961 to 970 of 4,721 Results
Plain Text - 2.5 KB -
MD5: 85533e8643548bc27039b626f5e7667a
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Feb 29, 2024
Knell, Georgia; De Cuypere, Ludovic; Manouilidou, Christina, 2024, "Method in the madnessless: Exploring factors that impact the processing of two-suffixed complex words", https://doi.org/10.18710/R9IZSV, DataverseNO, V1
Dataset abstract The data collected includes lexical decision data and reaction time data from 56 participants. Three sets of 30 two-suffixed pseudowords were created, each based on a type of grammatical constraint attested in the literature, and presented along with 120 existing... |
Feb 29, 2024 -
Method in the madnessless: Exploring factors that impact the processing of two-suffixed complex words
Plain Text - 5.0 KB -
MD5: 3e7febccdaba4aeff3aee611e3f6dd04
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Feb 29, 2024 -
Method in the madnessless: Exploring factors that impact the processing of two-suffixed complex words
Comma Separated Values - 587.2 KB -
MD5: 4bd0939243891e5008ed798caddaf297
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Feb 29, 2024 -
Method in the madnessless: Exploring factors that impact the processing of two-suffixed complex words
Unknown - 9.1 KB -
MD5: d1a12760260251d19e4518ce9c090d05
R notebook with data analysis |
Feb 29, 2024 -
Method in the madnessless: Exploring factors that impact the processing of two-suffixed complex words
Adobe PDF - 271.6 KB -
MD5: 9b58b92e7cf04fc47e907aeb16bb796e
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Feb 29, 2024
Krug, Manfred; Vetter, Fabian; Sönning, Lukas, 2024, "Background data for: Latent-variable modeling of ordinal outcomes in language data analysis", https://doi.org/10.18710/WI9TEH, DataverseNO, V1
This dataset contains tabular files with information about the usage preferences of speakers of Maltese English with regard to 63 pairs of lexical expressions. These pairs (e.g. truck-lorry or realization-realisation) are known to differ in usage between BrE and AmE (cf. Algeo 20... |
Feb 29, 2024 -
Background data for: Latent-variable modeling of ordinal outcomes in language data analysis
Plain Text - 8.5 KB -
MD5: f28936391222a389a67ce021298512a2
Documentation file describing the dataset |
Feb 29, 2024 -
Background data for: Latent-variable modeling of ordinal outcomes in language data analysis
Tab-Separated Values - 4.4 KB -
MD5: 47177c0d70c56ff33f853a91f0e63517
Data table with information about the 63 items pairs used in the study |
Feb 29, 2024 -
Background data for: Latent-variable modeling of ordinal outcomes in language data analysis
Tab-Separated Values - 1.0 MB -
MD5: 75db3802663a158e123e2c6570f12c51
Data table containing the ratings provided by the 500 informants |