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Sarkar, Saurabh – ProQuest LLC, 2013
In the modern world information has become the new power. An increasing amount of efforts are being made to gather data, resources being allocated, time being invested and tools being developed. Data collection is no longer a myth; however, it remains a great challenge to create value out of the enormous data that is being collected. Data modeling…
Descriptors: Data Analysis, Data Collection, Error of Measurement, Research Problems
Wolfle, Lee M. – 1983
Many studies of educational outcomes collect data on the socioeconomic characteristics of parents from students, and not from the parents themselves. Nevertheless, students are often fallible informants of parental status factors. A series of distinct hierarchical measurement models were used to examine the structure of errors in high school…
Descriptors: Blacks, Data Collection, Employment Level, Error of Measurement
Wolfle, Lee M. – 1979
Structural equation models incorporating unmeasured variables make possible the rigorous testing of theories previously difficult to test adequately because of fallible measures of the theoretic variables. This paper first discusses a simple causal model; incorporating a single unmeasured variable for the purpose of exposition. A substantive…
Descriptors: Academic Achievement, Computer Programs, Critical Path Method, Cultural Differences
Kingston, Neal M.; Holland, Paul W. – 1986
This study addresses the test-disclosure-related need for more Graduate Record Examinations (GRE) General Test editions in a situation where the number of examinees is stable or declining. Equating is used to guarantee that examinees of different test editions are treated equitably. The data collection designs used in this study were: (1)…
Descriptors: College Entrance Examinations, Data Collection, Equated Scores, Error of Measurement