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1,471 to 1,480 of 4,749 Results

Dataset for "Scrabble yourself to success: Methods in teaching transcription." Sep 27, 2022 Sönning, Lukas, 2022, "Dataset for "Scrabble yourself to success: Methods in teaching transcription."", https://doi.org/10.18710/2UJHHU, DataverseNO, V1 This dataset is from a quasi-experimental study that evaluated two methods for teaching phonemic transcription to university students of English: (i) the transcription of auditory stimuli and (ii) an activity-based approach employing a phonemic version of the classic board game S...
00_ReadMe_phon_scrabble.txt Sep 27, 2022 - Dataset for "Scrabble yourself to success: Methods in teaching transcription." Plain Text - 25.1 KB - MD5: aaf28a5af76ab12e599a2666c305714f Documentation file describing the dataset
Data_Protection_Impact_Assessment.pdf Sep 27, 2022 - Dataset for "Scrabble yourself to success: Methods in teaching transcription." Adobe PDF - 197.9 KB - MD5: 2cc9bbb495a92204451de9b2304afe0b Brief assessment of whether the open publication of the dataset is aligned with applicable legal and research-ethical rules and guidelines
phoneme_scrabble_tiles.pdf Sep 27, 2022 - Dataset for "Scrabble yourself to success: Methods in teaching transcription." Adobe PDF - 75.6 KB - MD5: 0c99439e0b6fe8310f67a2e1ded4f6ec Overview of phoneme scrabble tiles (for each symbol: points/value, number of tiles in game)
questionnaire.pdf Sep 27, 2022 - Dataset for "Scrabble yourself to success: Methods in teaching transcription." Adobe PDF - 49.7 KB - MD5: 36c1ca26bb1e2fb13ec0e5d64864760c Questionnaire eliciting background information on the student, including consent statement
teaching_transcription_data.csv Sep 27, 2022 - Dataset for "Scrabble yourself to success: Methods in teaching transcription." Comma Separated Values - 3.1 KB - MD5: 060c41cd3749d2d59b5922a3905746d2 Pretest and posttest results, including informant metadata
transcription_test_design.pdf Sep 27, 2022 - Dataset for "Scrabble yourself to success: Methods in teaching transcription." Adobe PDF - 80.4 KB - MD5: b5e70aa24f31e813ad0d94faac292b2d Design of test part 1: coverage of sub-variables (vowels, consonants, final devoicing, standard accuracy)
transcription_test.pdf Sep 27, 2022 - Dataset for "Scrabble yourself to success: Methods in teaching transcription." Adobe PDF - 363.2 KB - MD5: 3220daaf72991c2c9dc146de01a66440 Test used to measure "transcription ability"
transcription_test_scoring.pdf Sep 27, 2022 - Dataset for "Scrabble yourself to success: Methods in teaching transcription." Adobe PDF - 84.0 KB - MD5: 817df37814c265e5e977078a65d07575 Scoring of part 1 in transcription test
Replication Data for: A multivariate account of particle alternation after bare-form try in native varieties of English Sep 21, 2022 Tizón-Couto, David, 2022, "Replication Data for: A multivariate account of particle alternation after bare-form try in native varieties of English", https://doi.org/10.18710/GVUZWI, DataverseNO, V1 [Dataset abstract] This is the data and code from a multifactorial study reviewing the determinants of particle alternation after uninflected try in native varieties of English. The effects of a number of previously discussed and novel predictors (see Section 3.1 of the paper) ar...

Dataset for "Scrabble yourself to success: Methods in teaching transcription."

Sep 27, 2022

Sönning, Lukas, 2022, "Dataset for "Scrabble yourself to success: Methods in teaching transcription."", https://doi.org/10.18710/2UJHHU, DataverseNO, V1

This dataset is from a quasi-experimental study that evaluated two methods for teaching phonemic transcription to university students of English: (i) the transcription of auditory stimuli and (ii) an activity-based approach employing a phonemic version of the classic board game S...

00_ReadMe_phon_scrabble.txt

Sep 27, 2022 - Dataset for "Scrabble yourself to success: Methods in teaching transcription."

Plain Text - 25.1 KB -

Documentation file describing the dataset

Data_Protection_Impact_Assessment.pdf

Sep 27, 2022 - Dataset for "Scrabble yourself to success: Methods in teaching transcription."

Adobe PDF - 197.9 KB -

Brief assessment of whether the open publication of the dataset is aligned with applicable legal and research-ethical rules and guidelines

phoneme_scrabble_tiles.pdf

Sep 27, 2022 - Dataset for "Scrabble yourself to success: Methods in teaching transcription."

Adobe PDF - 75.6 KB -

Overview of phoneme scrabble tiles (for each symbol: points/value, number of tiles in game)

questionnaire.pdf

Sep 27, 2022 - Dataset for "Scrabble yourself to success: Methods in teaching transcription."

Adobe PDF - 49.7 KB -

Questionnaire eliciting background information on the student, including consent statement

teaching_transcription_data.csv

Sep 27, 2022 - Dataset for "Scrabble yourself to success: Methods in teaching transcription."

Comma Separated Values - 3.1 KB -

Pretest and posttest results, including informant metadata

transcription_test_design.pdf

Sep 27, 2022 - Dataset for "Scrabble yourself to success: Methods in teaching transcription."

Adobe PDF - 80.4 KB -

Design of test part 1: coverage of sub-variables (vowels, consonants, final devoicing, standard accuracy)

transcription_test.pdf

Sep 27, 2022 - Dataset for "Scrabble yourself to success: Methods in teaching transcription."

Adobe PDF - 363.2 KB -

Test used to measure "transcription ability"

transcription_test_scoring.pdf

Sep 27, 2022 - Dataset for "Scrabble yourself to success: Methods in teaching transcription."

Adobe PDF - 84.0 KB -

Scoring of part 1 in transcription test

Replication Data for: A multivariate account of particle alternation after bare-form try in native varieties of English

Sep 21, 2022

Tizón-Couto, David, 2022, "Replication Data for: A multivariate account of particle alternation after bare-form try in native varieties of English", https://doi.org/10.18710/GVUZWI, DataverseNO, V1

[Dataset abstract] This is the data and code from a multifactorial study reviewing the determinants of particle alternation after uninflected try in native varieties of English. The effects of a number of previously discussed and novel predictors (see Section 3.1 of the paper) ar...

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