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Large-Scale Predictor Validation in Project A: Data Collection Procedures and Data Base Preparation.
Peer reviewedYoung, Winnie Y.; And Others – Personnel Psychology, 1990
Defines data base for Army Selection and Classification Project (Project A) as containing two major samples: concurrent validation sample and longitudinal validation sample. Describes data base resulting from concurrent sample, sampling procedure, distribution of sample sizes over jobs, total array of variables, and data collection procedures.…
Descriptors: Classification, Data Collection, Databases, Military Service
Peer reviewedPlewes, Thomas J. – Monthly Labor Review, 1990
Envisages possible enhancements in labor force data collection, analysis, and dissemination, with expansion of both household and establishment surveys and greater use of administrative data. (Author)
Descriptors: Data Analysis, Data Collection, Information Dissemination, Labor Force
Peer reviewedAndrich, David – Applied Psychological Measurement, 1995
Two classes of graded response models, one based on the work of L. L. Thurstone and the other on the work of G. Rasch, are juxtaposed and shown to satisfy important but mutually incompatible criteria and to reflect different response processes. Implications of the choice between these models are discussed. (Author/SLD)
Descriptors: Classification, Criteria, Data Collection, Item Response Theory
Peer reviewedMalaney, Gary D.; Weitzer, William H. – NASPA Journal, 1993
Offers framework of 15 research methods varying by cost and expertise to promote more systematic approach to conducting student life research. Focuses on need for student life research. Most standard social science methods are discussed. Examples of research conducted by the Student Affairs Research, Information, and Systems Office at the…
Descriptors: College Students, Data Collection, Higher Education, Models
Gallagher, Joe – American School & University, 1999
Discusses the expanded uses of school identification-card systems for college campuses and the benefits to the campus of having a one-card, multi-purpose system. Addresses tips for setting up a one-card system, and its future potential and benefit to a college. (GR)
Descriptors: Data Collection, Guidelines, Higher Education, School Security
Peer reviewedPatrick, Julie Hicks; Pruchno, Rachel A.; Rose, Miriam S. – Gerontologist, 1998
Compares the costs and effectiveness of different recruitment strategies when a large and racially representative sample is needed, but specific requirements limit eligibility. Discusses common methods of social research recruitment, and evaluates five nonprobability sampling strategies. Discusses sample development when stratification is…
Descriptors: Cost Effectiveness, Data Collection, Gerontology, Recruitment
Peer reviewedKlauer, Karl Christoph – Psychological Review, 1999
Argues that selecting data according to expected information gain, as proposed by M. Oaksford and N. Chater (1994, 1996), leads to suboptimal performance in Bayesian hypothesis testing. Procedures are presented that are better justified normatively, their psychological implications are explored, and a number of novel predictions are derived under…
Descriptors: Bayesian Statistics, Data Collection, Hypothesis Testing, Performance Based Assessment
Peer reviewedChater, Nick; Oaksford, Mike – Psychological Review, 1999
Argues that Klauer's proposal (1999) and proposal presented are equally well justified from a normative perspective and that, where the predictions of the two approaches diverge, the existing empirical evidence is consistent with the information gain approach. Recommends that more empirical research is required to decide between these two…
Descriptors: Bayesian Statistics, Data Collection, Hypothesis Testing, Performance Based Assessment
Zemke, Ron – Training, 1998
When training must be delivered quickly, needs assessment remains crucial despite time pressures. Quick ways to conduct needs assessment include interviews with key staff, analysis of information gathered for other purposes, and use of the World Wide Web. (SK)
Descriptors: Corporate Education, Data Collection, Evaluation Methods, Needs Assessment
Staniewicz, Theodore J.; Watson, Joseph J. – Facilities Manager, 2001
Examines the difficulties the electric industry's deregulation created for St. Joseph's University's (Philadelphia) development of a thermal ice-storage system as part of its HVAC design and the school's solution. A monthly equipment summary sheet with year-to-date figures is provided. (GR)
Descriptors: Climate Control, Data Collection, Electricity, Facility Planning
Hoffman, Lee – Education Statistics Quarterly, 2000
Discusses the history, uses, and ongoing development of the Common Core of Data (CCD). Describes the six surveys of the CCD, explores issues in survey and data quality, and discusses recent and ongoing developments. (Author/SLD)
Descriptors: Data Collection, Educational Research, Elementary Secondary Education, National Surveys
Peer reviewedTopp, Neal W.; Pawloski, Bob – Journal of Science Education and Technology, 2002
Describes the eventful history of online data collection and presents a review of current literature following by a list of pros and cons to be considered when stepping into online surveying. (Contains 14 references.) (Author/YDS)
Descriptors: Data Collection, Educational History, Research, Surveys
Peer reviewedMohr, Lawrence B. – American Journal of Evaluation, 1999
Discusses qualitative methods of impact analysis and provides an introductory treatment of one such approach. Combines an awareness of an alternative causal epistemology with current knowledge of qualitative methods of data collection and measurement to produce an approach to the analysis of impacts. (SLD)
Descriptors: Causal Models, Data Collection, Epistemology, Measurement Techniques
Redman, Thomas C. – EDUCAUSE Review, 2004
This document discusses the importance of data-quality and presents three simple steps that can help lay the framework for an over all data-quality strategy. The first step is to ask some rather simple questions, such as: (1) How much data does the organization have, how fast is it creating new data, and how many redundant copies are there?; and…
Descriptors: Computer Storage Devices, Computers, Data, Quality Control
Pica, Teresa; Kang, Hyun-Sook; Sauro, Shannon – Studies in Second Language Acquisition, 2006
This article describes how information gap tasks can be designed as instruments for data collection and analysis and as treatments in interaction research. The development of such tasks is illustrated and data are presented on their role in drawing learners' attention to second language (L2) forms that are difficult to notice through classroom…
Descriptors: Research Methodology, Data Analysis, Data Collection, Second Language Learning

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