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The mean responses of student groups are graphed for each question group and reported in tabular form alongside standard deviation and 95% confidence intervals.
Because each question group was focused on a different topic (reasons for choice, self-efficacy, etc)., it was expected that inter-item reliability across a larger group of questions and most inter-item correlations would be low.
The same comparison is also used for the post-test questionnaire and the evaluation of each particular question group that will be described for the post-test questionnaire responses.
To investigate this question, group studies are necessary.
The topics excluding those with 1 vote are considered as the best candidate topics for the associated question group.
In the control group, depending on the particular question, group responses sometimes reflected slightly increased acceptance of evolution and sometimes indicated slightly decreased acceptance of evolution.
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Further, multiple Likert scales had been used for different question groups (Edzie 2014).
These three factors were all of the instrumental motivation factors listed in this question grouping.
Table 8 further presents the correlations between the items in this question grouping.
The correcting significance levels for type I error using a Bonferroni correction (Myers and Well 1995) are also discussed for each question grouping.
As this question grouping is a subset of the MSLQ looking at students' performance motivation self-efficacy, high Cronbach's α results and widespread correlations are not surprising.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com