This readme file was generated on 23 August 2022 by Eva Tzschaschel GENERAL INFORMATION Title of Dataset: Valence-Dominance-Model_Applies_to_Body_Perception_Descriptives Author/Principal Investigator Information Name: Eva Tzschaschel ORCID:0000-0001-5653-6718 Institution: Macquarie University Email: eva.tzschaschel@mq.edu.au Author/Associate or Co-investigator Information Name: Kevin Brooks ORCID:0000-0003-1424-4092 Institution: Macquarie University Email: kevin.brooks@mq.edu.au Author/Alternate Contact Information Name: Ian Stephen ORCID:0000-0001-9714-8295 Institution: Nottingham Trent University Email: ian.stephen@ntu.ac.uk Date of data collection: From 2 December 2019 to 20 April 2020 Geographic location of data collection: Sydney, NSW, Australia Information about funding sources that supported the collection of the data: N/A SHARING/ACCESS INFORMATION Licenses/restrictions placed on the data: Creative Commons Attributions 4.0 International Recommended citation for this dataset: Tzschaschel, Eva; Brooks, Kevin; Stephen, Ian (2022), The valence-dominance model applies to body perception, Dryad, Dataset, https://doi.org/10.5061/dryad.8931zcrth DATA & FILE OVERVIEW File List: Valence-Dominance-Model_Body_Perception_ExclusionsRemoved_Descriptives.csv Valence-Dominance-Model_Body_Perception_ExclusionsRemoved_PCA_EFA.csv Valence-Dominance-Model_Body_Perception_ExclusionsRemoved_Correlations_F1_F2.csv Valence-Dominance-Model_Body_Perception_ExploratoryCorrelationsStimuli.csv Relationship between files: Additional variables in Valence-Dominance-Model_Body_Perception_ExclusionsRemoved_Correlations_F1_F2.csv: Factor 1 and Factor 2 derived from previous data analysis EFA Additional variables in Valence-Dominance-Model_Body_Perception_ExploratoryCorrelationsStimuli.csv: Stimuli-specific variables such as height or BMI for each stimulus METHODOLOGICAL INFORMATION Description of methods used for collection/generation of data: See detailed description of methods in Tzschaschel et al. (2022) The Valence-Dominance Model applies to body perception Methods for processing the data: Exclusions: 15 participants who did not finish the study and 14 participants who provided the same stimulus rating on more than 80% of trials. Instrument- or software-specific information needed to interpret the data: We used JASP, an open-source statistics program version 0.92 and 0.16.2.0, and RStudio, version 1.2.5019. People involved with sample collection, processing, analysis, and/or submission: Eva Tzschaschel (Sample collection, data processing, analysis, and submission), Ian D. Stephen (Data processing, analysis) DATA-SPECIFIC INFORMATION FOR: Valence-Dominance-Model_Body_Perception_ExclusionsRemoved_Descriptives.csv Number of variables: 3 Number of cases/rows: 237 Variable List: Age, Gender, Ethnicity Missing data codes: N/A Specialized formats or other abbreviations used: N/A DATA-SPECIFIC INFORMATION FOR: Valence-Dominance-Model_Body_Perception_ExclusionsRemoved_PCA_EFA.csv Number of variables: 16 Number of cases/rows: 121 Variable List: V1 (ID numbers for each stimulus) Sociable [Prestigious (collected but not used for data analysis)] Dominant Trustworthy Responsible Caring Unhappy Emotionally Stable Aggressive Intelligent Mean Weird Self-Esteem Confidence Attractive Missing data codes: N/A Specialized formats or other abbreviations used: N/A DATA-SPECIFIC INFORMATION FOR: Valence-Dominance-Model_Body_Perception_ExclusionsRemoved_Correlations_F1_F2.csv Number of variables: 18 Number of cases/rows: 121 Variable List: V1 (ID numbers for each stimulus) Sociable [Prestigious (collected but not used for data analysis)] Dominant Trustworthy Responsible Caring Unhappy Emotionally Stable Aggressive Intelligent Mean Weird Self-Esteem Confidence Attractive Fac1 (Factor 1 from the EFA Analysis) Fac2 (Factor 2 from the EFA Analysis) Missing data codes: N/A Specialized formats or other abbreviations used: N/A DATA-SPECIFIC INFORMATION FOR: Valence-Dominance-Model_Body_Perception_ExploratoryCorrelationsStimuli.csv Number of variables: 9 Number of cases/rows: 121 Variable List: v1 (ID numbers for each stimulus) Fac1 (Factor 1 from the EFA Analysis) Fac2 (Factor 2 from the EFA Analysis) height (in centimetres) age (in years) weight (in kilograms) bmi (Body Mass Index) musclemass (Muscle mass in kilograms) fat (Fat mass in kilograms) sex (m = male, f = female) Missing data codes: N/A Specialized formats or other abbreviations used: N/A