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Marcos Ancelovici: Discourse/framing, repertoires, skills acquisition, Participant identity and development, emotions and participation, problem-solving through protests, causal mechanisms that could apply to these cases.
To account for age-related differences in recognition performance, we fitted generalized linear mixed models (GLMMs) including age, trial type (target present or not present) and rotation (frontal or rotated) as fixed effects and participant identity as a random effect.
In the analysis of the long-term recognition experiments, we again used a binomial GLMM nullmodel with logit-link including age, trial type (target present or not present) and rotation (frontal or rotated) as fixed effects and participant identity as a random effect.
Also data sets used were anonymous of participant identity.
Each questionnaire was coded to protect participant identity.
The manual coding carried the participant identity [sex, tag number, and marital status] and group number as text locators.
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Participant identities were then separated to account for individual contributions with each of the students' original inputs, edits, and comments counted as single contributions.
The names of the districts have been hidden to protect study participant identities.
Re-identification requires researchers to break the code in place to protect participant identities.
In order to protect participant identities, their identifying numbers have been randomized for this study.
Participant identities were kept anonymous to the IBM team scoring the submissions.
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