Social and Behavioral Sciences Commons^™

2022-2023 Women's Basketball Statistics, Cedarville University

Women's Basketball Statistics

No abstract provided.

The Employment Situation Of Veterans: March 2023, Institute For Veterans And Military Families At Syracuse University

Institute for Veterans and Military Families

Veteran employment trends and statistics among various demographics during March 2023

Towards Scalable Mental Health: Leveraging Digital Tools In Combination With Computational Modeling To Aid In Treatment And Assessment Of Major Depressive Disorder, Matthew D. Nemesure

Dartmouth College Ph.D Dissertations

Major depressive disorder (MDD) is a debilitating disorder that impacts the lives of nearly 280 million individuals worldwide, representing 5% of the overall adult population. Unfortunately, these statistics have been both trending upward and are also likely an underestimate. This can be primarily attributed to lack of screening paired with a lack of providers. Worldwide, there are roughly 450 individuals living with MDD per mental health care provider. Adding to this burden, approximately half of affected individuals that do receive care of any kind will fail to remain in remission. The goal of this thesis work is to leverage statistical …

Digitalcommons@Cedarville Statistical Report For February 2023, Cedarville University

DigitalCommons@Cedarville Monthly Reports

No abstract provided.

The Employment Situation Of Veterans: February 2023, Institute For Veterans And Military Families At Syracuse University

Institute for Veterans and Military Families

Veteran employment trends and statistics among various demographics during February 2023

Digitalcommons@Cedarville Statistical Report For January 2023, Cedarville University

DigitalCommons@Cedarville Monthly Reports

No abstract provided.

The Employment Situation Of Veterans: January 2023, Institute For Veterans And Military Families At Syracuse University

Institute for Veterans and Military Families

Veteran employment trends and statistics among various demographics during January 2023

Usage Statistics: Project Counter R5 Tr_J1 Report Fy2022 - Journal Requests (Excluding Oa_Gold) By Platform, Andrée J. Rathemacher

Technical Services Reports and Statistics

Project COUNTER R5 Report TR_J1 for the University of Rhode Island for the period from July 1, 2021 - June 30, 2022. The TR_J1 report is defined as "Journal Requests (Excluding OA_Gold)." This report presents an annual total only and only includes those platforms successfully configured for automated harvesting via SUSHI.

File for download is Excel spreadsheet generated by Alma Analytics.

Results:

Total Item Requests - 771,947

Unique Item Requests - 578,437

Usage Statistics: Project Counter R5 Pr_P1 Report Fy2022 - Platform Usage, Andrée J. Rathemacher

Technical Services Reports and Statistics

Project COUNTER R5 Report PR_P1 for the University of Rhode Island for the period from July 1, 2021 - June 30, 2022. The PR_P1 report is defined as "Platform Usage." This report presents an annual total only and only includes those platforms successfully configured for automated harvesting via SUSHI.

File for download is Excel spreadsheet generated by Alma Analytics.

Results:

Searches Platform - 390,026

Total Item Requests - 1,061,890

Unique Item Requests - 797,626

Unique Title Requests - 43,693

Usage Statistics: Project Counter R5 Tr_B1 Report Fy2022 - Book Requests (Excluding Oa_Gold) By Platform, Andrée J. Rathemacher

Technical Services Reports and Statistics

Project COUNTER R5 Report TR_B1 for the University of Rhode Island for the period from July 1, 2021 - June 30, 2022. The TR_B1 report is defined as "Book Requests (Excluding OA_Gold)." This report presents an annual total only and only includes those platforms successfully configured for automated harvesting via SUSHI.

File for download is Excel spreadsheet generated by Alma Analytics.

Results:

Total Item Requests - 92,619

Unique Title Requests - 43,012

Usage Statistics: Project Counter R5 Tr_B1 Report Fy2022 - Book Requests (Excluding Oa_Gold) By Title, Andrée J. Rathemacher

Technical Services Reports and Statistics

Project COUNTER R5 Report TR_B1 for the University of Rhode Island for the period from July 1, 2021 - June 30, 2022. The TR_B1 report is defined as "Book Requests (Excluding OA_Gold)." This report presents an annual total only and only includes those platforms successfully configured for automated harvesting via SUSHI.

File for download is Excel spreadsheet generated by Alma Analytics.

Results:

Total Item Requests - 92,619

Unique Title Requests - 43,012

Usage Statistics: Project Counter R5 Tr_J1 Report Fy2022 - Journal Requests (Excluding Oa_Gold) By Title, Andrée J. Rathemacher

Technical Services Reports and Statistics

Project COUNTER R5 Report TR_J1 for the University of Rhode Island for the period from July 1, 2021 - June 30, 2022. The TR_J1 report is defined as "Journal Requests (Excluding OA_Gold)." This report presents an annual total only and only includes those platforms successfully configured for automated harvesting via SUSHI.

File for download is Excel spreadsheet generated by Alma Analytics.

