Evidence map›Paper›PMID 42426438›Full record

ArticleBehavior research methods2026

The English spaced compound word database.

Casey M Riedmann, Barbara J Juhasz, Simon P Liversedge, Chuanli Zang

Abstract read
In one paragraph

Article in Behavior research methods, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Casey M RiedmannDepartment of Psychology, Wesleyan University, Middletown, CT, 06459, USA.
Barbara J JuhaszDepartment of Psychology, Wesleyan University, Middletown, CT, 06459, USA. bjuhasz@wesleyan.edu.
Simon P LiversedgeSchool of Psychology, Northumbria University, Newcastle, UK.
Chuanli ZangSchool of Psychology, Liverpool Hope University, Liverpool, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Compound words combine existing words to form a new concept. Spaced compound words represent one form of compound words in which the orthographic space is preserved between the two constituent words (e.g., coffee table). While recent research has mostly focused on unspaced compound words, spaced compound words offer important insight into the cognitive processes that support lexical retrieval and comprehension. Critically, whether readers process spaced compound words as single lexical units has important implications for how these items are stored and accessed in memory. To support future research, we developed the English Spaced Compound Word Database, wherein we collected familiarity, age-of-acquisition (AoA), and semantic transparency (ST) ratings for 1,162 spaced compound words. We conducted correlational analyses to compare these ratings across words, as well as across previously collected data on compound words' constituents. These analyses revealed a strong association overall between familiarity ratings and AoA, as well as familiarity and ST. When examining the relationship between ratings and the characteristics of a compound word's constituents, we found a strong relationship between frequency, AoA, and structural simplicity (i.e., number of characters, syllables, morphemes, and lexical similarity) within all three rating tasks. These findings provide a basis for testing future theoretical models of lexical processing and reading.

Indexed as

Databases, FactualReadingRecognition, PsychologySemanticsVocabularyHumansAge-of-acquisitionCompound wordsFamiliaritySemantic transparencySpaced compound words

Identifiers

PMID42426438
PMCPMC13350201

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.