya Fujiwara
November 05, 2021

定性調査と定量分析をMixする、Mixed methodsの活用事例と有効性 #pmconf2021

8260dd2bf18a869fc63ab54fbf811b7f?s=128

Maya Fujiwara

November 05, 2021
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  1. ఆੑௐࠪͱఆྔ෼ੳΛMix͢Δ Mixed methodsͷ׆༻ࣄྫͱ༗ޮੑ -*/&גࣜձࣾ౻ݪຑ໹

  2. ࣗݾ঺հ ౻ݪຑ໹ LINEΞϓϦͷνϟοτͷػೳͷاըɾվળΛ୲౰ 2018೥ UXσβΠφʔͱͯ͠ೖࣾ 2020೥ LINEاըࣨʹҟಈ → UXσβΠφʔ࣌୅͔ΒҾ͖ଓ͖ɺఆੑௐ͕ࠪಘҙͳPMͰ͢ɻ

  3. ·ͣ͸ɺMixed methods ʹ͍ͭͯ 🤔

  4. .JYFENFUIPETͱ͸ ఆੑɾఆྔͷ௕ॴΛ݁ͼ͚ͭͯϦαʔνΛ͢Δ͜ͱͰɺΑΓૣ͘ɾਂ͘ɾਖ਼֬ʹཧղ͢Δ͜ͱ͕ Ͱ͖Δௐࠪઃܭํ๏Ͱ͢ ྫ͑͹ɿ • ϢʔβʔΠϯλϏϡʔͰൃݟͨ͠ΠϯαΠτ͕ͲΕ͘Β͍Ұൠతͳ΋ͷͳ ͷ͔ΛఆྔతͳΞϯέʔτͰ֬ೝ͢Δ • ఆྔ෼ੳͰग़͖ͯͨϢʔβʔߦಈ͕ͲͷΑ͏ͳίϯςΫετͷதͰى͖ͯ ͍Δͷ͔ΛΠϯλϏϡʔͰ֬ೝ͢Δ

    • ΞϯέʔτͰ"ͱ౴͑ͨϢʔβʔΛநग़͠ɺͦͷϢʔβʔͷߦಈϩάΛ෼ ੳ͢Δ Auther/publisher Sam Ladner, PhD
 https://www.samladner.com/
  5. .JYFENFUIPETͱ͸ ఆྔ෼ੳ ఆੑௐࠪ Ωʔϫʔυ ԋ៷తࢥߟɺด࠯ܕɺਖ਼֬ੑɺ࣮ূओٛ ؼೲతࢥߟɺ։์ܕɺίϯςΫετɺղऍओٛ ڧΈ ҰൠԽ΍نଇੑΛݟग़͢ػձΛఏڙ͢Δ ݸਓͷܦݧʹؔ͢Δਂ͍ࢹ఺Λఏڙ͢Δ ௐࠪऀ͕࣋ͨͳ͍৽ͨͳࢹ఺Λࣔࠦ͢Δ

    ऑΈ ར༻ՄೳͳϩάͷൣғͰͷΈͷ෼ੳͱͳΔ
 ͳͥͦͷߦಈ͕ى͖ͨͷ͔͸Θ͔Βͳ͍
 நग़ͷ࣠͸Ծઆʹجͮͨ͘Ίɺൃݟ͕ظ଴ ͞Ε͍ͯΔߦಈͷཱূɾઆ໌ͱͳΔ σʔλ͕ۃΊͯओ؍తͰɺج४͕ଘࡏ͠ͳ͍ ฼਺੍͕ݶ͞ΕΔ͜ͱʹΑΓɺҰൠԽՄೳੑ͕ ੍ݶ͞ΕΔ ෼ੳͷεςοϓͰ΋͞Βʹ෼ੳऀͷόΠΞε͕ ͔͔Δ ମܥతʹֶͿͱఆྔɾఆੑͷҧ͍ΛΑΓਂ͘ཧղͰ͖ɺޮՌతʹ.JYͰ͖ΔΑ͏ʹͳΔ Auther/publisher Sam Ladner, PhD
 https://www.samladner.com/
  6. .JYFENFUIPETͱ͸ ఆྔ෼ੳ ఆੑௐࠪ Ωʔϫʔυ ԋ៷తࢥߟɺด࠯ܕɺਖ਼֬ੑɺ࣮ূओٛ ؼೲతࢥߟɺ։์ܕɺίϯςΫετɺղऍओٛ ڧΈ ҰൠԽ΍نଇੑΛݟग़͢ػձΛఏڙ͢Δ ݸਓͷܦݧʹؔ͢Δਂ͍ࢹ఺Λఏڙ͢Δ ௐࠪऀ͕࣋ͨͳ͍৽ͨͳࢹ఺Λࣔࠦ͢Δ

