7 Published manuscripts

If you have published a paper that was written with papaja, you can add the reference to the public Zotero group yourself or send it to me.

Although papaja is not yet on CRAN and is still undergoing a lot of changes, there are peer-reviewed publications that use it. If you have published a paper that was written with papaja, you can add the reference to the public Zotero group yourself or send it to me.

Aust, F., & Edwards, J. D. (2016). Incremental validity of Useful Field of View subtests for the prediction of instrumental activities of daily living. Journal of Clinical and Experimental Neuropsychology, 38(5), 497–515. https://doi.org/10.1080/13803395.2015.1125453

Aust, F., Haaf, J. M., & Stahl, C. (2018). A memory-based judgment account of expectancy-liking dissociations in evaluative conditioning. Journal of Experimental Psychology: Learning, Memory, and Cognition. https://doi.org/10/gdxv8n (R Markdown and data files: https://osf.io/vnmby/)

Barth, M., Stahl, C., & Haider, H. (2018). Assumptions of the process-dissociation procedure are violated in implicit sequence learning. Journal of Experimental Psychology: Learning, Memory, and Cognition. https://doi.org/10/gdxv8m (R Markdown and data files: https://github.com/methexp/pdl2)

Beaton, D., Sunderland, K. M., Levine, B., Mandzia, J., Masellis, M., Swartz, R. H., … Strother, S. C. (2018). Generalization of the minimum covariance determinant algorithm for categorical and mixed data types. bioRxiv. https://doi.org/10.1101/333005

Bergmann, C., Tsuji, S., Piccinini, P. E., Lewis, M. L., Braginsky, M., Frank, M. C., & Cristia, A. (2018). Promoting Replicability in Developmental Research Through Meta-analyses: Insights From Language Acquisition Research. Child Development. https://doi.org/10.1111/cdev.13079 (R Markdown and data files: https://osf.io/uhv3d/)

Bol, N., Dienlin, T., Kruikemeier, S., Sax, M., Boerman, S. C., Strycharz, J., … de Vreese, C. H. (2018). Understanding the Effects of Personalization as a Privacy Calculus: Analyzing Self-Disclosure Across Health, News, and Commerce Contexts†. Journal of Computer-Mediated Communication, 23(6), 370–388. https://doi.org/10/gftcm6

Buchanan, E., Foreman, R., Johnson, B., Pavlacic, J., Swadley, R., & Schulenberg, S. (2018). Does the Delivery Matter? Examining Randomization at the Item Level. PsyArXiv. https://doi.org/10.17605/osf.io/p93df (R Markdown and data files: https://osf.io/gvx7s/)

Buchanan, E., Johnson, B., Miller, A., Stockburger, D., & Beauchamp, M. (2018a). Perceived Grading and Student Evaluation of Instruction. PsyArXiv. https://doi.org/10.17605/osf.io/7x4uf (R Markdown and data files: https://osf.io/jdpfs/)

Buchanan, E. M., & Scofield, J. E. (2018). Methods to detect low quality data and its implication for psychological research. Behavior Research Methods. https://doi.org/10.3758/s13428-018-1035-6 (R Markdown and data files: https://osf.io/x6t8a/)

Buchanan, E., & Scofield, J. (2018). Bulletproof Bias? Considering the Type of Data in Common Proportion of Variance Effect Sizes. PsyArXiv. https://doi.org/10.17605/osf.io/cs4vy (R Markdown and data files: https://osf.io/urd8q/)

Buchanan, E., Scofield, J., & Nunley, N. (2018b). The N400’s 3 As: Association, Automaticity, Attenuation (and Some Semantics Too). PsyArXiv. https://doi.org/10.17605/osf.io/6w2se (R Markdown and data files: https://osf.io/h5sd6/)

Buchanan, E., & Valentine, K. (2018). An Extension of the QWERTY Effect: Not Just the Right Hand, Expertise and Typability Predict Valence Ratings of Words. PsyArXiv. https://doi.org/10.31219/osf.io/k7dx5 (R Markdown and data files: https://osf.io/zs2qj/)

Buchanan, E., Valentine, K., & Maxwell, N. (2018c). English Semantic Feature Production Norms: An Extended Database of 4,436 Concepts. PsyArXiv. https://doi.org/10.17605/osf.io/gxbf4 (R Markdown and data files: https://osf.io/cjyzw/)

Buchanan, E., Valentine, K., & Maxwell, N. (2018d). The LAB: Linguistic Annotated Bibliography. PsyArXiv. https://doi.org/10.17605/osf.io/h3bwx (R Markdown and data files: https://osf.io/9bcws/)

