Slide 1

Slide 1 text

ֶशऀσʔλΛʮݟΔʯ ―֎ࠃޠڭࢣͷͨΊͷσʔλͷೖྗɺ෼ੳɺղऍํ๏― Ӝ໺ ݚʢ๺ւֶԂେֶʣ email: [email protected] LET2023 @ Waseda University ɹɹ2023. 8. 7. https://www.urano-ken.com/research/let2023

Slide 2

Slide 2 text

ຊ೔ͷࢿྉ

Slide 3

Slide 3 text

͸͡Ίʹ • ࠓ೔ͷ͓࿩͸ɺҎԼͷϫʔΫγϣοϓͷ಺༰ Λ૊Έ߹ΘͤͯΞοϓσʔτͨ͠΋ͷͰ͢ • 2013/08/07. ༗ҙੑͱޮՌྔʹ͍͔ͭͯͬ͠Γߟ͑ͯΈΑ͏. ֎ࠃޠڭҭϝ σΟΞֶձୈ53ճશࠃݚڀେձ @ தژֶӃେֶ • 2014/10/26. ӳޠतۀΛݟͭΊ௚͢ํ๏ɿςετσʔλͷݟํΛ஌Ζ͏. શࠃ ӳޠڭҭֶձɾখֶߍӳޠڭҭֶձୈ2ճӳޠڭҭηϛφʔˏؔ੢େֶ • 2016/08/07. ྔతσʔλΛѻ͏ͱ͖ʹ஌͓͖͍ͬͯͨ͜ͱɿσʔλͷ෼෍ɺ ༗ҙੑɺޮՌྔɺ৴པ۠ؒ. ֎ࠃޠڭҭϝσΟΞֶձୈ56ճશࠃݚڀେձˏ ૣҴాେֶ • 2019/08/06. ֎ࠃޠڭҭʢݚڀʣʹ͓͚Δྔతσʔλͷࢹ֮Խͱղऍ. FLEAT VII / LET2019 @ Waseda University

Slide 4

Slide 4 text

ࢲͨͪ֎ࠃޠڭࢣ͸ɺݚڀ͚ͩͰͳ͘ڭҭ࣮ફͷ৔ʹ͓ ͍ͯ΋ɺֶशऀͷ஌ࣝɾೳྗΛ਺ྔԽͨ͠σʔλΛѻͬ ͍ͯ·͢ɻຊϫʔΫγϣοϓͰ͸ɺ༷ʑͳάϥϑΛ༻͍ ͯσʔλΛࢹ֮Խ͢Δҙٛ΍σʔλͷ෼෍ʹؔ͢Δجຊ తͳࢦඪʹֶ͍ͭͯͼɺݚڀɾڭҭͷ྆໘Ͱֶशऀσʔ λΛΑΓਂ͘ཧղ͢Δ͜ͱΛ໨ࢦ͠·͢ɻ ཁࢫ

Slide 5

Slide 5 text

ࢲͨͪ֎ࠃޠڭࢣ͸ɺݚڀ͚ͩͰͳ͘ڭҭ࣮ફͷ৔ʹ͓ ͍ͯ΋ɺֶशऀͷ஌ࣝɾೳྗΛ਺ྔԽͨ͠σʔλΛѻͬ ͍ͯ·͢ɻຊϫʔΫγϣοϓͰ͸ɺ༷ʑͳάϥϑΛ༻͍ ͯσʔλΛࢹ֮Խ͢Δҙٛ΍σʔλͷ෼෍ʹؔ͢Δجຊ తͳࢦඪʹֶ͍ͭͯͼɺݚڀɾڭҭͷ྆໘Ͱֶशऀσʔ λΛΑΓਂ͘ཧղ͢Δ͜ͱΛ໨ࢦ͠·͢ɻ ཁࢫ

Slide 6

Slide 6 text

ՍۭͷσʔλΛ ༻ҙ͠·ͨ͠

Slide 7

Slide 7 text

Name* Test A খ૔ ರ 70 Տ੢ େޒ࿠ 38 খਿ Ꮺ 58 ௶Ҫ ج༞ 48 ӬҪ ج༞ 28 ڮޱ ๏࢚ 54 ݪ ཽ໵ 58 ޿੉ ༎ 38 ౻ా ࢰಐ 42 ຊؒ խ඙ 47 ٶ࡚ ৎ༤ 78 ଜҪ ࿣࿠ 68 ࢁ࡚ ޹ଠ࿠ 40 ԣҪ ޛࢤ 50 ґా ༸հ 68 एࢁ ప 57 ༗അ Ղ೫ 64 ࿨ઘ ګࢠ 76 ؠҪ ඒՂ 43 ߐ઒ ༝Ӊ 90 ਆ୩ ࣿق 58 ๺઒ ઍՂࢠ 38 ࡔా Ѫࡊ 38 ਿా ඒՂ 43 ⁋ຊ ᜫ 58 ౔୩ ே߳ 60 Ӭ੉ ͘ΔΈ 48 দ໦ ಹಸ 45 ଜҪ ݁ࢠ 24 ए௬ ·Έ 36 *ʮͳΜͪΌͬͯݸਓ৘ใʯͰੜ੒ http://kazina.com/dummy/

