{"id":16731928,"url":"https://github.com/vasishth/metaanalysisjaegerengelmannvasishth2017","last_synced_at":"2025-04-10T11:24:54.339Z","repository":{"id":82813196,"uuid":"78288785","full_name":"vasishth/MetaAnalysisJaegerEngelmannVasishth2017","owner":"vasishth","description":"Code and data to accompany paper by L.A. Jäger, Engelmann, \u0026 Vasishth, 2017. Similarity-based interference in sentence comprehension:  Literature review and Bayesian meta-analysis.  Journal of Memory and Language. doi:10.1016/j.jml.2017.01.004","archived":false,"fork":false,"pushed_at":"2017-03-02T13:08:15.000Z","size":4474,"stargazers_count":6,"open_issues_count":0,"forks_count":0,"subscribers_count":5,"default_branch":"master","last_synced_at":"2025-03-24T10:11:57.357Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":"","language":"R","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/vasishth.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null}},"created_at":"2017-01-07T16:06:39.000Z","updated_at":"2024-12-26T15:29:49.000Z","dependencies_parsed_at":null,"dependency_job_id":"9a832452-0699-425c-ad99-e29ed15c435d","html_url":"https://github.com/vasishth/MetaAnalysisJaegerEngelmannVasishth2017","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/vasishth%2FMetaAnalysisJaegerEngelmannVasishth2017","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/vasishth%2FMetaAnalysisJaegerEngelmannVasishth2017/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/vasishth%2FMetaAnalysisJaegerEngelmannVasishth2017/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/vasishth%2FMetaAnalysisJaegerEngelmannVasishth2017/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/vasishth","download_url":"https://codeload.github.com/vasishth/MetaAnalysisJaegerEngelmannVasishth2017/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":248208612,"owners_count":21065203,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":[],"created_at":"2024-10-12T23:39:26.137Z","updated_at":"2025-04-10T11:24:54.294Z","avatar_url":"https://github.com/vasishth.png","language":"R","funding_links":[],"categories":[],"sub_categories":[],"readme":"# MetaAnalysisJaegerEngelmannVasishth2017\nCode and data to accompany the article by \n\n\n    Jaeger, Engelmann, Vasishth  (2017). \n\tSimilarity-based interference in sentence comprehension: \n\tLiterature review and Bayesian meta-analysis. \n\tJournal of Memory and Language. doi:10.1016/j.jml.2017.01.004\n\n\n\t@article{JaegerEngelmannVasishth2017,\n\t  Author = {J{\\\"a}ger, Lena A. and Engelmann, Felix and Vasishth, Shravan},\n\t  doi = {10.1016/j.jml.2017.01.004},\n\t  Title = {Similarity-based interference in sentence comprehension: {Literature review and Bayesian meta-analysis}},\n\t  abstract = {We report a comprehensive review of the published reading studies on retrieval interference in reflexive-/reciprocal-antecedent and subject-verb dependencies. We also provide a quantitative random-effects meta-analysis of self-paced and eyetracking reading studies. We show that the empirical evidence is only partly consistent with cue-based retrieval as implemented in the ACT-R-based model of sentence processing by Lewis \\\u0026 Vasishth 2005 (LV05) and that there are important differences between the reviewed dependency types. In non-agreement subject-verb dependencies, there is evidence for inhibitory interference in configurations where the correct dependent fully matches the retrieval cues. This is consistent with the LV05 cue-based retrieval account. By contrast, in subject-verb agreement as well as in reflexive-/reciprocal-antecedent dependencies, no evidence for interference is found in configurations with a fully cue-matching subject. In configurations with only a partially cue-matching subject or antecedent, the meta-analysis revealed facilitatory interference in subject-verb agreement and inhibitory interference in reflexives/reciprocals. The former is consistent with the LV05 account, but the latter is not. Moreover, the meta-analysis revealed that  (i) interference type (proactive versus retroactive) leads to different effects in the reviewed dependency types; and (ii) the prominence of the distractor has an important impact on the interference effect. \n\tIn sum, the meta-analysis suggests that the LV05 needs important modifications to account for (i) the unexplained interference patterns and (ii) the differences between the dependency types. More generally, the meta-analysis provides a quantitative empirical basis for comparing the predictions of competing accounts of retrieval processes in sentence comprehension.},\n\t  Year = {2017},\n\t  volume = {94},\n\t  pages = {316-339},\n\t  journal={Journal of Memory and Language},\n\t  code = {https://github.com/vasishth/MetaAnalysisJaegerEngelmannVasishth2017}\n\t  }\n\n\n# Directory structure \n\n-data\n\n  contains summary stats used in meta-analysis \n\n-inst\n  \n  contains a purl'd output from paper, all code chunks that were in the paper\n \n-R \n \n R functions for paper\t\t\t\t\n\n-StanModels\n \n code for random effects meta-analysis\n\t\n-documentation\n \n description of data extraction procedure\n\n-vignettes\n \n Rmd and html files containing (hopefully!) reproducible code\n\n\n# SessionInfo\n\nIf something doesn't work, please check that there isn't any problem with version differences in packages. \n\n\n\tR version 3.3.2 (2016-10-31)\n\tPlatform: x86_64-apple-darwin13.4.0 (64-bit)\n\tRunning under: macOS Sierra 10.12\n\n\tlocale:\n\t[1] en_US.UTF-8/en_US.UTF-8/en_US.UTF-8/C/en_US.UTF-8/en_US.UTF-8\n\n\tattached base packages:\n\t[1] grid      parallel  stats     graphics  grDevices utils     datasets \n\t[8] methods   base     \n\n\tother attached packages:\n\t[1] xtable_1.8-2       rjags_4-6          coda_0.18-1       \n\t[4] dplyr_0.4.3        rstan_2.14.1       StanHeaders_2.14.0\n\t[7] ggplot2_2.2.0     \n\n\tloaded via a namespace (and not attached):\n\t [1] Rcpp_0.12.8      knitr_1.15.1     magrittr_1.5     munsell_0.4.3   \n\t [5] colorspace_1.2-6 lattice_0.20-34  R6_2.1.2         plyr_1.8.3      \n\t [9] tools_3.3.2      gtable_0.2.0     DBI_0.4-1        lazyeval_0.2.0  \t\n\t[13] assertthat_0.1   digest_0.6.9     tibble_1.2       gridExtra_2.2.1 \n\t[17] codetools_0.2-15 inline_0.3.14    labeling_0.3     scales_0.4.1    \n\t[21] stats4_3.3.2 ","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fvasishth%2Fmetaanalysisjaegerengelmannvasishth2017","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fvasishth%2Fmetaanalysisjaegerengelmannvasishth2017","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fvasishth%2Fmetaanalysisjaegerengelmannvasishth2017/lists"}