Microsoft Word - 修士論文(完成) docx

Similar documents
Human Welfare 8‐1☆/5.林

大谷教育福祉研究 39号☆/1.熊野

A Study of International Tourists Visiting Japan Spectating Traditional Sport Focusing on Sumo Tournament Kosuke Takata * Munehiko Harada** Abstract T

1 Stata SEM LightStone 3 2 SEM. 2., 2,. Alan C. Acock, Discovering Structural Equation Modeling Using Stata, Revised Edition, Stata Press.

地域政策学ジャーナル 2014, 第 3 巻第 2 号,15-26 地域政策学ジャーナル, 第 3 巻第 2 号 bj リーグ観戦者の消費行動に関する研究 浜松 東三河フェニックス観戦者と J リーグ観戦者の観戦動機と観戦ニーズの比較を中心に 元 晶煜 Consumer Behavior Study

療養病床に勤務する看護職の職務関与の構造分析

a Ⅱ. 方 法 1. 質 問 項 目 の 作 成 調 査 協 力 者 及 び 調 査 時 期

スポーツ観戦における経験価値尺度開発およびJリーグ観戦者の分類

社会学部紀要 120号☆/9.池内


Web Stamps 96 KJ Stamps Web Vol 8, No 1, 2004


仏大 社会学部論集47号(P)/6.山口

2 251 Barrera, 1986; Barrera, e.g., Gottlieb, 1985 Wethington & Kessler 1986 r Cohen & Wills,

The Japanese Journal of Health Psychology, 29(S): (2017)

Human Welfare 8‐1☆/4.坂口

k3 ( :07 ) 2 (A) k = 1 (B) k = 7 y x x 1 (k2)?? x y (A) GLM (k

Japanese Journal of Applied Psychology

大谷女子大学紀要(よこ)51☆/7.田沢

日本人の子育て観-JGSS-2008 データに見る社会の育児能力に対する評価-

1 Stata SEM LightStone 4 SEM 4.. Alan C. Acock, Discovering Structural Equation Modeling Using Stata, Revised Edition, Stata Press 3.

05_藤田先生_責

Stanovich Actively Open-Minded Thinking Scale CCTDI, SPSS.J for WindowsAmos.J Cronbachα GFIAGFICFIRMSEA Vol. No.

66-1 田中健吾・松浦紗織.pwd

@08460025ヨコ/伊東 217号

Phonetic Perception and Phonemic Percepition

Jpn. J. Personality 18(2): (2009)

Internals Externals Internals Externals HLC HLCInternals Externals HLC HLC CHLC Chance Health Locus of Control HLC HLC HLC HLC HLC Internals Externals

3_23.dvi

Vol. 48 No. 3 Mar PM PM PMBOK PM PM PM PM PM A Proposal and Its Demonstration of Developing System for Project Managers through University-Indus

Newgarten, BL., Havighrst, RJ., & Tobin, S.Life Satisfaction Index-A LSIDiener. E.,Emmons,R.A.,Larsen,R.J.,&Griffin,S. The Satisfaction With Life Scal

スポーツ教育学研究(2013. Vol.33, No1, pp.1-13)

untitled

Japanese Journal of Applied Psychology

Jpn. J. Personality 19(2): (2010)

THE JAPANESE JOURNAL OF PERSONALITY 2007, Vol. 15 No. 2, 217–227

公的・非営利組織の人的資源マネジメント戦略:

日本の高齢者世帯の貯蓄行動に関する実証分析



IRI Eisenberg Baron-Cohen & Wheelwright, 2004; Cognitive and Emotional Empathy Scale for ChildrenCEES-C

_Y13™n‹ä

02[ ]小山・池田(責)岩.indd

: : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : :

Microsoft PowerPoint - 10JSUC_島津_配布用.pptx

new_SPSS_4刷はじめから のコピー

50 Planned Happenstance Parsons Brown Brooks, Gelatt Gelatt 1962 Gelatt, positive uncertainty nonrational Gelatt, 1

26 1 : Self - reported Practices of Cancer Pain Management among Nurses in Tohoku University Hospital Hideyuki Hira

