Item response analysis with partial credit model, psychometric properties and measurement invariance of the multilanguage versions of intergenerational relationship quality scale in Iran

Abstract This research aims to assess multilanguage versions of the IRQS-2018 to determine Intergenerational relationship quality in the older persons. In a psychometric investigation, the instrument was completed by 707 persons whose age is older than 60; those people were from 6 populated ethnic g...
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Autor*in:	Asadollahi, Abdolrahim [verfasserIn] Pirzadeh, Nasim Abyad, Abdulrazzak

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2023

Schlagwörter:	Intergenerational Relationship Quality Psychometric Characteristics IRT Instrumental Study

Anmerkung:	© The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Übergeordnetes Werk:	Enthalten in: Current psychology - Springer US, 1988, 43(2023), 12 vom: 19. Sept., Seite 10881-10893
Übergeordnetes Werk:	volume:43 ; year:2023 ; number:12 ; day:19 ; month:09 ; pages:10881-10893

Links:	Volltext

DOI / URN:	10.1007/s12144-023-05126-7

Katalog-ID:	SPR055335926

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520			\|a Abstract This research aims to assess multilanguage versions of the IRQS-2018 to determine Intergenerational relationship quality in the older persons. In a psychometric investigation, the instrument was completed by 707 persons whose age is older than 60; those people were from 6 populated ethnic groups in Iran. It is noteworthy that the Rasch partial credit model (PCM) and the classic method were employed.The PCM showed that items 3 and 7 were misfitting in all versions of IRQS. Furthermore, consecutive response groupings for all items were situated in the predictable order, and the version of IRQS with 11-items had further interior consistency. Although Rasch analysis specified to pertinent of IRQS 11-Items, it should be assessed in additional investigations and deviating settings such as public residence grown-up adults.
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allfields	10.1007/s12144-023-05126-7 doi (DE-627)SPR055335926 (SPR)s12144-023-05126-7-e DE-627 ger DE-627 rakwb eng 150 VZ Asadollahi, Abdolrahim verfasserin (orcid)0000-0003-2265-5641 aut Item response analysis with partial credit model, psychometric properties and measurement invariance of the multilanguage versions of intergenerational relationship quality scale in Iran 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. Abstract This research aims to assess multilanguage versions of the IRQS-2018 to determine Intergenerational relationship quality in the older persons. In a psychometric investigation, the instrument was completed by 707 persons whose age is older than 60; those people were from 6 populated ethnic groups in Iran. It is noteworthy that the Rasch partial credit model (PCM) and the classic method were employed.The PCM showed that items 3 and 7 were misfitting in all versions of IRQS. Furthermore, consecutive response groupings for all items were situated in the predictable order, and the version of IRQS with 11-items had further interior consistency. Although Rasch analysis specified to pertinent of IRQS 11-Items, it should be assessed in additional investigations and deviating settings such as public residence grown-up adults. Intergenerational Relationship Quality (dpeaa)DE-He213 Psychometric Characteristics (dpeaa)DE-He213 IRT (dpeaa)DE-He213 Instrumental Study (dpeaa)DE-He213 Pirzadeh, Nasim aut Abyad, Abdulrazzak aut Enthalten in Current psychology Springer US, 1988 43(2023), 12 vom: 19. Sept., Seite 10881-10893 (DE-627)320612821 (DE-600)2021598-8 1936-4733 nnns volume:43 year:2023 number:12 day:19 month:09 pages:10881-10893 https://dx.doi.org/10.1007/s12144-023-05126-7 lizenzpflichtig Volltext SYSFLAG_0 GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 43 2023 12 19 09 10881-10893
