chl
Nov 2, 2020 18:48
I'll keep this room opened in case you have other questions. Cheers (et bonne fin de journée également)
chl
Nov 2, 2020 18:47
There's a delete option (on hover) on the right side of each comment.
chl
Nov 2, 2020 18:45
P.S. I've deleted my comments on the original thread.
chl
Nov 2, 2020 18:43
@Silvia The global score. In addition you can use the item/total (or rest) score like we do in item analysis.
chl
Nov 2, 2020 18:43
All right! The fact is that EFA does not make any assumption regarding the distribution of the responses. So you can't use confidence interval, model fit indices and the like. But if the factior structure is close enough there's not much to worry about.
chl
Nov 2, 2020 18:40
Is this a unidimensional scale (i.e., you only have one factor)?
chl
Nov 2, 2020 18:40
Sure, at least you know what to respond to a reviewer would be picky about that. IN this case, using EFA alone I would simply summarize the difference between each loadings. If they don't vary too much (say, 0.1 on average), that's probably ok. Add to this the correlation between individual scores on run 1 and 2, with a confidence interval.
chl
Nov 2, 2020 18:34
I added some pointers in this related thread.
chl
Nov 2, 2020 18:33
The proper way to do that would be to use a confirmatory factor analysis with two groups (here, defined by the time of administration) and check whether the loadings are identical. That's why I said that EFA alone is not the best option.
chl
Nov 2, 2020 18:32
If you are happy with showing the loadings, then go ahead. It is even simpler in this case. I thought you were worried with score reliability.
chl
Nov 2, 2020 18:02
Are you still around, @Silvia?
chl
Nov 2, 2020 17:55
By the way, I took the liberty to clean up the comment threads by putting questions as an edits to your original post, and my answers as an edit to my reply. If you're happy with that, I suggest you delete all but the first and eventually last comment of yours.
chl
Nov 2, 2020 17:46
Last, compute the total score for each participants, and plot individual scores for the first run against scores for the 2nd run. How does it look?
chl
Nov 2, 2020 17:45
An alternative approach would be to carry out a principal component analysis, assuming individuals scores are stored as numerical values. Look at the scree plot (the distribution of eigenvalues) and the correlation circle (which summarizes the correlation between all variables/items). How do they compare?
chl
Nov 2, 2020 17:43
First idea: compute the correlation matrix on all items for the first run, then for the second run. Do they look close one to each other? This will indicate whether individuals keep answering in a coherent way to all items.
chl
Nov 2, 2020 17:42
I am no expert on SPSS but I do know how it used to work in the past ;-)
chl
Nov 2, 2020 17:23
As I understand it, you want to ensure that your scale adequatly reflects the construct it purports to measure, taking into account multiple administrations of that very same scale using stimuli of different polarity. Is that right?
chl
Nov 2, 2020 17:20
No problem! So, what's up with my earlier suggestions?
 

