Your English writing platform
Discover LudwigExact(60)
The questionnaire data was collected from a total of 20 diversified tasks.
Questionnaire data was evaluated using cluster analysis in order to construct a semantic model that describes the relationship between user, system and environment.
Using a set of questionnaire, data was collected from a group of Engineering Technology teachers and analysed using min score and percentage.
Parent questionnaire data was collected and matched at T0 and T2.
The raw questionnaire data was first reviewed to identify incomplete instruments and duplicate entries.
Questionnaire data was also collected to obtain a quantitative measure of student perceptions on their motivation, language learning opportunities, and level of learner autonomy derived from the project.
To achieve this, student questionnaire data was collected at baseline (pre-intervention) (T0), 3 months, (T2) and 12 months post-intervention (T4) and matched for each individual to assess the potential for program participation to support scientific and health literacy development, and for this to impact health and science-related knowledge, attitudes, and behaviors.
Questionnaire data was collected.
Detailed questionnaire data was collected from all subjects at baseline.
Questionnaire data was entered and stored in a secure database.
Statistical analysis of behavioural and questionnaire data was performed using SPSS 12.0 (SPSS Inc., Chicago).
Write better and faster with AI suggestions while staying true to your unique style.
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