講義のーと : データ解析のための統計モデリング. 第5回

Maynard Zimmerman Maynard & Zimmerman Maynard & Zimmerman Maynard & Zimmerman

<30362D8CB F95B62D8B C90E690B62D91BC3496BC976C2E706466>



DOUSHISYA-sports_R12339(高解像度).pdf

P /fi¡ficfiNŒç

37_02_三田・栗田・マウラー02.indd

The Journal of the Japan Academy of Nursing Administration and Policies Vol 12, No 1, pp 49 59, 2008 資料 看護師におけるメンタリングとキャリア結果の関連 Relationship between M

0a-p1-12-会告.indd

パーソナリティ研究2006 第14巻 第2号 214–226

<30315F985F95B65F90B490852E696E6464>

若者の親子・友人関係とアイデンティティ


こんにちは由美子です

e.g. Kubota 2011 Piller & Takahashi 2006 Kubota 2011 Piller & Takahashi 2006 Kubota 2011 Piller et al Heller 2003 Piller, Takahashi & Watanabe

56 56 The Development of Preschool Children s Views About Conflict Resolution With Peers : Diversity of changes from five-year-olds to six-year-olds Y

Transcription:

Motivation of Sport Spectator Focus on Ice Hockey Spectators Maru Tomoko

4 4 7 8 8 8 12 13 13 14 15 KJ 17 18 21 Cronbach s 35 35 2

45 46 48 50 54 54 56 57 59 61 64 70 3

,,. 2007,2008 2010 4

2008 Wann 2008 Wakefield Barnes,1996 1966 41 11 15 5 2 5 3 9 6 5

2003 2004 2 29 38 2003 5 8 2009 SEIBU 2009 9 4 35 H.C.TOCHIGI High1 7 2007 6

7

20022002 Robinson Trail 2005 2009 2008 8

Robinson 2005 ann 1999 James Ridinger 2002 Zillmann 1995 Bryant 1981 1996 2008 2002 Wann 1995 8 Milne McDonald 1999 12 Trail James 2001 9 Motivation Scale for Sport Consumption MSSC) 9

2002 MSSC 10 32 Sports Spectator Motivation Scale SSMS SSMS 2002 SSMS 1 2 Sports Spectator Motivation Scale SSMS (Achievement) (Aesthetic) (Drama) (Escape) (Knowledge) (Skills) (Social Interaction) (Team Affiliation) (Family) ( Entertainment) 2002 10

11 Sports Spectator Motivation Scale SSMS 2002

Wann 2008 13 12

ann 200813 1 2007 2 Zillmann 1995 Bryant 1981 3 1996 2008 4 2008 13

2 3 SSMS Sports Spectator Motivation Scale Ice Hockey VersionSSMS IHVer SSMS IHVer 2009 12 19 2009 12 26 2009-2010 vs H.C. TOCHIGI 2010 2 6 2009-2010 14

KJ 2010 5 22 1 Cronbach s SSMS IHVer 2010 9 26 2010-2011 2 3 4 15

3 178 10177 36.9 2009 12 19 178225 200 9-2010 90 5535 38.8 2009 12 26 16

90 71 2009-2010 283 19390 39.9 2010 2 6 283 26 KJ 3 322 2 KJ 17

SMSS 3 KJ NPB,J 3 18

Aggression (LeUnes&Nation,1989 Milne& McDonald,1999) Aggression 2 Speed 3 Risk-Taking Milne&McDonald,1999 Risk-Taking Zuckerman,1984Violence Wann,2008 Risk-Taking Armstorong 1999 Funk 2002 Supporting AggressionMilne& McDonald 1999 3 2 Speed1980 19

