1 |
Raw data for "Love me in L1, but hate me in L2: How native speakers and bilinguals rate the affectivity of words when feeling or thinking about them" ...
|
|
|
|
BASE
|
|
Show details
|
|
2 |
Raw data for "Love me in L1, but hate me in L2: How native speakers and bilinguals rate the affectivity of words when feeling or thinking about them" ...
|
|
|
|
BASE
|
|
Show details
|
|
3 |
Raw data for "Love me in L1, but hate me in L2: How native speakers and bilinguals rate the affectivity of words when feeling or thinking about them" ...
|
|
|
|
BASE
|
|
Show details
|
|
8 |
EmoPro – Emotional prototypicality for 1286 Spanish words: Relationships with affective and psycholinguistic variables
|
|
|
|
In: Faculty Publications (2021)
|
|
BASE
|
|
Show details
|
|
11 |
Affective and concreteness norms for 3,022 Croatian words ...
|
|
|
|
BASE
|
|
Show details
|
|
12 |
Affective and concreteness norms for 3,022 Croatian words ...
|
|
|
|
BASE
|
|
Show details
|
|
13 |
Emotional Content and Source Memory for Language: Impairment in an Incidental Encoding Task
|
|
|
|
BASE
|
|
Show details
|
|
14 |
Emotional content and source memory for language: impairment in an incidental encoding task
|
|
|
|
BASE
|
|
Show details
|
|
15 |
Processing of emotional words in bilinguals: Testing the effects of word concreteness, task type and language status ...
|
|
|
|
BASE
|
|
Show details
|
|
16 |
Moved by words:affective ratings for a set of 2,266 Spanish words in five discrete emotion categories
|
|
|
|
Abstract:
The two main theoretical accounts of the human affective space are the dimensional perspective and the discrete-emotion approach. In recent years, several affective norms have been developed from a dimensional perspective, including ratings for valence and arousal. In contrast, the number of published datasets relying on the discrete-emotion approach is much lower. There is a need to fill this gap, considering that discrete emotions have an effect on word processing above and beyond those of valence and arousal. In the present study, we present ratings from 1,380 participants for a set of 2,266 Spanish words in five discrete emotion categories: happiness, anger, fear, disgust, and sadness. This will be the largest dataset published to date containing ratings for discrete emotions. We also present, for the first time, a fine-grained analysis of the distribution of words into the five emotion categories. This analysis reveals that happiness words are the most consistently related to a single, discrete emotion category. In contrast, there is a tendency for many negative words to belong to more than one discrete emotion. The only exception is disgust words, which overlap least with the other negative emotions. Normative valence and arousal data already exist for all of the words included in this corpus. Thus, the present database will allow researchers to design studies to contrast the predictions of the two most influential theoretical perspectives in this field. These studies will undoubtedly contribute to a deeper understanding of the effects of emotion on word processing.
|
|
URL: https://eprints.lancs.ac.uk/id/eprint/80670/ https://doi.org/10.3758/s13428-016-0768-3
|
|
BASE
|
|
Hide details
|
|
18 |
Masked translation priming : varying language experience and word type with Spanish-English bilinguals
|
|
|
|
BASE
|
|
Show details
|
|
|
|