Every worked design in the lexsync repository ships as a browser experiment, written by the same pipeline that emits the PsychoPy and OpenSesame scripts and rendered from the same declarative event list. These are build artefacts rather than mock-ups. Each is a single HTML file carrying its own trial list, so it runs by being opened.
Reproducing Andrews (1989): frequency x orthographic neighbourhood size (Coltheart's N), a 2x2 of words with every cell matched on length, in a lexical decision with one interleaved pseudoword per word.
Englishen_andrews_reproHigh versus low frequency English words, matched on length, neighbourhood density and OLD20, dealt into four counterbalancing lists that are themselves equated on those dimensions.
Englishen_balanced_listsversion 1 of 4High versus low frequency English words, matched on length, neighbourhood density and OLD20, dealt into four counterbalancing lists that are themselves equated on those dimensions.
Englishen_balanced_listsversion 2 of 4High versus low frequency English words, matched on length, neighbourhood density and OLD20, dealt into four counterbalancing lists that are themselves equated on those dimensions.
Englishen_balanced_listsversion 3 of 4High versus low frequency English words, matched on length, neighbourhood density and OLD20, dealt into four counterbalancing lists that are themselves equated on those dimensions.
Englishen_balanced_listsversion 4 of 4Cued semantic categorisation: concrete nouns judged against a narrow or a broad category cue, with non-member foils as fillers, Latin-square counterbalanced over two lists so no target repeats within a list.
Englishen_categorisationversion 1 of 2Cued semantic categorisation: concrete nouns judged against a narrow or a broad category cue, with non-member foils as fillers, Latin-square counterbalanced over two lists so no target repeats within a list.
Englishen_categorisationversion 2 of 2English words spread over the ranks of frequency in the pool, with the tails of length, neighbourhood density and OLD20 trimmed by tolerance windows, for regression / mixed-model analysis.
Englishen_freqcontinuousHigh versus low frequency English words, matched on length, neighbourhood density and OLD20.
Englishen_freqcontrastLexical decision: real words versus length-matched, orthographically legal pseudowords (deterministically generated).
Englishen_lexdecEnglish lexical decision with a feedback-bearing practice block and interleaved fillers, neither of which is analysed.
Englishen_lexdec_blocksLexical decision with subsyllabic (Wuggy-style) pseudowords: real words versus length-matched pseudowords built by swapping whole onset/nucleus/coda constituents.
Englishen_lexdec_wuggyDense versus sparse orthographic neighbourhoods (Coltheart's N) in English, matched on length and frequency.
Englishen_ndensityPriming: related versus unrelated prime-target pairs, Latin-square counterbalanced so each target appears once per list.
Englishen_primingversion 1 of 2Priming: related versus unrelated prime-target pairs, Latin-square counterbalanced so each target appears once per list.
Englishen_primingversion 2 of 2Prime-target pairs spread over the ranks of target frequency, with the tails of target length and prime-target orthographic overlap trimmed by tolerance windows; Latin-square counterbalanced over two lists.
Englishen_priming_continuousversion 1 of 2Prime-target pairs spread over the ranks of target frequency, with the tails of target length and prime-target orthographic overlap trimmed by tolerance windows; Latin-square counterbalanced over two lists.
Englishen_priming_continuousversion 2 of 2Priming with a per-trial prime duration read from the items, which sets the stimulus-onset asynchrony, and a jittered inter-trial interval, both recorded as trial-level variables.
Englishen_priming_jitterversion 1 of 2Priming with a per-trial prime duration read from the items, which sets the stimulus-onset asynchrony, and a jittered inter-trial interval, both recorded as trial-level variables.
Englishen_priming_jitterversion 2 of 2Reproducing Rastle, Davis & New (2004): masked priming of word targets by transparent, opaque and orthographic (form) primes, each against an unrelated baseline, in a lexical decision with interleaved nonword fillers, Latin-square counterbalanced over two lists.
Englishen_rastle_reproversion 1 of 2Reproducing Rastle, Davis & New (2004): masked priming of word targets by transparent, opaque and orthographic (form) primes, each against an unrelated baseline, in a lexical decision with interleaved nonword fillers, Latin-square counterbalanced over two lists.
Englishen_rastle_reproversion 2 of 2High versus low frequency English words in three disjoint matched item sets (items as a random factor).
Englishen_resampleversion 1 of 3High versus low frequency English words in three disjoint matched item sets (items as a random factor).
Englishen_resampleversion 2 of 3High versus low frequency English words in three disjoint matched item sets (items as a random factor).
Englishen_resampleversion 3 of 3High versus low frequency English words, matched on length, syllable count and bigram frequency (a phonotactic-probability proxy).
Englishen_richdimSelf-paced reading: grammatical versus ungrammatical sentences presented region by region, with a comprehension question.
Englishen_sprversion 1 of 2Self-paced reading: grammatical versus ungrammatical sentences presented region by region, with a comprehension question.
Englishen_sprversion 2 of 2Concrete nouns from a supplied candidate pool, split by frequency and matched item by item on length, neighbourhood density and OLD20.
Englishen_supplied_poolHigh versus low frequency Spanish words, matched on length, neighbourhood density and OLD20.
Spanishes_freqcontrastReproducing Gonzalez Alonso et al. (2025): feminine versus masculine Spanish words matched on word frequency and number of letters, the origin study's natural-language gender-assignment task.
Spanishes_gender_reproSpanish lexical decision: real words, accented ones included, versus length-matched, orthographically legal pseudowords (deterministically generated).
Spanishes_lexdecDense versus sparse orthographic neighbourhoods (Coltheart's N) in Spanish, matched on length and frequency.
Spanishes_ndensityHigh versus low frequency Mandarin Chinese two-character words, matched on character-length and character-level neighbourhood (N, OLD20).
Chinesezh_freqcontrast