Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Suppanut Sriutaisuk"'
Publikováno v:
Journal of Health Research, Vol 36, Iss 4, Pp 615-628 (2022)
Purpose – The purpose of this paper was to establish the psychometric properties of the Asian Family Characteristics Scale (AFCS) in the Thai population. Design/methodology/approach – The 30-item AFCS originally developed in the Malay language wa
Externí odkaz:
https://doaj.org/article/85f742a4b8904893a7e021a3c1970ccc
Publikováno v:
Journal of Health Research. 36:615-628
PurposeThe purpose of this paper was to establish the psychometric properties of the Asian Family Characteristics Scale (AFCS) in the Thai population.Design/methodology/approachThe 30-item AFCS originally developed in the Malay language was translate
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e41a639877c1b68506e0874b7c507ba7
https://doi.org/10.1108/jhr-06-2020-0219
https://doi.org/10.1108/jhr-06-2020-0219
Autor:
Suppanut Sriutaisuk, Yu Liu
Publikováno v:
Structural Equation Modeling: A Multidisciplinary Journal. 28:590-608
To ensure meaningful comparison of test scores across groups or time, measurement invariance (i.e., invariance of the general factor structure and the values of the measurement parameters) across g...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::20dbab1a3d5db5a0894952c54297ed59
https://doi.org/10.1080/10705511.2021.1876520
https://doi.org/10.1080/10705511.2021.1876520
Autor:
Suppanut Sriutaisuk
Publikováno v:
Proceedings of the 2022 AERA Annual Meeting.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a775372404b8a61c3d6815947df3c6bb
https://doi.org/10.3102/1890938
https://doi.org/10.3102/1890938
Publikováno v:
Structural Equation Modeling: A Multidisciplinary Journal. 27:468-482
A Monte Carlo simulation study is an essential tool for examining the behavior of various models in structural equation modeling (SEM). Recently, the tidyverse package in R is gaining popularity fo...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3be16a41279b35071bae79ca6c9b5a72
https://doi.org/10.1080/10705511.2019.1644515
https://doi.org/10.1080/10705511.2019.1644515
Social science research often utilizes measurement instruments that generate ordinal data (e.g., Likert scales). Many empirical studies also face the challenge of missing data, which can be addressed by performing multiple imputation followed by anal
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ca4b9c3e8f3679a60f795ead3ca3995a
Autor:
Liu, Yu, Suppanut Sriutaisuk
In many applied situations, the questionnaire items in measurement instruments do not approximate continuous, normally distributed variables but instead are ordinal. Properties of these instruments are often most accurately evaluated using structural
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d17e966aeff18fe02d2cd06101e62b64
Autor:
Suppanut Sriutaisuk, Yu Liu
In many applied situations, the questionnaire items in measurement instruments do not approximate continuous, normally distributed variables but instead are ordinal. Properties of these instruments are often most accurately evaluated using structural
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1ef861152a691d33e4277798e7c2d59b