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Context Availability and Sentence Availability Ratings for 3,000 English Words and their Association with Lexical Processing Cover

Context Availability and Sentence Availability Ratings for 3,000 English Words and their Association with Lexical Processing

Open Access
|Mar 2022

Figures & Tables

Figure 1

Predicted relationships between context availability, sentence availability, imageability and semantic diversity. Negative relationships are shown in blue, and positive relationships in red.

Figure 2

Histograms showing the distribution of CA (M = 5.69, SD = 0.68) and SA (M = 5.94, SD = 0.67).

Figure 3

Scatterplot showing the relationship between context availability and sentence availability, with examples labelled.

Figure 4

Pearson correlations for CA, SA and other lexical variables, based on N available for each pairwise correlation.

Table 1

Factor loadings for an exploratory factor analysis using oblique rotation. Only words with data for all variables are included (N = 1,270). Loadings less than 0.3 are not displayed; lower part of table shows correlation between factors.

OCCURRENCERICHNESSAFFECT
CA0.5010.487
SA0.801
Zipf Freq0.801
AoA–0.774
Doc Count0.626
Senses0.574
SemD0.497–0.424
Concreteness0.874
Imageability0.936
Valence0.824
Arousal
Dominance0.857
BOI0.808
OCCURRENCERICHNESSAFFECT
Occurrence.15.24
Richness.15.12
Affect.24.12
Figure 5

Scree plot showing the factors identified by parallel analysis. Note that only Factors 1 and 2 had Eigen values above 1.0.

Table 2

Fixed effects predicting lexical decision accuracy (upper section) and RT (lower section in BLP data (N = 1724 words).

ESTIMATESEZP
Intercept2.990450.1437020.810<.001
Freq0.450560.064636.971<.001
AoA0.068370.066791.024.306
SemD0.151790.048443.133.002
Imageability0.273130.050485.410<.001
CA0.250460.053754.660<.001
SA0.335200.057635.817<.001
ESTIMATESEDFTP
Intercept586.03711.25937.50252.052<.001
Freq–18.9101.6282054.430–11.615<.001
AoA5.0071.7232042.3982.905.004
SemD–3.5381.3252094.082–2.671.008
Imageability–4.9621.2562039.830–3.951<.001
CA–10.9911.4352068.772–7.660<.001
SA–10.5011.5902092.945–6.602<.001

[i] Note: Model structure: LD ~ Freq + AoA + SemD + imageability + context availability + sentence availability + (1|participant) + (1|word).

Table 3

Fixed effects predicting lexical decision accuracy (upper section) and RT (lower section in ELP data (N = 2119 words).

ESTIMATESEZP
Intercept–2.442690.45169–5.408<.001
Freq0.421060.046319.092<.001
AoA–0.050540.01619–3.122.002
SemD0.683780.108896.279<.001
Imageability0.285970.0262410.896<.001
CA0.141050.056272.507.012
SA0.224290.059003.802<.001
ESTIMATESEDFTP
Intercept977.200425.22712236.183238.736<.001
Freq–28.78732.39312103.7453–12.029<.001
AoA3.26130.86412099.26463.774<.001
SemD–29.06955.91572098.5337–4.914<.001
Imageability–12.04021.33712098.8602–9.005<.001
CA–7.33092.99782099.0068–2.445.015
SA–14.18353.22802100.8502–4.394<.001

[i] Note: Model structure: LD ~ Freq + AoA + SemD + imageability + context availability + sentence availability + (1|participant) + (1|word).

DOI: https://doi.org/10.5334/joc.211 | Journal eISSN: 2514-4820
Language: English
Submitted on: Jul 9, 2021
Accepted on: Feb 18, 2022
Published on: Mar 9, 2022
Published by: Ubiquity Press
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year

© 2022 Ellen Taylor, Kate Nation, Yaling Hsiao, published by Ubiquity Press
This work is licensed under the Creative Commons Attribution 4.0 License.