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Peer reviewedGriffith, James – School Effectiveness and School Improvement, 2002
Describes and demonstrates analytical techniques used in organizational psychology and contemporary multilevel analysis. Using these analytic techniques, examines the relationship between educational outcomes and the school environment. Finds that at least some indicators might be represented as school-level phenomena. Results imply that the…
Descriptors: Data Analysis, Elementary Secondary Education, Evaluation Research, Research Methodology
Peer reviewedBaum, Sandy – Optometric Education, 2000
Discussion and analysis of effects of educational debt for professional school students includes four tables based on the National Student Loan Survey showing: (1) income and debt levels by graduate field of study; (2) graduate students in law and medicine (debts and income); (3) fields of graduate study with high payment-to-income ratios; and (4)…
Descriptors: Data Analysis, Debt (Financial), Higher Education, Income
Peer reviewedJacobs, Laurence; Worthley, Reginald – Environmental Monitoring and Assessment, 1999
Examines perceived risk data from the United States, China, Japan, and South Korea. Compares similar results collected from previous studies. Analyzes psychometric scaling scores from Burkina Faso, France, Norway, and Hungary. (Author/CCM)
Descriptors: Data, Data Analysis, Environment, Environmental Influences
Peer reviewedStephens, Max – Australian Primary Mathematics Classroom, 1998
Argues that students need to recognize the purpose for which data is gathered, classified, and arranged. Discusses insights into mathematics teaching and learning in a Japanese classroom. (CCM)
Descriptors: Class Activities, Data, Data Analysis, Elementary Education
Peer reviewedLejeune, Miguel A. P. M. – Internet Research, 2001
Churn management is a concern for businesses, particularly in the digital economy. A customer relationship framework is proposed to help deal with churn issues. The model integrates the electronic channel and involves four tools for enhancing data collection, data treatment, data analysis and data integration in the decision-making process.…
Descriptors: Business, Data Analysis, Data Collection, Decision Making
Peer reviewedRodgers-Farmer, Antoinette Y.; Davis, Diane – Social Work Research, 2001
Uses data from the 1994 AIDS Knowledge and Attitudes Supplement to the National Health Interview Survey (NHIS) to illustrate that biased point estimates, inappropriate standard errors, and misleading tests of significance can result from using traditional software packages, such as SPSS or SAS, for complex survey analysis. (BF)
Descriptors: Data Analysis, Evaluation Methods, Evaluation Problems, Research Methodology
Elias, Lorin J.; Robinson, Brent M. – Brain and Cognition, 2005
People presume that the light source in pictures comes from above, and there is some evidence that this phenomenon also demonstrates lateral biases. When investigators present multiple ambiguous stimuli or visually complex objects, people assume that the source of light is from above, and to the left. However, when single relatively simple stimuli…
Descriptors: Lighting, Visual Perception, Visual Stimuli, Research Methodology
Matson, Johnny L.; Malone, Carrie J. – Research in Developmental Disabilities: A Multidisciplinary Journal, 2006
Currently there are no available sleep disorder measures for individuals with severe and profound intellectual disability. We, therefore, attempted to establish the external validity of the "Diagnostic Assessment for the Severely Handicapped-II" (DASH-II) sleep subscale by comparing daily observational sleep data with the responses of…
Descriptors: Institutionalized Persons, Test Validity, Severe Mental Retardation, Sleep
Wise, Steven L.; DeMars, Christine E. – Educational Assessment, 2005
Student test-taking motivation in low-stakes assessment testing is examined in terms of both its relationship to test performance and the implications of low student effort for test validity. A theoretical model of test-taking motivation is presented, with a synthesis of previous research indicating that low student motivation is associated with a…
Descriptors: Test Validity, Academic Achievement, Student Motivation, Tests
Dolan, Conor V.; Schmittmann, Verena D.; Lubke, Gitta H.; Neale, Michael C. – Structural Equation Modeling: A Multidisciplinary Journal, 2005
A linear latent growth curve mixture model is presented which includes switching between growth curves. Switching is accommodated by means of a Markov transition model. The model is formulated with switching as a highly constrained multivariate mixture model and is fitted using the freely available Mx program. The model is illustrated by analyzing…
Descriptors: Drinking, Adolescents, Evaluation Methods, Structural Equation Models
Glaister, P. – International Journal of Mathematical Education in Science and Technology, 2005
Three techniques for determining a straight line fit to data are compared. The methods are applied to a range of datasets containing one or more outliers, and to a specific example from the field of chemistry. For the method which is the most resistant to the presence of outliers, a Microsoft Excel spreadsheet, as well as two Matlab routines, are…
Descriptors: Mathematical Concepts, Engineering, Sciences, Science Teachers
Young, Richard A.; Valach, Ladislav; Domene, Jose F. – Journal of Counseling Psychology, 2005
The qualitative action-project method is described as an appropriate and heuristic qualitative research method for use in counseling psychology. Action theory, which addresses human intentional, goal-directed action, project, and career, provides the conceptual framework for the method. Data gathering and analysis involve multiple procedures to…
Descriptors: Psychologists, Qualitative Research, Counseling Psychology, Research Methodology
Lubke, Gitta H.; Muthen, Bengt – Psychological Methods, 2005
Sources of population heterogeneity may or may not be observed. If the sources of heterogeneity are observed (e.g., gender), the sample can be split into groups and the data analyzed with methods for multiple groups. If the sources of population heterogeneity are unobserved, the data can be analyzed with latent class models. Factor mixture models…
Descriptors: Youth, Evaluation Methods, Factor Analysis, Data Analysis
Peer reviewedCapraro, Mary Margaret; Kulm, Gerald; Capraro, Robert M. – School Science and Mathematics, 2005
A sample of 134 sixth-grade students who were using the Connected Mathematics curriculum were administered an open-ended item entitled, Vet Club (Balanced Assessment, 2000). This paper explores the role of misconceptions and naive conceptions in the acquisition of statistical thinking for middle grades students. Students exhibited misconceptions…
Descriptors: Grade 6, Probability, Misconceptions, Mathematics Education
Kirkland, John; Bimler, David; Drawneek, Andrew; McKim, Margaret; Scholmerich, Axel – Early Child Development and Care, 2004
Attachment Q-Sort (AQS) is a tool for quantifying observations about toddler/caregiver relationships. Previous studies have applied factor analysis to the full 90 AQS item set to explore the structure underlying them. Here we explore that structure by applying multidimensional scaling (MDS) to judgements of inter-item similarity. AQS items are…
Descriptors: Foreign Countries, Toddlers, Data Analysis, Parent Child Relationship

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