lsjdocs/Ch14 @ Hosted Weblate

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Overview

Project website	lsj.readthedocs.io
Instructions for translators	Dear translators, welcome and thank you for your willingness to contribute to the translation of the “learning statistics with jamovi”-text book! There are a couple of things that I would like to ask you, in order to make your and my life a bit easier (manual corrections need time, so that what you translated won't appear until I fixed it): [1] There are buttons underneath the “Translation” box. One of them is “Automatic suggestions” which provides you with a machine translation of the text to be translated. This can just be copied into the target field for the translation and adjusted. [2] There are a couple of text elements that should be treated different from the rest of the text (please check: the automatic suggestions might translate this “wrong”): - placeholders (marked by “\|”) should not be translated: e.g., \|placeholder\| or \|placeholder\|_, among them is \|continuous\| which produces an icon denoting a continuous level of measurement - double backticks `: they typically are used for variable or analysis names – the variable names shouldn't be changed, for the analysis names, it is up to your discretion whether to translate them or not (I decided to rather go with the English analysis since the feature to set the UI language in jamovi is fairly new and it is relatively simple to figure out the translated name from the English one) - be careful that :doc:` does not contain spaces at the begin of the string, also ensure to leave the part enclosed by <> as it is (it points to a file; therefore, please double-check that the automatic translation did not translate it otherwise it will end up as a broken link) - figure references, e.g., :numref:`fig-normAreaSD` should not to be translated - (language-specific) quotation marks: there are buttons above the text field for the target translation that can be used to replace "'s by your language specific quotation marks [3] markdown-formattings for italicsor bold: please ensure that the stars are placed around the same word / meaning in the translation as in the original [4] if there doesn't exist a good translation of a particular word or technical term, either try "translation (original word / phrase)" or "original word / phrase" (this shows the original English term in italics either with a translation that you may not be completely happy with or without a translation Finally, I would like to suggest that you install LanguageTool (browser add-on) as an additional check that your translations are correct (however, LanguageTool might not be available for every language). Don't hesitate to contact me (@sjentsch) if you have questions or suggestions.
Project maintainers	sjentsch
Translation license	Creative Commons Attribution Share Alike 4.0 International
Translation process	Translations can be made directly. Translation suggestions can be made. Any authenticated user can contribute. The translation uses bilingual files.
Source code repository	`git@github.com:sjentsch/lsjDocs-i18n.git`
Repository branch	main
Last remote commit	Translated using Weblate (Chinese (Traditional Han script)) `b2f6c0ae` hugoalh authored a month ago
Last commit in Weblate	Translated using Weblate (Chinese (Traditional Han script)) `b2f6c0ae` hugoalh authored a month ago
Weblate repository	`https://hosted.weblate.org/git/lsjdocs/start/`
File mask	`*/LC_MESSAGES/Ch14.po`

9 days ago

String statistics

	Strings percent	Hosted strings	Words percent	Hosted words	Characters percent	Hosted characters
Total		11,577		539,573		3,153,412
Source		504		23,487		137,280
Translated	37%	4,357	16%	88,733	15%	491,472
Needs editing	0%	0	0%	0	0%	0
Read-only	4%	504	4%	23,487	4%	137,280
Failing checks	1%	15	1%	628	1%	4,028
Strings with suggestions	0%	0	0%	0	0%	0
Untranslated strings	62%	7,220	83%	450,840	84%	2,661,940

