{"id":"https://openalex.org/W2257120318","doi":null,"title":"Out of the Cage of Shadows","display_name":"Out of the Cage of Shadows","publication_year":2015,"publication_date":"2015-11-10","ids":{"openalex":"https://openalex.org/W2257120318","mag":"2257120318"},"language":"en","primary_location":{"id":"mag:2257120318","doi":null,"is_oa":true,"landing_page_url":"https://arxiv.org/pdf/1511.03120v1","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null},"volume":null,"type":"preprint","is_traditional":true,"indexed_in":[],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1511.03120v1","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5087366961","display_name":"R. Harald Baayen","orcid":"https://orcid.org/0000-0003-3178-3944","observed_orcids":["https://orcid.org/0000-0003-3178-3944"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"R. Harald Baayen","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0003-3178-3944","affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019071696","display_name":"Shravan Vasishth","orcid":"https://orcid.org/0000-0003-2027-1994","observed_orcids":["https://orcid.org/0000-0003-2027-1994"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shravan Vasishth","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0003-2027-1994","affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018754372","display_name":"Douglas M. Bates","orcid":"https://orcid.org/0000-0001-8316-9503","observed_orcids":["https://orcid.org/0000-0001-8316-9503"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Douglas M. Bates","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0001-8316-9503","affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5079686333","display_name":"Reinhold M. Kliegl","orcid":"https://orcid.org/0000-0002-0180-8488","observed_orcids":["https://orcid.org/0000-0002-0180-8488"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Reinhold Kliegl","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0002-0180-8488","affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10243","display_name":"Statistical Methods and Bayesian Inference","score":0.9843999743461609,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10243","display_name":"Statistical Methods and Bayesian Inference","score":0.9843999743461609,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13284","display_name":"Psychology Research and Bibliometrics","score":0.002199999988079071,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10465","display_name":"Neurobiology of Language and Bilingualism","score":0.0015999999595806003,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/generalized-additive-mixed-models","display_name":"generalized additive mixed models","score":0.968999981880188},{"id":"https://openalex.org/keywords/linear-mixed-models","display_name":"linear mixed models","score":0.6940000057220459},{"id":"https://openalex.org/keywords/time-varying-interactions","display_name":"time-varying interactions","score":0.6430000066757202},{"id":"https://openalex.org/keywords/psycholinguistic-experiment","display_name":"psycholinguistic experiment","score":0.6489999890327454},{"id":"https://openalex.org/keywords/data-driven-analysis","display_name":"data-driven analysis","score":0.45399999618530273}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6215947270393372},{"id":"https://openalex.org/C119043178","wikidata":"https://www.wikidata.org/wiki/Q320723","display_name":"Covariate","level":2,"score":0.6041100025177002},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.5201692581176758},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.5132627487182617},{"id":"https://openalex.org/C2777027219","wikidata":"https://www.wikidata.org/wiki/Q1284190","display_name":"Constant (computer programming)","level":2,"score":0.4890175759792328},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4439356327056885},{"id":"https://openalex.org/C16012445","wikidata":"https://www.wikidata.org/wiki/Q1501135","display_name":"Mixed model","level":2,"score":0.4348411560058594},{"id":"https://openalex.org/C163175372","wikidata":"https://www.wikidata.org/wiki/Q3339222","display_name":"Linear model","level":2,"score":0.42455410957336426},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.4242265522480011},{"id":"https://openalex.org/C168743327","wikidata":"https://www.wikidata.org/wiki/Q1826427","display_name":"Random effects