[R-meta] About how to interpret the following P-value from the result
英文科陳品誠
t571 @end|ng |rom w|g@h@tp@edu@tw
Sat Oct 28 11:08:38 CEST 2023
I'm currently performing a meta-analysis on the relationship between
"Digital game-based learning" and "English vocabulary acquisition". And I'm
using the random effect model for moderator analysis since the
heterogeneity effect is quite high. The following is the code I use for
performing the moderator analysis for one moderator in my dataset, "device
used":
> mod.Device <- rma.mv(yi = y, V = v,+ slab = studyID, data = DG,+ random = ~ 1 | studyID/effectsizeID,+ test = "t", method = "REML",+ mods = ~ Device)> mod.Device
and here is the result:
Multivariate Meta-Analysis Model (k = 29; method: REML)
Variance Components:
estim sqrt nlvls fixed factor
sigma^2.1 0.0663 0.2575 28 no studyID
sigma^2.2 0.0000 0.0000 29 no studyID/effectsizeID
Test for Residual Heterogeneity:
QE(df = 25) = 44.8744, p-val = 0.0086
Test of Moderators (coefficients 2:4):
F(df1 = 3, df2 = 25) = 0.8975, p-val = 0.4563
Model Results:
estimate se tval df pval ci.lb ci.ub
intrcpt 0.7746 0.1008 7.6856 25 <.0001 0.5670 0.9822 ***
DeviceMD 0.0898 0.1681 0.5343 25 0.5978 -0.2564 0.4361
DeviceN/A -0.2275 0.2338 -0.9732 25 0.3398 -0.7091 0.2540
DeviceV/A 0.2968 0.2936 1.0107 25 0.3219 -0.3080 0.9015
intrcpt = computer
DeviceMD = mobile devices
DeviceN/A = not available
DeviceV/A = VR or AR devices
---
and this is what I'm a little bit confused on. Can anyone help me clarify
whether my explanation is correct or wrong?
(1) the p-value under "*Test of moderators*" which is 0.4563, does this
mean that this moderator (device used) does not have a significant impact
on English vocabulary learning using digital game-based learning? (Since
the p-value here is larger than 0.05)
(2) the p-value of "*intrcpt*" which is <.0001, does this mean that using
computers to learn English vocabulary still has a significant difference
among the four types of devices?
陳品誠 (Nick Chen)
Email: t571 using wlgsh.tp.edu.tw <t5741 using wlgsh.tp.edu.tw>
[[alternative HTML version deleted]]
More information about the R-sig-meta-analysis
mailing list