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Larini, Michel; Barthes, Angela – John Wiley & Sons, Inc, 2018
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…
Descriptors: Statistical Analysis, Educational Research, Data Collection, Data Processing
Joseph G. Donelan; Yu Liu – Advances in Accounting Education: Teaching and Curriculum Innovations, 2021
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…
Descriptors: Accounting, Business Education, Teaching Methods, Curriculum Design
Cheema, Jehanzeb R. – Review of Educational Research, 2014
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…
Descriptors: Educational Research, Data, Data Collection, Data Processing
Gee, Kevin A. – American Journal of Evaluation, 2014
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,…
Descriptors: Longitudinal Studies, Data Analysis, Statistical Studies, Program Evaluation
Michalski, Greg V. – Association for Institutional Research (NJ1), 2011
Excessive college course withdrawals are costly to the student and the institution in terms of time to degree completion, available classroom space, and other resources. Although generally well quantified, detailed analysis of the reasons given by students for course withdrawal is less common. To address this, a text mining analysis was performed…
Descriptors: College Instruction, Courses, Withdrawal (Education), College Students
Kovacevic, Aleksandar; Ivanovic, Dragan; Milosavljevic, Branko; Konjovic, Zora; Surla, Dusan – Program: Electronic Library and Information Systems, 2011
Purpose: The aim of this paper is to develop a system for automatic extraction of metadata from scientific papers in PDF format for the information system for monitoring the scientific research activity of the University of Novi Sad (CRIS UNS). Design/methodology/approach: The system is based on machine learning and performs automatic extraction…
Descriptors: Scientific Research, Library Administration, Classification, Information Science

Kemis, Mari; Walker, David A. – Journal of College Student Development, 2000
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)
Descriptors: Data Collection, Data Processing, Evaluation Methods, Evaluation Research
Gallagher, Leonard; Salazar, Sandra – 1984
This report describes approaches to database translation (i.e., transferring data and data definitions from a source, either a database management system (DBMS) or a batch file, to a target DBMS), and recommends a method for representing the data structures of newly-proposed network and relational data models in a form suitable for database…
Descriptors: Computers, Cost Effectiveness, Costs, Data Processing
Kang, ByungHoon; Wilensky, Robert – 2001
This paper describes a model of self-administering data. In this model, a declarative description of how a data object should behave is attached to the object, either by a user or by a data input device. A widespread infrastructure of self-administering data handlers is presumed to exist; these handlers are responsible for carrying out the…
Descriptors: Access to Information, Data Processing, Electronic Libraries, Information Management
Stewart, Henry M. – CAUSE/EFFECT, 1995
The University of Rochester's experience with online analytical processing (OLAP), part of its executive information system, is reported. The server, a multiuser, local area network (LAN)-based database loaded from legacy systems or a data warehouse, can rapidly manipulate and display data, and allows quick creation and changing of analytical…
Descriptors: College Administration, Data Processing, Databases, Decision Making
California Community Colleges, Sacramento. Office of the Chancellor. – 1978
This manual contains information on two evaluation systems for occupational programs at California community colleges. For the first, COPES (Community College Occupational Programs Evaluation System), which is a self-evaluation process, a guide is provided as well as a set of seven evaluation forms for the college president, faculty, counselors…
Descriptors: Classification, College Curriculum, Community Colleges, Data Collection