    ऑΈ ར༻ՄೳͳϩάͷൣғͰͷΈͷ෼ੳͱͳΔ
 ͳͥͦͷߦಈ͕ى͖ͨͷ͔͸Θ͔Βͳ͍
 நग़ͷ࣠͸Ծઆʹجͮͨ͘Ίɺൃݟ͕ظ଴ ͞Ε͍ͯΔߦಈͷཱূɾઆ໌ͱͳΔ σʔλ͕ۃΊͯओ؍తͰɺج४͕ଘࡏ͠ͳ͍ ฼਺੍͕ݶ͞ΕΔ͜ͱʹΑΓɺҰൠԽՄೳੑ͕ ੍ݶ͞ΕΔ ෼ੳͷεςοϓͰ΋͞Βʹ෼ੳऀͷόΠΞε͕ ͔͔Δ ମܥతʹֶͿͱఆྔɾఆੑͷҧ͍ΛΑΓਂ͘ཧղͰ͖ɺޮՌతʹ.JYͰ͖ΔΑ͏ʹͳΔ Auther/publisher Sam Ladner, PhD
 https://www.samladner.com/ ࠓ೔͸ɺ͜ͷຊͷ಺༰Λ۷ΓԼ͛Δͱ͍͏ΑΓ͸ɺ .JYFENFUIPETͱ͍͏ݴ༿Λελʔτ஍఺ͱ͠ɺ ͲͷΑ͏ʹνʔϜɾϓϩδΣΫτʹྑ͍Өڹ͕͔͋ͬͨΛ͓࿩͍ͨ͠͠ͱࢥ͍·͢
  7. ࢲͱ.JYFENFUIPETͷग़ձ͍ ϓϩδΣΫτνʔϜ 1. %BUB TDJFOUJTU 1. σʔλαΠΤϯςΟετ ։ൃɾσβΠϯ ͭΑͭΑ

  8. ࢲͱ.JYFENFUIPETͷग़ձ͍ .F ͭΑͭΑσʔλαΠΤϯςΟετ 1. %BUB 4DJFOUJTU 1. %BUB 4DJFOUJTU ࠓ͸ྠಡձͷޙ΋ɺिʹҰ౓ܧଓతʹू·ͬͯࡶஊˍֶशΛਐΊ͍ͯ·͢

    ࠷ۙ.JYFENFUIPET͍ͬͯ͏ຊ࿩ ୊ʹͳͬͯ·͢ͶɺؾʹͳΔ ໘നͦ͏Ͱ͢ΑͶ ಡΜͰΈΑ͏͔ͳ
  9. ࢲͱ.JYFENFUIPETͷग़ձ͍ .F ͭΑͭΑσʔλαΠΤϯςΟετ 1. %BUB 4DJFOUJTU 1. %BUB 4DJFOUJTU ࠓ͸ྠಡձͷޙ΋ɺिʹҰ౓ܧଓతʹू·ͬͯࡶஊˍֶशΛਐΊ͍ͯ·͢

    ͔͔ͤͬͩ͘Βྠಡձʹ ͠·͢ʁ ʢ৯͍ؾຯͰʣ͍͍Ͱ͢ Ͷʂ΍Γ·͠ΐ͏ʂʂ
  10. ࢲͱ.JYFENFUIPETͷग़ձ͍ .F ͭΑͭΑσʔλαΠΤϯςΟετ 1. %BUB 4DJFOUJTU 1. %BUB 4DJFOUJTU ࠓ͸ྠಡձͷޙ΋ɺिʹҰ౓ܧଓతʹू·ͬͯࡶஊˍֶशΛਐΊ͍ͯ·͢

    ͜Ε͸σʔλৄ͍͠੎ͱɺ ΋ͬͱίϥϘϨʔγϣϯ౓Λ ߴΊΔΊͬͪΌྑ͍ νϟʔϯεʂʂ
  11. ʢࢲ͕ߟ͑Δʣ.JYFENFUIPET͕΋ͨΒ͢༗ޮੑ ͖͋ΒΊͣɺຊ࣭తͳՁ஋ΛνʔϜͰ௥ٻ͢ΔͨΊʹศརͳڞ௨ݴޠ 
 ϝΠϯ͸σʔλநग़ͱϦαʔνΛಘҙͱ͢Δϝϯόʔؒ .JYFENFUIPETલ .JYFENFUIPETΛڞ௨ݴޠͱͯ࣋ͬͨ͠ޙ • ఆੑɾఆྔͷௐ͕ࠪผͷϑΣʔζ΋໨త΋෼அ͞ΕΔ͜ͱ͕ଟ͘ɺͦΕͧΕͷௐࠪͰΘ͔Βͳ͍ͱ ͜Ζ͸͖͋ΒΊ͍ͯͨ •

    ʮ͜Ε͸෼͔Βͳ͍Ͱ͢ͶʯͰऴΘΒͳ͘ͳΓɺʮ͜͜͸͓ئ͍Ͱ͖·͔͢ʁʯͱύεΛૹΔΑ͏ʹͳͬͨ • खஈΛબ͹ͣҰͭͷ໨తͷͨΊʹνʔϜͰ՝୊΍Ձ஋Λ௥ٻ͠ɺ৽ͨͳ݁࿦ʹḷΓண͚ΔΑ͏ʹͳͬͨ • νʔϜ։ൃͷָ͠͞Λ࠷େԽͰ͖Δ
  12. Mixed methods ͕໾ཱͬͨ ࣄྫΛ঺հ͠·͢ 🤔

  13. ϓϩδΣΫτͷਐߦ .JYFENFUIPET

  14. None
  15. -*/&-BCTͷػೳͰ͢ɻͥͻࢼͯ͠Έ͍ͯͩ͘͞ʂ

  16. ղܾ͍ͨ͠՝୊ -*/&ΛΞΫςΟϒʹ࢖͑͹࢖͏΄ͲɺτʔΫϦετͷະಡϝοηʔδͷ؅ཧ͕೉͘͠ͳΔ ະಡ999+͕ৗଶԽ!!

