When should add COV in mirt.model()?
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jeremy keller
Sep 8, 2017, 3:49:57 AM9/8/17
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Specify the relationship between the latent factors. Estimating a correlation between factors is declared by joining the two factors with an asterisk (e.g., F1*F2)
1.How can I know whether F1 and F2 has relationship?
2.Suppose every factor has relationship with others, then I will add COV=F1*F2*Fn to each mirt model?
mirt package is really good, thanks for any help!
Phil Chalmers
Sep 8, 2017, 10:19:42 AM9/8/17
to jeremy keller, mirt-package
On Fri, Sep 8, 2017 at 3:49 AM, jeremy keller <778...@gmail.com> wrote:
Specify the relationship between the latent factors. Estimating a correlation between factors is declared by joining the two factors with an asterisk (e.g., F1*F2)1.How can I know whether F1 and F2 has relationship?
Do they theoretically correlate? And if so, is this supported by data (i.e., estimate it).
2.Suppose every factor has relationship with others, then I will add COV=F1*F2*Fn to each mirt model?
Yes.
mirt package is really good, thanks for any help!
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jeremy keller
Sep 8, 2017, 11:39:19 AM9/8/17
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What's the standard used to check whether COV should be used?
correlation coef >0.7?
在 2017年9月8日星期五 UTC+8下午10:19:42，Phil Chalmers写道：
在 2017年9月8日星期五 UTC+8下午10:19:42，Phil Chalmers写道：
On Fri, Sep 8, 2017 at 3:49 AM, jeremy keller <778...@gmail.com> wrote:Specify the relationship between the latent factors. Estimating a correlation between factors is declared by joining the two factors with an asterisk (e.g., F1*F2)1.How can I know whether F1 and F2 has relationship?Do they theoretically correlate? And if so, is this supported by data (i.e., estimate it).2.Suppose every factor has relationship with others, then I will add COV=F1*F2*Fn to each mirt model?Yes.
mirt package is really good, thanks for any help!
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Seongho Bae
Oct 4, 2017, 10:31:21 AM10/4/17
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If you have *one* construct and examine the contents in many ways, considering bifactor solutions.
Seongho
2017년 9월 9일 토요일 오전 12시 39분 19초 UTC+9, jeremy keller 님의 말:
2017년 9월 9일 토요일 오전 12시 39분 19초 UTC+9, jeremy keller 님의 말:
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