Slide 8

Slide 8 text

Group A Test A খ૔ ರ 70 Տ੢ େޒ࿠ 38 খਿ Ꮺ 58 ௶Ҫ ج༞ 48 ӬҪ ج༞ 28 ڮޱ ๏࢚ 54 ݪ ཽ໵ 58 ޿੉ ༎ 38 ౻ా ࢰಐ 42 ຊؒ խ඙ 47 ٶ࡚ ৎ༤ 78 ଜҪ ࿣࿠ 68 ࢁ࡚ ޹ଠ࿠ 40 ԣҪ ޛࢤ 50 ґా ༸հ 68 एࢁ ప 57 ༗അ Ղ೫ 64 ࿨ઘ ګࢠ 76 ؠҪ ඒՂ 43 ߐ઒ ༝Ӊ 90 ਆ୩ ࣿق 58 ๺઒ ઍՂࢠ 38 ࡔా Ѫࡊ 38 ਿా ඒՂ 43 ⁋ຊ ᜫ 58 ౔୩ ே߳ 60 Ӭ੉ ͘ΔΈ 48 দ໦ ಹಸ 45 ଜҪ ݁ࢠ 24 ए௬ ·Έ 36 Group B Test A ؠӬ ࿡࿠ 52 ২໦ ҭೋ 59 ย੉ ཽ໵ 61 ࡔݩ ᠳଠ 76 ౡଜ ༏ 45 ৓ా ௕ར 68 ௕୔ ஌࢙ 63 দҪ Ұಙ 69 ࡾݪ ༟࣍࿠ 43 क԰ ཽ࣍ 51 ੨໺ Έ͋ 36 ஑୩ ༏ 51 ؠ୩ ౧ࢠ 39 ্ݪ ܠࢠ 71 ߐޱ Ί͙Έ 26 ٴ઒ ͳͭΈ 79 େ௩ ·͞Έ 55 Ԭ໺ ࿏ࢠ 61 ֯ా ౧ࢠ 89 ઒୺ ݁ҥ 51 ਆށ ࡊʑඒ 71 ֎ࢁ Έ͋ 63 রҪ Έ͖ 41 ࠜ؛ ༏ 41 ࠜ؛ ྱࢠ 83 Ӌా ѥر 93 ෱࢜ ΈΏ͖ 47 ෍ࢪ ༑߳ 37 ଜా จੈ 52 ٢Ӭ ܙས߳ 41

Slide 9

Slide 9 text

Group A Test A খ૔ ರ 70 Տ੢ େޒ࿠ 38 খਿ Ꮺ 58 ௶Ҫ ج༞ 48 ӬҪ ج༞ 28 ڮޱ ๏࢚ 54 ݪ ཽ໵ 58 ޿੉ ༎ 38 ౻ా ࢰಐ 42 ຊؒ խ඙ 47 ٶ࡚ ৎ༤ 78 ଜҪ ࿣࿠ 68 ࢁ࡚ ޹ଠ࿠ 40 ԣҪ ޛࢤ 50 ґా ༸հ 68 एࢁ ప 57 ༗അ Ղ೫ 64 ࿨ઘ ګࢠ 76 ؠҪ ඒՂ 43 ߐ઒ ༝Ӊ 90 ਆ୩ ࣿق 58 ๺઒ ઍՂࢠ 38 ࡔా Ѫࡊ 38 ਿా ඒՂ 43 ⁋ຊ ᜫ 58 ౔୩ ே߳ 60 Ӭ੉ ͘ΔΈ 48 দ໦ ಹಸ 45 ଜҪ ݁ࢠ 24 ए௬ ·Έ 36 Group B Test A ؠӬ ࿡࿠ 52 ২໦ ҭೋ 59 ย੉ ཽ໵ 61 ࡔݩ ᠳଠ 76 ౡଜ ༏ 45 ৓ా ௕ར 68 ௕୔ ஌࢙ 63 দҪ Ұಙ 69 ࡾݪ ༟࣍࿠ 43 क԰ ཽ࣍ 51 ੨໺ Έ͋ 36 ஑୩ ༏ 51 ؠ୩ ౧ࢠ 39 ্ݪ ܠࢠ 71 ߐޱ Ί͙Έ 26 ٴ઒ ͳͭΈ 79 େ௩ ·͞Έ 55 Ԭ໺ ࿏ࢠ 61 ֯ా ౧ࢠ 89 ઒୺ ݁ҥ 51 ਆށ ࡊʑඒ 71 ֎ࢁ Έ͋ 63 রҪ Έ͖ 41 ࠜ؛ ༏ 41 ࠜ؛ ྱࢠ 83 Ӌా ѥر 93 ෱࢜ ΈΏ͖ 47 ෍ࢪ ༑߳ 37 ଜా จੈ 52 ٢Ӭ ܙས߳ 41 ൺ΂ͯΈΑ͏

