Social and Behavioral Sciences Commons^™

Open Source Data For “When People Estimate Their Personal Intelligence Who Is Overconfident? Who Is Accurate?”, John D. Mayer, A. T. Panter, David R. Caruso

UNH Personality Lab

This Excel workbook contains the key computed variables analyzed in Studies 1, 2, and 3 of the article, “When People Estimate their Personal Intelligence Who is Overconfident? Who is Accurate?”, by Mayer, Panter, and Caruso found the Journal of Personality, 2020. Missing value code and other details are explained in the first worksheet of the Excel Workbook.

Alma Link Resolver Material Type Report 2019-2020, Andrée J. Rathemacher

Technical Services Reports and Statistics

Statistics for 2019-2020 on the number of OpenURL requests by material type made to the Ex Libris Alma link resolver for items held by the University of Rhode Island Libraries.

Information provided includes Material Type, Number of Requests, Number of Clicked Requests, and % Clicks from Requests.

Alma Link Resolver Referring Sources Report 2019-2020, Andrée J. Rathemacher

Technical Services Reports and Statistics

Statistics from 2019-2020 on the number of OpenURL requests made to the Alma link resolver for items held by the University of Rhode Island Libraries.

Information provided includes Source, Number of Requests, Number of Clicked Requests, % Clicks from Requests.

Note: "36520" = EBSCOhost

Alma Link Resolver Title & Issn Report (Top 500) 2019-2020, Andrée J. Rathemacher

Technical Services Reports and Statistics

Statistics for 2019-2020 on the total number of OpenURL requests by journal title and ISSN made to the Ex Libris Alma link resolver for items held by the University of Rhode Island Libraries. Includes only the top 500 journals.

Information provided includes journal Title, ISSN, EISSN, Number of Requests, Number of Clicked Requests, % Clicks from Requests.

Alma Link Resolver Subject Report 2019-2020, Andrée J. Rathemacher

Technical Services Reports and Statistics

Statistics for 2019-2020 on the number of OpenURL requests by Library of Congress classification code made to the Ex Libris Alma link resolver for items held by the University of Rhode Island Libraries.

Information provided includes Classification Code, Classifications, Number of Requests, Number of Clicked Requests, and % Clicks from Requests.

Tislar Steelman Seductive Details Study, Kay Tislar, Kelly S. Steelman

Data Files

No abstract provided.

2019 Annual Population Report Tables (April 15, 2020), Portland State University. Population Research Center

Oregon Population Estimates and Reports

The population data in the 2019 annual report tables were compiled by the Population Research Center, Portland State University, 4/15/2020.

The tables in this workbook present the 2019 population estimates produced by the Population Research Center, Portland State University. The July 1 estimates of total population for counties and cities and towns were certified December 15, 2019.

Some tables include the U.S. Census Bureau's decennial Census counts and historical population estimates produced by our Center, and other tables include calculations of change since Census 2010. Also included are population estimates for broad age groups and 5-year age groups; the estimates …

Learning Objective Measures And Participant Comments From The Great Lakes Science Boot Camps For Librarians, 2015-2019, Bethany S. Mcgowan, Jennifer Hart, Karen Hum

Libraries Faculty and Staff Supplemental Materials

5 of these 6 Excel files include Likert measures of participant responses to questions measuring the achievement of learning objectives for the Great Lakes Science Boot Camps for Librarians and Library School Students, from 2015-2019. Free-text comments are also included. 1 Excel file contains a coded dataset for free-text comments from 2015-2019, along with the results of a Principal Component Analysis.

This data complements the C&RL article, Specialized Regional Conferences Support the Professional Development Needs of Subject Librarians: A 5-Year Analysis of the Great Lakes Science Boot Camps for Librarians.

Data From: Municipal Water Consumption And Urban Economic Growth In El Paso, Daniel J. Pastor, Thomas M. Fullerton Jr.

Datasets

This study investigates the nexus between municipal water consumption and economic growth for El Paso, Texas. Located in the semi-arid southwestern United States, El Paso water consumption has been the subject of prior economic studies. However, the relationship between water consumption and economic growth has not been previously analyzed for El Paso or any other metropolitan economies in the region. Empirical results indicate that municipal water usage and real personal income are integrated of order one, but are not co-integrated. Given that, a vector autoregression model is estimated and a Granger causality test is performed. Estimation results show unidirectional causation …

Academic Librarian Burnout Dataset, Barbara Wood, Ana Guimaraes, Christina Holm, Sherrill Hayes, Kyle Brooks

Datasets

In the Spring of 2018, the authors administered the highly validated and reliable Copenhagen Burnout Inventory work-related sub-scale to 1,628 academic librarians employed within the United States. Academic librarians reported a total work-related burnout score of 49.6. Overall, female participants who were 35–44 years of age reported the highest levels of work-related burnout with males and older individuals reporting the lowest levels of work-related burnout. This study also revealed some interesting information about non-binary/third-gender librarians that suggests further research is warranted.

Using Ecological Analyses To Characterize Socio-Economic Food Deserts, Annie Goyanes, J. Matthew Hoch

Marine & Environmental Sciences Faculty Datasets

“Food desert” refers to an area where citizens lack access to fresh, affordable, nutritious food. Food deserts are generally in low-income urban neighborhoods or rural towns and can be considered environmental or economic injustice. South Florida and Broward County have been documented as having a high food insecurity rate, indicative of households having difficulty putting food on the table. Given the high rate of food insecurity, it was hypothesized that a lack of access to food and the presence of socio-economic food deserts was at least partially responsible. Data was collected by visiting three supermarkets in each of the 13 …

Data Set: An Unmediated Consortia Interlibrary Loan Service: The Data And Discovery Of Csu+, Christopher Lee, Meghann Weldon

Research Data Sets

No abstract provided.