Sentences with phrase «evaluation statistical research»

Well developed talent at analytics data evaluation statistical research and carefully but swiftly uncovering solutions

Not exact matches

According to Patrick McKnight, head of the Measurement, Research methodology, Evaluation, and Statistics group at George Mason University and a Statistical Advisory Board member of STATS.org:

In recent decades, developments in research methodology, administrative record keeping, and statistical software have significantly enhanced the capabilities of researchers to make well - informed evaluations of the causal impacts of educational interventions.

Although panels of scholars warned against using VAMS to make high - stakes decisions because of their statistical limitations (American Statistical Association, 2014; National Research Council & National Academy of Education, 2010), policymakers in many states and districts moved quickly to do just that, requiring that VAMS scores be used as a substantial component in teacher evstatistical limitations (American Statistical Association, 2014; National Research Council & National Academy of Education, 2010), policymakers in many states and districts moved quickly to do just that, requiring that VAMS scores be used as a substantial component in teacher evStatistical Association, 2014; National Research Council & National Academy of Education, 2010), policymakers in many states and districts moved quickly to do just that, requiring that VAMS scores be used as a substantial component in teacher evaluation...

The board also reviews and regularly evaluates the work of the Institute to ensure that its research, development, evaluation and statistical analyses are consistent with the standards set out in the Education Sciences Reform Act of 2002.

Her research focuses on improving statistical methods for educational program evaluations.

Conducting research and evaluations utilizing statistical and data analysis, surveys, panel discussions, focus groups, interviews, and literature reviews;

In research, new insights can be gained by linking large amounts of data and statistical evaluations.

During 2003 and 2004, four groundbreaking evaluation research studies undertaken by the Centre for Mathematics and Statistics at Napier University, Edinburgh, UK, showed clear statistical links between drivers» performance on the Virtual Risk Manager RoadRISK ® assessment and their reported collision outcomes.

Involves courses in Research, Business, Management, Policy Evaluation, Leadership, Human Resources, Statistical Analysis, Budgeting, Information Systems Management, Nonprofit Management, and many others involving the public sector management.

Goal - driven training professional with experience as project manager, consultant, and college - level instructor demonstrating expertise in training evaluation, research design and statistical analysis.

Core Competencies Training & Development • Psychologist • Research • Psycho - Evaluations • Communications • Social Sciences • Psychological Research • Data Analysis • Parametric & Non-Parametric Statistical Testing Functional Behavioral Assessments • Planning & Development • Resource Optimization • Counseling Program Development • Policies & Procedures

His research interests include education (data - driven instructional strategy and SEL), ecology (impact of neighborhood and external conditions), organizational behavior (operational evaluation and strategy implementation), demography (population trends and census), and research methods (statistical techniques, GIS, survey methodology).

Topics include (1) research design: elements of the research process, types of designs, program evaluation; (2) ethical considerations of research: informed consent, research with diverse and vulnerable populations, research with children, human subjects review; (3) basic measurement concepts: validity, reliability, norms, score interpretation; (4) basic statistical concepts: frequency distributions, central tendency, measures of variability, correlation.

Topics include (1) elements of the research process; (2) types of designs, program evaluation; (3) ethical considerations of research: informed consent, research with diverse and vulnerable populations, research with children, human subjects review; (4) basic measurement concepts: validity, reliability, norms, score interpretation; and (5) basic statistical concepts: frequency distributions, central tendency, measures of variability, correlation, normal curve, hypothesis testing, significance tests.

To advance our understanding of contextual processes such as received social support and unsupportive interactions, it appears beneficial to use a research design that repeatedly assesses daily occurring events (e.g., stress, social support) and outcomes (i.e., negative and positive mood) over time, coupled with a statistical approach that permits the evaluation of within - person relations.