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AlWahaibi, Ibrahim Said Humaid; AlHadabi, Dawood Abdul Malik Yahya AlHadabi; AlKharusi, Hussain Ali Talib – Cypriot Journal of Educational Sciences, 2020
The present study aimed at clarifying the various shortcomings of the Cohen's criteria for the interpretation of the values of the practical significance indicators. The hypothetical data were used for two experimental and control groups and calculating the paired-samples t-test. To clarify the inadequacy of Cohen's criteria in interpreting…
Descriptors: Statistical Analysis, Statistical Significance, Equations (Mathematics), Computation
Lenz, A. Stephen – Measurement and Evaluation in Counseling and Development, 2020
A guide for professional counselors and counseling researchers for calculating and interpreting Percent Improvement as an indicator of clinical significance is provided. Strategies for reporting findings are described and illustrated. Guidelines for contextualizing discussions of clinical significance within the boundaries of psychometric evidence…
Descriptors: Counseling, Research, Computation, Improvement
Feinberg, Richard A.; Jurich, Daniel P. – Educational Measurement: Issues and Practice, 2017
Recent research has proposed a criterion to evaluate the reportability of subscores. This criterion is a value-added ratio ("VAR"), where values greater than 1 suggest that the true subscore is better approximated by the observed subscore than by the total score. This research extends the existing literature by quantifying statistical…
Descriptors: Guidelines, Scores, Research Reports, Value Added Models
Maksimovic, Jelena; Dimic, Nevena – Research in Pedagogy, 2016
The subject of the research is focused on questioning teachers' attitudes in reference to using ICT competencies in the classroom, considering the gender, years of service and education, while the problem of the research concerns the question: What are the teachers' attitudes in reference to using ICT competencies in the classroom? Regarding to…
Descriptors: Information Technology, Teacher Competencies, Technology Integration, Teacher Attitudes
Dunn, Peter K. – Journal of Statistics Education, 2013
In this paper, we report a case study that illustrates the importance in interpreting the results from statistical tests, and shows the difference between practical importance and statistical significance. This case study presents three sets of data concerning the performance of two brands of batteries. The data are easy to describe and…
Descriptors: Equipment, Performance, Statistical Analysis, Statistical Significance
Ludlow, Larry; Klein, Kelsey – Journal of Statistics Education, 2014
Correlated predictors in regression models are a fact of life in applied social science research. The extent to which they are correlated will influence the estimates and statistics associated with the other variables they are modeled along with. These effects, for example, may include enhanced regression coefficients for the other variables--a…
Descriptors: Statistics, Correlation, Predictor Variables, Regression (Statistics)
Hoekstra, Rink; Johnson, Addie; Kiers, Henk A. L. – Educational and Psychological Measurement, 2012
The use of confidence intervals (CIs) as an addition or as an alternative to null hypothesis significance testing (NHST) has been promoted as a means to make researchers more aware of the uncertainty that is inherent in statistical inference. Little is known, however, about whether presenting results via CIs affects how readers judge the…
Descriptors: Computation, Statistical Analysis, Hypothesis Testing, Statistical Significance
Rule, Audrey C.; Meyer, Mary A. – Journal of Geoscience Education, 2009
Curriculum materials designed to provide students with practice interpreting plotted evidence of global climate change were developed using graphs from the scientific literature and tested with one hundred urban high school students from a high-poverty school in a major northern city in the US. The graph interpretation lessons followed a…
Descriptors: Urban Schools, Urban Youth, High School Students, Climate

Azevedo, Roger; Bernard, Robert – British Journal of Educational Technology, 1995
A meta-analysis determined the importance of feedback in computer-based learning; 59 studies were collected and evaluated for inclusion in the meta-analysis in terms of design, sample size, and availability of appropriate statistics. Achievement outcomes were found to be greater for the feedback group than the control group. (AEF)
Descriptors: Achievement Rating, Computer Assisted Instruction, Data Interpretation, Educational Research