Digital Commons Network^™

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. …

Split Classification Model For Complex Clustered Data, Katherine Gerot

Honors Theses

Classification in high-dimensional data has generated tremendous interest in a multitude of fields. Data in higher dimensions often tend to reside in non-Euclidean metric space. This prevents Euclidean-based classification methodologies, such as regression, from reliably modeling the data. Many proposed models rely on computationally-complex embedding to convert the data to a more usable format. Others, namely the Support Vector Machine, rely on kernel manipulation to implicitly describe the "feature space" to arrive at a non-linear decision boundary. The proposed methodology in this paper seeks to classify complex data in a relatively computationally-simple and explainable manner.

A Peer Review Of Teaching Portfolio — Stat 822: Statistical Methods Ii, Reka Howard

UNL Faculty Course Portfolios

The peer review of teaching program gave me the opportunity to reflect on my teaching in terms of pedagogical goals and methods for the course Stat 822: Statistical Methods II which is offered to MS level students in the Department of Statistics. Even though the course is part of the list of required courses for MS students in the department, typically about a third of the students are from other departments. The portfolio describes details about how the course fits into the MS program in the Department of Statistics, the context of the course, the learning objectives, expectations from students, …

Using Stability To Select A Shrinkage Method, Dean Dustin

Department of Statistics: Dissertations, Theses, and Student Work

Shrinkage methods are estimation techniques based on optimizing expressions to find which variables to include in an analysis, typically a linear regression. The general form of these expressions is the sum of an empirical risk plus a complexity penalty based on the number of parameters. Many shrinkage methods are known to satisfy an ‘oracle’ property meaning that asymptotically they select the correct variables and estimate their coefficients efficiently. In Section 1.2, we show oracle properties in two general settings. The first uses a log likelihood in place of the empirical risk and allows a general class of penalties. The second …

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 …

The Role Of Topography, Soil, And Remotely Sensed Vegetation Condition Towards Predicting Crop Yield, Trenton E. Franz, Sayli Pokal, Justin P. Gibson, Yuzhen Zhou, Hamed Gholizadeh, Fatima Amor Tenorio, Daran Rudnick, Derek M. Heeren, Matthew F. Mccabe, Matteo Ziliani, Zhenong Jin, Kaiyu Guan, Ming Pan, John Gates, Brian Wardlow

School of Natural Resources: Faculty Publications

Foreknowledge of the spatiotemporal drivers of crop yield would provide a valuable source of information to optimize on-farm inputs and maximize profitability. In recent years, an abundance of spatial data providing information on soils, topography, and vegetation condition have become available from both proximal and remote sensing platforms. Given the wide range of data costs (between USD $0−50/ha), it is important to understand where often limited financial resources should be directed to optimize field production. Two key questions arise. First, will these data actually aid in better fine-resolution yield prediction to help optimize crop management and farm economics? Second, what …

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 …

Elementary Teacher Education Program- Vital Statistics, Guy Trainin, Mary Masur

Research and Evaluation in Education, Technology, Art, and Design

This inforgraphic presents data about the students in UNL's Elmentary Teacher Education Program based on data from Academic Year 2013-2014.

Favorable Team Scores Under The Team-Based Learning Paradigm: A Statistical Artifact?, Trevor Hefley, Andrew J. Tyre

RURALS: Review of Undergraduate Research in Agricultural and Life Sciences

Team-based learning (TBL) is a highly structured method of active small group learning and consists of identical tests taken individually and in groups. We reviewed literature to determine the scoring methods used for individual and group testing. Twenty-eight percent of the studies used multiple choice formats for the individual test and formats that allow for immediate feedback and corrective scoring for the group test. We calculated the expected value of both individual and group tests and found that by default groups will score higher than individuals, even if there is no actual difference in performance. We urge TBL practitioners to …

Ec12-823 2012 Nebraska Farm Custom Rates - Part I, Roger K. Wilson

University of Nebraska-Lincoln Extension: Historical Materials

Every two years a survey of custom operators is conducted to determine the current rates charged for specific machinery operations. The survey is divided into Part I (EC12-823) and Part II (EC12-826). Part I includes the spring and summer operations such as planting and small grains harvest, and Part II includes information about fall and miscellaneous operations.

The information presented here should be used only as a guide. Rates change from year to year due to cost changes and the availability of custom operators.

Invited Commentary: Dietary Pattern Analysis, Fumiaki Imamura, Paul F. Jaques

United States Department of Agriculture-Agricultural Research Service / University of Nebraska-Lincoln: Faculty Publications

The analytic approaches used in nutritional epidemiology for dietary pattern analyses share common characteristics with those of genetic epidemiology. In this issue of the Journal, Gorst-Rasmussen et al. (Am J Epidemiol. 2011;173(10):1097–1104) discuss one such approach. Application of methods used in genetic pattern analyses to nutritional epidemiology could prove valuable but raises important issues that need to be considered because dietary and genetic studies often address different types of questions in analyzing interrelated variables. These different aims require statistical methods that assume different characteristics of the underlying patterns. The authors briefly describe such differences to facilitate interpretation and …

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 …

Zhong Guo Chu Zhong Sheng Yin Jiu Xing Wei Yu Qi Ta Jian Kang Wei Xian Xing Wei De Guan Xi [Alcohol Use And Associated Risk Factors Among Chinese Middle School Students], Teresa M. Merrick, Ying Zhang, Ben-Chun Tian, Ling Qian, Ian M. Newman

Department of Educational Psychology: Faculty Publications

Objective-- To explore the relationship between reported alcohol-use in Chinese youth to other reported health risk behaviors, and to provide bases for their health education.

