statistically significant

[Clarashinta Canggih]

hello

I have read the latest manual book, however I got confused on how to test the significance of an estimate. In the manual it mentioned that   "GSCA Pro does not provide a t-test (Estimate/SE) and its p value because this test is a parametric test assuming the normality of a parameter estimate. Such a parametric test is not consistent with GSCA which typically does not require a distributional assumption."

So, how we test the significance? 

[Gyeongcheol Cho]

Hi 

GSCA provides the 95% confidence intervals (CI) of model parameter estimates. If the 95%CI of a parameter estimate does not contain zero, the parameter estimate is statistically significant.

Best,

Gyeongcheol

[Clarashinta Canggih]

Does not contain zero means, absolute 0.00? so it means that if the CI is 0.3 for an example or even negative it is still considered as statistically significant? 

Another question, I try to run mediation analysis but my apps suddenly closed. Additionally, the  “Conditional Process Analysis”  option can not be chose.  What happen ya?

Furthermore Can we run moderating in GSCA?

Thank you 

[Gyeongcheol Cho]

Let me give you an example. As shown below, the 95% CI of the path coefficient estimate from OP to OI is [.234, .476]. This interval does not contain zero, indicating that the path coefficient estimate is statistically significant.

[Clarashinta Canggih]

Thank you for your explanation

[123 456]

I would like to follow up a question. I tested parameter estimates and one of the CI is in the range of 0.001 to 0.2. Based on the CI, it does not contain zero. However, I calculate T value by using estimate divide by SE, and it turned out t value is less than 2. Should I just report CI as 0.001 to 0.2 and claim it significant ? Or I have to report T value and state it as non-significant because t value is less than 2.  

[Gyeongcheol Cho]

You should report the CI. Estimate/SE can be interpreted as a value of T-statistics under the normality assumption, but GSCA typically does not make the assumption.

Best,

Gyeongcheol

[Rahman Manda]

how about OI-> AC_Love where [-515,.-307] is it significant or not ?

[heungsun.hwang]

As shown in the manual, an estimate can be considered statistically significant at .05 level, if its 95% CI does not include 0. Thus, the path from OI to AC_Love is considered statistically signficant because 0 is not included in its 95% CI.

[Rahman Manda]

i'm sorry but i want to ask one more question. 

is it PVE in GSCA pro same with AVE in GeSCA web ? 

[Rahman Manda]

another question, from that 95%CI value if not significant then we can say that Hyphotesis is rejected ?

[Gyeongcheol Cho]

Their values would be the same. GSCA Pro uses PVE for components, as AVE is typically used to describe a property of factors.

Best,

Gyeongcheol