Craddock, M., Klepousniotou, E., El-Deredy, W., Poliakoff, E., & Lloyd, D. M. (2018). Transcranial alternating current stimulation at 10 Hz modulates response bias in the Somatic Signal Detection Task. bioRxiv. https://doi.org/10.1101/330134

Derringer, J. (2018). A simple correction for non-independent tests. PsyArXiv. https://doi.org/10/gdrbxc (R Markdown and data files: https://osf.io/re5w2/)

Faulkenberry, T. J., Cruise, A., & Shaki, S. (2018). Task instructions modulate unit–decade binding in two-digit number representation. Psychological Research. https://doi.org/10/gdxv8k (R Markdown and data files: https://github.com/tomfaulkenberry/twodigittaskmanip)

Flygare, O., Andersson, E., Ringberg, H., Hellstadius, A.-C., Edbacken, J., Enander, J., … Rück, C. (2018). Adapted cognitive behavior therapy for obsessive compulsive disorder with co-occuring autism spectrum disorder: A clinical effectiveness study. PsyArXiv. https://doi.org/10/gffjrb (R Markdown and data files: https://osf.io/gj87z/)

Haaf, J. M., Klaassen, F., & Rouder, J. (2018). A Note on Using Systems of Orders to Capture Theoretical Constraint in Psychological Science. PsyArXiv. https://doi.org/10/gffjrf (R Markdown and data files: https://github.com/perceptionandcognitionlab/bf-order)

Haaf, J. M., & Rouder, J. (2018). Some do and some don’t? Accounting for variability of individual difference structures. PsyArXiv. https://doi.org/10.31234/osf.io/zwjtp (R Markdown and data files: https://github.com/perceptionandcognitionlab/ctx-mixture)

Haaf, J. M., & Rouder, J. N. (2017). Developing constraint in bayesian mixed models. Psychological Methods, 22(4), 779–798. https://doi.org/10.1037/met0000156 (R Markdown and data files: https://github.com/perceptionandcognitionlab/ctx-indiff)

Hardwicke, T. E., Mathur, M. B., MacDonald, K., Nilsonne, G., Banks, G. C., Kidwell, M. C., … Frank, M. C. (2018). Data availability, reusability, and analytic reproducibility: Evaluating the impact of a mandatory open data policy at the journal cognition. Royal Society Open Science, 5(8), 180448. https://doi.org/10/gdz63s (R Markdown and data files: https://osf.io/wn8fd/)

Hardwicke, T., & Ioannidis. (2018). Mapping the Universe of Registered Reports. PsyArXiv. https://doi.org/10.31222/osf.io/fzpcy (R Markdown and data files: https://osf.io/7dpwb/)

Harms, C., & Lakens, D. (2018). Making ’Null Effects’ Informative: Statistical Techniques and Inferential Frameworks. PsyArXiv. https://doi.org/10.17605/osf.io/48zca (R Markdown and data files: https://osf.io/wptju/)

Heino, M. T. J., Vuorre, M., & Hankonen, N. (2018). Bayesian evaluation of behavior change interventions: A brief introduction and a practical example. Health Psychology and Behavioral Medicine, 6(1), 49–78. https://doi.org/10.1080/21642850.2018.1428102 (R Markdown and data files: https://zenodo.org/record/1209814\#.wvy3h4jovgm)

Heycke, T., Aust, F., & Stahl, C. (2017). Subliminal influence on preferences? A test of evaluative conditioning for brief visual conditioned stimuli using auditory unconditioned stimuli. Royal Society Open Science, 4(9), 160935. https://doi.org/10.1098/rsos.160935

Heycke, T., Gehrmann, S., Haaf, J. M., & Stahl, C. (2018). Of two minds or one? A registered replication of Rydell et al. (2006). Cognition and Emotion, 32(8), 1708–1727. https://doi.org/10.1080/02699931.2018.1429389

Heycke, T., & Stahl, C. (2018). No evaluative conditioning effects with briefly presented stimuli. Psychological Research. https://doi.org/10.1007/s00426-018-1109-1

Heyman, T., & Heyman, G. (2018). Can prediction-based distributional semantic models predict typicality? PsyArXiv. https://doi.org/10.17605/osf.io/59xtd (R Markdown and data files: https://osf.io/nkfjy/)