Results:

Total Item Requests - 771,947

Unique Item Requests - 578,437

Usage Statistics: Project Counter R5 Dr_D1 Report Fy2022 - Database Search And Item Usage, Andrée J. Rathemacher

Technical Services Reports and Statistics

Project COUNTER R5 Report DR_D1 for the University of Rhode Island for the period from July 1, 2021 - June 30, 2022. The DR_D1 report is defined as "Database Search and Item Usage." This report presents an annual total only and only includes those platforms successfully configured for automated harvesting via SUSHI.

File for download is Excel spreadsheet generated by Alma Analytics.

Results:

Searches Automated - 316,771

Searches Federated - 52,533

Searches Regular - 768,218

Total Item Investigations - 930,171

Total Item Requests - 251,936

Usage Statistics: Project Counter R5 Ir_M1 Report Fy2022 - Multimedia Item Requests, Andrée J. Rathemacher

Technical Services Reports and Statistics

Project COUNTER R5 Report IR_M1 for the University of Rhode Island for the period from July 1, 2021 - June 30, 2022. The IR_M1 report is defined as "Multimedia Item Requests." This report presents an annual total only and only includes those platforms successfully configured for automated harvesting via SUSHI.

File for download is Excel spreadsheet generated by Alma Analytics.

Results:

Total Item Requests - 4,309

Centennial Library 2022-2023 Annual Report, Cedarville University

Centennial Library Annual Reports

No abstract provided.

Commentaries On “Scale Use And Abuse: Toward Best Practices In The Deployment Of Scales”, Constantine S. Katsikeas, Shilpa Madan, C. Miguel Brendl, Bobby J. Calder, Donald R. Lehmann, Hans Baumgartner, Bert Weijters, Mo Wang, Chengquan Huang, Joel Huber

Research Collection Lee Kong Chian School Of Business

Five comments below provide strong and interesting perspectives on multi-item scale use. They define contexts and research areas where developed scales are valuable and where they are vulnerable. Katsikeas and Madan begin by taking a global perspective on scale use, demonstrating how the use and transferability of scales become even more problematic as researchers move across languages and cultures. They provide guidance for scale use that is particularly relevant to international marketing and marketing strategy research. Brendl and Calder acknowledge the use of well-formed scales as measured variables in psychological experiments, both as independent and dependent variables, but critique the …

Establishing Roots Before Branching Out: Parameter Recovery In Item Response Tree Models, Tyler Ryan

Browse all Theses and Dissertations

Item Response Trees are a type of item response model that incorporates information about conditional responding to items using a rooted tree graph structure. Researchers have used item response trees for common measurement tasks and for testing novel hypotheses. Previous simulation studies investigating item response trees either lack generalizability to the broad domain of their use or lack thorough investigation and reporting of the results. I conducted a simulation study to explore how sample size, test length, item characteristics, and tree structure affect both item and person parameter recovery for 1PL and 2PL models. The results suggested that, as with …

The Employment Situation Of Veterans: December 2022, Institute For Veterans And Military Families At Syracuse University

Institute for Veterans and Military Families

Veteran employment trends and statistics among various demographics during December 2022