  17. ղܾ͍ͨ͠՝୊ ຊ౰ʹେ੾ͳ༑ͩͪɾՈ଒ͱͷ ৽ணτʔΫ͕ຒ΋Εͯ͠·͏

  18. ղܾ͍ͨ͠՝୊ τʔΫΛΧςΰϦʔ ͝ͱʹ෼͚Δ

  19. ղܾ͍ͨ͠՝୊ "OESPJE൛Λ೥݄ɺJ04൛Λ೥݄ʹϦϦʔε

  20. "OESPJE൛Λ೥݄ɺJ04൛Λ೥݄ʹϦϦʔε ղܾ͍ͨ͠՝୊ Ұఆ࣌ؒτʔΫλϒ͔Β཭ ΕͨΒɺʦ͢΂ͯʧΛ։͘ ࢓༷Ͱ৽ணϝοηʔδΛ· ͱΊͯΈ΍͘͢

  21. ϦϦʔε &QJTPEF 
 ఆੑௐࠪΛ࣮ࢪ &QJTPEF 
 ͞ΒͳΔఆྔ෼ੳ &QJTPEF 
 ఆྔ෼ੳͰޮՌݕূ

    ϓϩδΣΫτͷਐߦ
  22. &Qఆྔ෼ੳͰޮՌݕূ 🤔

  23. &Qఆྔ෼ੳͰޮՌݕূ ެࣜ 3% άϧʔϓ 4% ༑ͩͪ 8% ͢΂ͯ 85% →

    ݁Ռɿ ʦ͢΂ͯʧϑΥϧμʔͰϝοηʔδ֬ೝ͕ѹ౗తʹଟ͔ͬͨ ϑΥϧμผϝοηʔδ֬ೝ਺ ૝ఆɿϢʔβʔ͸ ʦ༑ͩͪʧʦάϧʔϓʧϑΥϧμʔͰϝοηʔδΛ֬ೝ͢ΔΑ͏ʹͳΔͩΖ͏
  24. &Qఆྔ෼ੳͰޮՌݕূ ݁ՌɿϑΥϧμʔػೳΛ͜ͷ··ਖ਼ࣜϦϦʔε͢ΔͱϏδωεʹѱӨڹΛ༩͑ΔՄೳੑ͕ݟ͑ͨ 🥺

  25. &Qఆྔ෼ੳͰޮՌݕূ Ϣʔβʔ͸ʦ༑ͩͪʧʦάϧʔϓʧϑΥϧμʔͰϝοηʔδ Λ֬ೝ͢Δ͸͕ͣɺʦ͢΂ͯʧ͕ѹ౗తʹଟ͔ͬͨ ϏδωεʹѱӨڹΛ༩͑ͦ͏ͩ → ͜Εͬͯຊ౰ʹ՝୊Λղܾͯ͠Δͷʁ → ͦ͜·ͰϦεΫΛͱͬͯ΍Δ͜ͱͳͷʁ

  26. &Qఆྔ෼ੳͰޮՌݕূ Ϣʔβʔ͸ʦ༑ͩͪʧʦάϧʔϓʧϑΥϧμʔͰϝοηʔδ Λ֬ೝ͢Δ͸͕ͣɺʦ͢΂ͯʧϑΥϧμʔͰͷ֬ೝ͕ѹ౗త ʹଟ͔ͬͨ τʔΫλϒʹؔΘΔ༷ʑͳϏδωεεςʔΫϗϧμʔ͕͍Δ தͰɺҰ෦KPIʹӨڹ͕͋Γͦ͏ͳ෼ੳ݁Ռ͕͋ͬͨ → ͜Εͬͯຊ౰ʹ՝୊Λղܾͯ͠Δͷʁ → ͦ͜·ͰϦεΫΛͱͬͯ΍Δ͜ͱͳͷʁ

    ͜ͷ࣌఺Ͱɺࣾ಺ੈ࿦͸͔ͳΓωΨςΟϒ ʢ-BCTܧଓ͕ਫ਼ҰഋɻػೳͷΫϩʔζ΋ࢹ໺ʹೖΔɾɾɾʣ
  27. &Qఆྔ෼ੳͰޮՌݕূ ͨͩɺଞʹ΋ؾʹͳΔσʔλ͕͋Γ·ͨ͠

  28. &Qఆྔ෼ੳͰޮՌݕূ ػೳΛ0/͢ΔϢʔβʔ͸ͱͯ΋ଟ͍ ೥݄࣌఺Ͱ(MPCBMͰສϢʔβʔɻ5BJXBOͩͱ͍ۙϢʔβʔ͕͜ͷػೳΛ࢖͍ͬͯΔɻ 0 1750 3500 5250 7000 2020/5 2020/12

    2021/6 now "OESPJESFMFBTF J04SFMFBTF ສϢʔβʔ
  29. &Qఆྔ෼ੳͰޮՌݕূ -*/&্ͷ༑ͩͪ਺͕ଟ͍ਓ΄Ͳɺ࢖͍ଓ͚Δ܏޲ʹ͋Δ Ϣʔβʔ͝ͱͷ-*/&্ͷ༑ͩͪͷ਺ Ұϲ݄Ҏ಺ʹػೳΛ0/ͷ··ɺ࢖͍ଓ͚Δਓͷׂ߹ 91% 93% 95% 96% 98% 0-29ਓ

    30-59ਓ 60-89ਓ 90ਓҎ্ 97% 96% 94% 92% େྔͷϝοηʔδΛड͚औΓɺ૝ఆͨ͠՝୊Λ๊͕͑ͪͳϢʔβʔ
  30. &Qఆྔ෼ੳͰޮՌݕূ 4/4Ͱͷ൓ڹ͕ͱͯ΋ྑ͍