3 3 Risk-TakingMilne&McDonald 1999 4 4 SupportingFunk 2002 3 4 10 5 (Aggression) (Speed) (Risk-Taking) (Supporting) 413 (Aggression) (Speed) (Risk-Taking) (Supporting) 20

413 SSMS 1032 SSMS I H Ver 1445 2010 5 22 7 1 119 11.8 6353 28.7 6119 21

100 N=119 53.0 N=63 44.5 N=53 2.5% N=3 28.7 8.5 Item-TotalItem- Total 2004 3 457 22

1.771 **.510 **.556 **.402 **.450 **.449 **.321 **.550 **.303 **.464 **.289 **.391 **.287 **.469 ** 2.874 **.336 **.466 **.542 **.427 **.399 **.392 **.711 **.409 **.500 **.451 **.412 **.254 **.525 ** 3.867 **.447 **.572 **.608 **.464 **.538 **.415 **.699 **.345 **.552 **.435 **.517 **.305 **.644 ** 1.406 **.849 **.585 **.353 **.303 **.555 **.234 *.376 **.109.448 **.335 **.667 **.373 **.492 ** 2.486 **.802 **.710 **.409 **.322 **.615 **.305 **.389 **.213 *.587 **.290 **.602 **.190 *.512 ** 3.404 **.855 **.756 **.352 **.359 **.652 **.189 *.409 **.168.601 **.276 **.655 **.214 *.472 ** 1.500 **.679 **.748 **.476 **.385 **.527 **.351 **.425 **.307 **.535 **.281 **.473 **.201 *.406 ** 2.519 **.670 **.850 **.458 **.415 **.625 **.308 **.506 **.270 **.680 **.359 **.601 **.254 **.556 ** 3.561 **.714 **.850 **.496 **.494 **.672 **.327 **.520 **.311 **.618 **.464 **.673 **.320 **.560 ** 4.487 **.605 **.836 **.421 **.508 **.624 **.311 **.500 **.290 **.628 **.366 **.568 **.253 **.491 ** 5.523 **.643 **.833 **.496 **.439 **.613 **.281 **.534 **.232 *.608 **.536 **.739 **.468 **.615 ** 1.489 **.281 **.448 **.852 **.446 **.392 **.428 **.471 **.484 **.517 **.309 **.308 **.184 *.386 ** 2.602 **.459 **.583 **.832 **.509 **.548 **.462 **.597 **.345 **.678 **.523 **.523 **.341 **.532 ** 3.496 **.389 **.443 **.864 **.431 **.421 **.307 **.522 **.340 **.448 **.490 **.455 **.385 **.507 ** 1.357 **.224 *.385 **.403 **.847 **.450 **.260 **.457 **.311 **.304 **.242 **.201 *.229 *.197 * 2.459 **.409 **.542 **.456 **.879 **.651 **.369 **.502 **.361 **.528 **.338 **.398 **.244 **.452 ** 3.570 **.384 **.507 **.552 **.912 **.625 **.452 **.646 **.395 **.460 **.429 **.432 **.361 **.436 ** 1.504 **.632 **.711 **.537 **.701 **.888 **.348 **.558 **.299 **.613 **.430 **.590 **.300 **.558 ** 2.554 **.675 **.707 **.428 **.627 **.882 **.348 **.582 **.296 **.604 **.351 **.647 **.187 *.629 ** 3.407 **.600 **.569 **.434 **.442 **.872 **.390 **.460 **.315 **.498 **.360 **.570 **.205 *.621 ** 1.314 **.180.283 **.332 **.339 **.305 **.831 **.383 **.527 **.332 **.273 **.251 **.237 **.123 2.474 **.283 **.385 **.495 **.443 **.369 **.881 **.555 **.494 **.495 **.267 **.321 **.276 **.314 ** 3.362 **.260 **.315 **.358 **.292 **.385 **.860 **.473 **.419 **.371 **.166.210 *.108.313 ** 1.622 **.352 **.480 **.440 **.391 **.310 **.444 **.727 **.422 **.461 **.257 **.386 **.196 *.304 ** 2.577 **.441 **.544 **.532 **.581 **.656 **.419 **.759 **.310 **.645 **.406 **.488 **.276 **.718 ** 3.632 **.296 **.394 **.471 **.450 **.410 **.433 **.845 **.358 **.400 **.354 **.263 **.229 *.379 ** 1.355 **.145.259 **.379 **.347 **.288 **.473 **.356 **.944 **.317 **.153.184 *.098.283 ** 2.473 **.181 *.357 **.494 **.404 **.326 **.554 **.497 **.915 **.392 **.321 **.230 *.256 **.343 ** 3.350 **.193 *.338 **.402 **.380 **.350 **.520 **.428 **.923 **.452 **.200 *.241 **.172.378 ** 1.460 **.444 **.541 **.497 **.461 **.519 **.381 **.526 **.381 **.823 **.345 **.540 **.220 *.589 ** 2.526 **.597 **.687 **.420 **.391 **.574 **.252 **.529 **.245 **.818 **.346 **.603 **.173.629 ** 3.505 **.555 **.626 **.625 **.351 **.499 **.491 **.534 **.377 **.819 **.370 **.546 **.230 *.589 ** 1.408 **.491 **.581 **.414 **.347 **.514 **.194 *.381 **.209 *.614 **.608 **.610 **.434 **.561 ** 2.282 **.239 **.371 **.382 **.338 **.379 **.235 *.320 **.205 *.283 **.888 **.378 **.660 **.265 ** 3.442 **.204 *.289 **.440 **.261 **.201 *.213 *.366 **.172.226 *.841 **.306 **.670 **.302 ** 1.367 **.609 **.585 **.304 **.357 **.500 **.102.339 **.125.457 **.422 **.771 **.417 **.453 ** 2.394 **.597 **.595 **.455 **.298 **.555 **.308 **.350 **.198 *.582 **.465 **.844 **.410 **.487 ** 3.520 **.677 **.639 **.452 **.319 **.605 **.317 **.498 **.249 **.618 **.353 **.820 **.331 **.595 ** 1.291 **.264 **.371 **.232 *.286 **.241 **.254 **.253 **.267 **.255 **.606 **.367 **.770 **.245 ** 2.416 **.424 **.471 **.449 **.395 **.428 **.193 *.446 **.148.406 **.688 **.649 **.752 **.433 ** 3.173.221 *.216 *.196 *.205 *.136.138.196 * -.022.098.574 **.313 **.859 **.132 4.222 *.153.153.300 **.166.070.181 *.107.232 *.103.577 **.240 **.806 **.151 1.538 **.504 **.576 **.470 **.403 **.623 **.286 **.504 **.386 **.666 **.330 **.568 **.177.885 ** 2.602 **.475 **.499 **.501 **.339 **.563 **.233 *.550 **.249 **.591 **.451 **.487 **.306 **.886 ** 3.567 **.588 **.644 **.498 **.370 **.645 **.282 **.563 **.341 **.699 **.369 **.632 **.263 **.870 ** *p<.05 **p<.01 23