Methods -- The data of 2003 Global School-Based Student Health Survey in China and related material of survey came from WHO website. SPSS 13.0 was applied for cross-tabulated data analysis and Chi-square test was used to analyze the relationships between alcohol-use and other risk behaviors.

Results -- Students who reported alcohol use within the last 30 days were also at significant risk from direct health behaviors, other health behaviors, environmental factors and psychological factors, especially …

How Do You Interpret A Confidence Interval?, Paul Savory

Industrial and Management Systems Engineering: Instructional Materials

A confidence interval (CI) is an interval estimate of a population parameter. Instead of estimating the parameter by a single value, a point estimate, an interval likely to cover the parameter is developed. Many student incorrectly interpret the meaning of a confidence interval. This paper offers a quick overview of how to correctly interpret a confidence interval.

Why Divide By (N-1) For Sample Standard Deviation?, Paul Savory

Industrial and Management Systems Engineering: Instructional Materials

In statistics, the sample standard deviation is a widely used measure of the variability or dispersion of a data set. The standard deviation of a data set is the square root of its variance. In calculating the sample standard deviation, the divisor is the number of samples in the data set minus one (n-1) rather than n. This often confuses students. This paper offers a quick overview of why the divisor is (n-1) for calculating the sample standard deviation.

Sound Survey Designs Can Facilitate Integrating Stream Monitoring Data Across Multiple Programs, David P. Larsen, Anthony R. Olsen, Steven H. Lanigan, Chris Moyer, Kim K. Jones, Thomas M. Kincaid

United States Environmental Protection Agency: Staff Publications

Multiple agencies in the Pacific Northwest monitor the condition of stream networks or their watersheds. Some agencies use a stream ‘‘network’’ perspective to report on the fraction or length of the network that either meets or violates particular criteria. Other agencies use a ‘‘watershed’’ perspective to report on the health or condition of watersheds. The agencies often use the same indicators and measurement protocols for data collection and often conduct monitoring in overlapping geographic regions. In these situations, agencies would like to combine data across different monitoring studies in a statistically sound manner to make regional estimates of condition. Three …

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 …

Ec01-883 Crop And Livestock Prices For Nebraska Producers, Roger Selley, Dillon Feuz, Tina Barrett

University of Nebraska-Lincoln Extension: Historical Materials

This report contains historical price data for the major crops and livestock classes produced in Nebraska. Prices received by producers are reported for 1960-2000 or for the period listed in each table heading.

The data was compiled from Nebraska Agricultural Statistics, Nebraska Agricultural Statistics Service and Agricultural Prices, USDA; Livestock, Meat and Wool Market News, Livestock and Grain Market News, Agricultural Marketing Service, USDA; and from Agricultural Statistics Board, National Agricultural Statistics Service, USDA. Each table indicates the price source.

Variance Components And Breeding Values For Growth Traits From Different Statistical Models, G. B. Ferreira, M. D. Macneil, L. Dale Van Vleck

Department of Animal Science: Faculty Publications

Estimates of genetic parameters resulting from various analytical models for birth weight (BWT, n = 4,155), 205-d weight (WWT, n = 3,884), and 365-d weight (YWT, n = 3,476) were compared. Data consisted of records for Line 1 Hereford cattle selected for postweaning growth from 1934 to 1989 at ARSUSDA, Miles City, MT. Twelve models were compared. Model 1 included fixed effects of year, sex, age of dam; covariates for birth day and inbreeding coefficients of animal and of dam; and random animal genetic and residual effects. Model 2 was the same as Model 1 but ignored inbreeding coefficients. Model …

G84-727 Financing State And Local Government In Nebraska -- An Overview (Revised March 1992), A.L. (Roy) Frederick

University of Nebraska-Lincoln Extension: Historical Materials

This is one of a series of NebGuides on financing state and local government. This publication provides an overview of key trends and issues.

Government's primary purpose is to provide public services. In the United States these services are provided by federal, state and local units of government. Sometimes one entity has full responsibility for providing for a common need, as the federal government does for national defense. Often, however, responsibilities are shared, as in public education.

A wide array of public services are provided because citizens have asked for them. Sometimes it is a minority of citizens who have …

G84-730 Financing Social Services In Nebraska (Revised December 1992), A.L. (Roy) Frederick

University of Nebraska-Lincoln Extension: Historical Materials

This is one of a series of NebGuides on financing state and local government. This publication focuses on social services.

Social services programs in Nebraska provide public assistance to individuals who, for reasons beyond their control, are unable to support themselves. Public assistance programs are of two broad types. The first type provides cash assistance directly to those who qualify. All other programs involve payments to vendors (providers) who, in turn, provide needed services.

G82-621 Sources Of Livestock And Poultry Market Information (Revised July 1994), Allen Wellman

University of Nebraska-Lincoln Extension: Historical Materials

This NebGuide provides a list of various market information sources, each followed by a brief summary of issue schedules and contents.

It provides a listing of widely used and readily available market information sources that contain information which may be useful to agricultural producers, lenders and agribusiness firms when making livestock and poultry marketing decisions. Most of the available market information and statistical data comes from the U.S. Department of Agriculture (USDA). Many now require an annual subscription fee.

G82-622 Sources Of Grain Market Information, Allen C. Wellman

University of Nebraska-Lincoln Extension: Historical Materials

A list of various market information sources, each followed by a brief summary of distribution schedules and contents.

This NebGuide lists widely used and readily available market information sources that contain information which may be useful to agricultural producers, lenders and agribusiness firms when making grain marketing decisions. Most of the available market information and statistical data comes from the U.S. Department of Agriculture (USDA).

Generally, there are two basic types of market information available to data users. The first type, Market News Service, is provided by the USDA's Agricultural Marketing Service (AMS) and concerns daily prices used to make …