spelling	10.1007/s12144-023-05126-7 doi (DE-627)SPR055335926 (SPR)s12144-023-05126-7-e DE-627 ger DE-627 rakwb eng 150 VZ Asadollahi, Abdolrahim verfasserin (orcid)0000-0003-2265-5641 aut Item response analysis with partial credit model, psychometric properties and measurement invariance of the multilanguage versions of intergenerational relationship quality scale in Iran 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. Abstract This research aims to assess multilanguage versions of the IRQS-2018 to determine Intergenerational relationship quality in the older persons. In a psychometric investigation, the instrument was completed by 707 persons whose age is older than 60; those people were from 6 populated ethnic groups in Iran. It is noteworthy that the Rasch partial credit model (PCM) and the classic method were employed.The PCM showed that items 3 and 7 were misfitting in all versions of IRQS. Furthermore, consecutive response groupings for all items were situated in the predictable order, and the version of IRQS with 11-items had further interior consistency. Although Rasch analysis specified to pertinent of IRQS 11-Items, it should be assessed in additional investigations and deviating settings such as public residence grown-up adults. Intergenerational Relationship Quality (dpeaa)DE-He213 Psychometric Characteristics (dpeaa)DE-He213 IRT (dpeaa)DE-He213 Instrumental Study (dpeaa)DE-He213 Pirzadeh, Nasim aut Abyad, Abdulrazzak aut Enthalten in Current psychology Springer US, 1988 43(2023), 12 vom: 19. Sept., Seite 10881-10893 (DE-627)320612821 (DE-600)2021598-8 1936-4733 nnns volume:43 year:2023 number:12 day:19 month:09 pages:10881-10893 https://dx.doi.org/10.1007/s12144-023-05126-7 lizenzpflichtig Volltext SYSFLAG_0 GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 43 2023 12 19 09 10881-10893
allfields_unstemmed	10.1007/s12144-023-05126-7 doi (DE-627)SPR055335926 (SPR)s12144-023-05126-7-e DE-627 ger DE-627 rakwb eng 150 VZ Asadollahi, Abdolrahim verfasserin (orcid)0000-0003-2265-5641 aut Item response analysis with partial credit model, psychometric properties and measurement invariance of the multilanguage versions of intergenerational relationship quality scale in Iran 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. Abstract This research aims to assess multilanguage versions of the IRQS-2018 to determine Intergenerational relationship quality in the older persons. In a psychometric investigation, the instrument was completed by 707 persons whose age is older than 60; those people were from 6 populated ethnic groups in Iran. It is noteworthy that the Rasch partial credit model (PCM) and the classic method were employed.The PCM showed that items 3 and 7 were misfitting in all versions of IRQS. Furthermore, consecutive response groupings for all items were situated in the predictable order, and the version of IRQS with 11-items had further interior consistency. Although Rasch analysis specified to pertinent of IRQS 11-Items, it should be assessed in additional investigations and deviating settings such as public residence grown-up adults. Intergenerational Relationship Quality (dpeaa)DE-He213 Psychometric Characteristics (dpeaa)DE-He213 IRT (dpeaa)DE-He213 Instrumental Study (dpeaa)DE-He213 Pirzadeh, Nasim aut Abyad, Abdulrazzak aut Enthalten in Current psychology Springer US, 1988 43(2023), 12 vom: 19. Sept., Seite 10881-10893 (DE-627)320612821 (DE-600)2021598-8 1936-4733 nnns volume:43 year:2023 number:12 day:19 month:09 pages:10881-10893 https://dx.doi.org/10.1007/s12144-023-05126-7 lizenzpflichtig Volltext SYSFLAG_0 GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 43 2023 12 19 09 10881-10893
allfieldsGer	10.1007/s12144-023-05126-7 doi (DE-627)SPR055335926 (SPR)s12144-023-05126-7-e DE-627 ger DE-627 rakwb eng 150 VZ Asadollahi, Abdolrahim verfasserin (orcid)0000-0003-2265-5641 aut Item response analysis with partial credit model, psychometric properties and measurement invariance of the multilanguage versions of intergenerational relationship quality scale in Iran 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. Abstract This research aims to assess multilanguage versions of the IRQS-2018 to determine Intergenerational relationship quality in the older persons. In a psychometric investigation, the instrument was completed by 707 persons whose age is older than 60; those people were from 6 populated ethnic groups in Iran. It is noteworthy that the Rasch partial credit model (PCM) and the classic method were employed.The PCM showed that items 3 and 7 were misfitting in all versions of IRQS. Furthermore, consecutive response groupings for all items were situated in the predictable order, and the version of IRQS with 11-items had further