AVE AVESPSS SPSS 18.0 for Windows Amos18.0 2001 2 df RMSEA CFI GFI AGFI 14 2008 0.50 Hair et al. 2006 0.50 11 45AMOS18.0 Fornell Larcker 1981.707 24

2 df = 2.102 GFI =.608 AGFI =.526 CFI =.763 RMSEA =.097 GFI AGFI CFI.900RMSEA 0.80 2 df 2.00 3.00 8 1045 91 2/df GFI AGFI CFI RMSEA.000 2.102.608.526.763.097 AVE AVE.39.79 0.50 Fornell and Larcher 1981 AVEFornell and Larcker 1981 10 14AVE 6 AVE 25

13 26

27 SSMS I H Ver 45

SSMS I H Ver 1445 28

29 0.57 0.24 0.28 0.16 0.54 0.47 0.42 0.40 0.46 0.43 0.49 0.38 0.26 0.58a 0.53 0.16 0.48 0.07 0.60 0.12 0.19 0.12 0.44 0.20 0.35 0.34 0.56b 0.46 0.23 0.41 0.13 0.26 0.30 0.28 0.20 0.37 0.34 0.51 0.60c 0.46 0.41 0.37 0.29 0.50 0.67 0.55 0.43 0.62 0.44 0.65d 0.27 0.28 0.19 0.13 0.39 0.67 0.46 0.43 0.56 0.66e 0.75 0.18 0.49 0.14 0.37 0.43 0.44 0.31 0.56f 0.27 0.17 0.13 0.07 0.45 0.47 0.40 0.49g 0.63 0.16 0.18 0.10 0.48 0.49 0.39h 0.77 0.15 0.14 0.10 0.62 0.79i 0.27 0.17 0.51 0.14 0.51j 0.18 0.63 0.12 0.47k 0.45 0.36 0.49l 0.27 0.50m AVE AVEAVEAVE AVEAVE AVEAVE AVEAVEAVE AVEAVEAVE 0.66n 10AVE

Cronbach s 1445 Cronbach Cronbach 0 11 00 1 0.70.8.78.77.88.80.85.84.81.67.91.74.69.80.73.83 2004 0.50 SSMS I H Ver 30

AVE 11 5 1 N=119 11.8 2 3 Cronbach.67 2.75 3.50 2004 2 Cronbach 3 0.1 Kim&Trail(2010) 3 1 2 3 1 1 3 AVE 31

4 5 5 32

11 AVE SD α AVE 5.11 1.69.78.58 5.21 1.69.61 4.55 1.85.81 5.13 1.69.85 5.93 1.16.77.56 6.29 1.01.65 5.77 1.19.76 5.49 1.43.83 5.74 1.28.88.60 5.90 1.33.70 5.63 1.26.81 5.98 1.18.81 5.52 1.35.77 5.54 1.41.78 4.97 1.61.80.65 5.17 1.59.71 5.19 1.47.81 4.35 1.77.90 4.90 1.59.85.66 5.01 1.46.73 4.88 1.55.81 4.64 1.78.90 5.49 1.33.84.56 5.86 1.20.85 4.97 1.55.68 5.58 1.27.72 4.74 1.72.81.49 5.20 1.58.74 4.09 1.81.67 4.84 1.78.71 4.77 1.58.67.39 5.08 1.72.55 4.86 1.42.73 4.03 1.74.59 4.47 1.86.91.79 4.36 1.86.92 4.33 1.86.87 4.52 1.85.89 5.75 1.29.74.51 5.04 1.476.68 6.34 1.045.73 5.76 1.334.74 4.88 1.57.69.47 5.04 1.476.58 6.34 1.045.73 5.76 1.334.71 33

11 AVE SD α AVE 5.84 1.27.73.49 5.66 1.24.66 5.81 1.37.69 5.99 1.18.75 4.09 1.74.80.50 5.66 1.24.67 5.81 1.37.78 5.99 1.18.72 5.66 1.24.67 5.42 1.59.83.66 5.46 1.51.83 5.58 1.35.75 5.65 1.40.88 34

2010-2011 2010 9 26 H.C. TOCHIGI 2 11 1445 7 2 35

12 12 100 N=332 56.0 N=186 44.0 N=146 41.5 332 47.6 332 144545 AMOS18.0 4514 13 1.46.50 1 45 1 44 45 2 df = 2.983 GFI =.739 AGFI =.684 CFI =.826 RMSEA =.077GFI AGFI CFI.900 36

2 df 2.00 3.00RMSEA 0.80 44 2 df = 2.819 GFI =.758 AGFI =.704 CFI =.844 RMSEA =.074GFI AGFI CFI.900 2 df 2.00 3.00RMSEA 0.80 45 44 44 (1) (4) AIC 45 AIC = 2909.36 44 AIC = 2644.07 4445 13 1444 2 13 2/df GFI AGFI CFI RMSEA AIC 45.000 2.983.739.684.826.077 2909.36 44.000 2.819.758.704.844.074 2644.07 37

