Attendance at basketball matches: A multilevel analysis with longitudinal data

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11510%2F10%3A10071613" target="_blank" >RIV/00216208:11510/10:10071613 - isvavai.cz</a>

Result on the web

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DOI - Digital Object Identifier

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Result language

angličtina

Original language name

Attendance at basketball matches: A multilevel analysis with longitudinal data

Original language description

Multilevel analysis is used to evaluate the elements which compose fan attendance in Czech basketball. The data set analyzed is comprised of a ten year study of 18 teams which played in the highest Czech basketball league. This study differs from other demand studies which evaluate fan attendance in that a cultural secondary sport, basketball, is studied in a globally semi-periphery country, the Czech Republic. Previous studies have focused on primary sports in globally core countries. The study shows multilevel analysis to be a useful methodology for demand studies of fan attendance. It was shown that there is a slightly increasing linear tendency in attendance across time. The independent variables of final place and number of foreigners and are measured across time as the time-varying predictors of the dependent variable of fan attendance within teams.

Czech name

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Czech description

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Type

J_x - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

CEP classification

AK - Sport and leisure time activities

OECD FORD branch

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Project

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Continuities

Z - Vyzkumny zamer (s odkazem do CEZ)

Publication year

2010

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

Acta Universitatis Carolinae. Kinanthropologica

ISSN

1212-1428

e-ISSN

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Volume of the periodical

46

Issue of the periodical within the volume

1

Country of publishing house

CZ - CZECH REPUBLIC

Number of pages

14

Pages from-to

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UT code for WoS article

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EID of the result in the Scopus database

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