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None Resource updated lsjdocs Ch14 Chinese (Traditional Han script)	The “`zh_TW/LC_MESSAGES/Ch14.po`” file was changed. 4 months ago
None String added in the repository lsjdocs Ch14 Chinese (Traditional Han script)	English etc. Chinese (Traditional Han script) 0 characters edited Current translation Empty 4 months ago
None String added in the repository lsjdocs Ch14 Chinese (Traditional Han script)	English The difference in ``mood.gain`` for people treated with ``CBT`` and people given ``no.therapy``. Chinese (Traditional Han script) 0 characters edited Current translation Empty 4 months ago
None String added in the repository lsjdocs Ch14 Chinese (Traditional Han script)	English The difference in ``mood.gain`` for people given ``anxifree`` versus people given ``joyzepam``. Chinese (Traditional Han script) 0 characters edited Current translation Empty 4 months ago
None String added in the repository lsjdocs Ch14 Chinese (Traditional Han script)	English The difference in ``mood.gain`` for people given ``joyzepam`` versus people given the ``placebo``. Chinese (Traditional Han script) 0 characters edited Current translation Empty 4 months ago
None String added in the repository lsjdocs Ch14 Chinese (Traditional Han script)	English The difference in ``mood.gain`` for people given ``anxifree`` versus people given the ``placebo``. Chinese (Traditional Han script) 0 characters edited Current translation Empty 4 months ago
None String added in the repository lsjdocs Ch14 Chinese (Traditional Han script)	English The third option that I should briefly mention are “sum to zero” contrasts, called ``Simple`` contrasts in jamovi, which are used to construct pairwise comparisons between groups. Specifically, each contrast encodes the difference between one of the groups and a baseline category, which in this case corresponds to the first group: Chinese (Traditional Han script) 0 characters edited Current translation Empty 4 months ago
None String added in the repository lsjdocs Ch14 Chinese (Traditional Han script)	English Hmm. This isn’t the same output that we got last time. Not surprisingly, the regression output prints out the results for each of the three predictors separately, just like it did every other time we conducted a regression analysis. On the one hand we can see that the p-value for the ``therapyCBT`` variable is exactly the same as the one for the ``therapy`` factor \|nominal\| in our original ANOVA, so we can be reassured that the regression model is doing the same thing as the ANOVA did. On the other hand, this regression model is testing the ``druganxifree`` contrast and the ``drugjoyzepam`` contrast separately, as if they were two completely unrelated variables. It’s not surprising of course, because the poor regression analysis has no way of knowing that ``drugjoyzepam`` and ``druganxifree`` are actually the two different contrasts that we used to encode our three-level ``drug`` factor. As far as it knows, ``drugjoyzepam`` and ``druganxifree`` are no more related to one another than ``drugjoyzepam`` and ``therapyCBT``. However, you and I know better. At this stage we’re not at all interested in determining whether these two contrasts are individually significant. We just want to know if there’s an “overall” effect of ``drug``. That is, what we want jamovi to do is to run some kind of “model comparison” test, one in which the two “drug-related” contrasts are lumped together for the purpose of the test. Sound familiar? All we need to do is specify our null model, which in this case would include the ``therapyCBT`` predictor, and omit both of the drug-related variables, as in :numref:`fig-factorialanova11`\. Chinese (Traditional Han script) 0 characters edited Current translation Empty 4 months ago
None String added in the repository lsjdocs Ch14 Chinese (Traditional Han script)	English Obviously, there are no surprises here. That’s the exact same ANOVA that we ran earlier. Next, let’s run a regression using ``druganxifree``, ``drugjoyzepam`` and ``therapyCBT`` as the predictors. The results are shown in :numref:`fig-factorialanova10`. Chinese (Traditional Han script) 0 characters edited Current translation Empty 4 months ago
None String added in the repository lsjdocs Ch14 Chinese (Traditional Han script)	English Creating contrast variables is not too difficult to do using the jamovi ``Compute`` command to create a new variable. For example, to create the ``druganxifree`` variable, write this logical expression in the formula box: ``IF(drug == 'anxifree', 1, 0)``. Similarly, to create the new variable ``drugjoyzepam`` use this logical expression: ``IF(drug == 'joyzepam', 1, 0)``. Likewise for ``therapyCBT``: ``IF(therapy == 'CBT', 1, 0)``. You can see these new variables, and the corresponding logical expressions, in the \|clinicaltrial2\|_ data set. Chinese (Traditional Han script) 0 characters edited Current translation Empty 4 months ago

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