SSMS IHVer 1444 38

AVE 3 AVE.51.86 0.50 Fornell and Larcker 1981 10 44 14 45 44 Cronbach.68.93.68.70 2004.50 3.74 2.86 2 3 Cronbach 0.1 AVE 14 39

14 AVE SD α AVE 5.93 1.09.73.51 6.27 1.27.58 5.47 1.55.75 6.12 1.17.80 6.01 0.92.68.46 5.84 1.30.65 6.35 1.01.58 5.86 1.19.77 5.90 0.93.81.49 6.00 1.27.56 6.21 1.06.74 5.86 1.23.67 5.81 1.27.75 5.66 1.29.76 5.48 1.22.77.53 5.65 1.44.67 5.57 1.37.79 5.23 1.61.73 5.01 1.15.75.52 5.11 1.45.59 5.23 1.28.76 4.70 1.50.79 5.49 1.11.84.66 5.14 1.35.78 5.64 1.16.87 5.70 1.29.79 5.07 1.48.86.69 5.29 1.66.79 5.07 1.61.94 4.86 1.74.76 5.36 1.16.75.52 5.73 1.28.71 5.47 1.36.76 4.88 1.58.70 4.93 1.77.93.82 5.02 1.93.89 4.75 1.88.96 5.04 1.85.86 6.16 0.89.76.56 5.80 1.29.67 6.54 0.83.74 6.15 1.07.82 3 5.26 1.23.74.58 2 4.84 1.57.86.77 6.11 1.13.46 4.73 1.67.85 4.96 1.67.90 40

14 AVE SD α AVE 5.95 0.94.75.53 5.72 1.32.69 6.02 1.08.73 6.14 1.01.77 5.04 1.34.80.52 5.02 1.68.69 5.48 1.40.75 4.90 1.77.81 4.79 1.89.63 6.12 1.00.74.53 6.21 1.19.76 5.76 1.48.67 6.41 0.98.76 SSMS 2002 2007 2007 1 3.58 1 2.77 1 21 3 1 Milne & McDonald(1999) NFL 41

(Bryant et al.,1981) (Milne & McDonald,1999 ) 1 2 SSMS I H Ver 14 44 15 16 15SSMS I H Ver Achievement) Aesthetic (Drama) (Escape) (Knowledge) (Skills) (Social Interaction) (Team Affiliation) (Family) (Entertainment) (Aggression) (Speed) (Risk-Taking) (Supporting) SSMS 2002 42

16SSMS I H Ver 10 44 3 3 3 3 3 3 3 3 3 2 3 4 43

16SSMS I H Ver 10 44 3 SSMS 2002 4 12 4 12 17 4 12 18 44

17 (Aggression) (Speed) (Risk-Taking) (Supporting) 18 412 (Aggression) (Speed) (Risk-Taking) (Supporting) 2 19 4 (6.16) (6.12) (6.01) (5.95) (5.93)(5.90)(5.49) (5.48) (5.36) (5.07) (5.04) (5.01) (4.93) (4.84) (4.84) 14 (5.95) (5.04) 11 2 2 45

Wann 2008 13 (Gantz,1981;Gantz& Wenner, 1995; Sloan,1989) (Wann & Ensor,2001; Wann et al.,1998) 19 5.93 1.09 4.84 1.57 6.01 0.92 5.95 0.94 5.90 0.93 5.04 1.34 5.48 1.22 6.12 1.00 5.01 1.15 5.49 1.11 5.07 1.48 5.36 1.16 4.93 1.77 6.16 0.89 3 46

t(330)=2.56, p<. 05 t(330)=2.82, p<.01 2 3 20 Robinson2005 ann1999 Zillmann 1995Bryant1981 (Wann & Ensor,2001; Wann et al.,1998) 6 2 47