interior consistency. Although Rasch analysis specified to pertinent of IRQS 11-Items, it should be assessed in additional investigations and deviating settings such as public residence grown-up adults. Intergenerational Relationship Quality (dpeaa)DE-He213 Psychometric Characteristics (dpeaa)DE-He213 IRT (dpeaa)DE-He213 Instrumental Study (dpeaa)DE-He213 Pirzadeh, Nasim aut Abyad, Abdulrazzak aut Enthalten in Current psychology Springer US, 1988 43(2023), 12 vom: 19. Sept., Seite 10881-10893 (DE-627)320612821 (DE-600)2021598-8 1936-4733 nnns volume:43 year:2023 number:12 day:19 month:09 pages:10881-10893 https://dx.doi.org/10.1007/s12144-023-05126-7 lizenzpflichtig Volltext SYSFLAG_0 GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 43 2023 12 19 09 10881-10893
allfieldsSound	10.1007/s12144-023-05126-7 doi (DE-627)SPR055335926 (SPR)s12144-023-05126-7-e DE-627 ger DE-627 rakwb eng 150 VZ Asadollahi, Abdolrahim verfasserin (orcid)0000-0003-2265-5641 aut Item response analysis with partial credit model, psychometric properties and measurement invariance of the multilanguage versions of intergenerational relationship quality scale in Iran 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. Abstract This research aims to assess multilanguage versions of the IRQS-2018 to determine Intergenerational relationship quality in the older persons. In a psychometric investigation, the instrument was completed by 707 persons whose age is older than 60; those people were from 6 populated ethnic groups in Iran. It is noteworthy that the Rasch partial credit model (PCM) and the classic method were employed.The PCM showed that items 3 and 7 were misfitting in all versions of IRQS. Furthermore, consecutive response groupings for all items were situated in the predictable order, and the version of IRQS with 11-items had further interior consistency. Although Rasch analysis specified to pertinent of IRQS 11-Items, it should be assessed in additional investigations and deviating settings such as public residence grown-up adults. Intergenerational Relationship Quality (dpeaa)DE-He213 Psychometric Characteristics (dpeaa)DE-He213 IRT (dpeaa)DE-He213 Instrumental Study (dpeaa)DE-He213 Pirzadeh, Nasim aut Abyad, Abdulrazzak aut Enthalten in Current psychology Springer US, 1988 43(2023), 12 vom: 19. Sept., Seite 10881-10893 (DE-627)320612821 (DE-600)2021598-8 1936-4733 nnns volume:43 year:2023 number:12 day:19 month:09 pages:10881-10893 https://dx.doi.org/10.1007/s12144-023-05126-7 lizenzpflichtig Volltext SYSFLAG_0 GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 43 2023 12 19 09 10881-10893
language	English
source	Enthalten in Current psychology 43(2023), 12 vom: 19. Sept., Seite 10881-10893 volume:43 year:2023 number:12 day:19 month:09 pages:10881-10893
sourceStr	Enthalten in Current psychology 43(2023), 12 vom: 19. Sept., Seite 10881-10893 volume:43 year:2023 number:12 day:19 month:09 pages:10881-10893
format_phy_str_mv	Article
institution	findex.gbv.de
topic_facet	Intergenerational Relationship Quality Psychometric Characteristics IRT Instrumental Study
dewey-raw	150
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container_title	Current psychology
authorswithroles_txt_mv	Asadollahi, Abdolrahim @@aut@@ Pirzadeh, Nasim @@aut@@ Abyad, Abdulrazzak @@aut@@
publishDateDaySort_date	2023-09-19T00:00:00Z
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author	Asadollahi, Abdolrahim
spellingShingle	Asadollahi, Abdolrahim ddc 150 misc Intergenerational Relationship Quality misc Psychometric Characteristics misc IRT misc Instrumental Study Item response analysis with partial credit model, psychometric properties and measurement invariance of the multilanguage versions of intergenerational relationship quality scale in Iran
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topic_title	150 VZ Item response analysis with partial credit model, psychometric properties and measurement invariance of the multilanguage versions of intergenerational relationship quality scale in Iran Intergenerational Relationship Quality (dpeaa)DE-He213 Psychometric Characteristics (dpeaa)DE-He213 IRT (dpeaa)DE-He213 Instrumental Study (dpeaa)DE-He213
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title	Item response analysis with partial credit model, psychometric properties and measurement invariance of the multilanguage versions of intergenerational relationship quality scale in Iran
