Physically Active Leisure Participants Segmentation: PCM Stage-Based Investigation
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| Title: | Physically Active Leisure Participants Segmentation: PCM Stage-Based Investigation |
|---|---|
| Language: | English |
| Authors: | Eskiler, Ersin |
| Source: | International Journal of Progressive Education. 2019 15(3):169-179. |
| Availability: | International Association of Educators. Available from: PEN Academic Publishing. e-mail: secretary@inased.org; e-mail: info@penpublishing.net; Web site: http://www.inased.org/ijpe.htm; Web site: http://ijpe.penpublishing.net/ |
| Peer Reviewed: | Y |
| Page Count: | 11 |
| Publication Date: | 2019 |
| Document Type: | Journal Articles Reports - Research |
| Education Level: | Higher Education Postsecondary Education |
| Descriptors: | Physical Activities, Leisure Time, Recreation, Physical Recreation Programs, College Students, Foreign Countries, Educational Benefits, Student Participation, Learner Engagement, Marketing |
| Geographic Terms: | Turkey |
| ISSN: | 1554-5210 |
| Abstract: | Recent recreation and sports marketing research demonstrates that involvement can be used as a new segmentation strategy and offers potential opportunities for better understanding of leisure participants. In the current study, the three-step the Psychological Continuum Model (PCM) segmentation procedure was performed for participant segmentation by using physically active leisure involvement profiles. This study consisted of 561 (n[subscript male]=321 and n[subscript] female=240) physically active leisure participants and three involvement facets of hedonic value, centrality and symbolic value were conducted to segment participants. Confirmatory factor analysis, the Pearson correlation coefficient and multivariate analysis of variance were used for data analysis. Our findings showed that a significant majority of the participants were allocated to the attraction stage (n = 306, 54.5%) and awareness (n = 106, 18.9%), attachment (n = 104, 18.5%) and allegiance (n = 45, 8%), respectively. Consequently, the segmentation revealed that differences in attitudes from awareness to attraction, attachment and allegiance stages, become strengthened among physically active leisure participants. Thus, this information can be used to better understand the leisure activity participation habits of students for marketers-practitioners. |
| Abstractor: | As Provided |
| Entry Date: | 2019 |
| Accession Number: | EJ1219163 |
| Database: | ERIC |
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| Items | – Name: Title Label: Title Group: Ti Data: Physically Active Leisure Participants Segmentation: PCM Stage-Based Investigation – Name: Language Label: Language Group: Lang Data: English – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Eskiler%2C+Ersin%22">Eskiler, Ersin</searchLink> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="SO" term="%22International+Journal+of+Progressive+Education%22"><i>International Journal of Progressive Education</i></searchLink>. 2019 15(3):169-179. – Name: Avail Label: Availability Group: Avail Data: International Association of Educators. Available from: PEN Academic Publishing. e-mail: secretary@inased.org; e-mail: info@penpublishing.net; Web site: http://www.inased.org/ijpe.htm; Web site: http://ijpe.penpublishing.net/ – Name: PeerReviewed Label: Peer Reviewed Group: SrcInfo Data: Y – Name: Pages Label: Page Count Group: Src Data: 11 – Name: DatePubCY Label: Publication Date Group: Date Data: 2019 – Name: TypeDocument Label: Document Type Group: TypDoc Data: Journal Articles<br />Reports - Research – Name: Audience Label: Education Level Group: Audnce Data: <searchLink fieldCode="EL" term="%22Higher+Education%22">Higher Education</searchLink><br /><searchLink fieldCode="EL" term="%22Postsecondary+Education%22">Postsecondary Education</searchLink> – Name: Subject Label: Descriptors Group: Su Data: <searchLink fieldCode="DE" term="%22Physical+Activities%22">Physical Activities</searchLink><br /><searchLink fieldCode="DE" term="%22Leisure+Time%22">Leisure Time</searchLink><br /><searchLink fieldCode="DE" term="%22Recreation%22">Recreation</searchLink><br /><searchLink fieldCode="DE" term="%22Physical+Recreation+Programs%22">Physical Recreation Programs</searchLink><br /><searchLink fieldCode="DE" term="%22College+Students%22">College Students</searchLink><br /><searchLink fieldCode="DE" term="%22Foreign+Countries%22">Foreign Countries</searchLink><br /><searchLink fieldCode="DE" term="%22Educational+Benefits%22">Educational Benefits</searchLink><br /><searchLink fieldCode="DE" term="%22Student+Participation%22">Student Participation</searchLink><br /><searchLink fieldCode="DE" term="%22Learner+Engagement%22">Learner Engagement</searchLink><br /><searchLink fieldCode="DE" term="%22Marketing%22">Marketing</searchLink> – Name: Subject Label: Geographic Terms Group: Su Data: <searchLink fieldCode="DE" term="%22Turkey%22">Turkey</searchLink> – Name: ISSN Label: ISSN Group: ISSN Data: 1554-5210 – Name: Abstract Label: Abstract Group: Ab Data: Recent recreation and sports marketing research demonstrates that involvement can be used as a new segmentation strategy and offers potential opportunities for better understanding of leisure participants. In the current study, the three-step the Psychological Continuum Model (PCM) segmentation procedure was performed for participant segmentation by using physically active leisure involvement profiles. This study consisted of 561 (n[subscript male]=321 and n[subscript] female=240) physically active leisure participants and three involvement facets of hedonic value, centrality and symbolic value were conducted to segment participants. Confirmatory factor analysis, the Pearson correlation coefficient and multivariate analysis of variance were used for data analysis. Our findings showed that a significant majority of the participants were allocated to the attraction stage (n = 306, 54.5%) and awareness (n = 106, 18.9%), attachment (n = 104, 18.5%) and allegiance (n = 45, 8%), respectively. Consequently, the segmentation revealed that differences in attitudes from awareness to attraction, attachment and allegiance stages, become strengthened among physically active leisure participants. Thus, this information can be used to better understand the leisure activity participation habits of students for marketers-practitioners. – Name: AbstractInfo Label: Abstractor Group: Ab Data: As Provided – Name: DateEntry Label: Entry Date Group: Date Data: 2019 – Name: AN Label: Accession Number Group: ID Data: EJ1219163 |
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| RecordInfo | BibRecord: BibEntity: Languages: – Text: English PhysicalDescription: Pagination: PageCount: 11 StartPage: 169 Subjects: – SubjectFull: Physical Activities Type: general – SubjectFull: Leisure Time Type: general – SubjectFull: Recreation Type: general – SubjectFull: Physical Recreation Programs Type: general – SubjectFull: College Students Type: general – SubjectFull: Foreign Countries Type: general – SubjectFull: Educational Benefits Type: general – SubjectFull: Student Participation Type: general – SubjectFull: Learner Engagement Type: general – SubjectFull: Marketing Type: general – SubjectFull: Turkey Type: general Titles: – TitleFull: Physically Active Leisure Participants Segmentation: PCM Stage-Based Investigation Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Eskiler, Ersin IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Type: published Y: 2019 Identifiers: – Type: issn-electronic Value: 1554-5210 Numbering: – Type: volume Value: 15 – Type: issue Value: 3 Titles: – TitleFull: International Journal of Progressive Education Type: main |
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