20 N=186 N=146 6.02 1.01 5.87 1.18 1.23 6.05 0.83 5.97 1.03 0.84 5.92 0.91 5.90 0.97 0.15 5.48 1.22 5.50 1.24 0.15 5.12 1.20 4.88 1.10 1.89 5.56 1.07 5.40 1.17 1.34 4.98 1.55 5.19 1.40 1.29 5.45 1.12 5.24 1.22 1.61 4.72 1.80 5.22 1.70 2.57* 6.17 0.84 6.16 0.96 0.07 5.06 1.58 4.57 1.53 2.83** 6.01 0.83 5.89 1.07 1.15 5.15 1.36 4.92 1.32 1.55 6.21 0.88 6.02 1.15 1.68 *p<.05 **p<.01 4 2007 2 2 2 3 19982005 2 2 2 3 3 48

2 3 3 1 9 10 2 3 1 9 3 10 3 2 9.0 10 10 1 4 4 N=23/6.9% 2 N=10/3.0% 3 1 9 N=137/41.3% 3 10 N=162/48.8% N=332/100.0 3 1 9 p<0.05)3 10 p<0.05) 2 4 2 21 22 10 3 1 9 3 10 49

21 6.40 6.20 6.00 5.80 5.60 5.40 5.20 5.00 6.26 6.03 6.09 5.49 2 31~9 310 22 Tukey HSD 3-0.59* 0.22 3-0.76* 0.22 *p<.05 3 (ANOVA; analysis of variance) 2007 (multiple comparison, Post-hoc test) 2007 2 50

2007 14 ( 2004) 1 3 1 9 4.95 5.51 5 2 3 10 5.56 5.16 5 3 3 1 9 4.38 5.06 5 4 3 10 5.09 4.44 5 5 5.70 3 10 4.70 5 6 5.31 3 1 9 6.20 5 7 5.31 3 10 6.33 5 14 6 4 2 3 23 28 5.70 3 10 4.70 51

1.00 5.31 3 1 9 6.20 5.31 3 10 6.33 3 10 5.56 5.16 3 1 9 4.95 5.51 3 10 5.09 4.44 6 2 23 3 10 1.00 * 0.37 Bonferroni. *p<.05 24 (I) (J) (I-J) 3 1~9-0.56 * 0.25 Bonferroni. *p<.05 52

25 (I) (J) (I-J) 3 10 0.40 * 0.18 Bonferroni. *p<.05 26 (I) (J) (I-J) 3 1~9-0.68 * 0.30 Bonferroni. *p<.05 27 (I) (J) (I-J) 3 10 0.65 * 0.25 Bonferroni. *p<.05 28 3 1-0.89 * 0.31 3 10-1.03 * 0.30 Bonferroni. *p<.05 53

6 1 1 4 12 2 3 4 3 3 3 1 9 53 10 53 1 9 53 10 5 3 10 5 3 1 9 5 3 10 5 54

, 14 6 2 14 2 14 2 55

2 FM 56

3 2 2008 3 57

58

12 df 2 Amos 0 2001 2 2 df 20 20013 Hair et al. 20052.003.00 2 RMSEA Root mean square error of approximation F0df F0 0.05 0.10 2007 0.050.080.080.10 2001 3 CFI Comparatative fit index CFI 011.900 NFI01 NNFI 2001 4 GFI Goodness of fit index, AGFI Adjusted goodness of fit index 59

GFI AGFI 011 GFI.900 GFI 30GFI.900 CFI 2001 2001 30 5 AIC Akaike s information criterion AICGFI AGFI CFI AIC (,2009) 60