  31. &Qఆྔ෼ੳͰޮՌݕূ 4/4Ͱͷ൓ڹ͕ͱͯ΋ྑ͍

  32. &Qఆྔ෼ੳͰޮՌݕূ ૬൓͢Δσʔλ ʦ͢΂ͯʧϑΥϧμʔͰͷ֬ೝ͕ѹ౗తʹଟ͔ͬͨ
 → ͜Εͬͯຊ౰ʹ՝୊Λղܾͯ͠Δͷʁʁ ެࣜ 3% άϧʔϓ 4% ༑ͩͪ

    8% ͢΂ͯ 85% ػೳΛ0/͢ΔϢʔβʔ͸ͱͯ΋ଟ͘ɺ 
 ૝ఆͨ͠՝୊ͷ͋ΔϢʔβʔ͸࢖͍ଓ͚͍ͯΔ 1750 3500 5250 7000 2020/5 2020/12 2021/6 now ສ
  33. ϦϦʔε .JYFENFUIPET &QJTPEF 
 ఆྔ෼ੳͰޮՌݕূ &QJTPEF 
 ఆੑௐࠪΛ࣮ࢪ &QJTPEF 


    ͞ΒͳΔఆྔ෼ੳ
  34. &QఆੑௐࠪΛ࣮ࢪ ͦΕͧΕͷௐࠪख๏ͷಛੑ ఆྔ෼ੳ ఆੑௐࠪ Ωʔϫʔυ ԋ៷తࢥߟɺด࠯ܕɺਖ਼֬ੑɺ࣮ূओٛ ؼೲతࢥߟɺ։์ܕɺίϯςΫετɺղऍओٛ ڧΈ ҰൠԽ΍نଇੑΛݟग़͢ػձΛఏڙ͢Δ ݸਓͷܦݧʹؔ͢Δਂ͍ࢹ఺Λఏڙ͢Δ

    ௐࠪऀ͕࣋ͨͳ͍৽ͨͳࢹ఺Λࣔࠦ͢Δ ऑΈ ར༻ՄೳͳϩάͷൣғͰͷΈͷ෼ੳͱͳΔ
 ͳͥͦͷߦಈ͕ى͖ͨͷ͔͸Θ͔Βͳ͍
 நग़ͷ࣠͸Ծઆʹجͮͨ͘Ίɺൃݟ͕ظ଴͞Ε͍ͯΔߦ ಈͷཱূɾઆ໌ͱͳΔ σʔλ͕ۃΊͯओ؍తͰɺج४͕ଘࡏ͠ͳ͍ ฼਺੍͕ݶ͞ΕΔ͜ͱʹΑΓɺҰൠԽՄೳੑ੍͕ݶ͞ΕΔ ෼ੳͷεςοϓͰ΋͞Βʹ෼ੳऀͷόΠΞε͕͔͔Δ
  35. ʦ͢΂ͯʧϑΥϧμʔͰͷ֬ೝ͕ѹ౗తʹଟ͔ͬͨ
 → ͜Εͬͯຊ౰ʹ՝୊Λղܾͯ͠Δͷʁʁ ެࣜ 3% άϧʔϓ 4% ༑ͩͪ 8% ͢΂ͯ

    85% &QఆੑௐࠪΛ࣮ࢪ ૬൓͢Δσʔλ ػೳΛ0/͢ΔϢʔβʔ͸ͱͯ΋ଟ͘ɺ 
 ૝ఆͨ͠՝୊ͷ͋ΔϢʔβʔ͸࢖͍ଓ͚͍ͯΔ 1750 3500 5250 7000 2020/5 2020/12 2021/6 now ສ Ϣʔβʔ͸ԿΛظ଴ͯ͠ػೳΛ0/ͨ͠ʁ 
 ࢖ͬͨ݁Ռɺظ଴௨Γͩͬͨʁ ར༻ҙ޲͸ߴͦ͏ͳͷʹɺʦ͢΂ͯʧλοϓ͕ଟ͍ͷ͸ͳͥʁ
  36. ʦ͢΂ͯʧϑΥϧμʔͰͷ֬ೝ͕ѹ౗తʹଟ͔ͬͨ
 → ͜Εͬͯຊ౰ʹ՝୊Λղܾͯ͠Δͷʁʁ ެࣜ 3% άϧʔϓ 4% ༑ͩͪ 8% ͢΂ͯ

    85% &QఆੑௐࠪΛ࣮ࢪ ૬൓͢Δσʔλ ػೳΛ0/͢ΔϢʔβʔ͸ͱͯ΋ଟ͘ɺ 
 ૝ఆͨ͠՝୊ͷ͋ΔϢʔβʔ͸࢖͍ଓ͚͍ͯΔ 1750 3500 5250 7000 2020/5 2020/12 2021/6 now ສ ݁࿦Λग़͢ͷ͸·ͩૣ͍ɻ ʹఆੑௐࠪΛ࣮ࢪ͠Α͏ ૬൓͢ΔϢʔβʔߦಈͷʮͳͥʯΛಛఆ͍ͨ͠
  37. &QఆੑௐࠪΛ࣮ࢪ 🤔

  38. &QఆੑௐࠪΛ࣮ࢪ ୆࿷ɾλΠɾ೔ຊϢʔβʔ໊Λର৅ʹΠϯλϏϡʔ࣮ࢪ • ಉηάϝϯτϢʔβʔਓΛηοτʹYύλʔϯͷ 
 ΠϯλϏϡʔ • ࢖͍ଓ͚͍ͯΔਓɺ࢖͏͜ͱΛ΍Ίͨਓ

