Social and Behavioral Sciences Commons^™

Coverage Error Properties Of Smartphone And Smartphone Operating System Ownership On Web Surveys: A Total Survey Error Perspective, Angelica Phillips

Department of Sociology: Dissertations, Theses, and Student Research

While smartphone ownership rates near 90% of the US population, differences in the types of people who do or do not own smartphones may contribute to coverage error biases within smartphone-exclusive web surveys. Therefore, understanding the predictors of smartphone ownership is of interest for survey researchers. Further, differential ownership of smartphone operating systems (OS) such as Android OS and iOS across groups of the population is also of interest for researchers who administer smartphone application surveys which are only compatible with one OS. However, little research has assessed differential rates of smartphone ownership over time nor has any research to …

Library Usage Statistics (2018-2020): A Prerequisite For Evaluating Information Service Delivery In Nyong Essien Library, University Of Uyo, Nigeria, Daniel Aniekan Aloysius, Eno Richard Torosco

Library Philosophy and Practice (e-journal)

This study examined library usage statistics (2018-2020): a prerequisite for evaluating information service delivery in Nyong Essien library, University of Uyo, Nigeria. Four research questions were raised to guide the study. Historical research design was employed. Record sheets which comprised Head Counts and number of consulted information sources in serials, reference and e-resource from 2018-2020 academic sessions were used by the researchers. All records were purposively sampled. The instrument for data collection was records of users in the Readers and E-resources. The records were face validated by the researchers. Frequency distribution and histogram were used to analyzed the research questions. …

Eeg Reinvestigations Of Visual Statistical Learning For Faces, Scenes, And Objects, Mei Grace Behrendt, P. Cheng Lim, Aaron T. Halvorsen, Karl Kuntzelman, Matthew R. Johnson

UCARE Research Products

The objective of this ongoing, replication study is to understand temporal and spatial patterns in our environment by using the technique of electroencephalography (EEG). Visual statistical learning (VSL) helps us to understand conditional probabilities from our environments. This concept is why we know that chairs are located under tables, not above. The goal of this study is to understand whether participants can unconsciously associate pairs of items (faces, scenes, and objects) from their short-term memory. Strong pairs become more similar to each other, as compared to weak pairs, which become less similar. In the main task, participants saw items appear …

Automated Outlier Detection In Crime Data Using Programming, Aidan Connolly

Honors Theses

After the University of Nebraska-Lincoln Police Department began publishing their Daily Crime and Fire Log online, journalists and other members of the public have been able to view updates almost instantly. They can see what incidents have been reported so far for that day, and they can view any day back to 2005. Using an advanced search, they can also filter the data by date range, location or crime type. However, there is no way to analyze the data. There’s no way to see how crime reports have evolved over time. Other people have developed programs to look at past …

Essentials Of Structural Equation Modeling, Mustafa Emre Civelek

Zea E-Books Collection

Structural Equation Modeling is a statistical method increasingly used in scientific studies in the fields of Social Sciences. It is currently a preferred analysis method, especially in doctoral dissertations and academic researches. However, since many universities do not include this method in the curriculum of undergraduate and graduate courses, students and scholars try to solve the problems they encounter by using various books and internet resources.

This book aims to guide the researcher who wants to use this method in a way that is free from math expressions. It teaches the steps of a research program using structured equality modeling …

Summary Brief: Unl Libraries 2003/04 – 2007/08 Acquisitions: Performance Of Non-Serial Volumes Available For Checkout, David C. Tyler

UNL Libraries: White Papers

The activity of the included five years’ worth of receipts was analyzed for both degree of idleness and extent of use. Analyses were conducted upon the collection of receipts as a whole and upon the collection disaggregated into broad subject categories and into Library of Congress (LC) subclasses. When reading the report to follow, one should keep in mind that statistics may sometimes mask as much as they reveal, especially when one is dealing with non-discrete category data. For example, several LC subclasses (e.g., HC = Economic Theory and Demography) cover multiple topical areas, so analysis at the LC …

Statistics For Wildlifers: How Much And What Kind?, Douglas H. Johnson, Terry L. Shaffer, Wesley E. Newton

USGS Northern Prairie Wildlife Research Center

Quantitative methods are playing increasingly important roles in wildlife ecology and, ultimately, management. This change poses a challenge for wildlife practitioners and students who are not well educated in mathematics and statistics. Here we give our opinions on what wildlife biologists should know about statistics, while recognizing that not everyone is inclined mathematically. For those who are, we recommend that they take mathematics coursework at least through calculus and linear algebra. They should take statistics courses that are focused conceptually, stressing the "why" rather than the "how" of doing statistics. For less mathematically oriented wildlifers, introductory classes in statistical techniques …