PhD candidates: You are welcome and encouraged to deposit your dissertation here, but be aware that
1. it is optional, not required (the ProQuest deposit is required); and
2. it will be available to everyone online; there is no embargo for dissertations in the UNL Digital Commons.

Master's candidates: Deposit of your thesis or project is required. (If an embargo [restricted access] is necessary, you may deposit it at https://digitalcommons.unl.edu/embargotheses/ only after getting approval from your department and the Graduate Office; contact Terri Eastin).

TO DEPOSIT YOUR DISSERTATION OR THESIS

1. Create or log in to your Digital Commons account
To create an account: click on My Account at https://digitalcommons.unl.edu then Sign up.
Fill in your names, email address, create a password, and click on Create Account.
Reply to the confirming email from the system, if you get one (check your spam folder).
Your email address will not be published or shared.

2. Instructions for deposit
Click the Submit your paper or article link at the bottom of the gray box at left.

You should be able to copy (Ctrl-C) and paste (Ctrl-V) most fields.
TITLE: Fill it in using title case (that is, capitals for the first letter of all words except articles and prepositions).
AUTHOR: In each respective box, enter your names (and/or initials) as they appear on the title page of your dissertation or thesis. You are the sole author; your advisor is not considered a co-author. Institution is University of Nebraska-Lincoln (not "at Lincoln" or ", Lincoln"). Do not leave this field blank.
FIRST ADVISOR: Enter your advisor’s name. Add a second and third, if needed (advisors only, not committee members).
DATE OF THIS VERSION: Month and Year only.
CITATION: Copy and paste the rest of whatever appears on the title page of your work. It usually starts with something like “A THESIS Presented to the Faculty …” and ends with “Lincoln, Nebraska [month] [year].”
ABSTRACT: Just include the body of the abstract, not the title or your name, but DO add your advisor’s name at the end of the abstract after the word Advisor and a colon, like this: Advisor: ….
Skip the ORCID IDs, Keywords, Disciplines, and Comments fields, and DO NOT check a bubble for the Publication Status field.
Click UPLOAD FILE FROM YOUR COMPUTER. Select the file of your work from your device (should be in Portable Document Format, PDF).
Click the SUBMIT button at the bottom.

YOU DID IT! Your work is submitted!

CONGRATULATIONS on reaching this amazing milestone in your academic career!

3. After your initial deposit
Upon deposit, you will receive an email that your submission has been received; you need to show the Graduate Office this message.

Before we complete your upload, we usually wait a day or two to give you an opportunity to correct those oops issues that seem to emerge just after deposit. Before it’s been posted, you can still log back in and select Revise and upload a new version so you can upload a version with your advisor's name spelled right or whatever else needs to be fixed.

It is important that you DO NOT resubmit another file after it’s been posted online. This causes lots of problems.

But have no fear: If further changes are needed after it’s been posted, you can send a revised file to the series administrator (Sue Gardner) requesting to replace it.

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2024

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Examining the Effect of Word Embeddings and Preprocessing Methods on Fake News Detection, Jessica Hauschild

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Human Perception of Exponentially Increasing Data Displayed on a Log Scale Evaluated Through Experimental Graphics Tasks, Emily Robinson

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Group Testing Identification: Objective Functions, Implementation, and Multiplex Assays, Brianna D. Hitt

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2019

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Optimal Design for a Causal Structure, Zaher Kmail

2018

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2017

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A Characterization of a Value Added Model and a New Multi-Stage Model For Estimating Teacher Effects Within Small School Systems, Julie M. Garai

2016

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Methods to Account for Breed Composition in a Bayesian GWAS Method which Utilizes Haplotype Clusters, Danielle F. Wilson-Wells

2015

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Beta-Binomial Kriging: A New Approach to Modeling Spatially Correlated Proportions, Aimee Schwab

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A New Approach to Modeling Multivariate Time Series on Multiple Temporal Scales, Tucker Zeleny

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A Reduced Bias Method of Estimating Variance Components in Generalized Linear Mixed Models, Elizabeth A. Claassen

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Informative Retesting for Hierarchical Group Testing, Michael S. Black

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A Test for Detecting Changes in Closed Networks Based on the Number of Communications Between Nodes, Christopher S. Wichman

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A Comparison of Spatial Prediction Techniques Using Both Hard and Soft Data, Megan L. Liedtke Tesar

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Estimating Teacher Effects Using Value-Added Models, Jennifer L. Green

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