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title_full	Item response analysis with partial credit model, psychometric properties and measurement invariance of the multilanguage versions of intergenerational relationship quality scale in Iran
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title_sort	item response analysis with partial credit model, psychometric properties and measurement invariance of the multilanguage versions of intergenerational relationship quality scale in iran
title_auth	Item response analysis with partial credit model, psychometric properties and measurement invariance of the multilanguage versions of intergenerational relationship quality scale in Iran
abstract	Abstract This research aims to assess multilanguage versions of the IRQS-2018 to determine Intergenerational relationship quality in the older persons. In a psychometric investigation, the instrument was completed by 707 persons whose age is older than 60; those people were from 6 populated ethnic groups in Iran. It is noteworthy that the Rasch partial credit model (PCM) and the classic method were employed.The PCM showed that items 3 and 7 were misfitting in all versions of IRQS. Furthermore, consecutive response groupings for all items were situated in the predictable order, and the version of IRQS with 11-items had further interior consistency. Although Rasch analysis specified to pertinent of IRQS 11-Items, it should be assessed in additional investigations and deviating settings such as public residence grown-up adults. © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.
abstractGer	Abstract This research aims to assess multilanguage versions of the IRQS-2018 to determine Intergenerational relationship quality in the older persons. In a psychometric investigation, the instrument was completed by 707 persons whose age is older than 60; those people were from 6 populated ethnic groups in Iran. It is noteworthy that the Rasch partial credit model (PCM) and the classic method were employed.The PCM showed that items 3 and 7 were misfitting in all versions of IRQS. Furthermore, consecutive response groupings for all items were situated in the predictable order, and the version of IRQS with 11-items had further interior consistency. Although Rasch analysis specified to pertinent of IRQS 11-Items, it should be assessed in additional investigations and deviating settings such as public residence grown-up adults. © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.
abstract_unstemmed	Abstract This research aims to assess multilanguage versions of the IRQS-2018 to determine Intergenerational relationship quality in the older persons. In a psychometric investigation, the instrument was completed by 707 persons whose age is older than 60; those people were from 6 populated ethnic groups in Iran. It is noteworthy that the Rasch partial credit model (PCM) and the classic method were employed.The PCM showed that items 3 and 7 were misfitting in all versions of IRQS. Furthermore, consecutive response groupings for all items were situated in the predictable order, and the version of IRQS with 11-items had further interior consistency. Although Rasch analysis specified to pertinent of IRQS 11-Items, it should be assessed in additional investigations and deviating settings such as public residence grown-up adults. © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.
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title_short	Item response analysis with partial credit model, psychometric properties and measurement invariance of the multilanguage versions of intergenerational relationship quality scale in Iran
url	https://dx.doi.org/10.1007/s12144-023-05126-7
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author2	Pirzadeh, Nasim Abyad, Abdulrazzak
author2Str	Pirzadeh, Nasim Abyad, Abdulrazzak
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doi_str	10.1007/s12144-023-05126-7
up_date	2024-07-03T14:57:44.540Z
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Item response analysis with partial credit model, psychometric properties and measurement invariance of the multilanguage versions of intergenerational relationship quality scale in Iran

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