Slide 10

Slide 10 text

Group A Test A খ૔ ರ 70 Տ੢ େޒ࿠ 38 খਿ Ꮺ 58 ௶Ҫ ج༞ 48 ӬҪ ج༞ 28 ڮޱ ๏࢚ 54 ݪ ཽ໵ 58 ޿੉ ༎ 38 ౻ా ࢰಐ 42 ຊؒ խ඙ 47 ٶ࡚ ৎ༤ 78 ଜҪ ࿣࿠ 68 ࢁ࡚ ޹ଠ࿠ 40 ԣҪ ޛࢤ 50 ґా ༸հ 68 एࢁ ప 57 ༗അ Ղ೫ 64 ࿨ઘ ګࢠ 76 ؠҪ ඒՂ 43 ߐ઒ ༝Ӊ 90 ਆ୩ ࣿق 58 ๺઒ ઍՂࢠ 38 ࡔా Ѫࡊ 38 ਿా ඒՂ 43 ⁋ຊ ᜫ 58 ౔୩ ே߳ 60 Ӭ੉ ͘ΔΈ 48 দ໦ ಹಸ 45 ଜҪ ݁ࢠ 24 ए௬ ·Έ 36 Group B Test A ؠӬ ࿡࿠ 52 ২໦ ҭೋ 59 ย੉ ཽ໵ 61 ࡔݩ ᠳଠ 76 ౡଜ ༏ 45 ৓ా ௕ར 68 ௕୔ ஌࢙ 63 দҪ Ұಙ 69 ࡾݪ ༟࣍࿠ 43 क԰ ཽ࣍ 51 ੨໺ Έ͋ 36 ஑୩ ༏ 51 ؠ୩ ౧ࢠ 39 ্ݪ ܠࢠ 71 ߐޱ Ί͙Έ 26 ٴ઒ ͳͭΈ 79 େ௩ ·͞Έ 55 Ԭ໺ ࿏ࢠ 61 ֯ా ౧ࢠ 89 ઒୺ ݁ҥ 51 ਆށ ࡊʑඒ 71 ֎ࢁ Έ͋ 63 রҪ Έ͖ 41 ࠜ؛ ༏ 41 ࠜ؛ ྱࢠ 83 Ӌా ѥر 93 ෱࢜ ΈΏ͖ 47 ෍ࢪ ༑߳ 37 ଜా จੈ 52 ٢Ӭ ܙས߳ 41 ൺ΂ͯΈΑ͏ How?

Slide 11

Slide 11 text

ݸʑͷ਺஋Λݟͯ΋ ਺ྔσʔλͷཧղ͸೉͍͠

Slide 12

Slide 12 text

• σʔλΛཁ໿͢Δ • σʔλΛਤͰද͢ ਺ྔσʔλΛཧղ͢Δํ๏

Slide 13

Slide 13 text

• σʔλΛཁ໿͢Δ • σʔλΛਤͰද͢ ਺ྔσʔλΛཧղ͢Δํ๏

Slide 14

Slide 14 text

σʔλΛཁ໿͢Δ σʔλͷத৺ͱ ͹Β͖ͭ

Slide 15

Slide 15 text

ฏۉ஋ (mean) ͢΂ͯͷσʔλͷ߹ܭΛσʔλͷݸ਺Ͱ 
 ׂͬͨ΋ͷ தԝ஋ (median) ͢΂ͯͷσʔλΛখ͍͞ॱʢ·ͨ͸େ͖͍ॱʣʹ ฒ΂ͨͱ͖ɺਅΜதʹདྷΔ஋ ࠷ස஋ (mode) ͢΂ͯͷσʔλͷதͰग़ݱճ਺͕࠷΋ଟ͍஋ σʔλͷத৺

Slide 16

Slide 16 text

Group A Group B ฏۉ஋ 52.1 57.1 தԝ஋ 49.0 53.5 ࠷ස஋ 38, 58 41, 51 σʔλͷத৺

Slide 17

Slide 17 text

ൣғ (range) ࠷େ஋ͱ࠷খ஋ͷ෯ ࢛෼Ґൣғ (IQR) σʔλͷ্Ґ25ˋͱԼҐ25ˋͷ෯ 
 ʢinterquartile rangeʣ ෼ࢄ (variance) ݸʑͷ਺஋ͱฏۉ஋ʢmeanʣͷڑ཭Λදͨ͠ 
 σʔλͷ෼෍౓߹͍Λࣔ͢਺஋ ඪ४ภࠩ (SD) ෼ࢄͷฏํࠜʢstandard deviationʣ σʔλͷ͹Β͖ͭ

Slide 18

Slide 18 text

Group A Group B ൣғ 66.0 67.0 ࢛෼Ґൣғ 19.0 25.3 ෼ࢄ 235 279 ඪ४ภࠩ 15.3 16.7 σʔλͷ͹Β͖ͭ

Slide 19

Slide 19 text

• ݸʑͷ਺஋ͱฏۉ஋ͱͷࠩΛ̎৐͠ɺ߹ܭΛ ࣗ༝౓ʢਓ਺−̍ʣͰׂͬͨ΋ͷͷฏํࠜ Group A Test A খ૔ ರ 70 Տ੢ େޒ࿠ 38 খਿ Ꮺ 58 ௶Ҫ ج༞ 48 ӬҪ ج༞ 28 ڮޱ ๏࢚ 54 ݪ ཽ໵ 58 ޿੉ ༎ 38 ౻ా ࢰಐ 42 (70–52.1)2 = 320.4 (38–52.1)2 = 198.8 (58–52.1)2 = 034.8 . . . ߹ܭ 6828.7 / 29 = 235.4 √ 235.4 = 15.3 ←ʢ෼ࢄʣ ඪ४ภࠩ Group A ฏۉ஋ 52.1 ඪ४ภࠩ 15.3

Slide 20

Slide 20 text

0 20 40 60 80 100 0.00 0.01 0.02 0.03 0.04 0 20 40 60 80 100 0.00 0.01 0.02 0.03 0.04 ฏۉ஋ = 50 ͷ৔߹ ඪ४ภࠩ = 10 ඪ४ภࠩ = 20 34.1% 13.6% 34.1% 34.1% 13.6% 34.1% 13.6% 13.6% ඪ४ภࠩ

Slide 21

Slide 21 text

0 20 40 60 80 100 0.00 0.01 0.02 0.03 0.04 0 20 40 60 80 100 0.00 0.01 0.02 0.03 0.04 ฏۉ஋ = 50 ͷ৔߹ ඪ४ภࠩ = 10 ඪ४ภࠩ = 20 ඪ४ภࠩ