Jordan, K., Buchanan, E., & Padfield, W. (2018). Focus on the Target: The Role of Attentional Focus in Decisions about War. PsyArXiv. https://doi.org/10.17605/osf.io/9fgu8 (R Markdown and data files: https://osf.io/r8qp2/)

Lakens, D., Scheel, A. M., & Isager, P. M. (2018). Equivalence Testing for Psychological Research: A Tutorial. Advances in Methods and Practices in Psychological Science, 1(2), 259–269. https://doi.org/10/gdj7s9 (R Markdown and data files: https://osf.io/qamc6/)

Lewis, M., Braginsky, M., Tsuji, S., Bergmann, C., Piccinini, P. E., Cristia, A., & Frank, M. C. (2017). A Quantitative Synthesis of Early Language Acquisition Using Meta-Analysis. PsyArXiv. https://doi.org/10.31234/osf.io/htsjm

Maxwell, N., & Buchanan, E. (2018a). Investigating the Interaction between Associative, Semantic, and Thematic Database Norms for Memory Judgments and Retrieval. PsyArXiv. https://doi.org/10.17605/osf.io/fcesn (R Markdown and data files: https://osf.io/y8h7v/)

Maxwell, N., & Buchanan, E. (2018b). Modeling Memory: Exploring the Relationship Between Word Overlap and Single Word Norms when Predicting Relatedness Judgments and Retrieval. PsyArXiv. https://doi.org/10.17605/osf.io/qekad (R Markdown and data files: https://osf.io/j7qtc/)

McHugh, C., McGann, M., Igou, E. R., & Kinsella, E. L. (2017). Searching for Moral Dumbfounding: Identifying Measurable Indicators of Moral Dumbfounding. Collabra: Psychology, 3(1). https://doi.org/10.1525/collabra.79 (R Markdown and data files: https://osf.io/wm6vc/)

Moors, P., & Hesselmann, G. (2019). Unconscious arithmetic: Assessing the robustness of the results reported by Karpinski, Briggs, and Yale (2018). Consciousness and Cognition, 68, 97–106. https://doi.org/10.1016/j.concog.2019.01.003 (R Markdown and data files: https://osf.io/cybfe/)

Papenberg, M., Willing, S., & Musch, J. (2017). Sequentially presented response options prevent the use of testwiseness cues in multiple-choice testing. Psychological Test and Assessment Modeling, 59(2), 245–266. Retrieved from http://www.psychologie-aktuell.com/fileadmin/download/ptam/2-2017_20170627/06_Papenberg_.pdf

Pavlacic, J., Buchanan, E., Maxwell, N., Hopke, T., & Schulenberg, S. (2018). A Meta-Analysis of Expressive Writing on Positive Psychology Variables and Traumatic Stress. PsyArXiv. https://doi.org/10.17605/osf.io/u98cw (R Markdown and data files: https://osf.io/4mjqt/)

Peterka-Bonetta, J., Sindermann, C., Sha, P., Zhou, M., & Montag, C. (2019). The relationship between Internet Use Disorder, depression and burnout among Chinese and German college students. Addictive Behaviors, 89, 188–199. https://doi.org/10/gd4rcw

Pollet, T. V., & Saxton, T. (2018). How diverse are the samples used in the journals “Evolution & Human Behavior” and “Evolutionary Psychology”? PsyArXiv. https://doi.org/10.17605/osf.io/7h24p

Robison, M. K., & Unsworth, N. (2018). Pupillometry tracks fluctuations in working memory performance. PsyArXiv. https://doi.org/10/gdz63r (R Markdown and data files: osf.io/vuw9h/)

Rouder, J., & Haaf, J. M. (2018). A Psychometrics of Individual Differences in Experimental Tasks. PsyArXiv. https://doi.org/10/gfdbw2 (R Markdown and data files: https://github.com/perceptionandcognitionlab/ctx-reliability)

Rouder, J., Haaf, J. M., & Snyder, H. K. (2018a). Minimizing Mistakes In Psychological Science. PsyArXiv. https://doi.org/10/gfdb27 (R Markdown and data files: https://github.com/perceptionandcognitionlab/lab-transparent)

Rouder, J., Haaf, J. M., Stober, C., & Hilgard, J. (2017). Beyond Overall Effects: A Bayesian Approach to Finding Constraints Across A Collection Of Studies In Meta-Analysis. PsyArXiv. https://doi.org/10/gffjrd (R Markdown and data files: https://github.com/perceptionandcognitionlab/meta-planned)

Rouder, J. N., Haaf, J. M., & Aust, F. (2018b). From theories to models to predictions: A Bayesian model comparison approach. Communication Monographs, 85(1), 41–56. https://doi.org/10.1080/03637751.2017.1394581

