College-level statistics courses emphasize the use of the coefficient of determination, R-squared, in evaluating a linear regression model: higher R-squared is better. This often gives students an impression that higher R-squared implies better predictability since textbooks tend to use sample data to support the theory and students rarely have an…

Large-scale analyses are a powerful and increasingly common tool for investigating a range of public health and social concerns (Pienta, O'Rourke, & Franks, 2011). This series will provide a primer on large-scale secondary analysis in school psychology, with this article focusing on considerations for researchers interested in applying and…

Universities are pursuing learning analytics practices to improve returns from their investments, develop behavioral and academic interventions to improve student success, and address political and financial pressures. Academic libraries are additionally undertaking learning analytics to demonstrate value to stakeholders, assess learning gains…

The purpose of this study was to compare 12 commonly-used nonoverlap methods with each other and with the results of visual analysis. Data were obtained from 25 studies focused on embedded instruction and schema-based instruction and included a total of 101 graphs. Treatment effect estimates using 12 nonoverlap methods were calculated for each…

Missing data result in less precise and possibly biased effect estimates in single studies. Bias arising from studies with incomplete outcome data is naturally propagated in a meta-analysis. Conventional analysis using only individuals with available data is adequate when the meta-analyst can be confident that the data are missing at random (MAR)…

Large swaths of data are readily available in various fields, and education is no exception. In tandem, the impetus to derive meaningful insights from data gains urgency. Recent advances in deep learning, particularly in the area of voice and image recognition and so-called complete knowledge games like chess, go, and StarCraft, have resulted in a…

In the modern, information driven society managing and handling data is unavoidable. The most common form of data handling is to organize data into tables and complete operations on them in spreadsheets. Sprego (Spreadsheet Lego) is a programming-oriented methodology focusing on schemata construction and authentic problem-solving working with only…

The present study aimed at clarifying the various shortcomings of the Cohen's criteria for the interpretation of the values of the practical significance indicators. The hypothetical data were used for two experimental and control groups and calculating the paired-samples t-test. To clarify the inadequacy of Cohen's criteria in interpreting…

When HR executives and buyers prioritize leadership development options for their senior leaders, corporate coaching is often at the top of the list. Particularly in times of profound change and disruption, executives and senior-level managers need the support of a coach who can help them filter through noise and make clear decisions that propel…

The purpose of the study is to discuss accurate and effective data collection for qualitative studies. The analysis of the written documents for the study was carried out via the descriptive analysis approach. Many documents reviewed, checked for authenticity, arranged, and organized by field experts can be a source of data, and using these…

Current recommended cutoffs for determining measurement invariance have typically derived from simulation studies that have focused on multigroup confirmatory factor analysis, often using continuous data. These cutoffs may be inappropriate for ordered categorical data in a longitudinal setting. This study conducts two Monte Carlo studies that…

When Dr. Tina Lupton and Dr. Timisha Barnes-Jones joined the Winston-Salem/Forsyth County Schools, Opportunity Culture implementation was happening in the midst of COVID. Lupton, the executive director of professional learning, and Barnes-Jones, the area superintendent for a network of 15 transformation schools, used their experience in other…

One of the key commitments of the Community College Research Initiatives (CCRI's) STEM Transfer Partnership (STP) program is to transform STEM transfer pathways and improve outcomes for students from low-income backgrounds using student input. Student input is an essential element in institutional transformation for student success but the process…

A digital platform is a networked infrastructure that allows people to engage in various kinds of interactions: social, economic, political, educational. Digital platforms can play a fundamental part of today's English language arts (ELA) classroom. Students read, write, view, connect, and interact with, on, and through a kaleidoscope of digital…

This report outlines key data elements related to the Western Undergraduate Exchange (WUE), Western Regional Graduate Program (WRGP), and Professional Student Exchange Program (PSEP) for the 2022-23 academic year and is a core resource for policymakers, institutional leaders, counselors and other stakeholders across the region. This report…