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Hoachlander, Gary; And Others – Vocational Education Journal, 1995
Hoachlander look at Perkins accountability requirements and suggests that they can lead to improved programs if they are used correctly. Rader and Quick discuss how to use spreadsheets to keep on top of student portfolios and program data. (JOW)
Descriptors: Accountability, Benchmarking, Data Collection, Program Implementation
Peer reviewedGruneberg, Michael; Sykes, Robert – Language Learning Journal, 1994
Studies variables affecting language achievement at school by examining attitudes of 273 non-language students toward language learning in terms of enjoyment, ease of vocabulary and grammar learning, and satisfaction with teachers. Although less than half the students enjoyed their school experience, many expressed a desire to learn a foreign…
Descriptors: College Students, Data Collection, Foreign Countries, Higher Education
Peer reviewedStiles, Joan – Monographs of the Society for Research in Child Development, 1994
Considers the bases of criticism of parent report as an index of their children's behavioral development and ways in which problems associated with parent report were addressed in the construction of the MacArthur Communicative Development Inventories (CDIs). Examines the nature of responses elicited from parents as they complete the CDIs. (BC)
Descriptors: Behavior Development, Body Language, Child Behavior, Data Collection
Peer reviewedAckerson, Jack – Journal of Interactive Instruction Development, 1995
Discusses how to conduct a top-level analysis of training management functions to identify problems within a training system resulting from rapid growth, the acquisition of new departments, or mergers. The data gathering process and analyses are explained, training management functions and activities are described, and root causes and solutions…
Descriptors: Administration, Data Collection, Evaluation Methods, Industrial Training
Friedel, Janice Nahra; Lapin, Joel D. – New Directions for Community Colleges, 1995
Discusses the importance of environmental scanning in the planning efforts of rural community colleges. Reviews basic techniques and terminology and suggests sources of data. Argues that environmental scanning allows rural colleges to inexpensively forecast change, identify implications for the organization, and plan preferred responses to shape…
Descriptors: College Planning, College Role, Community Colleges, Data Collection
Swanson, David; And Others – Small Town, 1995
Increasingly, unpopular facilities are sited in sparsely populated areas for which data are unavailable. The Local Expert Procedure (LEP) estimates selected demographic characteristics of small, rural areas by combining the housing unit method of population estimation with random sampling and key informant ethnography. Factors affecting the…
Descriptors: Data Collection, Demography, Maximum Likelihood Statistics, Measurement Techniques
Peer reviewedOlswang, Lesley B.; Bain, Barbara A. – Language, Speech, and Hearing Services in Schools, 1991
This article reviews the critical issues that influence whether a child with language impairments can benefit from intervention. It recommends three procedures (profiling, dynamic assessment, and tracking/monitoring) as tools for helping speech-language pathologists make informed decisions about intervention. (Author/JDD)
Descriptors: Data Collection, Decision Making, Elementary Secondary Education, Evaluation Methods
Peer reviewedHolmes, Janet; And Others – Applied Linguistics, 1993
Drawing on the results of sociolinguistic research in three ethnically different communities in Wellington, New Zealand, this paper explores and illustrates the process of language shift and language revival. Members of the Greek, Tongan, and Chinese communities were interviewed; and data were collected on their language proficiency, patterns of…
Descriptors: Chinese, Data Collection, Foreign Countries, Greek
Peer reviewedSutti, Sandro – Australian Journal of Environmental Education, 1990
Presents an account of Italy's environmental research project carried out by five high schools, titled the Water Analysis Project. Examines the historical and socioeconomic context in which it grew and developed; its objectives, processes, professional and pedagogical results. Discusses student and teacher benefits from the project. (MCO)
Descriptors: Data Collection, Environmental Education, Foreign Countries, Models
Peer reviewedKoslowski, Barbara; Maqueda, Mariano – Merrill-Palmer Quarterly, 1993
In two studies, college students and sixth and ninth graders determined a hypothesis from data and were given opportunities to gather further data and test the hypothesis. Little evidence for students' confirmation bias, or tendency to avoid seeking and considering data that disconfirmed the hypothesis, was found. (BC)
Descriptors: Bias, College Students, Critical Thinking, Data Collection
Ramondetta, June – Learning, 1992
Elementary teachers can help students consider how much trash they create by analyzing lunchroom waste. Students research the problem, brainstorm lists of items thrown away, and monitor the cafeteria, counting items and collecting data. They enter information into a spreadsheet which the class examines to search for alternatives. (SM)
Descriptors: Computer Assisted Instruction, Creative Teaching, Data Collection, Dining Facilities
McCurry, Niki; McCurry, Alan – Computing Teacher, 1992
Discusses the dynamics and outcomes of an unplanned classroom activity that developed from the integration of the use of spreadsheets with the study of the characteristics of previously collected seashells, specifically their color, size, shape, texture, and any other obvious differences. (JJK)
Descriptors: Classroom Techniques, Computer Assisted Instruction, Data Collection, Discovery Learning
Rauch, Sidney J. – School Administrator, 1992
Five major steps are involved in evaluating school reading programs: clarifying evaluators' role, data collection, data analysis, data reporting, and followup. This article explains these steps and presents a checklist for guiding the measurement of motivation, clarification, application, and satisfaction components. (MLH)
Descriptors: Check Lists, Classroom Observation Techniques, Data Collection, Elementary Education
Peer reviewedCasto, Glendon; White, Karl R. – Early Education and Development, 1993
Describes a series of 16 longitudinal studies conducted by Utah State University on alternative early intervention programs for disabled children, focusing on the intensity of intervention, the age intervention begins, and parent involvement. Reviews factors that gave rise to the studies, research designs and procedures, and data interpretation.…
Descriptors: Children, Data Collection, Data Interpretation, Disabilities
Walleri, Dan; And Others – Community, Technical, and Junior College Journal, 1992
Describes three approaches to collecting data on student intent. Mt. Hood Community College (Oregon) solicits goals data during registration. Johnson County Community College (Kansas) collects intent information on the admissions application and then updates each term. St. Louis Community College (Missouri) asks about goals at admissions and…
Descriptors: College Applicants, College Outcomes Assessment, Community Colleges, Data Collection

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