Voluntary Association Memberships of American Adults: Evidence from National Sample Surveys

Wright, Charles R.; Hyman, Herbert H.

doi:10.2307/2089242

Cited by 150 publications

(97 citation statements)

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“…We do not find income to significantly affect the number of clubs people are actively involved in. This finding seems in contrast with Wright and Hyman (1958) who found a positive effect for income on involvement in voluntary associations. Note however that this difference may be related to the fact that this study dates from 1958.…”

Section: Effects Of Explanatory Variables On the Number Of Clubs Or Acontrasting

confidence: 96%

“…This is in line with findings from earlier studies (e.g., Wright and Hyman 1958;Curtis et al 1992). If all other variables are evaluated at zero, being male results in 0.38 more clubs.…”

Section: Effects Of Explanatory Variables On the Number Of Clubs Or Asupporting

confidence: 92%

“…It results in 0.25 more club memberships. This finding is in line with Wright and Hyman (1958) and Curtis et al (1992).…”

Section: Effects Of Explanatory Variables On the Number Of Clubs Or Asupporting

confidence: 88%

“…Car ownership and public transport season ticket ownership have been found to have a positive effect on leisure travel as they offer opportunities to travel. In addition, urban density might affect involvement in clubs or voluntary associations, although Wright and Hyman (1958) found no differences in association membership between urban residence and rural non-farm residence.…”

Section: Conceptual Considerationsmentioning

confidence: 75%

“…For instance, Curtis et al (1992) found that males, older people, higher educated people and people who work more are more likely to be a member of a voluntary association. Wright and Hyman (1958) found social status (income, education, home ownership) to have a positive effect on association membership. Males were also found to be more likely to be members of a voluntary association.…”

Section: Conceptual Considerationsmentioning

confidence: 93%

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Involvement in clubs or voluntary associations, social networks and activity generation: a path analysis

2012

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Leisure activities have received increasing attention from travel behavior researchers over the past decade. However, these activities are often treated as a single category, neglecting their differences. Whereas most leisure activities are flexible, club activities are usually scheduled longer in advance and are more fixed in time, location and company. Hence, trip-generating properties of club activities are likely to differ from those of other leisure activities. As very little is known about involvement in clubs or voluntary associations in relation to trip generation, voluntary association activities deserve further research in relation to travel. Therefore, in this paper a path analysis is conducted, analyzing the relationships between participation in clubs or voluntary associations, trip frequencies, and social network characteristics. The analyses are based on data collected in 2011 in Eindhoven in the Netherlands in a survey among 516 respondents. The results show interesting relationships between the social context and involvement in clubs. They indicate that people become club members through their social networks, and frequent club activities increase social network size. Family oriented people were found to go less often to clubs. Club membership and the frequency of going to club activities were also found to be affected by socio-demographics, such as gender, age, education, work, presence of young children in the household and owning a season ticket for public transport.

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Section: Effects Of Explanatory Variables On the Number Of Clubs Or Acontrasting

confidence: 96%

“…This is in line with findings from earlier studies (e.g., Wright and Hyman 1958;Curtis et al 1992). If all other variables are evaluated at zero, being male results in 0.38 more clubs.…”

Section: Effects Of Explanatory Variables On the Number Of Clubs Or Asupporting

confidence: 92%

“…It results in 0.25 more club memberships. This finding is in line with Wright and Hyman (1958) and Curtis et al (1992).…”

Section: Effects Of Explanatory Variables On the Number Of Clubs Or Asupporting

confidence: 88%

Section: Conceptual Considerationsmentioning

confidence: 75%

Section: Conceptual Considerationsmentioning

confidence: 93%

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Involvement in clubs or voluntary associations, social networks and activity generation: a path analysis

2012

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Who Participates?

Graham¹

1974

Aust J Social Issues

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Reported membership of voluntary organizations is taken as an index of community participation. Data derived from a Mental Health Survey in Canberra in 1971 are analysed and participation behaviour compared with information from American participation studies. A high participation rate was expected because of Canberra's high ranking on socio‐economic variables compared with Australia as a whole. However, nearly half of the adults sampled report belonging to no formal organizations. Sex, age and socio‐economic status are found to be related to joining behaviour and conform to well‐established findings in the United States.

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Conducive Social Roles and Demographics Influencing Volunteering

Smith¹,

Wang²

2016

The Palgrave Handbook of Volunteering, Civic Participation, and Nonprofit Associations

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Voluntary Association Memberships of American Adults: Evidence from National Sample Surveys

Cited by 150 publications

References 0 publications

Involvement in clubs or voluntary associations, social networks and activity generation: a path analysis

Involvement in clubs or voluntary associations, social networks and activity generation: a path analysis

Who Participates?

Conducive Social Roles and Demographics Influencing Volunteering

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