model","level":3,"score":0.4163784980773926},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.37312692403793335},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.3320055603981018},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.26728373765945435},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.26102709770202637},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.14039698243141174},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C95190672","wikidata":"https://www.wikidata.org/wiki/Q815382","display_name":"Meta-analysis","level":2,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"mag:2257120318","doi":null,"is_oa":true,"landing_page_url":"https://arxiv.org/pdf/1511.03120v1","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null}],"best_oa_location":{"id":"mag:2257120318","doi":null,"is_oa":true,"landing_page_url":"https://arxiv.org/pdf/1511.03120v1","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":45,"referenced_works":["https://openalex.org/W631551527","https://openalex.org/W1566799665","https://openalex.org/W1569110048","https://openalex.org/W1604065854","https://openalex.org/W1678356000","https://openalex.org/W1897139626","https://openalex.org/W1955927543","https://openalex.org/W1986115513","https://openalex.org/W1987838173","https://openalex.org/W1993631132","https://openalex.org/W2013385108","https://openalex.org/W2024081693","https://openalex.org/W2024232529","https://openalex.org/W2051909818","https://openalex.org/W2058653372","https://openalex.org/W2070230130","https://openalex.org/W2072196282","https://openalex.org/W2086540121","https://openalex.org/W2088581336","https://openalex.org/W2094074881","https://openalex.org/W2105824687","https://openalex.org/W2108096958","https://openalex.org/W2108228881","https://openalex.org/W2109326756","https://openalex.org/W2115709314","https://openalex.org/W2119160928","https://openalex.org/W2122896223","https://openalex.org/W2123565526","https://openalex.org/W2136105491","https://openalex.org/W2144083456","https://openalex.org/W2145860152","https://openalex.org/W2149417367","https://openalex.org/W2150630862","https://openalex.org/W2158468360","https://openalex.org/W2165335512","https://openalex.org/W2291672544","https://openalex.org/W2325526696","https://openalex.org/W2329873939","https://openalex.org/W2362396397","https://openalex.org/W2487770199","https://openalex.org/W2582743722","https://openalex.org/W2911964244","https://openalex.org/W2949227737","https://openalex.org/W3035751571","https://openalex.org/W4233552088"],"related_works":["https://openalex.org/W2951169199","https://openalex.org/W2949834243","https://openalex.org/W3171824216","https://openalex.org/W7098431590","https://openalex.org/W2787779197","https://openalex.org/W4381716240","https://openalex.org/W2613892991","https://openalex.org/W3154856425","https://openalex.org/W7100149517","https://openalex.org/W3036620372"],"abstract_inverted_index":{"Unlike":[0],"molecules":[1],"or":[2],"plots":[3],"of":[4,33,49,60,121,150,177,193,206],"barley,":[5],"subjects":[6],"in":[7,36,46,51,187,215],"psycholinguistic":[8],"experiments":[9],"are":[10,185,197],"intelligent":[11],"beings":[12],"that":[13],"depend":[14],"for":[15],"their":[16,22],"survival":[17],"on":[18,131],"constant":[19],"adaptation":[20],"to":[21,107,156,172],"environment.":[23],"This":[24],"study":[25],"presents":[26],"three":[27],"data":[28,109,171],"sets":[29],"documenting":[30],"the":[31,47,52,81,132,139,151,161,190,204,219],"presence":[32],"adaptive":[34,40,179,183],"processes":[35,41,184],"psychological":[37],"experiments.":[38],"These":[39],"leave":[42],"a":[43,69,127],"statistical":[44],"footprint":[45],"form":[48],"autocorrelations":[50],"residual":[53],"error":[54],"associated":[55],"with":[56,80,92,110],"by-subject":[57],"time":[58,94,111],"series":[59,112],"trial-to-trial":[61],"responses.":[62],"Generalized":[63],"additive":[64],"mixed":[65,154],"models":[66],"(GAMMs)":[67],"provide":[68,103,116],"unified":[70],"framework":[71],"within":[72],"which":[73,157,168],"both":[74],"factorial":[75],"predictors":[76,120],"and":[77,90,98,175],"covariates":[78],"given":[79],"experimental":[82,93,108,170],"design,":[83],"as":[84,86,124,126],"well":[85,125],"non-linear":[87],"random":[88,133],"effects":[89,134],"interactions":[91],"can":[95],"be":[96,173,209,214],"uncovered":[97],"evaluated.":[99],"GAMMs":[100],"not":[101],"only":[102],"substantially":[104],"improved":[105,117],"fits":[106],"structure,":[113],"but":[114,212],"also":[115],"insight":[118],"into":[119],"theoretical":[122],"interest,":[123],"more":[128],"refined":[129],"window":[130],"structure.":[135],"Our":[136],"results":[137,192],"challenge":[138],"standard":[140,159],"advocated":[141],"by":[142,165,218],"Barr":[143,194],"et":[144,195],"al.":[145,196],"(2013).":[146],"The":[147],"analytical":[148],"cage":[149],"maximal":[152],"linear":[153],"model":[155],"this":[158],"confines":[160],"analyst":[162],"is":[163],"motivated":[164],"simulation":[166,191],"studies":[167],"presuppose":[169],"sterile,":[174],"free":[176],"any":[178],"processes.":[180],"However,":[181],"when":[182],"present":[186],"real":[188],"data,":[189,203],"no":[198],"longer":[199],"informative.":[200],"For":[201],"such":[202],"method":[205],"analysis":[207],"cannot":[208],"purely":[210],"design-driven,":[211],"must":[213],"part":[216],"driven":[217],"data.":[220]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":3}],"updated_date":"2026-11-04T10:54:05.112534","created_date":"2016-06-24T00:00:00"}