  39. &QఆੑௐࠪΛ࣮ࢪ ԿΛظ଴͍͔ͯͨ͠ʁ ʦ༑ͩͪʧͱʦLINEެࣜΞΧ΢ϯτʧΛ 
 ෼͚ͯ؅ཧͰ͖Δ τʔΫϧʔϜ͕੔ཧ੔಴Ͱ͖Δ Ϣʔβʔ͸τʔΫϧʔϜΛ༏ઌ౓Ͱ؅ཧ͍ͨ͠ͱࢥ͍ͬͯͯɺҙਤ௨Γ

  40. &QఆੑௐࠪΛ࣮ࢪ ԿΛظ଴͍͔ͯͨ͠ʁ ࢖ͬͯɺظ଴௨Γ͔ͩͬͨʁ Ҡಈ͕໘౗ͳͷͰɺ݁ہʦ͢΂ͯʧ͔͠ ։͍͍ͯͳ͍ ʦ༑ͩͪʧͱʦLINEެࣜΞΧ΢ϯτʧΛ 
 ෼͚ͯ؅ཧͰ͖Δ τʔΫϧʔϜ͕੔ཧ੔಴Ͱ͖Δ ظ଴ͱҧͬͨ

    ʦ༑ͩͪʧPS<άϧʔϓ>ΛσϑΥϧτͰ։͍͓͖͍ͯͨ ࠷ޙʹ։͍ͨϑΥϧμʔΛ࣍ΞΫηεͨ࣌͠ʹ΋։͖͍ͨ Ϣʔβʔ͸ࣗ෼ͷ೚ҙͷϑΥϧμʔΛ։͍͍͍ͯͨͱࢥ͍ͬͯΔ͕ɺ ʦ͢΂ͯʧʹ໭Δ࢓༷͕ͦͷߦಈΛ੍ݶ͍ͯ͠Δ
  41. &QఆੑௐࠪΛ࣮ࢪ ૬൓͢Δσʔλ “͢΂ͯ”ϑΥϧμͰͷ֬ೝ͕ѹ౗తʹଟ͔ͬͨ
 → ͜Εͬͯຊ౰ʹ՝୊Λղܾͯ͠Δͷʁʁ ެࣜ 3% άϧʔϓ 4% ༑ͩͪ

    8% ͢΂ͯ 85% ػೳΛ0/͢ΔϢʔβʔ͸ͱͯ΋ଟ͘ɺ 
 ૝ఆͨ͠՝୊ͷ͋ΔϢʔβʔ͸࢖͍ଓ͚͍ͯΔ 1750 3500 5250 7000 2020/5 2020/12 2021/6 now ສ
  42. ʦ͢΂ͯʧϑΥϧμʔͰͷ֬ೝ͕ѹ౗తʹଟ͔ͬͨ
 → ͜Εͬͯຊ౰ʹ՝୊Λղܾͯ͠Δͷʁʁ ެࣜ 3% άϧʔϓ 4% ༑ͩͪ 8% ͢΂ͯ

    85% &QఆੑௐࠪΛ࣮ࢪ ૬൓͢Δσʔλ ͜ͷՁ஋ΛϢʔβʔ͸࣮ࡍʹײ͍ͯͯ͡ɺҙਤʹԊͬͨར༻Λ͍ͯ͠Δ ʮେ੾ͳτʔΫΛݟಀ͞ͳ͍ʯ ػೳΛ0/͢ΔϢʔβʔ͸ͱͯ΋ଟ͘ɺ 
 ૝ఆͨ͠՝୊ͷ͋ΔϢʔβʔ͸࢖͍ଓ͚͍ͯΔ 1750 3500 5250 7000 2020/5 2020/12 2021/6 now ສ
  43. ૬൓͢Δσʔλ ػೳΛ0/͢ΔϢʔβʔ͸ͱͯ΋ଟ͘ɺ 
 ૝ఆͨ͠՝୊ͷ͋ΔϢʔβʔ͸࢖͍ଓ͚͍ͯΔ 1750 3500 5250 7000 2020/5 2020/12

    2021/6 now ສ ʦ͢΂ͯʧͰͷϝοηʔδ֬ೝ͸Ϣʔβʔ͕ 
 ๬ΜͰ͍ΔߦಈͰ͸ͳ͍ Ϣʔβʔ͸ڧ੍తʹʦ͢΂ͯʧʹ໭Β͞ΕΔͨΊ 
 ͦ͜ͰϝοηʔδΛ֬ೝ͍ͯ͠Δ͕ɺ͜ͷ࢓༷Λมߋ͢Δͱσʔλ ͕େ͖͘มΘΔՄೳੑ͕ߴ͍ɻ ʢʦ͢΂ͯʧ͔͠࢖Θͳ͍ʹػೳʹՁ஋͕ͳ͍ͱࢥ͍͜ΜͰ͍ͨʣ &QఆੑௐࠪΛ࣮ࢪ ʦ͢΂ͯʧϑΥϧμʔͰͷ֬ೝ͕ѹ౗తʹଟ͔ͬͨ
 → ͜Εͬͯຊ౰ʹ՝୊Λղܾͯ͠Δͷʁʁ ެࣜ 3% άϧʔϓ 4% ༑ͩͪ 8% ͢΂ͯ 85%
  44. &QఆੑௐࠪΛ࣮ࢪ ωΨςΟϒͳӨڹݒ೦͕͋ΔϏδωεαΠυͷਓ ͱͯ΋ྑ͍ػೳͩͱࢥ͏ɻ୹ظతʹϏδωε໨ઢͰ՝୊͕͋ͬͯ΋ɺϢʔβʔͷ࢖͍΍͢͞Λߟ ͑ΔͱඞཁෆՄܽͩ͠ɺͦΕ͸௕ظతʹϏδωεʹ΋ϙδςΟϒʹಇ͘͸ͣͩͱࢥ͏ɻؔ܎ऀ΁ ͷઆ໌͸ͬͪ͜Ͱ΍Δ͔ΒɺͳΜͱ͔ͦͷՁ஋Λূ໌ͯ͠΄͍͠ɻ

