The English spaced compound word database
Clinical Snapshot
PICO Framework
| P — Population | English-language readers and psycholinguistic researchers; normative ratings collected from human participants rating 1,162 spaced compound words |
| I — Intervention | Development of a normative database providing familiarity, age-of-acquisition (AoA), and semantic transparency (ST) ratings for 1,162 English spaced compound words |
| C — Comparator | Correlational comparisons with existing databases of unspaced compound words and constituent word characteristics (frequency, AoA, structural simplicity) |
| O — Outcomes | Normative psycholinguistic ratings (familiarity, AoA, semantic transparency) and their inter-correlations; relationships between compound-level ratings and constituent-word properties |
Bottom Line
This paper presents the English Spaced Compound Word Database — a normative resource providing familiarity, age-of-acquisition, and semantic transparency ratings for 1,162 English spaced compound words (e.g., 'coffee table'). The study addresses a genuine gap: while unspaced compound words have been extensively normed, spaced compounds have been largely overlooked despite their theoretical importance for understanding lexical storage and retrieval. The correlational findings confirm expected relationships — familiar compounds tend to be acquired earlier and are more semantically transparent — and show that constituent word properties (frequency, AoA, structural complexity) systematically predict compound-level ratings. For clinicians and researchers in reading science, speech-language pathology, and cognitive neuropsychology, this database provides a valuable controlled stimulus set for experimental and clinical research. Limitations include the absence of participant demographic detail, no reported reliability statistics, and a likely American English sampling bias that warrants caution before applying norms to Australian or British populations. No behavioural validation data are provided. Overall, this is a methodologically sound normative study that will serve as a useful infrastructure resource for future research into compound word processing, reading disorders, and vocabulary development.
Key Findings
P Value: Not reported in the abstract
Effect Size: Described as 'strong associations' in the abstract; specific correlation coefficients not reported
Primary Outcome: Normative ratings (familiarity, age-of-acquisition, semantic transparency) for 1,162 English spaced compound words, with strong inter-correlations among ratings and with constituent word properties
Nnt Or Sensitivity: Not applicable — this is a normative database study; no NNT, sensitivity, or hazard ratio is relevant. Key metric is the breadth and reliability of normative ratings across 1,162 stimuli.
Confidence Interval: Not reported in the abstract
Clinical Application
The database is a research tool rather than a clinical intervention. Its direct clinical application lies in providing controlled stimulus materials for studies of reading disorders, vocabulary assessment, and language rehabilitation. Feasibility of use is high for researchers with access to the published database. In the Australian context, this database has relevance for researchers at Australian universities studying reading and language processing, and for speech-language pathologists developing or validating assessment tools for reading disorders. The RACGP and Speech Pathology Australia guidelines emphasise evidence-based assessment of reading and language; normative databases underpin the development of such tools. The TGA and PBS are not directly relevant as this is not a therapeutic intervention. Clinicians should note that Australian English familiarity norms may differ from those collected in a predominantly American English context, and local validation would be advisable before applying these norms to Australian clinical populations. Researchers in psycholinguistics, cognitive psychology, reading science, and speech-language pathology; clinicians and researchers studying lexical access, reading disorders (dyslexia, acquired alexia), and language rehabilitation
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.
References
- 1.Riedmann, C. M., Juhasz, B. J., Liversedge, S. P., & Zang, C. (2026). The English spaced compound word database. Behavior Research Methods. https://doi.org/10.3758/s13428-023-02214-1
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