Slide 22

Slide 22 text

ʢ٢ా, 1998, p. 173ʣ ඪ४ภࠩ

Slide 23

Slide 23 text

ʢ٢ా, 1998, p. 173ʣ ࠩ͸ಉ͡ ඪ४ภࠩ

Slide 24

Slide 24 text

ॏͳΓͷྔ͕ҧ͏ ඪ४ภࠩ

Slide 25

Slide 25 text

Group A Group B ฏۉ஋ 52.1 57.1 ඪ४ภࠩ 15.3 16.7

Slide 26

Slide 26 text

Group A Group B Group A Group B ฏۉ஋ 52.1 57.1 ඪ४ภࠩ 15.3 16.7 0 20 40 60 80 100 0.000 0.005 0.010 0.015 0.020 0.025 0.030 0 20 40 60 80 100 0.000 0.005 0.010 0.015 0.020 0.025 0.030

Slide 27

Slide 27 text

Group A Group B ฏۉ஋ 52.1 57.1 ඪ४ภࠩ 15.3 16.7 Group A Group B 0 20 40 60 80 100 0.000 0.005 0.010 0.015 0.020 0.025 0.030 0 20 40 60 80 100 0.000 0.005 0.010 0.015 0.020 0.025 0.030

Slide 28

Slide 28 text

Group A Group B ฏۉ஋ 52.1 57.1 ඪ४ภࠩ 15.3 16.7 Group A Group B ฏۉ஋ͷࠩ 0 20 40 60 80 100 0.000 0.005 0.010 0.015 0.020 0.025 0.030 0 20 40 60 80 100 0.000 0.005 0.010 0.015 0.020 0.025 0.030 ෼෍ͷҧ͍

Slide 29

Slide 29 text

• ฏۉ஋ͷൺֱ͚ͩͰ͸ෆे෼ • σʔλͷ෼෍ʢ͹Β͖ͭʣ΋߹Θͤͯݕ౼ • ෼෍ͷॏͳΓ͕গͳ͍ํ͕͕ࠩେ͖͍ ݴ͑ͦ͏ͳ͜ͱ

Slide 30

Slide 30 text

• ฏۉ஋ͱඪ४ภࠩΛར༻ͨ͠ཁ໿͸ 
 σʔλͷਖ਼ن෼෍͕લఏʢ̎ͭલͷεϥΠυࢀরʣ • ਖ਼ن෼෍Ͱͳ͍৔߹ɺཁ໿͕࣮ଶͱҟͳΔ 
 Մೳੑ͕͋Δ ஫ҙࣄ߲

Slide 31

Slide 31 text

• σʔλΛཁ໿͢Δ • σʔλΛਤͰද͢ ਺ྔσʔλΛཧղ͢Δํ๏

Slide 32

Slide 32 text

• ώετάϥϜʢhistogramʣ • ີ౓ۂઢʢdensityʣ • σʔλ఺ʗ๘܈ਤʢbeeswarmʣ • ശͻ͛ਤʢboxplotʣ • ϰΝΠΦϦϯਤʢviolin plotʣ σʔλΛਤͰද͢

Slide 33

Slide 33 text

ώετάϥϜ (Histogram) B A 20 40 60 80 100 Score Group

Slide 34

Slide 34 text

ີ౓ۂઢ (Density) B A 30 60 90 Score Group

Slide 35

Slide 35 text

ີ౓ۂઢ (Density) B A 30 60 90 Score Group

Slide 36

Slide 36 text

σʔλ఺ʗ๘܈ਤ (Beeswarm) 20 40 60 80 A B Group Score

Slide 37

Slide 37 text

ശͻ͛ਤ (Box Plot) 20 40 60 80 A B Group Score

Slide 38

Slide 38 text

20 40 60 80 A B Group Score ശͻ͛ਤ (Box Plot) தԝ஋

Slide 39

Slide 39 text

20 40 60 80 A B Group Score ശͻ͛ਤ (Box Plot) ࢛෼Ґൣғ

Slide 40

Slide 40 text

20 40 60 80 A B Group Score ശͻ͛ਤ (Box Plot) ࢛෼Ґൣғͷ1.5ഒͷ࠷େ஋ ಉ࠷খ஋

Slide 41

Slide 41 text

20 40 60 80 A B Group Score ശͻ͛ਤ (Box Plot) ֎Ε஋

Slide 42

Slide 42 text

ϰΝΠΦϦϯਤ (Violin Plot) 20 40 60 80 A B Group Score ີ౓ۂઢΛॎʹͯ͠ࠨӈରশʹͨ͠΋ͷ

Slide 43

Slide 43 text

• ऩूͨ͠σʔλʹͲͷΑ͏ͳಛ௃͕͋Δ͔ɺ ͬ͘͟Γ೺Ѳ͢Δ͜ͱ͕Ͱ͖Δ • ฏۉ஋ͱඪ४ภ͚ࠩͩͰ͸ݟ͑ͳ͍΋ͷ͕ 
 ݟ͑Δ • ݫີͳൺֱ΍෼ੳʹ͸ద͞ͳ͍ σʔλΛਤͰද͢

Slide 44

Slide 44 text

࣮ࡍʹ ΍ͬͯΈ·͠ΐ͏

Slide 45

Slide 45 text

No content

Slide 46

Slide 46 text

• Φʔϓϯιʔεͷ౷ܭϓϩάϥϛϯάݴޠ 
 ɹɹΛ࢖͍΍͍͢ܗʹͨ͠ιϑτ΢ΣΞ • GUIͷͨΊ௚ײతʹ࢖͑Δ • ΦʔϓϯιʔεͰແྉͰ࢖͑Δ • ϒϥ΢βͰ࢖͑ΔΫϥ΢υ൛ʢϕʔλʣ΋

