Notebook for "A Multiverse Assessment of the Reliability of the Perceptual Matching Task as a Measurement of the Self-prioritization Effect"
Authors: Zheng Liu, Mengzhen Hu, Yuan-Rui Zheng, Jie Sui, Hu Chuan-Peng
Corresponding email address: [email protected]
This preregistered study investigated the reliability of SPE derived from the SMT using a multiverse approach, combining all possible indicators and baselines reported in the literature. We first examined the robustness of 24 SPE measures across 42 datasets (N = 2250) using a meta-analytical approach. We then calculated the Split-Half Reliability (r) and Intraclass Correlation Coefficient (ICC2) for each SPE measure.
Preprint: https://osf.io/preprints/psyarxiv/g6uap
OSF Project Page: https://osf.io/6dghm/
This repo only includes our own data[4_1_Raw_Data]
. The public data we collected [4_2_Open_Data]
is not included in this repo.
1_1_Pre-Registration
- About.txt
- Reliability_SPE_pre-reg.docx
1_2_Planned_Analysis
- 1_Clean_Data.Rmd
- 2_Split_Half.Rmd
- 3_Reliability.Rmd
- 4_IntraClass Correlation.Rmd
- 5_Plot.Rmd
- Pilot.Rproj
- simulated_data.csv
- Sim_resampling.Rmd
- Fig4_SPE_SHR.png
- Fig5_SPE_ICC.png
- Fig_1_exp_pro.png
- Fig_2_simulated_data.png
- Fig_3_flow_chart.png
- Flow_Chart.pptx
- SALT.pptx
- Supplementary_Table_1.csv
- Supplementary_Table_2.csv
- supp_Fig_8.png
1_2_1_DATA
1_2_2_OUTPUT
2_1_Papers
2_2_Open_Data_Paper
- Phase 1
- Phase 2
- Phase 3
Reliability_SPMT.Data
Reliability_SPMT.enl
4_1_Raw_Data
- SPMT_raw.csv
- CodeBook_Data_for_Exp1.xlsx
- CodeBook_Data_for_Exp2.xlsx
- Data_for_Exp1.csv
- Data_for_Exp2.csv
- Readme.md
SciDataBank
4_2_Open_Data
- README.txt
- Paper_0
- Paper_19
- Paper_34
- Paper_44
- Paper_46
- Paper_51
- Paper_54
- Paper_95
- Paper_n13
- Paper_n14
- Paper_n16
- Paper_n23
- Paper_n4
- Paper_s1
- Paper_s2
- Paper_s3
- Paper_s4
- Paper_s5
- Paper_t1
- Paper_t10
- Paper_t13
- Paper_t18
- Paper_t2
- Paper_t27
- Paper_t28
- Paper_t3
- Paper_t5
- Paper_t6
- Paper_t7
- Paper_t9
- Paper_u1
CODE
- Loop Split Half & Reliability.Rmd
- 0_Functions.Rmd
- 1_Check_Data.Rmd
- 1_Clean_Data_r.Rmd
- 1_Clean_Data_s.Rmd
- 1_Clean_Data_t.Rmd
- 1_Clean_Data_u.Rmd
- 2_Split_Half.Rmd
- 3_Reliability.Rmd
- 4_IntraClass Correlation.Rmd
- 5_Meta.Rmd
- 6_Meta_Plot.Rmd
- 7_Load_DATA.Rmd
- 8_Description.Rmd
- 9_Main_Plot.Rmd
- 10_Supp_Plot.Rmd
DATA
- df1.csv
- ...csv
- df45.csv
DDM_Packages_Comparison
- .RData
- .Rhistory
- DDM_Packages_Comparison.Rproj
- DDM_Pack_Comp.Rmd
FIGURE
- Fig4a_meta_shr.png
- Fig4b_meta_icc.png
- Fig4_shr_icc.png
- Fig_1_SMT.pptx
- Fig_2_Flow_Chart.pptx
- Fig_3_Forest_RT.png
- meta_plot.html
- meta_plot.md
- Forest_Close_ACC.png
- Forest_Close_d.png
- Forest_Close_eta.png
- Forest_Close_RT.png
- Forest_Close_v.png
- Forest_Close_z.png
- Forest_Stranger_ACC.png
- Forest_Stranger_d.png
- Forest_Stranger_eta.png
- Forest_Stranger_RT.png
- Forest_Stranger_v.png
- Forest_Stranger_z.png
- Forest_Close_ACC.webp
- Forest_Close_d.webp
- Forest_Close_eta.webp
- Forest_Close_RT.webp
- Forest_Close_v.webp
- Forest_Close_z.webp
- Forest_Stranger_ACC.webp
- Forest_Stranger_d.webp
- Forest_Stranger_eta.webp
- Forest_Stranger_RT.webp
- Forest_Stranger_v.webp
- Forest_Stranger_z.webp
- Fig_S10_yi&trials.png
- Fig_S11_Spear_Brown.png
- Fig_S1_SMT.pptx
- Fig_S2_PRISMA.pptx
- Fig_S3_DDM_Pkg_Comp.png
- Fig_S4_meta_bind.png
- Fig_S5_meta_fs.png
- Fig_S5_meta_od.png
- Fig_S5_meta_per.png
- Fig_S6a_ICC_P0.png
- Fig_S6b_ICC_Ps2.png
- Fig_S6_ICC.png
- Fig_S7_Cov.png
- Fig_S8_r&Trial.png
- Fig_S9_yi&r.png
main
meta
png
webp
supp
OUTPUT
- Tables.xlsx
icc
meta
nmshr
pershr_10
pershr_5k
PACKAGES
- yukiBP_0.1.6.tar.gz
- yukiSH_0.0.4.tar.gz
1_Word_Version
- Reliability_SMT_main_Revision_fin.docx
- Supplementary Material_revision_fin.docx