  45. &QJTPEF 
 ఆྔ෼ੳͰޮՌݕূ &QJTPEF 
 ఆੑௐࠪΛ࣮ࢪ &QJTPEF 
 ͞ΒͳΔఆྔ෼ੳ ϦϦʔε

    .JYFENFUIPET .JYFENFUIPETͷߟ͑ํ͕߹ྲྀ ఆྔ෼ੳͷ଍Γͳ͍෦෼Λ͞Βʹਂ΅Γɺ 
 શମ૾Λཧղ͠Α͏ͱ͍͏ํ޲ੑʹ޲͔ͬͨ
  46. &Q͞ΒͳΔఆྔ෼ੳ 🤔

  47. &Q͞ΒͳΔఆྔ෼ੳ ՝୊ɿະಡ ͕ৗଶԽͯ͠ɺຊ౰ʹେ੾ͳ༑ͩͪɺՈ଒ͱͷ৽ணτʔ Ϋ͕ຒ΋Εͯ͠·͏ τʔΫϑΥϧμʔ͕՝୊Λղܾ͢Δͱɿ ະಡόοδΧ΢ϯτ͕ݮΔˡ͜Ε͸σʔλͱͯ͠औ͍ͬͯͳ͍ • ະಡΛফԽ͢Δ׆ಈʢ/ফ͠ʣ΋Α͋͘ΔϢʔβʔߦಈͷͨ Ίɺະಡ͕ݮ͍ͬͯͨͱͯ͠΋ɺͦΕ͸՝୊Λղܾ͍ͯͯ͜͠ ͷػೳʹՁ஋͕͋Δͱ͸ݴ͍੾Εͳ͍

    • ϝοηʔδ͕؅ཧͰ͖ͯɺେࣄͳϝοηʔδΛݟಀ͞ͳ͘ͳΔͱɺ Կ͕ى͖Δ͔ʁ Ͳ͏ͨ͠ΒՁ஋ΛଌΕΔ͔ ະಡόοδ਺ େ੾ͳ৽ணτʔΫͷطಡϦʔυλΠϜʁ ϝοηʔδͷૹ৴ τʔΫλϒ଺ࡏ࣌ؒ ৽ணϝοηʔδ͕ 
 དྷ͔ͯΒ֬ೝ͢Δ 
 ϦʔυλΠϜ ͜ͷػೳʹ͸Ձ஋͕͋Γ·͢ʂͱݴ͍੾ΕΔࢦඪ͕΄͍͠ ఆੑௐࠪͷ݁ՌΛݟΔݶΓɺͲ͔͜ʹ͋Δ͸ͣʂ
  48. &Q͞ΒͳΔఆྔ෼ੳ ՝୊ΛτʔΫϑΥϧμʔͰղܾ͢Δͱ Ͳ͏ͨ͠ΒՁ஋ΛଌΕΔ͔ τʔΫλϒ଺ࡏ࣌ؒ ৽ணϝοηʔδͷطಡ ϦʔυλΠϜ ະಡόοδ਺ େ੾ͳ৽ணτʔΫͷ 
 طಡϦʔυλΠϜʁ

    • ະಡόοδΧ΢ϯτ͕ݮΔ ˡͰ΋͜Ε͸σʔλͱͯ͠औ͍ͬͯͳ͍ • εϫΠϓطಡͳͲະಡΛফԽ͢Δ׆ಈ΋Ұൠతͳͨ Ίɺྫ͑ະಡόοδ͕ݮ͍ͬͯͨͱͯ͠΋ɺͦΕ͸ ͜ͷػೳʹՁ஋͕͋Δͱ͸ݴ͍੾Εͳ͍ େ੾ͳ৽ண͔Ͳ͏͔ͳΜͯΘ͔Δʁ
  49. &Q͞ΒͳΔఆྔ෼ੳ ՝୊ɿະಡ ͕ৗଶԽͯ͠ɺຊ౰ʹେ੾ͳ༑ͩͪɺՈ଒ͱͷ৽ணτʔ Ϋ͕ຒ΋Εͯ͠·͏ τʔΫϑΥϧμʔ͕՝୊Λղܾ͢Δͱɿ ະಡόοδΧ΢ϯτ͕ݮΔˡ͜Ε͸σʔλͱͯ͠औ͍ͬͯͳ͍ • ະಡΛফԽ͢Δ׆ಈʢ/ফ͠ʣ΋Α͋͘ΔϢʔβʔߦಈͷͨ Ίɺະಡ͕ݮ͍ͬͯͨͱͯ͠΋ɺͦΕ͸՝୊Λղܾ͍ͯͯ͜͠ ͷػೳʹՁ஋͕͋Δͱ͸ݴ͍੾Εͳ͍