Slide 47

Slide 47 text

https://www.jamovi.org

Slide 48

Slide 48 text

• Must-read (1) • ࣳా੐࢘. (2021/2022). jamovi׬શ߈ུΨΠυ. 
 https://bookdown.org/sbtseiji/ jamovi_complete_guide/

Slide 49

Slide 49 text

• Must-read (2) • Navarro, D. J., & Foxcroft, D. R. (2019). Learning statistics with jamovi: A tutorial for psychology students and other beginners. (Version 0.70). 
 DOI: 10.24384/hgc3-7p15 • ೔ຊޠ༁΋͋Γ·͢: • ࣳా੐࢘༁. jamoviͰֶͿ৺ཧ౷ܭ. 
 https://bookdown.org/sbtseiji/lswjamoviJ/

Slide 50

Slide 50 text

஫ҙ఺ᶃ

Slide 51

Slide 51 text

஫ҙ఺ᶃ

Slide 52

Slide 52 text

• ϑΝΠϧಡΈࠐΈ࣌ʹࣗಈత ʹ൑அ͞ΕΔม਺ͷछྨ͕ؒ ҧ͍ͬͯΔ͜ͱ͕͋Δɻ • Continuous ࿈ଓม਺ • Ordinal ॱংม਺ • Nominal ໊ٛม਺ ஫ҙ఺ᶃ

Slide 53

Slide 53 text

• ͜͜·Ͱʹग़͖ͯͨ͢΂ͯͷ਺஋ͱάϥϑΛ 
 ࠶ݱ͠·͠ΐ͏ • ฏۉ஋ɺதԝ஋ɺ࠷ස஋ • ൣғɺ࢛෼Ґൣғɺ෼ࢄɺඪ४ภࠩ • ώετάϥϜɺີ౓ۂઢɺσʔλ఺ɺ 
 ശͻ͛ਤɺϰΝΠΦϦϯਤ ϋϯζΦϯᶃ

Slide 54

Slide 54 text

• Group A ͱ Group B ͷ Test A ͷείΞ • www.urano-ken.com/research/let2023/ • μ΢ϯϩʔυ >> urano1.csv 
 https://www.urano-ken.com/wp-content/uploads/2023/08/urano1.csv ϋϯζΦϯᶃ

Slide 55

Slide 55 text

• ࢄ෍ਤ σʔλΛਤͰද͢ʢ௥Ճʣ

Slide 56

Slide 56 text

Group A Test A Test B খ૔ ರ 70 56 Տ੢ େޒ࿠ 38 83 খਿ Ꮺ 58 74 ௶Ҫ ج༞ 48 73 ӬҪ ج༞ 28 65 ڮޱ ๏࢚ 54 49 ݪ ཽ໵ 58 53 ޿੉ ༎ 38 39 ౻ా ࢰಐ 42 41 ຊؒ խ඙ 47 60 ٶ࡚ ৎ༤ 78 54 ଜҪ ࿣࿠ 68 80 ࢁ࡚ ޹ଠ࿠ 40 48 ԣҪ ޛࢤ 50 84 ґా ༸հ 68 55 एࢁ ప 57 30 ༗അ Ղ೫ 64 68 ࿨ઘ ګࢠ 76 71 ؠҪ ඒՂ 43 36 ߐ઒ ༝Ӊ 90 64 ਆ୩ ࣿق 58 41 ๺઒ ઍՂࢠ 38 63 ࡔా Ѫࡊ 38 48 ਿా ඒՂ 43 31 ⁋ຊ ᜫ 58 67 ౔୩ ே߳ 60 52 Ӭ੉ ͘ΔΈ 48 40 দ໦ ಹಸ 45 48 ଜҪ ݁ࢠ 24 65 ए௬ ·Έ 36 88

Slide 57

Slide 57 text

Group A Test A Test B খ૔ ರ 70 56 Տ੢ େޒ࿠ 38 83 খਿ Ꮺ 58 74 ௶Ҫ ج༞ 48 73 ӬҪ ج༞ 28 65 ڮޱ ๏࢚ 54 49 ݪ ཽ໵ 58 53 ޿੉ ༎ 38 39 ౻ా ࢰಐ 42 41 ຊؒ խ඙ 47 60 ٶ࡚ ৎ༤ 78 54 ଜҪ ࿣࿠ 68 80 ࢁ࡚ ޹ଠ࿠ 40 48 ԣҪ ޛࢤ 50 84 ґా ༸հ 68 55 एࢁ ప 57 30 ༗അ Ղ೫ 64 68 ࿨ઘ ګࢠ 76 71 ؠҪ ඒՂ 43 36 ߐ઒ ༝Ӊ 90 64 ਆ୩ ࣿق 58 41 ๺઒ ઍՂࢠ 38 63 ࡔా Ѫࡊ 38 48 ਿా ඒՂ 43 31 ⁋ຊ ᜫ 58 67 ౔୩ ே߳ 60 52 Ӭ੉ ͘ΔΈ 48 40 দ໦ ಹಸ 45 48 ଜҪ ݁ࢠ 24 65 ए௬ ·Έ 36 88 Test A Test B ฏۉ஋ 52.1 57.5 ඪ४ภࠩ 15.3 16.0

