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Swan, Daniel M.; Pustejovsky, James E. – Grantee Submission, 2018
Single-case designs are a class of repeated measures experiments used to evaluate the effects of interventions for small or specialized populations, such as individuals with low-incidence disabilities. There has been growing interest in systematic reviews and syntheses of evidence from single-case designs, but there remains a need to further…
Descriptors: Research Design, Intervention, Effect Size, Statistical Analysis
The Effect of Data Points per x- to y-Axis Ratio on Visual Analysts Evaluation of Single-Case Graphs
Radley, Keith C.; Dart, Evan H.; Wright, Sarah J. – School Psychology Quarterly, 2018
Research based on single-case designs (SCD) are frequently utilized in educational settings to evaluate the effect of an intervention on student behavior. Visual analysis is the primary method of evaluation of SCD, despite research noting concerns regarding reliability of the procedure. Recent research suggests that characteristics of the graphic…
Descriptors: Graphs, Evaluation Methods, Data, Intervention
Rhemtulla, Mijke; Hancock, Gregory R. – Educational Psychologist, 2016
Although missing data are often viewed as a challenge for applied researchers, in fact missing data can be highly beneficial. Specifically, when the amount of missing data on specific variables is carefully controlled, a balance can be struck between statistical power and research costs. This article presents the issue of planned missing data by…
Descriptors: Educational Psychology, Psychological Studies, Data, Statistical Analysis
Hembry, Ian; Bunuan, Rommel; Beretvas, S. Natasha; Ferron, John M.; Van den Noortgate, Wim – Journal of Experimental Education, 2015
A multilevel logistic model for estimating a nonlinear trajectory in a multiple-baseline design is introduced. The model is applied to data from a real multiple-baseline design study to demonstrate interpretation of relevant parameters. A simple change-in-levels (?"Levels") model and a model involving a quadratic function…
Descriptors: Computation, Research Design, Data, Intervention
Ahmadi, Mohammad; Dileepan, Parthasarati; Wheatley, Kathleen K. – Journal of Education for Business, 2016
This is the decade of data analytics and big data, but not everyone agrees with the definition of big data. Some researchers see it as the future of data analysis, while others consider it as hype and foresee its demise in the near future. No matter how it is defined, big data for the time being is having its glory moment. The most important…
Descriptors: Strategic Planning, Data, Data Analysis, Statistical Analysis
Csibra, Gergely; Hernik, Mikolaj; Mascaro, Olivier; Tatone, Denis; Lengyel, Máté – Developmental Psychology, 2016
Looking times (LTs) are frequently measured in empirical research on infant cognition. We analyzed the statistical distribution of LTs across participants to develop recommendations for their treatment in infancy research. Our analyses focused on a common within-subject experimental design, in which longer looking to novel or unexpected stimuli is…
Descriptors: Eye Movements, Time, Statistical Distributions, Infants
Sullivan, Kristynn J.; Shadish, William R. – Society for Research on Educational Effectiveness, 2013
Single case designs (SCDs) are short time series that assess intervention effects by measuring units repeatedly over time both in the presence and absence of treatment. For a variety of reasons, interest in the statistical analysis and meta-analysis of these designs has been growing in recent years. This paper proposes modeling SCD data with…
Descriptors: Models, Longitudinal Studies, Data, Research Design
Hogue, Candace M.; Pornprasertmanit, Sunthud; Fry, Mary D.; Rhemtulla, Mijke; Little, Todd D. – Measurement in Physical Education and Exercise Science, 2013
Salivary cortisol is often used as an index of physiological and psychological stress in exercise science and psychoneuroendocrine research. A primary concern when designing research studies examining cortisol stems from the high cost of analysis. Planned missing data designs involve intentionally omitting a random subset of observations from data…
Descriptors: Research Design, Statistical Analysis, Costs, Data
Pustejovsky, James E. – Society for Research on Educational Effectiveness, 2011
Recent guidance on the treatment of missing data in experiments advocates the use of sensitivity analysis and worst-case bounds analysis for addressing non-ignorable missing data mechanisms; moreover, plans for the analysis of missing data should be specified prior to data collection (Puma et al., 2009). While these authors recommend only that…
Descriptors: Statistical Analysis, Data, Sample Size, Response Rates (Questionnaires)
Schram, Asta B. – International Journal of Science Education, 2014
In recent years, more and more researchers in science education have been turning to the practice of combining qualitative and quantitative methods in the same study. This approach of using mixed methods creates possibilities to study the various issues that science educators encounter in more depth. In this content analysis, I evaluated 18…
Descriptors: Mixed Methods Research, Content Analysis, Science Education, Literature Reviews
Duffy, Sean – Journal of Statistics Education, 2010
This paper describes three spreadsheet exercises demonstrating the nature and frequency of type I errors using random number generation. The exercises are designed specifically to address issues related to testing multiple relations using correlation (Demonstration I), t tests varying in sample size (Demonstration II) and multiple comparisons…
Descriptors: Spreadsheets, Class Activities, Statistics, Inferences
Singh, Anand – ProQuest LLC, 2009
manaOptimizing risk to information to protect the enterprise as well as to satisfy government and industry mandates is a core function of most information security departments. Risk management is the discipline that is focused on assessing, mitigating, monitoring and optimizing risks to information. Risk assessments and analyses are critical…
Descriptors: Risk Management, Risk, Engineering, Vendors
Hensley, Thomas R.; Dean, Karen – Teaching Political Science, 1988
Points out inadequacies in the numeric data set that accompanied the Supplementary Empirical Teaching Units in Political Science (SETUPS) monograph on the U.S. Supreme Court. Suggests that the data not be used for research purposes but notes they may be utilized as a teaching tool in discussing quantitative methods of analysis relative to Supreme…
Descriptors: Classroom Techniques, Data, Higher Education, Instruction