ASIA LEADUE ICE HOCKEY Official Web Site http://www.alhockey.jp/ ASIA LEADUE ICE HOCKEY 2009-2010 offcial Program Fink, J. S., Parker, & H. M. (2009). Spectator Motives: Why Do We Watch When Our Favorite Team Is Not Playing? Sport Marketing Quarterly, 18, 210-217. Funk, D. C., Filo, K., Beaton, A. A., & Pritchard, M. (2009). Measuring the Motives of Sport Event Attendance: Bridging the Academic Practitioner Divide to Understanding behavior. Sport Marketing Quarterly, 18, 126-138. Funk, D. C., Mahony, D. F., & Ridinger, L. L. (2002). Characterizing Consumer Motivation as Individual Difference Factors: Augmenting the Sport Interest Inventory (SII) to Explan Level of Spectator Support. Sport Marketing Quarterly, 11, 33-43 H. C. Official Web Site http://www.icebucks.jp/ James, J. D., Fujimoto, J., Ross, S. D., & Matsuoka, H. (2009). Motives of United States and Japanese professional baseball consumers and level of team identification. Int. J. Sport management and Marketing, 6, 351-366. James, J. D., & Ridinger, L. L. (2002). Female and male sport fans: A comparison of sport consumption motives. Journal of Sport behavior, 25(3), 260. James, J. D., & Ross, S. D. (2004). Comparing Sport Consumer Motivations Across Multiple Sports. Sport Marketing Quarterly, 13, 17-25. Kim, Y. K., & Trail, G. (2010). Constraints and Motivators: A New Model to Explain Sport Consumer Behavior. Journal of Sport Management, 24, 190-210. Ko, Y. J., Kim, Y. K., & Valacich, J. (2010). martial arts participation: consumer motivation. International Journal of Sports Marketing & Sponsorship, 105-123. Matsuoka, H., Chelladurai, P., & Harada, M. (2003). Direct and Interaction Effects of Team Identification and Satisfaction on Intention to Attend Games. Sport Marketing Quarterly. (4)12, 244-253. Milne, G. R., & McDonald, M. A. (1999). Sport marketing: managing the exchange process. Jones & Bartlett Learning Milne, G. R., & McDonald, M. A. (1999). Motivations of the Sport Consumer. Sport marketing, Managing the Exchange Process, 21-38. Jones & Bartlett Learning Ranet, A. A. (2006). Why We Watch and Enjoy Mediated Sports. Handbook of Sports and 61

Media, 19. Robinson, M. J., & Trail, G. T. (2005). Relationships among spectator gender, motives, points of attachment, and sport preference. Journal of Sport Management, 19(1), 58. Robinson, M. J., Trail, G. T., Dick, R. J., & Gillentine, A. J. (2005). Fan vs. spectators: An analysis of those who attend intercollegiate football. Sport Marketing Quarterly, 14(1), 43-53. Trail, G. T., & James, J. D. (2001). The Motivation Scale for Sport Consumption: Assessment of the Scale's Psychometric Properties. Journal of Sport Behavior, 24. Wann, D. L. (1995) Preliminary validation of the Sport fan motivation Scale.Journal of Sport and Social Issues. 19. 377-396. Wann, D. L., Grieve, F. G., Zapalac, R. K., & Pease, G. D. (2008). Motivation Profiles of Sport Fans of Different Sports. Sport Marketing Quarterly. 17. 6-19. Wann, D. L., Schael, M. P., & Wilson, A. M. (1999). Sport Fan Motivation: Questionnaire Validation, Comparisons by Sport, and relationship to Athletic Motivation. Journal of Sport Behavior, 22(1), 114-139 Wenner, L. A., & Gantz, W. (1989). The audience experience with sports on television. In L. A. Wenner (Ed), Media, Sports, & society, 241-269. 2008 2009 Amos 2005 SPSS AMOS 2007 SPSS 2010 J 33 2006 2001 SPSS Amos (1980) 2 75-90 2000 2008 Amos. 62

2008. 2009. 2008 1996 27 51-62. 2001 32 1-11. James Jeffrey(2002) 53. James Jeffrey(2002) 53. 2009. 2007 SPSS 2008 J. (2007) 63

64

65

66

67

68

69

2 H.C.TOCHIGI 70

2011 1 71