    • ϝοηʔδ͕؅ཧͰ͖ͯɺେࣄͳϝοηʔδΛݟಀ͞ͳ͘ͳΔͱɺ Կ͕ى͖Δ͔ʁ Ͳ͏ͨ͠ΒՁ஋ΛଌΕΔ͔ ະಡόοδ਺ େ੾ͳ৽ணτʔΫͷطಡϦʔυλΠϜʁ ϝοηʔδͷૹ৴ τʔΫλϒ଺ࡏ࣌ؒ ৽ணϝοηʔδ͕ 
 དྷ͔ͯΒ֬ೝ͢Δ 
 ϦʔυλΠϜ 1. %BUB 4DJFOUJTU ͋͋Ͱ΋ͳ͍ ͜͏Ͱ΋ͳ͍ ϝοηʔδ͕؅ཧͰ͖ͯɺେࣄͳϝοηʔδΛݟಀ͞ͳ͘ͳΔͱɺԿ͕ى͖ΔͩΖ͏ʁ ୯७ʹɺίϛϡχέʔγϣϯ͕૿͑ΔͷͰ͸ʁ
  50. &Q͞ΒͳΔఆྔ෼ੳ ՝୊ɿະಡ ͕ৗଶԽͯ͠ɺຊ౰ʹେ੾ͳ༑ͩͪɺՈ଒ͱͷ৽ணτʔ Ϋ͕ຒ΋Εͯ͠·͏ τʔΫϑΥϧμʔ͕՝୊Λղܾ͢Δͱɿ ະಡόοδΧ΢ϯτ͕ݮΔˡ͜Ε͸σʔλͱͯ͠औ͍ͬͯͳ͍ • ະಡΛফԽ͢Δ׆ಈʢ/ফ͠ʣ΋Α͋͘ΔϢʔβʔߦಈͷͨ Ίɺະಡ͕ݮ͍ͬͯͨͱͯ͠΋ɺͦΕ͸՝୊Λղܾ͍ͯͯ͜͠ ͷػೳʹՁ஋͕͋Δͱ͸ݴ͍੾Εͳ͍

    • ϝοηʔδ͕؅ཧͰ͖ͯɺେࣄͳϝοηʔδΛݟಀ͞ͳ͘ͳΔͱɺ Կ͕ى͖Δ͔ʁ Ͳ͏ͨ͠ΒՁ஋ΛଌΕΔ͔ ະಡόοδ਺ େ੾ͳ৽ணτʔΫͷطಡϦʔυλΠϜʁ ϝοηʔδͷૹ৴ τʔΫλϒ଺ࡏ࣌ؒ ৽ணϝοηʔδ͕ 
 དྷ͔ͯΒ֬ೝ͢Δ 
 ϦʔυλΠϜ ͦ΋ͦ΋ࢲͨͪͷϛογϣϯͬͯϢʔβʔʹ 
 ΑΓָ͘͠ศརͳίϛϡχέʔγϣϯΛఏڙ͢Δ͜ͱͩͬͨʂ ʢ͍ΖΜͳࢦඪʹṆΕͯݟࣦ͍͔͚ͯͨɾɾɾʣ
  51. &Q͞ΒͳΔఆྔ෼ੳ -*/&νϟοτͷҰ൪େ͖ͳՁ஋ 
 ʮϝοηʔδૹ৴਺ʯΛΈͯΈΑ͏ ະಡόοδ਺ େ੾ͳ৽ணτʔΫͷ 
 طಡϦʔυλΠϜʁ τʔΫλϒ଺ࡏ࣌ؒ ৽ணϝοηʔδͷطಡ

    ϦʔυλΠϜ ʙഎਫͷਞʙ ΑΓָͯ͘͠ศརͳ 
 ίϛϡχέʔγϣϯ ϝοηʔδͷૹ৴਺
  52. ϔϏʔϢʔβʔͷτʔΫϑΥϧμʔར༻։࢝ϲ݄Ͱͷϝοηʔδૹ৴਺ͷมԽ཰ &Q͞ΒͳΔఆྔ෼ੳ   ϝοηʔδ͸ɺཧ༝͕͋ͬͯ ૹΔίϛϡχέʔγϣϯ׆ಈ ͷͨΊɺ6*มߋͰϝοηʔδ ਺͕༗ҙʹ૿͑ͨʢมԽ͕ ͋ͬͨʣલྫ͸গͳ͍Ͱ͢ɻ

  53. &Qఆྔ෼ੳͰޮՌݕূ 4/4Ͱͷ൓ڹ͕ͱͯ΋ྑ͍ շదʹͳͬͯɺϝοηʔδΛ ΑΓૹͬͯ͘ΕΔΑ͏ʹ 
 ͳͬͨ շదʹͳͬͯɺΑΓଟ͘ͷϝοηʔδΛૹͬͯ͘ΕΔΑ͏ʹͳͬͨ

  54. ٞ࿦ͷํ޲ੑʹมԽ τʔΫϑΥϧμʔ͸ϔϏʔϢʔβʔ޲͚ʹ 
 -*/&ͷຊ࣭తͳՁ஋ʮίϛϡχέʔγϣϯྔʯΛ૿΍͢ػೳͰ͋Δ ˠػೳΛΩʔϓͯ͠͞ΒͳΔվળΛݕ౼͍ͯ͘͠👏👏👏

