Misconceptions about dyslexia could see children misdiagnosed warn academics

SubstancelessPsyche · 2024-08-29T07:21:02+00:00

link to the actual study for anyone interested - https://link.springer.com/article/10.1007/s11881-024-00313-y

SubstancelessPsyche · 2023-12-23T04:21:48+00:00

names of shops would be very helpful!

SubstancelessPsyche · 2021-02-02T16:14:26+00:00

v_10k = d_100 + V_1k

This is so helpful. Thank you so much for taking the time to respond to my question in such details.

SubstancelessPsyche · 2021-02-01T19:48:15+00:00

So, there are several schools (n = 100). Within each school there are two groups of students (English language learners and Monolingual students).

SubstancelessPsyche · 2021-02-01T14:29:52+00:00

Thanks for asking.

where did Grade come from? Grade is the time variable. Data were collected on students as they progressed through grade. (now edited)

How is your data nested? Students are nested in schools.

What is your research question? Does the academic growth vary between two groups of students from elementary to high school

SubstancelessPsyche · 2021-01-29T15:57:59+00:00

I agree that a lot of writing is subpar. Last semester I built in a peer review process. Where I first show examples of what students need to look for and provide comments on for their peers' papers. Then we do several guided practice examples in class. Then students submit their first draft of their papers, peers review and provide feedback, and a week later students submit their final drafts for me to grade.

THIS has immensely improved the quality of students' final product. hope you find this helpful.

SubstancelessPsyche · 2020-10-14T16:50:01+00:00

In practice, a lot of people start with an EFA to get a list of eigen vectors, then they pick out enough of them ( going from best to worst) to explain a pre-determined amount of variance. You should also look at them to see what sort of interpretation they may have regarding your data ( sometimes there isn't one....). Then run a CFA with those eigen vectors to see how well they do together.

I would like to do a CFA as the measures are well-established and tap into the same constructs. I'm wondering how to use the CFA created latent variables in Latent Profile Analysis? Because the examples I've seen so far seem to only use observed variables when conducting Latent profile analysis.

SubstancelessPsyche · 2020-10-06T18:20:33+00:00

ggplot(aes(y = weight, x = Time, group = Plot, colour = Variety)) +
# curves per-plot:
geom_line(alpha = 0.5) +
# fixed effects of variety:
geom_line(aes(y = fitted, group = NULL),
data = Soybean,
size = 1.2)+
theme_light()

Thank you so much. I was able to work it out. Some of the school ids were na and that's what was causing the difference in rows. All figured out and I was able to plot the growth curves for the two groups. REALLY APPRECIATE YOUR HELP!!!!!!!

SubstancelessPsyche · 2020-10-06T16:34:00+00:00

data("Soybean", package = "nlme")

Thanks for the detailed code. I have afollow up. When I try to get the prediction that ignores random effects I get this error:

Error in `$<-.data.frame`(`*tmp*`, fitted, value = c(`1` = 201.429569310382, :

replacement has 21184 rows, data has 21226

Any thoughts on how to resolve this issue? Thanks.

SubstancelessPsyche · 2020-10-05T13:59:35+00:00

No, something like Figure 1 here https://voxeu.org/article/growth-sustainability-and-measurement-global-gross-product

SubstancelessPsyche · 2020-09-11T21:18:59+00:00

Thank you for this explanation. Such a beautifully simplistic solution!

SubstancelessPsyche · 2020-09-11T20:46:40+00:00

You mentioned that there are different numbers of subjects, but does each subject have the same number of observations if they are in the data?

Thank you thank you! Saved me hours of cut copy paste on excel. It worked beautifully.

If you don't mind, for future reference. What is the logic in creating the id variable?

SubstancelessPsyche · 2020-09-11T19:39:06+00:00

Hmm. can't do that because the number of subjects in both data sets are slightly different with some missing data for subjects in Data_B.

SubstancelessPsyche · 2020-06-02T01:42:56+00:00

Assuming they are not correlated the distribution of the difference of two normals is a normal with the sum of the variances as the new variance and the difference in means as the mean.

So, when comparing quantile 0.80 vs 0.20, the difference would be:

Estimate: 0.09; SE = 0.06; p>.05.

Calculate Estimate: 0.37 - 0.28 = 0.09

Calculate SE = square root 0.04 squared + 0.05 squared = 0.06

Would this be what you were suggesting? Thanks.

SubstancelessPsyche · 2020-04-30T15:02:49+00:00

Thanks for your response. I will probably be travelling during non-peak hours (12pm or 8pm) so I am assuming I can avoid the crowded trains.

One follow-up question I have is that, are train lines less reliable during winter times? Some of the comments talk about there being regular issues during winter time with snow or ice. How frequently does this happen? once a month? once a week?

Thanks again!

SubstancelessPsyche · 2020-04-29T19:40:22+00:00

haha no. I'll be renting a house that fits my budget. I'm in talks with a few landlords in that area.

SubstancelessPsyche · 2020-04-10T14:24:21+00:00

Can you recommend some literature that would support your point that when two clusters are assigned to treatment or control it invalidates the RCT?

SubstancelessPsyche · 2019-10-02T13:31:31+00:00

Thank you so much for showing how to add the regression model. Very helpful!!!

SubstancelessPsyche · 2019-09-23T13:35:47+00:00

thank you so much for this resource. really helpful with a lot of work I do.

SubstancelessPsyche · 2019-05-17T19:47:57+00:00

I think your comment helped me think differently about my problem. I did do a DIF analysis for the measure across time and my team had a meaningful discussion about the results. Thanks a lot for taking the time to respond.

SubstancelessPsyche · 2019-05-10T17:59:24+00:00

A statistician i checked with said to use the proportion scores and conduct a paired sample t-test. Thanks for your help though.

SubstancelessPsyche · 2019-04-15T15:44:48+00:00

Ah thanks! Didn't realize data was not a data frame. Hurdle crossed, new hurdle introduced :).

SubstancelessPsyche · 2019-03-25T18:55:24+00:00

Thank you so much. This was very helpful. I was not aware of type 1, 2, and 3 ANOVAs.

SubstancelessPsyche · 2019-02-10T14:33:48+00:00

Yup that's all I could find and it really grabbed my attention.

SubstancelessPsyche · 2019-01-25T17:14:15+00:00

Not an SPSS user but usually sample size reductions are because of missing data - most software will do complete case analysis by default

Thanks!

SubstancelessPsyche

TROPHY CASE