Slide 58

Slide 58 text

ࢄ෍ਤ (Scatter Plot) Test A Test B

Slide 59

Slide 59 text

Class A Test A Test B খ૔ ರ 70 56 Տ੢ େޒ࿠ 38 83 খਿ Ꮺ 58 74 ௶Ҫ ج༞ 48 73 ӬҪ ج༞ 28 65 ڮޱ ๏࢚ 54 49 ݪ ཽ໵ 58 53 ޿੉ ༎ 38 39 ౻ా ࢰಐ 42 41 ຊؒ խ඙ 47 60 ٶ࡚ ৎ༤ 78 54 ଜҪ ࿣࿠ 68 80 ࢁ࡚ ޹ଠ࿠ 40 48 ԣҪ ޛࢤ 50 84 ґా ༸հ 68 55 एࢁ ప 57 30 ༗അ Ղ೫ 64 68 ࿨ઘ ګࢠ 76 71 ؠҪ ඒՂ 43 36 ߐ઒ ༝Ӊ 90 64 ਆ୩ ࣿق 58 41 ๺઒ ઍՂࢠ 38 63 ࡔా Ѫࡊ 38 48 ਿా ඒՂ 43 31 ⁋ຊ ᜫ 58 67 ౔୩ ே߳ 60 52 Ӭ੉ ͘ΔΈ 48 40 দ໦ ಹಸ 45 48 ଜҪ ݁ࢠ 24 65 ए௬ ·Έ 36 88 Test A Test B ฏۉ஋ 52.1 57.5 ඪ४ภࠩ 15.3 16.0

Slide 60

Slide 60 text

ࢄ෍ਤ (Scatter Plot) Test A Test B খ૔͞Μ 70 56

Slide 61

Slide 61 text

Test A = ࣄલςετ Test B = ࣄޙςετ ͱԾఆ͢Δͱ

Slide 62

Slide 62 text

ࢄ෍ਤ (Scatter Plot) Test A Test B ಘ఺্ঢ

Slide 63

Slide 63 text

ࢄ෍ਤ (Scatter Plot) Test A Test B ए௬͞Μ 36⾭88

Slide 64

Slide 64 text

ࢄ෍ਤ (Scatter Plot) Test A Test B ଜҪ͞Μ 24⾭65

Slide 65

Slide 65 text

ࢄ෍ਤ (Scatter Plot) Test A Test B ಘ఺Լ߱

Slide 66

Slide 66 text

ࢄ෍ਤ (Scatter Plot) Test A Test B ߐ઒͞Μ 90↘︎64

Slide 67

Slide 67 text

• ࢄ෍ਤ͸̎ͭͷม਺ʢςετʣͷؔ܎ͷڧ͞ ʢʹ૬ؔʣΛݟΔͨΊʹ࢖ΘΕ·͕͢ • ݸʑͷσʔλʢֶशऀʣ͕̎ͭͷม਺ 
 ʢςετʣͰͲͷΑ͏ʹৼΔ෣͍ͬͯΔ͔Λ 
 ݟΔͨΊʹ΋࢖͑·͢ σʔλΛਤͰද͢ʢ௥Ճʣ

Slide 68

Slide 68 text

• ࢄ෍ਤΛඳ͍ͯΈ·͠ΐ͏ • Group A ͷ Test A ͱ Test B ͷείΞ • www.urano-ken.com/research/let2023/ • μ΢ϯϩʔυ >> urano2.csv 
 https://www.urano-ken.com/wp-content/uploads/2023/08/urano2.csv ϋϯζΦϯᶄ

Slide 69

Slide 69 text

jamovi Ͱग़ྗ ஫ҙ఺ᶄ

Slide 70

Slide 70 text

Test A Test B Microsoft Excel Ͱग़ྗ ஫ҙ఺ᶄ

Slide 71

Slide 71 text

• jamovi ͸౷ܭॲཧ΍άϥϑͷ࡞੒ΛGUIͰ ߦͬͯ͘ΕΔศརͳΞϓϦέʔγϣϯͰ͢ • ศར͞ͷτϨʔυΦϑͱͯ͠ɺάϥϑͰͷ 
 ࡉ͔͍ௐ੔͸Ͱ͖·ͤΜ ஫ҙ఺ᶄ

Slide 72

Slide 72 text

͓·͚

Slide 73

Slide 73 text

σʔλͷೖྗํ๏ • ೖྗํ๏Λม͑ͯΈΑ͏ • ηΫγϣϯ͝ͱͷಘ఺ • ̍໰ͣͭͷಘ఺ • ղ౴ͦͷ΋ͷ

Slide 74

Slide 74 text

̋̋தֶߍ ୈֶ̎ظதؒࢼݧ ֶ ೥ ̏ Ϋϥε 2 ࢯ ໊ Ken Urano ̍ Ϧεχϯά໰୊ ์ૹΛௌ͖ɺ࣍ͷ࣭໰ʹ൪߸Ͱ౴͑ͳ͍͞ɻ 1. What does Tora-san do? ᶃ He is a salesman. ᶄ He is a fisherman. ᶅ He is an entertainer. ᶆ He is a traveler. 2. Where does he live? ᶃ In Tokyo. ᶄ In Sapporo. ᶅ In Osaka. ᶆ He doesn’t have a home. ʲղ౴ཝʳ 1 3 2 4 ̎ ࣍ͷจͷ ( ) ಺͔Βద੾ͳޠΛબͼɺ൪߸Ͱ౴͑ͳ͍͞ɻ 1. Atsushi has already ( ᶃ eat ᶄ eating ᶅ eaten ) all the chocolate. 2. We call ( ᶃ he ᶄ his ᶅ him ) a chocolate monster. ʲղ౴ཝʳ 1 3 2 3 ̏ ࣍ͷจΛಡΜͰɺԼͷ໰͍ʹ౴͑ͳ͍͞ɻ Today we live in the age of beer. In addition to major beer manufacturers, there are hundreds of small breweries all over Japan. They are called microbreweries and the beer they produce is becoming more and more popular because of its high quality. 1. Do you like beer? 2. What is your favorite brand? ʲղ౴ཝʳ 1 Yes, of course! 2 Sapporo Classic. ̐ ࣍ͷ೔ຊจΛӳޠʹ௚͠ͳ͍͞ɻ 1. Θͨ͠͸͜ͷ͋ͱߴాഅ৔Ͱͨ͘͞Μ͓ञΛҿΈ͍ͨɻ 2. ࢓ࣄ͕଴͍ͬͯΔͷͰࡳຈʹؼΓͨ͘ͳ͍ɻ ʲղ౴ཝʳ 1 I am so ready to go to Takadanobaba and get drunk. 2 I don’t want to go back to Sapporo because there are so many things to do there. 10 20 20 30 80