 Ten fold

CrossValidated's general room for gossip, grumbles, and idle c...
chl
Oct 26, 2020 12:15
@gung-ReinstateMonica Thanks!
chl
Oct 25, 2020 19:59
Dear mods, the and tags have probably already been merged and should safely been removed.
chl
Oct 22, 2020 07:23
I have very good memories of the start and development of this site, of all these first contributors, some of whom are still here, as well as of the moderators who succeeded one another. Thank you @whuber for the introduction and the compliment, I think it is you who has become the living memory of this site by now. I hope that the community will remain as enthusiastic as it was in the beginning and I wish all the best to the new moderators.
chl
Oct 21, 2020 19:40
Happy to see new moderators around there! Congrats @kjetilbhalvorsen and @Sycorax!
5
chl
Oct 15, 2020 17:08
@Glen_b I noticed that in one of your recent comments, I hope everything will go well.
chl
Oct 14, 2020 06:27
@Glen_b Tnanks! I suppose I'm okay, for the moment at least. I hope you're going well too.
chl
Oct 11, 2020 20:17
I have to go. Looking forward to talking to you later. Take care and best wishes
chl
Oct 11, 2020 20:05
Minor correction: Hopefully, you're still there, and contributing. The last point is important since I for one stopped to answer question for real once I was elected.
chl
Oct 11, 2020 20:03
And it's great new mods are joining the team!
chl
Oct 11, 2020 20:02
You're probably right. We started at the same time, and I didn't expect CV to last for so long with the same mods. Hopefully, you're still there.
chl
Oct 11, 2020 19:57
It's something to revisit the site after almost two years, but I'm happy to see you're all still around.
chl
Oct 11, 2020 19:55
@whuber I assume so. Mine is pretty calm (and sometimes boring, because mostly technical, but that's okay). Thanks again for your first welcome message, btw.
chl
Oct 11, 2020 19:52
@whuber No problem. I hope everything is going well for you in these times.
chl
Oct 11, 2020 19:46
So @gung-ReinstateMonica, you have twice my sympathy on this day of October! Cheers
chl
Oct 11, 2020 19:44
Oh, nice! I posted the same message twice! And I can delete either one. You're right @Scortchi-ReinstateMonica, that's what I probably miss the most: editing/deleting my/others' typos.
chl
Oct 11, 2020 19:18
Hi @whuber! Are you still around?
chl
Oct 11, 2020 19:02
(Too bad you and Glen resigned, even if I understand why. Best wishes to you both)
chl
Oct 11, 2020 18:57
@gung-ReinstateMonica Thanks! Shared pleasure.
chl
Oct 7, 2020 18:56
@gung-ReinstateMonica Thanks, @gung! Shared pleasure. It's really too bad that you resigned (even if I can understand why) but your voice probably still counts as much as it did in the past. Looking forward to learning from you again.
chl
Oct 6, 2020 20:57
Hi Scortchi! You finally made it! Congrats for the diamond, well deserved! I'm not interested in moderating again, I can help with my rep anyway.
chl
Oct 6, 2020 20:50
Happy to see that we're still in a ping-pong game from time to time in this room too. Anyway, I just wanted to say hi since I've been away for such a long time. I don't expect to be as active as I've used to be in the past, but I'm happy to see the site is going well. Best wishes
chl
May 28, 2015 20:46
@NickCox "We just wish N didn’t have to be so sarcastic." This is just ridiculous. Keep up the good work!
2
chl
Apr 22, 2015 13:35
@amoeba As it stands, this does not really fit SE standards. Either we need to convert the latest thread as a comment, or you will need to use a dedicated chat room (or create a new session of our (dead) Journal Club :-).
chl
Feb 1, 2015 19:18
@Andy FIY, I deleted it.
chl
Dec 17, 2014 22:34
@Vass Apart from the Elements of Statistical Learning that you will find online, Ensemble methods in data mining is interesting. Here is a very brief overview.
4
chl
Dec 9, 2014 17:00
@Gavin +1 Really nice answer!
chl
Sep 14, 2014 10:41
@Glen_b You're welcome! I think your answer deserves more attention because you clearly described how you approached the problem (as @whuber did), which is something I really like.
chl
Sep 14, 2014 10:37
@Frank Check the following system macros: di c(alpha) and di c(ALPHA).
 

 Skewed distribution

Community blog editors' cave
chl
Apr 22, 2015 13:27
Since we are just keeping this room open to unfroze it every two weeks, I was wondering if it would be worth posting a new message on our Meta or add a banner on the main site to call for contributions. /cc @whuber @Glen_b @mbq @cardinal @peterflom
chl
Jan 11, 2015 14:42
Keeping the room open...
chl
Dec 28, 2014 12:25
My turn then: Happy Xmas (a little late) and new Year's Eve (a little early)!
chl
Oct 13, 2014 20:19
Discussing about the site itself is a good idea, IMO. Book reviews, conference announcement/wrap-up, or case studies would also be welcome. Indeed, these topics would not overlap with the main site. So, I would be happy with the above proposal, which I only noticed today. My bad!