Data From An International Multi-Centre Study Of Statistics And Mathematics Anxieties And Related Variables In University Students (The Smarvus Dataset), Jenny Terry, Robert M. Ross, Tamás Nagy, Mauricio Salgado, Patricia Garrido-Vásquez, Jacob O. Sarfo, Susan Cooper, Anke C. Buttner, Tiago J. S. Lima, İbrahim Öztürk, Nazli Akay, Flavia H. Santos, Christina Artemenko, Lee T. Copping, Mahmoud M. Elsherif, Ilija Milovanović, Robert A. Cribbie, Marina G. Drushlyak, Katherine Swainston, Yiyun Shou, Juan D. Leongómez, Nicola Palena, Fitri A. Abidin, Maria F. Reyes-Rodríguez, Yunfeng He, Juneman Abraham, Argiro Vatakis, Kristin Jankowsky, Stephanie N. L. Schmidt, Elise Grimm, Desirée González, Philipp Schmid, Roberto A. Ferreira, Dmitri Rozgonjuk, Neslihan Özhan, Patrick A. O'Connor, Andras N. Zsido, Gregor Stiglic, Darren Rhodes, Cristina Rodríguez, Ivan Ropovik, Violeta Enea, Ratri Nurwanti, Alejandro J. Estudillo, Nataly Beribisky, Karel K. Himawan, Linda M. Geven, Anne H. Van Hoogmoed, Amélie Bret, Jodie E. Chapman, Udi Alter, Zoe M. Flack, Donncha Hanna, Mojtaba Soltanlou, Gabriel Banik, Matúš Adamkovič, Sanne H. G. Van Der Ven, Jochen A. Mosbacher, Hilal H. Şen, Joel R. Anderson, Michael Batashvili, Kristel De Groot, Matthew O. Parker, Mai Helmy, Mariia M. Ostroha, Katie A. Gilligan-Lee, Felix O. Egara, Martin J. Barwood, Karuna Thomas, Grace Mcmahon, Siobhán M. Griffin, Hans-Christoph Nuerk, Alyssa Counsell, Oliver Lindemann, Dirk Van Rooy, Theresa E. Wege, Joanna E. Lewis, Balazs Aczel, Conal Monaghan, Ali H. Al-Hoorie, Julia F. Huber, Saadet Yapan, Mauricio E. Garrido Vásquez, Antonino Callea, Tolga Ergiyen, James M. Clay, Gaetan Mertens, Feyza Topçu, Merve G. Tutlu, Karin Täht, Kristel Mikkor, Letizia Caso, Alexander Karner, Maxine M. C. Storm, Gabriella Daroczy, Rizqy A. Zein, Andrea Greco, Erin M. Buchanan, Katharina Schmid, Thomas E. Hunt, Jonas De Keersmaecker, Peter E. Branney, Jordan Randell, Oliver J. Clark, Crystal N. Steltenpohl, Bhasker Malu, Burcu Tekeş, Tamilselvan Ramis, Stefan Agrigoroaei, Nicholas A. Badcock, Kareena Mcaloney-Kocaman, Olena V. Semenikhina, Erich W. Graf, Charlie Lea, Kalu T. U. Ogba, Fergus M. Guppy, Amy C. Warhurst, Shane Lindsay, Ahmed A. Khateeb, Frank Scharnowski, Leontien De Kwaadsteniet, Kathryn B. Francis, Mariah Lecompte, Lisa A. D. Webster, Kinga Morsanyi, Suzanna E. Forwood, Elizabeth R. Walters, Linda K. Tip, Jordan R. Wagge, Ho Y. Lai, Deborah S. Crossland, Kohinoor M. Darda, Tessa R. Flack, Zoe Leviston, Matthew Brolly, Samuel P. Hills, Elizabeth Collins, Andrew J. Roberts, Wing-Yee Cheung, Sophie Leonard, Bruno Verschuere, Samantha K. Stanley, Iro Xenidou-Dervou, Omid Ghasemi, Timothy Liew, Daniel Ansari, Johnrev Guilaran, Samuel G. Penny, Julia Bahnmueller, Christopher J. Hand, Unita W. Rahajeng, Dar Peterburg, Zsofia K. Takacs, Michael J. Platow, Andy P. Field

Research outputs 2022 to 2026

This large, international dataset contains survey responses from N = 12,570 students from 100 universities in 35 countries, collected in 21 languages. We measured anxieties (statistics, mathematics, test, trait, social interaction, performance, creativity, intolerance of uncertainty, and fear of negative evaluation), self-efficacy, persistence, and the cognitive reflection test, and collected demographics, previous mathematics grades, self-reported and official statistics grades, and statistics module details. Data reuse potential is broad, including testing links between anxieties and statistics/mathematics education factors, and examining instruments’ psychometric properties across different languages and contexts.

Digitalcommons@Cedarville Statistical Report For December 2022, Cedarville University

DigitalCommons@Cedarville Monthly Reports

No abstract provided.

Digitalcommons@Cedarville Statistical Report For November 2022, Cedarville University

DigitalCommons@Cedarville Monthly Reports

No abstract provided.

The Employment Situation Of Veterans: November 2022, Institute For Veterans And Military Families At Syracuse University

Institute for Veterans and Military Families

Veteran employment trends and statistics among various demographics during November 2022

Digitalcommons@Cedarville Statistical Report For October 2022, Cedarville University

DigitalCommons@Cedarville Monthly Reports

No abstract provided.

Repository Additions, October 2022, Cedarville University

DigitalCommons@Cedarville Monthly Reports

No abstract provided.

The Employment Situation Of Veterans: October 2022, Institute For Veterans And Military Families At Syracuse University

Institute for Veterans and Military Families

Veteran employment trends and statistics among various demographics during October 2022

Digitalcommons@Cedarville Statistical Report For September 2022, Cedarville University

DigitalCommons@Cedarville Monthly Reports

No abstract provided.

Repository Additions, September 2022, Cedarville University

DigitalCommons@Cedarville Monthly Reports

No abstract provided.

The Employment Situation Of Veterans: September 2022, Institute For Veterans And Military Families At Syracuse University

Institute for Veterans and Military Families

Veteran employment trends and statistics among various demographics during September 2022

Uni·Cen Documentation Report 2: Standardized Census Data Tables, Zack Taylor

UNI-CEN documentation

The Unified Infrastructure for Canadian Census Research, or UNI·CEN, is a comprehensive database of historical and contemporary Canadian aggregate Census data, digital boundary files, and ancillary material, all provided in modern data formats. The goal of the project is to liberate Canadian Census data so that it can be easily used by academic researchers, students, and the public.

The UNI·CEN Standardized Census Data Tables series contains reformatted versions of all publicly available digital Census data. This documentation report describes the data sources, tabular formats, and file types used.

Digitalcommons@Cedarville Statistical Report For August 2022, Cedarville University

DigitalCommons@Cedarville Monthly Reports

No abstract provided.