1 to 10 of 596 Results
Jun 27, 2025
Dailey, Stephanie F, 2023, "Lockdown Impact Scale for Caregivers (LIS-C)", https://doi.org/10.13021/ORC2020/XPGLKC, George Mason University Dataverse, V2, UNF:6:Ba0vZOpR+YrKFnsDtdKTMw== [fileUNF]
A national sample of 999 caregivers with at least one child currently enrolled in grades K-12. |
Jun 27, 2025 -
Lockdown Impact Scale for Caregivers (LIS-C)
Adobe PDF - 88.3 KB -
MD5: 6836dae3617500077952ae50d039185c
Includes full scale, description of scale metrics, usage, permissions, and scoring information. |
Feb 26, 2024
Weinstein, Ali A; van Aert, R.C.M, 2023, "Meta-Analysis: Effects of Acute Exercise on General Mood", https://doi.org/10.13021/ORC2020/KA1SLZ, George Mason University Dataverse, V2
The purpose of the present data (meta-analysis) was to quantify the effect size of the affective response to acute exercise and to identify factors that are associated with an enhanced or attenuated affective response to acute exercise. The uploaded are the extracted data from th... |
Feb 26, 2024 -
Meta-Analysis: Effects of Acute Exercise on General Mood
MS Excel Spreadsheet - 107.1 KB -
MD5: 11ed8cafd0646c00a88177de1dfdf16c
|
Feb 26, 2024 -
Meta-Analysis: Effects of Acute Exercise on General Mood
R Syntax - 17.7 KB -
MD5: 0ca5765ea3af03db7cf51a2dfa0f0585
|
Feb 26, 2024 -
Meta-Analysis: Effects of Acute Exercise on General Mood
R Syntax - 18.0 KB -
MD5: d1eabf2f2eec2bc08d15600b58bd9a08
|
Feb 26, 2024 -
Meta-Analysis: Effects of Acute Exercise on General Mood
R Syntax - 17.7 KB -
MD5: bb0e860ed5739e9490057464caeb4a44
|
Feb 26, 2024 -
Meta-Analysis: Effects of Acute Exercise on General Mood
R Notebook - 63.3 KB -
MD5: bdb804220c80b3b033019d086d994953
|
Feb 26, 2024 -
Meta-Analysis: Effects of Acute Exercise on General Mood
R Notebook - 66.5 KB -
MD5: a575ee23b51fb884ed3a4e61fd59afc4
|
Nov 27, 2023
Malikov, Maxim; Tither, Emmy; Kobylarz, Brian; Berea, Anamaria; Trombly, Christopher, 2023, "The Bible and Natural Language Processing: Building a Corpus for Digital Scholars", https://doi.org/10.13021/ORC2020/RCCN7C, George Mason University Dataverse, V1
This corpus contains a cleaned and organized set of Bible texts in machine-readable format, with tags separating Bible books, chapters and verses. For each Bible, the canonical 66 books are included (from both Old and New Testaments), to allow for cross-referencing and comparison... |