Managing and analysing large qualitative datasets pose a particular challenge for researchers seeking a consistent and rigorous approach to qualitative data analysis. This paper describes and demonstrates the development and adoption of a matrix tool to guide the qualitative data analysis of a large sample (N = 122) of interview data. The paper…

There are usually limited user evaluation of resources on a recommender system, which caused an extremely sparse user rating matrix, and this greatly reduce the accuracy of personalized recommendation, especially for new users or new items. This paper presents a recommendation method based on rating prediction using causal association rules.…

The research reported in this article lends support to using matrix sampling procedures with paired comparisons in survey research. When a large number of items are to be assessed, matrix sampling proves to be a reliable and effective way to obtain survey data. (Author/CT)

This article examines the utility of multi-matrix sampling as a technique in health education research that permits collection of large quantities of data without lengthy questionnaires or excessive time demands on respondents. Advantages and limitations of multi-matrix sampling are delineated through a hypothetical example. (Authors/CJ)

Complete paired comparisons data was obtained by use of multiple rank order (MRO) in the context of gathering rank order preferences of grade six students, their parents, and teachers for instructional objectives. Partially balanced incomplete block designs with two associate classes were used in the MRO instruments instead of the usual balanced…

An examination of methodological referencing patterns for actual physics, engineering, and sociology literature for the year 1983, using a Dunn planned comparison approach, indicates that physics differs from both engineering and sociology, while no difference was found between engineering and sociology. References are given in each sample…

Results of data analysis on 470 journal titles illustrate complexity of the fuzzy set theory modeling process, which consists of three factors--number of missing issues, citations, circulations--and its limitations in making journal binding decisions. Procedures of research, data collection, and data analysis are discussed. Matrices are included.…

Although the process of doing social network analysis (SNA) is similar to traditional research and evaluation design, it is in the details that the two traditions diverge. This article describes two areas of differences: (1) the framework for doing SNA; and (2) data collection, analysis, and specific measures. SNA is about relationships and how to…

One solution to the problem of obtaining test scores in order to assess multiple outcomes of educational programs is a basically simple technique called matrix sampling. Matrix sampling is the estimation of total test score statistics by administering random subsets of test items to randomly selected students. This chapter lays out the specific…

Needs assessment is an activity undertaken for planning purposes. It is important to define the limits of the study and design it on a scale appropriate to the entire planning process. This paper suggests that a needs assessment be structured into two phases. In the pre-assessment phase, a conceptual framework and well-defined exploratory…

This paper discusses the experiences and insight derived from the 1985-1986 Statewide Evaluation of the Early Education Program of Handicapped Children in Louisiana, the multimethod evaluation of preschool intervention projects for handicapped and at-risk children. The program served almost 5,000 handicapped preschoolers and their parents,…

This report on Phase IV, of a four-phase study, provided for the development of evaluation templates and instruments to be used by the California Department of Education to facilitate systematic assessment of state funded educational technology programs and projects. These assessment documents comprised the major data collection sources for the…

The 7th International Conference on Education Data Mining held on July 4th-7th, 2014, at the Institute of Education, London, UK is the leading international forum for high-quality research that mines large data sets in order to answer educational research questions that shed light on the learning process. These data sets may come from the traces…