PMC:7572125 / 56162-57493 JSONTXT

{"project":"2_test","denotations":[{"id":"33073769-26943900-27525657","span":{"begin":395,"end":399},"obj":"26943900"},{"id":"33073769-22000013-27525658","span":{"begin":1131,"end":1135},"obj":"22000013"},{"id":"33073769-26943900-27525659","span":{"begin":1245,"end":1249},"obj":"26943900"}],"text":"Statistical analysis\nStatistical analysis was performed with R software (RRID:SCR_001905), version 3.5.1 (R Development Core Team, 2018). All data, csv files, and analysis scripts are available on the OSF (https://osf.io/oblj1/). Confirmatory statistical analysis was pre-registered (https://osf.io/f7yjp/) before the experimental work began as outlined in the Registered Report (Phelps et al., 2016). Data were checked to ensure assumptions of statistical tests were met (i.e., Levene’s test to test for equality of variances, Shapiro-Wilk test for normality). When described in the results, the Bonferroni correction, to account for multiple testings, was applied to the alpha error or the p-value. The Bonferroni corrected value was determined by dividing the uncorrected value (0.05) by the number of tests performed. A meta-analysis of a common original and replication effect size was performed with a random effects model and the metafor R package (Viechtbauer, 2010) (https://osf.io/xgrqp/). The summary data (mean and standard deviation) pertaining to Figures 3C–D, H and 5B, and Supplemental Figures S3A-B of Tay et al., 2011 were shared by the original authors. The summary data was published in the Registered Report (Phelps et al., 2016) and used in the power calculations to determine the sample sizes for this study."}

{"project":"MyTest","denotations":[{"id":"33073769-26943900-27525657","span":{"begin":395,"end":399},"obj":"26943900"},{"id":"33073769-22000013-27525658","span":{"begin":1131,"end":1136},"obj":"22000013"},{"id":"33073769-26943900-27525659","span":{"begin":1245,"end":1249},"obj":"26943900"}],"namespaces":[{"prefix":"_base","uri":"https://www.uniprot.org/uniprot/testbase"},{"prefix":"UniProtKB","uri":"https://www.uniprot.org/uniprot/"},{"prefix":"uniprot","uri":"https://www.uniprot.org/uniprotkb/"}],"text":"Statistical analysis\nStatistical analysis was performed with R software (RRID:SCR_001905), version 3.5.1 (R Development Core Team, 2018). All data, csv files, and analysis scripts are available on the OSF (https://osf.io/oblj1/). Confirmatory statistical analysis was pre-registered (https://osf.io/f7yjp/) before the experimental work began as outlined in the Registered Report (Phelps et al., 2016). Data were checked to ensure assumptions of statistical tests were met (i.e., Levene’s test to test for equality of variances, Shapiro-Wilk test for normality). When described in the results, the Bonferroni correction, to account for multiple testings, was applied to the alpha error or the p-value. The Bonferroni corrected value was determined by dividing the uncorrected value (0.05) by the number of tests performed. A meta-analysis of a common original and replication effect size was performed with a random effects model and the metafor R package (Viechtbauer, 2010) (https://osf.io/xgrqp/). The summary data (mean and standard deviation) pertaining to Figures 3C–D, H and 5B, and Supplemental Figures S3A-B of Tay et al., 2011 were shared by the original authors. The summary data was published in the Registered Report (Phelps et al., 2016) and used in the power calculations to determine the sample sizes for this study."}