  55. &QJTPEF 
 ఆྔ෼ੳͰޮՌݕূ &QJTPEF 
 ఆੑௐࠪΛ࣮ࢪ &QJTPEF 
 ͞ΒͳΔఆྔ෼ੳ ϦϦʔε

    .JYFENFUIPET ػೳͷຊ࣭తͳՁ஋ͷ࠶ఆٛɾ࠶֬ೝ Λ͢Δ͜ͱ͕Ͱ͖ͨ
  56. ࣄྫΛ௨ͯ͠Mixed methods ͕ ΋ͨΒͨ͠ޮՌͷ·ͱΊ 🤔

  57. &QJTPEF 
 ఆྔ෼ੳͰޮՌݕূ &QJTPEF 
 ఆੑௐࠪΛ࣮ࢪ &QJTPEF 
 ͞ΒͳΔఆྔ෼ੳ ϦϦʔε

    .JYFENFUIPET ͜ͷஈ֊Ͱௐࠪ͸׬ྃɺػೳࣗମͷΫ ϩʔζΛݕ౼ɺͱ͍͏ྲྀΕʹͳ͍ͬͯ ͯ΋͓͔͘͠ͳ͔ͬͨ
  58. &QJTPEF 
 ఆྔ෼ੳͰޮՌݕূ &QJTPEF 
 ఆੑௐࠪΛ࣮ࢪ &QJTPEF 
 ͞ΒͳΔఆྔ෼ੳ ϦϦʔε

    .JYFENFUIPET .JYFENFUIPETͷߟ͑ํ͕߹ྲྀ ఆྔ෼ੳͷ଍Γͳ͍෦෼Λ͞Βʹਂ΅Γɺ 
 શମ૾Λཧղ͠Α͏ͱ͍͏ํ޲ੑʹ޲͔ͬͨ
  59. &QJTPEF 
 ఆྔ෼ੳͰޮՌݕূ &QJTPEF 
 ఆੑௐࠪΛ࣮ࢪ &QJTPEF 
 ͞ΒͳΔఆྔ෼ੳ ϦϦʔε

    .JYFENFUIPET ػೳͷຊ࣭తͳՁ஋ͷ࠶ఆٛɾ࠶֬ೝ Λ͢Δ͜ͱ͕Ͱ͖ͨ
  60. վΊͯɺMixed methods ͱ͸ 🤔

  61. • ʮ͜Ε͸෼͔Βͳ͍Ͱ͢ͶʯͰऴΘΒͳ͘ͳΓɺʮ͜͜͸͓ئ͍Ͱ͖·͔͢ʁʯͱύεΛૹΔΑ͏ʹͳͬͨ • खஈΛબ͹ͣҰͭͷ໨తͷͨΊʹνʔϜͰ՝୊΍Ձ஋Λ௥ٻ͠ɺ৽ͨͳ݁࿦ʹḷΓண͚ΔΑ͏ʹͳͬͨ • νʔϜ։ൃͷָ͠͞Λ࠷େԽͰ͖Δ ʢࢲ͕ߟ͑Δʣ.JYFENFUIPET͕΋ͨΒ͢༗ޮੑ ͖͋ΒΊͣɺຊ࣭తͳՁ஋ΛνʔϜͰ௥ٻ͢ΔͨΊʹศརͳڞ௨ݴޠ 
 ओʹɺσʔλநग़ͱϦαʔνΛಘҙͱ͢Δϝϯόʔؒ

    ࠶ܝ .JYFENFUIPETલ .JYFENFUIPETΛڞ௨ݴޠͱͯ࣋ͬͨ͠ޙ • ఆੑɾఆྔͷௐ͕ࠪผͷϑΣʔζ΋໨త΋෼அ͞ΕΔ͜ͱ͕ଟ͘ɺͦΕͧΕͷௐࠪͰΘ͔Βͳ͍ͱ ͜Ζ͸͖͋ΒΊ͍ͯͨ
  62. "QQFOEJY͙͢Ͱ͖Δ͓͢͢Ίεςοϓ  .JYFENFUIPETͱ͸ʁ֓ཁΛΈΜͳͰಡΜͰΈΔ • ͓͢͢Ί͸BNBUBQMVT໺ᖒ͞Μͷ/PUFͰ͢ IUUQTOPUFDPNIJSPLP@OP[BXBOOGDEG ҰਓͻͱΓͷ஌ࣝΛɺڞ௨ݴޠԽ͢Δʂ ࠓ·ͰͷϓϩδΣΫτͰ.JYFENFUIPETతͳࣄྫ͸͋Δ͔ʁΛ࿩ ͠߹͏ •

    ͚ͬ͜͏ग़ͯ͘Δͱࢥ͍·͢ • ఆੑఆྔͷύλʔϯɺఆྔఆੑͷύλʔϯɺϓϩδΣΫτ͝ ͱʹͲͷύλʔϯ͕ଟ͍͔ɺ࠷దͦ͏͔Λ࿩͢ͱ໘ന͍Ͱ͢
  63. Thanks for listening • ࠓޙษڧձ΋࣮ࢪ͍ͯ͘͠ͷͰɺͥͻօ͞ΜͷࣄྫΛڭ͍͑ͯͩ͘͞ʂ • 1.ɺ69Ϧαʔνϟʔɺ1..࠾༻΋΍ͬͯ·͢ • ͜ͷޙͷ"TLUIFTQFBLFSʹ͸ͭΑͭΑσʔλαΠΤϯςΟετ͸͡ΊϓϩδΣΫτ ؔ܎ऀΛݺΜͰ͍·͢ͷͰɺଟ༷ͳ࣭͝໰͓଴͍ͪͯ͠·͢ʂ

    @mayooon