View in EDS PDF Full Text

An Analysis of the Distribution Map of Physical Education Learning Motivation through Rasch Modeling in Elementary School

Saved in:
Bibliographic Details
Title: An Analysis of the Distribution Map of Physical Education Learning Motivation through Rasch Modeling in Elementary School
Language: English
Authors: Nur, Lutfi, Yulianto, Ade, Suryana, Dodi, Malik, Arief Abdul, Ardha, Muchamad Arif Al, Hong, Fan
Source: International Journal of Instruction. Apr 2022 15(2):815-830.
Availability: Gate Association for Teaching and Education. e-mail: iji@ogu.edu.tr; Web site: http://e-iji.net/
Peer Reviewed: Y
Page Count: 16
Publication Date: 2022
Document Type: Journal Articles
Reports - Research
Education Level: Elementary Education
Descriptors: Physical Education, Learning Motivation, Elementary School Students, Scores, Student Attitudes, Models, Student Motivation
ISSN: 1694-609X
Abstract: The distribution map of physical education learning motivation could provide information about the electability of motivational items (questionnaires) distributed to several elementary school students. In more detail, this study would analyze the grouping of the electability level of physical education learning motivation items in elementary schools through a combination of standard deviation (SD) values and logit mean scores. Twenty-one students aged 13-14 years participated in this study by filling out a motivation to learn physical education questionnaire. The data analysis technique was performed through Rasch modeling assisted by the Winsteps 3.75 application. The results indicated that there were variations in the level of electability of physical education learning motivation items. The grouping was based on several item categories, including extremely difficult to get elected item category with a logit value greater than + 1SD; difficult to get elected item category with a value of 0.0 logit +1 SD; easy to get elected item category with a value of 0.0 logit -1 SD; and extremely easy to get elected item category with a value smaller than --SD. An ideal set of motivation items could identify the various motivations of students with diverse levels of motivation.
Abstractor: As Provided
Entry Date: 2022
Accession Number: EJ1341767
Database: ERIC
FullText Links:
  – Type: pdflink
    Url: https://content.ebscohost.com/cds/retrieve?content=AQICAHj0k_4E0hTGH8RJwT4gCJyBsGNe_WN95AvKlDbXJGqwxwH-t_2eeV04OU5sk6XEQlgpAAAA4zCB4AYJKoZIhvcNAQcGoIHSMIHPAgEAMIHJBgkqhkiG9w0BBwEwHgYJYIZIAWUDBAEuMBEEDLILYqN98kL6qH6vgwIBEICBm11YxQo0eD_JtXCo8BRjXjRYnY0sGm0I37egKDykAfTVvGZsrWgN7-34eck2_o5WRbSc1SBQUbCbd9qVfHePBmORlaT5mOHAjJnAAUVO8SeLPlFgwJf2G5U4mq090vjf_8acV1fpYgzSN2bkZY8N4G9W9l_laOwszoL6C1x3HnJu-wJCZbYcWtPhlvc_Ee9FHLjIRH5YH9BN80hj
Text:
  Availability: 0
CustomLinks:
  – Url: https://eric.ed.gov/contentdelivery/servlet/ERICServlet?accno=EJ1341767
    Name: ERIC Full Text
    Category: fullText
    Text: Full Text from ERIC
Header DbId: eric
DbLabel: ERIC
An: EJ1341767
AccessLevel: 3
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: An Analysis of the Distribution Map of Physical Education Learning Motivation through Rasch Modeling in Elementary School
– Name: Language
  Label: Language
  Group: Lang
  Data: English
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Nur%2C+Lutfi%22">Nur, Lutfi</searchLink><br /><searchLink fieldCode="AR" term="%22Yulianto%2C+Ade%22">Yulianto, Ade</searchLink><br /><searchLink fieldCode="AR" term="%22Suryana%2C+Dodi%22">Suryana, Dodi</searchLink><br /><searchLink fieldCode="AR" term="%22Malik%2C+Arief+Abdul%22">Malik, Arief Abdul</searchLink><br /><searchLink fieldCode="AR" term="%22Ardha%2C+Muchamad+Arif+Al%22">Ardha, Muchamad Arif Al</searchLink><br /><searchLink fieldCode="AR" term="%22Hong%2C+Fan%22">Hong, Fan</searchLink>
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="SO" term="%22International+Journal+of+Instruction%22"><i>International Journal of Instruction</i></searchLink>. Apr 2022 15(2):815-830.