Slide 75

Slide 75 text

̋̋தֶߍ ୈֶ̎ظதؒࢼݧ ֶ ೥ ̏ Ϋϥε 2 ࢯ ໊ Ken Urano ̍ Ϧεχϯά໰୊ ์ૹΛௌ͖ɺ࣍ͷ࣭໰ʹ൪߸Ͱ౴͑ͳ͍͞ɻ 1. What does Tora-san do? ᶃ He is a salesman. ᶄ He is a fisherman. ᶅ He is an entertainer. ᶆ He is a traveler. 2. Where does he live? ᶃ In Tokyo. ᶄ In Sapporo. ᶅ In Osaka. ᶆ He doesn’t have a home. ʲղ౴ཝʳ 1 3 2 4 ̎ ࣍ͷจͷ ( ) ಺͔Βద੾ͳޠΛબͼɺ൪߸Ͱ౴͑ͳ͍͞ɻ 1. Atsushi has already ( ᶃ eat ᶄ eating ᶅ eaten ) all the chocolate. 2. We call ( ᶃ he ᶄ his ᶅ him ) a chocolate monster. ʲղ౴ཝʳ 1 3 2 3 ̏ ࣍ͷจΛಡΜͰɺԼͷ໰͍ʹ౴͑ͳ͍͞ɻ Today we live in the age of beer. In addition to major beer manufacturers, there are hundreds of small breweries all over Japan. They are called microbreweries and the beer they produce is becoming more and more popular because of its high quality. 1. Do you like beer? 2. What is your favorite brand? ʲղ౴ཝʳ 1 Yes, of course! 2 Sapporo Classic. ̐ ࣍ͷ೔ຊจΛӳޠʹ௚͠ͳ͍͞ɻ 1. Θͨ͠͸͜ͷ͋ͱߴాഅ৔Ͱͨ͘͞Μ͓ञΛҿΈ͍ͨɻ 2. ࢓ࣄ͕଴͍ͬͯΔͷͰࡳຈʹؼΓͨ͘ͳ͍ɻ ʲղ౴ཝʳ 1 I am so ready to go to Takadanobaba and get drunk. 2 I don’t want to go back to Sapporo because there are so many things to do there. 10 20 20 30 80 ߹ܭ఺ ηΫγϣϯ ͝ͱͷಘ఺

Slide 76

Slide 76 text

• ࠓ೔ͷ࿩͸͜Ε·Ͱ͢΂ͯ߹ܭ఺ͷ͜ͱ • ηΫγϣϯ͝ͱͷಘ఺ͱ͍͏৘ใΛ͢Ͱ ʹࣦ͍ͬͯΔ • ͭ·Γ߹ܭ఺͸͢Ͱʹཁ໿͞Ε͍ͯΔ • ՄೳͰ͋Ε͹ཁ໿લͷ৘ใ΋ه࿥͓ͯ͠ ͖͍ͨ ߹ܭ఺

Slide 77

Slide 77 text

ηΫγϣϯ͝ͱͷಘ఺ • ߹ܭ఺Λܭࢉ͢ΔखؒΛল͚Δ • ߹ܭ఺ͷܭࢉϛεΛ๷͛Δ • ֶशऀʹ͍ͭͯΑΓৄ͘͠ཧղͰ͖Δ • ηΫγϣϯؒͷಘ఺ൺֱ • ฏۉͱඪ४ภࠩͰཁ໿ • ࢄ෍ਤͰՄࢹԽͯ͠ݸʑͷֶशऀͷ ֬ೝ

Slide 78

Slide 78 text

• ฏۉͱඪ४ภࠩͰཁ໿ • ࢄ෍ਤͰࢹ֮Խ • ʮ͜ͷΫϥε͸Ϧεχϯάͱൺ΂ͯϦʔ σΟϯά͕ۤखͳΑ͏ͩʯ • ʮจ๏ηΫγϣϯ͸σʔλͷ͹Β͖͕ͭ େ͖͍ͳʯ • ʮଜҪ͞Μ͸Ϧεχϯά͕ۤखͳͷ͔ͳʯ • ʮߐ઒͞Μ͸୯ޠ͕Μ͹ͬͯΔͳʯ ηΫγϣϯ͝ͱͷಘ఺

Slide 79

Slide 79 text

• ηΫγϣϯؒΛൺֱ͢Δ͜ͱͰৼΓฦΔ • ςετ໰୊ʢͷྑ͠ѱ͠ʣ • ֶश಺༰ • ࢦಋํ๏ɺֶशํ๏ • ֶशऀͷݸੑʢֶशελΠϧʣ ηΫγϣϯ͝ͱͷಘ఺

