date: 2019-03-19T16:07:18Z pdf:PDFVersion: 1.6 pdf:docinfo:title: Modeling Music-Selection Behavior in Everyday Life: A Multilevel Statistical Learning Approach and Mediation Analysis of Experience Sampling Data xmp:CreatorTool: LaTeX with hyperref package + hypdvips access_permission:can_print_degraded: true subject: Music listening has become a highly individualized activity with smartphones and music streaming services providing listeners with absolute freedom to listen to any kind of music in any situation. language: en dc:format: application/pdf; version=1.6 pdf:docinfo:creator_tool: LaTeX with hyperref package + hypdvips access_permission:fill_in_form: true pdf:encrypted: false dc:title: Modeling Music-Selection Behavior in Everyday Life: A Multilevel Statistical Learning Approach and Mediation Analysis of Experience Sampling Data modified: 2019-03-19T16:07:18Z cp:subject: Music listening has become a highly individualized activity with smartphones and music streaming services providing listeners with absolute freedom to listen to any kind of music in any situation. pdf:docinfo:subject: Music listening has become a highly individualized activity with smartphones and music streaming services providing listeners with absolute freedom to listen to any kind of music in any situation. pdf:docinfo:creator: Fabian Greb meta:author: Fabian Greb meta:creation-date: 2019-03-15T14:09:13Z created: 2019-03-15T14:09:13Z access_permission:extract_for_accessibility: true Creation-Date: 2019-03-15T14:09:13Z Author: Fabian Greb producer: dvips + MiKTeX GPL Ghostscript 9.0 pdf:docinfo:producer: dvips + MiKTeX GPL Ghostscript 9.0 pdf:unmappedUnicodeCharsPerPage: 0 dc:description: Music listening has become a highly individualized activity with smartphones and music streaming services providing listeners with absolute freedom to listen to any kind of music in any situation. Keywords: music-listening behavior, music-selection behavior, functions of music listening, machine learning, experience sampling method, user behavior analysis access_permission:modify_annotations: true dc:creator: Fabian Greb description: Music listening has become a highly individualized activity with smartphones and music streaming services providing listeners with absolute freedom to listen to any kind of music in any situation. dcterms:created: 2019-03-15T14:09:13Z Last-Modified: 2019-03-19T16:07:18Z dcterms:modified: 2019-03-19T16:07:18Z title: Modeling Music-Selection Behavior in Everyday Life: A Multilevel Statistical Learning Approach and Mediation Analysis of Experience Sampling Data xmpMM:DocumentID: 68fd8fbd-4987-11e9-0000-eb45c66f1101 Last-Save-Date: 2019-03-19T16:07:18Z pdf:docinfo:keywords: music-listening behavior, music-selection behavior, functions of music listening, machine learning, experience sampling method, user behavior analysis pdf:docinfo:modified: 2019-03-19T16:07:18Z meta:save-date: 2019-03-19T16:07:18Z Content-Type: application/pdf X-Parsed-By: org.apache.tika.parser.DefaultParser creator: Fabian Greb dc:language: en dc:subject: music-listening behavior, music-selection behavior, functions of music listening, machine learning, experience sampling method, user behavior analysis access_permission:assemble_document: true xmpTPg:NPages: 20 pdf:charsPerPage: 3048 access_permission:extract_content: true access_permission:can_print: true meta:keyword: music-listening behavior, music-selection behavior, functions of music listening, machine learning, experience sampling method, user behavior analysis access_permission:can_modify: true pdf:docinfo:created: 2019-03-15T14:09:13Z