Gas Turbine Engines (GTE) have the highest power-to-weight ratio among Internal Combustion Engines (ICE). Its modularity and ability to utilize various types of fuel make it highly recommended in power plants, naval transportation, and, of course, the most equipped in aviation. The lack of GTEs' real data is increasing a recognized need for…

This book presents different data collection and representation techniques: elementary descriptive statistics, confirmatory statistics, multivariate approaches and statistical modeling. It exposes the possibility of giving more robustness to the classical methodologies of education sciences by adding a quantitative approach. The fundamentals of…

This chapter advocates a teaching approach for the statement of cash flows (SCF) that includes introduction of the SCF early in the curriculum using the accounting equation format, which helps students visualize the cash and accrual activities. We then adapt this accounting equation format to a worksheet model that can be used later in the…

The increase in education data and advance in technology are bringing about enhanced teaching and learning methodology. The emerging field of Learning Analytics (LA) continues to seek ways to improve the different methods of gathering, analysing, managing and presenting learners' data with the sole aim of using it to improve the student learning…

While the field of educational data mining (EDM) has generated many innovations for improving educational software and student learning, the mining of student data has recently come under a great deal of scrutiny. Many stakeholder groups, including public officials, media outlets, and parents, have voiced concern over the privacy of student data…

Missing data are a common occurrence in survey-based research studies in education, and the way missing values are handled can significantly affect the results of analyses based on such data. Despite known problems with performance of some missing data handling methods, such as mean imputation, many researchers in education continue to use those…

The growth in the availability of longitudinal data--data collected over time on the same individuals--as part of program evaluations has opened up exciting possibilities for evaluators to ask more nuanced questions about how individuals' outcomes change over time. However, in order to leverage longitudinal data to glean these important insights,…

Recent changes in European higher education have accompanied a strong desire and need by national ministries to have comparable data across institutions and a growing recognition from campus leaders that effective planning and decision-making requires reliable institutional data and analyses. This has induced changes and restructuring of duties…

The advent of Web 2.0, also called the Social Web, has changed the way people interact with the Web. Assisted by the technologies associated with this new trend, users now play a much more active role as content providers. This Web paradigm shift has also changed how companies operate and interact with their employees, partners and customers. The…

Conventional physics laboratory courses generally include an emphasis on increasing students' ability to carry out data analysis according to scientific practice, in particular, those aspects that relate to measurement uncertainty. This study evaluates the efficacy of the conventional approach by analyzing the understanding of measurement of…

Describes the a-e-I-o-u program evaluation approach, a framework for organizing key evaluation questions that allows for many models of evaluation and/or methods of data collection. Evaluations by users of the approach have indicated that it provides a practical way to organize evaluation questions and collect appropriate data. (GCP)

Contends that, in developing countries, attention must be paid to the quality of data going into computer-based information management systems; otherwise implementation of the system may provide only a deceptively systematic procedure for making random decisions. Examines errors, assumptions, inabilities, and omissions that threaten data quality…

This technical report documents the procedures used to collect and summarize data from the 2000 High School Transcript Study (HSTS 2000). Chapters in the report detail the sampling of schools and students (chapters 2 and 3), data collection procedures (chapter 4), data processing procedures (chapter 5), and weighting procedures (chapter 6).…

Presents an overview of an approach in training Black masters-level students in research, with emphasis on research design, data collection, data analysis, and computer usage. (JCD)

Collecting patient morbidity information in academic ambulatory practice is useful for research, practice management, and evaluation and planning of educational programs. Three methods of morbidity data collection were compared to determine which was most accurate. (Author/MLW)