– Name: Avail
  Label: Availability
  Group: Avail
  Data: Gate Association for Teaching and Education. e-mail: iji@ogu.edu.tr; Web site: http://e-iji.net/
– Name: PeerReviewed
  Label: Peer Reviewed
  Group: SrcInfo
  Data: Y
– Name: Pages
  Label: Page Count
  Group: Src
  Data: 16
– Name: DatePubCY
  Label: Publication Date
  Group: Date
  Data: 2022
– 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="%22Elementary+Education%22">Elementary Education</searchLink>
– Name: Subject
  Label: Descriptors
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22Physical+Education%22">Physical Education</searchLink><br /><searchLink fieldCode="DE" term="%22Learning+Motivation%22">Learning Motivation</searchLink><br /><searchLink fieldCode="DE" term="%22Elementary+School+Students%22">Elementary School Students</searchLink><br /><searchLink fieldCode="DE" term="%22Scores%22">Scores</searchLink><br /><searchLink fieldCode="DE" term="%22Student+Attitudes%22">Student Attitudes</searchLink><br /><searchLink fieldCode="DE" term="%22Models%22">Models</searchLink><br /><searchLink fieldCode="DE" term="%22Student+Motivation%22">Student Motivation</searchLink>
– Name: ISSN
  Label: ISSN
  Group: ISSN
  Data: 1694-609X
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: The distribution map of physical education learning motivation could provide information about the electability of motivational items (questionnaires) distributed to several elementary school students. In more detail, this study would analyze the grouping of the electability level of physical education learning motivation items in elementary schools through a combination of standard deviation (SD) values and logit mean scores. Twenty-one students aged 13-14 years participated in this study by filling out a motivation to learn physical education questionnaire. The data analysis technique was performed through Rasch modeling assisted by the Winsteps 3.75 application. The results indicated that there were variations in the level of electability of physical education learning motivation items. The grouping was based on several item categories, including extremely difficult to get elected item category with a logit value greater than + 1SD; difficult to get elected item category with a value of 0.0 logit +1 SD; easy to get elected item category with a value of 0.0 logit -1 SD; and extremely easy to get elected item category with a value smaller than --SD. An ideal set of motivation items could identify the various motivations of students with diverse levels of motivation.
– Name: AbstractInfo
  Label: Abstractor
  Group: Ab
  Data: As Provided
– Name: DateEntry
  Label: Entry Date
  Group: Date
  Data: 2022
– Name: AN
  Label: Accession Number
  Group: ID
  Data: EJ1341767
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=eric&AN=EJ1341767
RecordInfo BibRecord:
  BibEntity:
    Languages:
      – Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 16
        StartPage: 815
    Subjects:
      – SubjectFull: Physical Education
        Type: general
      – SubjectFull: Learning Motivation
        Type: general
      – SubjectFull: Elementary School Students
        Type: general
      – SubjectFull: Scores
        Type: general
      – SubjectFull: Student Attitudes
        Type: general
      – SubjectFull: Models
        Type: general
      – SubjectFull: Student Motivation
        Type: general
    Titles:
      – TitleFull: An Analysis of the Distribution Map of Physical Education Learning Motivation through Rasch Modeling in Elementary School
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Nur, Lutfi
      – PersonEntity:
          Name:
            NameFull: Yulianto, Ade
      – PersonEntity:
          Name:
            NameFull: Suryana, Dodi
      – PersonEntity:
          Name:
            NameFull: Malik, Arief Abdul
      – PersonEntity:
          Name:
            NameFull: Ardha, Muchamad Arif Al
      – PersonEntity:
          Name:
            NameFull: Hong, Fan
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 04
              Type: published
              Y: 2022
          Identifiers:
            – Type: issn-print
              Value: 1694-609X
          Numbering:
            – Type: volume
              Value: 15
            – Type: issue
              Value: 2
          Titles:
            – TitleFull: International Journal of Instruction
              Type: main
ResultId 1