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Ioana-Elena Oana; Carsten Q. Schneider – Sociological Methods & Research, 2024
The robustness of qualitative comparative analysis (QCA) results features high on the agenda of methodologists and practitioners. This article aims at advancing this debate on several fronts. First, in line with the extant literature, we take a comprehensive view on robustness arguing that decisions on calibration, consistency, and frequency…
Descriptors: Robustness (Statistics), Qualitative Research, Comparative Analysis, Decision Making
Center for IDEA Early Childhood Data Systems (DaSy), 2019
The long-term goal of the State Systemic Improvement Plan (SSIP) and other federal and state early intervention and early childhood education initiatives is improved child and family outcomes. States play a critical role in supporting practitioners in the use of evidence-based practices to improve child and family outcomes. When practitioners…
Descriptors: Evidence Based Practice, Early Intervention, Early Childhood Education, Data Collection
Xu, Lei; Richman, Alice R. – International Journal of Special Education, 2015
Making decisions to undergo Autism Spectrum Disorders (ASD) genetic testing can be challenging. It is important to understand how the perceptions of affected individuals might influence testing decision-making. Although evidence has shown that psychological factors are important in predicting testing decisions, affect-type variables have been…
Descriptors: Psychological Patterns, Parents, Children, Genetics
Grigsby, Bettye; Vesey, Winona – Administrative Issues Journal: Education, Practice, and Research, 2011
The role of the administrator has evolved over the past 30 years from manager to instructional leader. As instructional leaders, administrators are now responsible for student achievement on high-stakes state-mandated assessments. Therefore, it is imperative principal preparation programs provide the necessary training instructional leaders need…
Descriptors: Principals, Administrator Education, Evaluation, Administrator Qualifications
Velez, Olivia – ProQuest LLC, 2011
Midwives in Ghana provide the majority of rural primary and maternal healthcare services, but have limited access to data for decision making and knowledge work. Few mobile health (mHealth) applications have been designed for midwives. The study purpose was to design and test an mHealth application (mClinic) that can improve data access and reduce…
Descriptors: Family Planning, Participant Observation, Self Efficacy, Testing
Kelly, Kimberly M.; Andrews, James E; Case, Donald O.; Allard, Suzanne L.; Johnson, J. David – Journal of Rural Health, 2007
Context: Research is limited regarding the potential of genetic testing for cancer risk in rural Appalachia. Purpose: This study examined perceptions of genetic testing in a population sample of Kentuckians, with a focus on Appalachian and rural differences. The goals were to examine cultural and psychosocial factors that may predict intentions to…
Descriptors: Decision Making, Testing, Information Seeking, Genealogy
Squires, David; Canney, George F.; Trevisan, Michael S. – Journal of Teacher Education, 2009
This article examines data from nine statewide administrations of the Idaho Comprehensive Literacy Assessment (ICLA) over three-years. The ICLA measures pre-service teachers' knowledge of research-based content and pedagogy related to reading instruction and assessment. The purpose of this article was first to examine pre-service candidates'…
Descriptors: Reading Strategies, Teacher Education, Literacy Education, Decision Making
Salpeter, Judy – Technology & Learning, 2004
For some districts, the current obsession with data grows out of the need to comply with No Child Left Behind and additional accountability-related mandates. For others, it dates way back before the phrase "data-driven decision making" rolled so frequently off the tongues of educators. In either case, there is no denying that an integral…
Descriptors: Testing, Test Use, Evaluation Utilization, Data Analysis
Grosswald, Jules – 1975
Much of the intrinsic wealth of planning and instructional information available from achievement testing programs goes untapped in typical reporting procedures. Large-scale programs reporting only pupil scores and the results of aggregating those scores stop far short of the purposes intended and fail to realize the potential of such information.…
Descriptors: Achievement Tests, Data Analysis, Decision Making, Evaluation Methods
Crooks, Lois A.; Mahoney, Margaret H. – 1971
This report is a description of the instrumentation, methodology, and sample obtained for the final phase of the study concerned with the Occupational Inventory Management Specialist. Inventory managers were asked to keep a Daily Activity Log for five days and to record the range of activities and interaction with others in the process of…
Descriptors: Administration, Aptitude Tests, Blacks, Data Analysis
Thompson, Bruce – 1994
Too few researchers understand what statistical significance testing does and does not do, and consequently their results are misinterpreted. This Digest explains the concept of statistical significance testing and discusses the meaning of probabilities, the concept of statistical significance, arguments against significance testing,…
Descriptors: Data Analysis, Data Interpretation, Decision Making, Effect Size
Schriber, Peter E. – 1971
Comprehensive Achievement Monitoring (CAM) is a systematic procedure of constructing and administering longitudinal, criterion-referenced tests. CAM has advantages over typical classroom testing of having well-organized tests, providing course evaluation through pretesting, posttesting, and retention measurement; producing data for continuous…
Descriptors: Academic Achievement, Behavioral Objectives, Classroom Research, Comparative Analysis
Horst, Donald P.; And Others – 1974
Directors of educational projects need to be aware of the consequences their decisions may have for evaluation and appreciate the need for working closely with their evaluators from the earliest planning stage. Attempting to address the needs of project directors and evaluators, this guidebook deals with one central aspect of project…
Descriptors: Achievement Gains, Analysis of Covariance, Cognitive Measurement, Data Analysis
Horst, Donald P.; And Others – 1975
Measuring cognitive achievement gains in project evaluation is dealt with. This guide provides those concerned with project evaluation with the basic tools for conducting technically sound, interpretable evaluation studies. Exotic designs are avoided and five basic models which appear feasible to implement in real-world settings are focused on.…
Descriptors: Academic Achievement, Achievement Gains, Cognitive Development, Data Analysis