Education Leadership Data Analytics (ELDA) is an emerging domain that is centered at the intersection of education leadership, the use of evidence-based improvement cycles in schools to promote instructional improvement, and education data science. ELDA practitioners work collaboratively with school and district leaders and teachers to analyze,…

Accountability seems forever engrained into the K-12 environment, as has been the expectation of delivering quality education to school aged children and adolescents. Yet, repeated failure of this expectation has focused the public's and policy maker's attention on the limitations of major accountability systems. This paper explores applications…

When many people hear the term "big data", they primarily think of a technology tool for the collection and reporting of data of high variety, volume, and velocity. However, the complexity of big data is not only the technology, but the supporting processes, policies, and people supporting it. This paper was written by three experts to…

This study examines the relationship between sample size and item parameter estimation precision when utilizing the one-parameter model. Item parameter estimates are examined relative to "true" values by evaluating the decline in root mean squared deviation (RMSD) and the number of outliers as sample size increases. This occurs across…

This study used mixed methods to explore the impact of a university-hosted professional learning community (PLC) on teacher retention in public schools. Recent graduates (1-3 years) and mentor teachers were invited to participate. Via a case study approach, participants were challenged to look critically at their teaching and use data to…

The benefits of making data-informed decisions to improve learning rely on educators correctly interpreting given data. Many educators routinely misinterpret data, even at districts with proactive support for data use. The tool most educators use for data analyses, which is an information technology data system or its reports, typically reports…

Due to 'pressures' to publish research papers, a group of novice researchers (n = 9) was encouraged to attend a 'Write right' workshop. The participants were asked to fill out a self-report anxiety questionnaire to understand their worries in writing research papers in English. Afterwards, they were asked to write an essay on situations that…

This presentation discusses the use of a time series approach to the analysis of daily attendance in two urban high schools over the course of one school year (2009-10). After establishing that the series for both schools were stationary, they were examined for moving average processes, autoregression, seasonal dependencies (weekly cycles),…

Power has a great importance in organization life, which has intense social relations. People working organizations might play various political games in order to get power or maintain the control they have over other people. The purpose of this study is to elicit political games that academicians play in universities. In this study data were…

The aim of this study is determining academic self-efficacy beliefs of students pursuing graduate study and revealing their needs and shortcomings from the graduate education. Case study method was used and data were collected by a form developed by the researchers from 92 students receiving masters and Ph.D.'s in different programs. As a result…

What are the challenges faced by a mid-south liberal arts college teacher education program, in its attempt to successfully meet the new Council for the Accreditation of Educator Preparation (CAEP) accreditation requirements? The Investigator studied the Educator Program Provider (EPP) during academic year 2015-2016. The challenges faced by the…

There is extensive research on the benefits of making data-informed decisions to improve learning, but these benefits rely on the data being effectively interpreted. Despite educators' above-average intellect and education levels, there is evidence many educators routinely misinterpret student data. Data analysis problems persist even at districts…

This paper introduces latent growth modeling (LGM) as a statistical method for analyzing change over time in latent, or unobserved, variables, with particular emphasis of the application of this method in higher education research. While increasingly popular in other areas of education research and despite a wealth of publicly-available datasets…

The purpose of this study was to examine the difference between students' scores in comprehension (English Language Arts) tests when they are led in Brain Gym® activities before class instruction and when they are taught using traditional teaching strategies. The sample for this study consisted of 11 males and 9 females. Data were collected by…

When respondents fail to use response scales of survey questionnaires as intended, latent variable modeling of data can produce disordered category thresholds. The objective of this paper is to show the usefulness of the Rasch modeling features to explore different ways of collapsing categories so that they are properly ordered and fit for further…