Sauer, S. (2017). Observation oriented modeling revised from a statistical point of view. Behavior Research Methods. https://doi.org/10.3758/s13428-017-0949-8 (R Markdown and data files: https://osf.io/6vhja/)

Stahl, C., Barth, M., & Haider, H. (2015). Distorted estimates of implicit and explicit learning in applications of the process-dissociation procedure to the SRT task. Consciousness and Cognition, 37, 27–43. https://doi.org/10.1016/j.concog.2015.08.003

Stahl, C., Haaf, J., & Corneille, O. (2016a). Subliminal Evaluative Conditioning? Above-Chance CS Identification May Be Necessary and Insufficient for Attitude Learning. Journal of Experimental Psychology: General, 145, 1107–1131. https://doi.org/10.1037/xge0000191

Stahl, C., Henze, L., & Aust, F. (2016b). False memory for perceptually similar but conceptually distinct line drawings. PsyArXiv. https://doi.org/10.17605/osf.io/zr7m8 (R Markdown and data files: https://osf.io/jxm7z/)

Stahl, C., & Heycke, T. (2016). Evaluative Conditioning with Simultaneous and Sequential Pairings Under Incidental and Intentional Learning Conditions. Social Cognition, 34(5), 382–412. https://doi.org/10.1521/soco.2016.34.5.382

Stevens, J. R., & Soh, L.-K. (2018). Predicting similarity judgments in intertemporal choice with machine learning. Psychonomic Bulletin & Review, 25(2), 627–635. https://doi.org/10/gdfghk

Urry, H. L., Sifre, E., Song, J., Steinberg, H., Bornstein, M., Kim, J., … Andrews, M. (2018). Effect of Disgust on Judgments of Moral Wrongness: A Replication of Eskine, Kacinik, and Prinz (2011). At Tufts University - Spring, 2017. Retrieved from https://osf.io/fu384/ (R Markdown and data files: https://osf.io/ddmkm)

Valentine, K., Buchanan, E., Scofield, J., & Beauchamp, M. (2018). Beyond p-values: Utilizing Multiple Estimates to Evaluate Evidence. PsyArXiv. https://doi.org/10.17605/osf.io/9hp7y (R Markdown and data files: https://osf.io/u9hf4/)

Vuorre, M., & Curley, J. P. (2018). Curating Research Assets: A Tutorial on the Git Version Control System. PsyArXiv. https://doi.org/10.31234/osf.io/6tzh8 (R Markdown and data files: https://github.com/mvuorre/reproguide-curate)

Allaire, J., Xie, Y., McPherson, J., Luraschi, J., Ushey, K., Atkins, A., … Chang, W. (2017). Rmarkdown: Dynamic documents for r. Retrieved from https://CRAN.R-project.org/package=rmarkdown

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Asendorpf, J. B., Conner, M., De Fruyt, F., De Houwer, J., Denissen, J. J. A., Fiedler, K., … Wicherts, J. M. (2013). Recommendations for Increasing Replicability in Psychology. European Journal of Personality, 27(2), 108–119. doi:10.1002/per.1919

Aust, F. (2016). Citr: ’RStudio’ add-in to insert markdown citations. Retrieved from https://CRAN.R-project.org/package=citr

Aust, F., & Barth, M. (2016). Papaja: Create apa manuscripts with rmarkdown. Retrieved from https://github.com/crsh/papaja

Bates, D., & Maechler, M. (2016). Matrix: Sparse and dense matrix classes and methods. Retrieved from https://CRAN.R-project.org/package=Matrix

Bates, D., Mächler, M., Bolker, B., & Walker, S. (2015). Fitting linear mixed-effects models using lme4. Journal of Statistical Software, 67(1), 1–48. doi:10.18637/jss.v067.i01

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Chang, W., Cheng, J., Allaire, J., Xie, Y., & McPherson, J. (2016). Shiny: Web application framework for r. Retrieved from http://shiny.rstudio.com

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Lawrence, M. A. (2016). Ez: Easy analysis and visualization of factorial experiments. Retrieved from https://CRAN.R-project.org/package=ez

Lenth, R. V. (2015). Estimability: Tools for assessing estimability of linear predictions. Retrieved from https://CRAN.R-project.org/package=estimability

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Singmann, H., Bolker, B., Westfall, J., & Aust, F. (2016). Afex: Analysis of factorial experiments. Retrieved from https://CRAN.R-project.org/package=afex

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