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Rutherford, Marion; Burns, Morag; Gray, Duncan; Bremner, Lynne; Clegg, Sarah; Russell, Lucy; Smith, Charlie; O'Hare, Anne – Journal of Autism and Developmental Disorders, 2018
The 'autism diagnosis crisis' and long waiting times for assessment are as yet unresolved, leading to undue stress and limiting access to effective support. There is therefore a significant need for evidence to support practitioners in the development of efficient services, delivering acceptable waiting times and effectively meeting guideline…
Descriptors: Autism, Pervasive Developmental Disorders, Clinical Diagnosis, Efficiency
Tracy, Allison; Charmaraman, Linda; Ceder, Ineke; Richer, Amanda; Surr, Wendy – Afterschool Matters, 2016
Out-of-school time (OST) youth programs are inherently difficult to assess. They are often very dynamic: Many youth interact with one another and with staff members in various physical environments. Despite the challenge, measuring quality is critical to help program directors and policy makers identify where to improve and how to support those…
Descriptors: After School Programs, Program Evaluation, Educational Quality, Youth Programs
Mallory, W. J. – Training and Development Journal, 1982
This article explains a performance-oriented approach to outlining technical training needs. The performance improvement cycle is discussed and the three main activities in that cycle are described. They include need detection, task identification, and collection of task performance data. (CT)
Descriptors: Data Collection, Needs Assessment, Performance Factors, Task Analysis
Bragg, Debra D. – Performance and Instruction, 1995
Discusses a collaborative approach to evaluating professional training methods. Describes 4 objectives and 10 steps for "evaluating evaluation" that include identifying the training and evaluation goal, forming an evaluation team, designing the evaluation, developing the methods, collecting data, interpreting findings, and reporting results. (AEF)
Descriptors: Cooperation, Data Collection, Data Interpretation, Evaluation Criteria
Peer reviewedWilburn, Kathleen M.; Wilburn, H. Ralph – Performance Improvement, 1998
Presents nine strategies for gathering information on training effectiveness via: telephone, e-mail, mail-in survey, postcards, online bulletin board, a visit to the human resources department, the strategic plan, focus group, and end-of-course evaluations. (AEF)
Descriptors: Data Analysis, Data Collection, Evaluation Methods, Instructional Effectiveness
Alden, Jay – Training and Development Journal, 1978
Suggests that successful evaluation projects for training programs focus on management decisions. Provides a checklist of concerns that deal with the effectiveness, efficiency, and relevance of the program. Discusses the selection of the data level and decision-making criteria. (CSS)
Descriptors: Administrator Education, Data Collection, Decision Making, Evaluation Criteria
Ceriello, Vincent R. – Personnel Journal, 1982
Presents a systematic and disciplined approach to planning for the development and implementation of an information system which will collect, store, maintain, and report human resources data. Discusses guidelines, priorities, training requirements, security, auditing, interface with payroll, and personnel reporting. (CT)
Descriptors: Data Collection, Databases, Guidelines, Human Resources
Peer reviewedDell, Jay; Fox, John; Malcolm, Ralph – Performance Improvement, 1998
The United States Coast Guard uses training situation analysis (TSA) to develop quantified training requirements, collect training and non-training performance data, and overcome turf issues to focus on performance outcomes. Presents the 1947 MLB (Motor Lifeboat Project) as a case study. Outlines 11 steps in the TSA needs analysis for teams and…
Descriptors: Behavioral Objectives, Case Studies, Data Collection, Military Training
Killion, Joellen; Hirsh, Stephanie – American School Board Journal, 2001
In a high-quality professional development system, goals are student-centered, focused on learning, and incorporated into teachers' daily routine. School boards can foster this model by ensuring that professional development is aligned with student learning needs and district improvement plans and by providing sufficient resources. (MLH)
Descriptors: Adult Learning, Boards of Education, Data Collection, Definitions

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