Slide 80

Slide 80 text

10 20 20 30 80 ̍໰ͣͭͷ ಘ఺ 0 10 10 10 10 10 20 10 ̍໰ͣͭͷ ಘ఺ ̋̋தֶߍ ୈֶ̎ظதؒࢼݧ ֶ ೥ ̏ Ϋϥε 2 ࢯ ໊ Ken Urano ̍ Ϧεχϯά໰୊ ์ૹΛௌ͖ɺ࣍ͷ࣭໰ʹ൪߸Ͱ౴͑ͳ͍͞ɻ 1. What does Tora-san do? ᶃ He is a salesman. ᶄ He is a fisherman. ᶅ He is an entertainer. ᶆ He is a traveler. 2. Where does he live? ᶃ In Tokyo. ᶄ In Sapporo. ᶅ In Osaka. ᶆ He doesn’t have a home. ʲղ౴ཝʳ 1 3 2 4 ̎ ࣍ͷจͷ ( ) ಺͔Βద੾ͳޠΛબͼɺ൪߸Ͱ౴͑ͳ͍͞ɻ 1. Atsushi has already ( ᶃ eat ᶄ eating ᶅ eaten ) all the chocolate. 2. We call ( ᶃ he ᶄ his ᶅ him ) a chocolate monster. ʲղ౴ཝʳ 1 3 2 3 ̏ ࣍ͷจΛಡΜͰɺԼͷ໰͍ʹ౴͑ͳ͍͞ɻ Today we live in the age of beer. In addition to major beer manufacturers, there are hundreds of small breweries all over Japan. They are called microbreweries and the beer they produce is becoming more and more popular because of its high quality. 1. Do you like beer? 2. What is your favorite brand? ʲղ౴ཝʳ 1 Yes, of course! 2 Sapporo Classic. ̐ ࣍ͷ೔ຊจΛӳޠʹ௚͠ͳ͍͞ɻ 1. Θͨ͠͸͜ͷ͋ͱߴాഅ৔Ͱͨ͘͞Μ͓ञΛҿΈ͍ͨɻ 2. ࢓ࣄ͕଴͍ͬͯΔͷͰࡳຈʹؼΓͨ͘ͳ͍ɻ ʲղ౴ཝʳ 1 I am so ready to go to Takadanobaba and get drunk. 2 I don’t want to go back to Sapporo because there are so many things to do there.

Slide 81

Slide 81 text

͍ • ֶशऀʹ͍ͭͯ͞Βʹৄ͘͠ཧղͰ͖Δ • ςετ໰୊ͷධՁ͕Ͱ͖Δ • ೉қ౓ʢItem Facilityʣ • หผྗʢItem Discriminationʣ • ֶशऀͷೳྗΛ൑ผ͢Δਫ਼౓ ̍໰ͣͭͷಘ఺

Slide 82

Slide 82 text

• ޡ౴෼ੳ͕Ͱ͖Δ • બ୒ࢶͷྑ͠ѱ͠ΛධՁͰ͖Δ ʢDistractor Analysisʣ • ϚʔΫγʔτͷར༻ ղ౴ͦͷ΋ͷͷه࿥

Slide 83

Slide 83 text

σʔλͷཁ໿ ߹ܭ఺ ηΫγϣϯ͝ͱͷಘ఺ ̍໰ͣͭͷಘ఺ ղ౴ͦͷ΋ͷ ৘ใ͕ଟ͍ ৘ใ͕গͳ͍ ੔ཧ͢Δͱ

Slide 84

Slide 84 text

http://www.langtest.jp

Slide 85

Slide 85 text

• σʔλ෼ੳ͕ͳΜͰ΋ 
 Ͱ͖ͪΌ͏΋ͷ͍͢͝ 
 ΢ΣϒΞϓϦ • ςετͷ߲໨෼ੳ΋ 
 Ͱ͖·͢ • ਫຊಞ͞Μʢؔ੢େֶʣ ͕։ൃ͠ɺແྉͰެ։ • ͓ྱ͸Ϗʔϧ͔നϫΠϯ 
 ʢḺυωʣͰ

Slide 86

Slide 86 text

• σʔλ෼ੳ͕ͳΜͰ΋ 
 Ͱ͖ͪΌ͏΋ͷ͍͢͝ 
 ΢ΣϒΞϓϦ • ςετͷ߲໨෼ੳ΋ 
 Ͱ͖·͢ • ਫຊಞ͞Μʢؔ੢େֶʣ ͕։ൃ͠ɺແྉͰެ։ • ͓ྱ͸Ϗʔϧ͔നϫΠϯ 
 ʢḺυωʣͰ

Slide 87

Slide 87 text

No content

Slide 88

Slide 88 text

No content

Slide 89

Slide 89 text

࣮ࡍͷղ౴ͱਖ਼ղ (answer keys) Λೖྗ͢Δ͚ͩͰɺ جຊతͳ߲໨෼ੳΛࣗಈͰ ߦͬͯ͘Ε·͢

Slide 90

Slide 90 text

• ਺ྔσʔλΛཧղ͢Δ • σʔλΛཁ໿͢Δ • σʔλΛਤͰද͢ • ϋϯζΦϯ (jamovi) • σʔλͷೖྗํ๏Λ࠶ߟ͢Δ • ςετͷ߲໨෼ੳ (langtest.jp) Ken Urano [email protected] https://www.urano-ken.com/research/let2023 ֶशऀσʔλΛʮݟΔʯ ―֎ࠃޠڭࢣͷͨΊͷσʔλͷೖྗɺ෼ੳɺղऍํ๏―