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Changing-State Irrelevant Speech Disrupts Visual-Verbal but not Visual-Spatial Serial Recall

John E. Marsh, Mark J. Hurlstone, Alexandre Marois, Linden J. Ball, Stuart B. Moore, François Vachon, Sabine J. Schlittmeier, Jan Philipp Röer, Axel Buchner, Frederik Aust, & Raoul Bell


This repository contains research products associated with the publication.

The data_raw directory contains the data in CSV format; RData-files can be found in data_processed/.

The analyses herein were performed with the R package targets and can be rerun by executing the file _make.sh. Note that rerunning the analyses may take several days (see below). The analyses are run separately for each study and the results are stored in the directories mochasta1/_targets/ and mochasta2/_targets/. To run the analysis for Experiment 1 set the project variable in _make.sh to mochasta1 (and analogously for Experiment 2).

The Quarto files in the directories mochasta1 and mochasta2 create reports of the results of the analyses reported in the paper.

The Bayesian meta-analysis reported in the paper was performed by hand using the online Bayes factor calculator by Zoltan Dienes; hence, no code is provided for this analysis.

Preferred citation

@Article{marshhurlstone:2024,
  title = {Changing-State Irrelevant Speech Disrupts Visual-Verbal but not Visual-Spatial Serial Recall},
  author = {John E. Marsh and Mark J. Hurlstone and Alexandre Marois and Linden J. Ball and Stuart B. Moore and François Vachon and Sabine J. Schlittmeier and Jan Philipp Röer and Axel Buchner and Frederik Aust and Raoul Bell},
  year = {2024},
  journal = {Journal of Experimental Psychology: Leaning, Memory and Cognition},
}

Software requirements

The version of R and all packages required to reproduce the anlysis are listed in the DESCRIPTION file. Additonally, it is required to install the mochasta package from this GitHub repository.

# Install the mochasta package from GitHub
remotes::install_github("crsh/mochasta")

# Install from a local copy of the repository
devtools::install("path/to/mochasta")

Computational requirements

Running all analyses may take severa on a Desktop computer even when Bayesian models are fit in parallel on 7 cores (current setting). To control the number of cores used for parallel processing, change the targets controller option in targets.r in the folders for each experiment.

Experiment 1

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    x212d38f8a96a16c1(["mochasta1<br>1.047 seconds"]):::uptodate --> x4082dc70a41d5aa6(["mochasta1_anova<br>0.083 seconds"]):::uptodate
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    xaeb50eeab4d65f6f(["mochasta1_no_order_position<br>0.01 seconds"]):::uptodate --> xa139dbfb46286deb(["mochasta1_simple_effects_bf<br>6.177 seconds"]):::uptodate
    xaeb50eeab4d65f6f(["mochasta1_no_order_position<br>0.01 seconds"]):::uptodate --> x927f26567460a310(["mochasta1_no_order_position_anova<br>0.02 seconds"]):::uptodate
    xaeb50eeab4d65f6f(["mochasta1_no_order_position<br>0.01 seconds"]):::uptodate --> x4f32e94f22b36a35(["mochasta1_simple_effects_spatial<br>0.011 seconds"]):::uptodate
    x5fcfbfc7f9a69741(["mochasta1_no_order<br>0.044 seconds"]):::uptodate --> xa8760b505faa7e30(["mochasta1_no_order_anova_verbal<br>0.015 seconds"]):::uptodate
    x5fcfbfc7f9a69741(["mochasta1_no_order<br>0.044 seconds"]):::uptodate --> x56ca37e47dba9819(["mochasta1_no_order_lmm<br>1.56 minutes"]):::uptodate
    x5fcfbfc7f9a69741(["mochasta1_no_order<br>0.044 seconds"]):::uptodate --> x3208522fc0fb4ba7(["mochasta1_no_order_anova<br>0.043 seconds"]):::uptodate
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    x4082dc70a41d5aa6(["mochasta1_anova<br>0.083 seconds"]):::uptodate --> xe0fba61fbc506510(["report<br>4.593 seconds"]):::outdated
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    xcf178e40c42947a4(["mochasta1_no_order_anova_spatial<br>0.927 seconds"]):::uptodate --> xe0fba61fbc506510(["report<br>4.593 seconds"]):::outdated
    xa8760b505faa7e30(["mochasta1_no_order_anova_verbal<br>0.015 seconds"]):::uptodate --> xe0fba61fbc506510(["report<br>4.593 seconds"]):::outdated
    x927f26567460a310(["mochasta1_no_order_position_anova<br>0.02 seconds"]):::uptodate --> xe0fba61fbc506510(["report<br>4.593 seconds"]):::outdated
    x393fd8e0e0ddb692["mochasta1_no_order_position_anova_bf<br>47.152 seconds<br>4 branches"]:::uptodate --> xe0fba61fbc506510(["report<br>4.593 seconds"]):::outdated
    xa139dbfb46286deb(["mochasta1_simple_effects_bf<br>6.177 seconds"]):::uptodate --> xe0fba61fbc506510(["report<br>4.593 seconds"]):::outdated
    x4f32e94f22b36a35(["mochasta1_simple_effects_spatial<br>0.011 seconds"]):::uptodate --> xe0fba61fbc506510(["report<br>4.593 seconds"]):::outdated
    x367d03c6134f6cd1(["mochasta1_simple_effects_verbal<br>0.043 seconds"]):::uptodate --> xe0fba61fbc506510(["report<br>4.593 seconds"]):::outdated
    x5fcfbfc7f9a69741(["mochasta1_no_order<br>0.044 seconds"]):::uptodate --> xa32f19cf709581e9["mochasta1_no_order_anova_bf<br>2.409 days<br>8 branches"]:::uptodate
    x2e4b03c70c1c11c0(["mochasta1_no_order_anova_models<br>0.027 seconds"]):::uptodate --> xa32f19cf709581e9["mochasta1_no_order_anova_bf<br>2.409 days<br>8 branches"]:::uptodate
    x5fcfbfc7f9a69741(["mochasta1_no_order<br>0.044 seconds"]):::uptodate --> xcf178e40c42947a4(["mochasta1_no_order_anova_spatial<br>0.927 seconds"]):::uptodate
    x5fcfbfc7f9a69741(["mochasta1_no_order<br>0.044 seconds"]):::uptodate --> xaeb50eeab4d65f6f(["mochasta1_no_order_position<br>0.01 seconds"]):::uptodate
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    xaeb50eeab4d65f6f(["mochasta1_no_order_position<br>0.01 seconds"]):::uptodate --> x367d03c6134f6cd1(["mochasta1_simple_effects_verbal<br>0.043 seconds"]):::uptodate
    xaeb50eeab4d65f6f(["mochasta1_no_order_position<br>0.01 seconds"]):::uptodate --> x393fd8e0e0ddb692["mochasta1_no_order_position_anova_bf<br>47.152 seconds<br>4 branches"]:::uptodate
    xc82181b8c547d330(["mochasta1_no_order_position_anova_models<br>0.001 seconds"]):::uptodate --> x393fd8e0e0ddb692["mochasta1_no_order_position_anova_bf<br>47.152 seconds<br>4 branches"]:::uptodate
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Experiment 2

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    x9d1b703d563379d0(["mochasta2<br>1.112 seconds"]):::uptodate --> x6daf898648b833ac(["mochasta2_lmm<br>1.803 minutes"]):::uptodate
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