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Preya Bhattacharya – International Journal of Social Research Methodology, 2023
In the last few years, Qualitative Comparative Analysis (QCA) has become one of the most important data analysis methods in comparative research. According to the guidelines of this method, there are certain steps that a researcher needs to follow, before causally analyzing the data for necessary and sufficient conditions. One of these steps is…
Descriptors: Evaluation Methods, Comparative Analysis, Social Science Research, Computer Software
Ponce-Renova, Hector F. – Journal of New Approaches in Educational Research, 2022
This paper's objective was to teach the Equivalence Testing applied to Educational Research to emphasize recommendations and to increase quality of research. Equivalence Testing is a technique used to compare effect sizes or means of two different studies to ascertain if they would be statistically equivalent. For making accessible Equivalence…
Descriptors: Educational Research, Effect Size, Statistical Analysis, Intervals
Robertson, Clare; Ramsay, Craig; Gurung, Tara; Mowatt, Graham; Pickard, Robert; Sharma, Pawana – Research Synthesis Methods, 2014
We describe our experience of using a modified version of the Cochrane risk of bias (RoB) tool for randomised and non-randomised comparative studies. Objectives: (1) To assess time to complete RoB assessment; (2) To assess inter-rater agreement; and (3) To explore the association between RoB and treatment effect size. Methods: Cochrane risk of…
Descriptors: Risk, Randomized Controlled Trials, Research Design, Comparative Analysis
Yaw, Jared; Skinner, Christopher H.; Delisle, Jean; Skinner, Amy L.; Maurer, Kristin; Cihak, David; Wilhoit, Brian; Booher, Joshua – Journal of Applied Behavior Analysis, 2014
Working with elementary students with disabilities, we used alternating treatment designs to evaluate and compare the effects of 2 computer-based flash card sight-word reading interventions, 1 with 1-s response intervals and another with 5-s response intervals. In Study 1, we held instructional time constant, applying both interventions for 3?min.…
Descriptors: Sight Method, Teaching Methods, Disabilities, Elementary School Students
Gelman, Andrew; Hill, Jennifer; Yajima, Masanao – Journal of Research on Educational Effectiveness, 2012
Applied researchers often find themselves making statistical inferences in settings that would seem to require multiple comparisons adjustments. We challenge the Type I error paradigm that underlies these corrections. Moreover we posit that the problem of multiple comparisons can disappear entirely when viewed from a hierarchical Bayesian…
Descriptors: Intervals, Comparative Analysis, Inferences, Error Patterns
Padilla, Miguel A.; Divers, Jasmin; Newton, Matthew – Applied Psychological Measurement, 2012
Three different bootstrap methods for estimating confidence intervals (CIs) for coefficient alpha were investigated. In addition, the bootstrap methods were compared with the most promising coefficient alpha CI estimation methods reported in the literature. The CI methods were assessed through a Monte Carlo simulation utilizing conditions…
Descriptors: Intervals, Monte Carlo Methods, Computation, Sampling
Bird, Kevin D. – Psychological Methods, 2011
Any set of confidence interval inferences on J - 1 linearly independent contrasts on J means, such as the two comparisons [mu][subscript 1] - [mu][subscript 2] and [mu][subscript 2] - [mu][subscript 3] on 3 means, provides a basis for the deduction of interval inferences on all other contrasts, such as the redundant comparison [mu][subscript 1] -…
Descriptors: Intervals, Statistical Analysis, Inferences, Comparative Analysis
Morey, Richard D.; Rouder, Jeffrey N. – Psychological Methods, 2011
Psychological theories are statements of constraint. The role of hypothesis testing in psychology is to test whether specific theoretical constraints hold in data. Bayesian statistics is well suited to the task of finding supporting evidence for constraint, because it allows for comparing evidence for 2 hypotheses against each another. One issue…
Descriptors: Evidence, Intervals, Testing, Hypothesis Testing
Rice, Mabel L.; Smolik, Filip; Perpich, Denise; Thompson, Travis; Rytting, Nathan; Blossom, Megan – Journal of Speech, Language, and Hearing Research, 2010
Purpose: The mean length of children's utterances is a valuable estimate of their early language acquisition. The available normative data lack documentation of language and nonverbal intelligence levels of the samples. This study reports age-referenced mean length of utterance (MLU) data from children with specific language impairment (SLI) and…
Descriptors: Control Groups, Intelligence, Intervals, Morphemes
Saltuklaroglu, Tim; Kalinowski, Joseph; Robbins, Mary; Crawcour, Stephen; Bowers, Andrew – International Journal of Language & Communication Disorders, 2009
Background: Stuttering is prone to strike during speech initiation more so than at any other point in an utterance. The use of auditory feedback (AAF) has been found to produce robust decreases in the stuttering frequency by creating an electronic rendition of choral speech (i.e., speaking in unison). However, AAF requires users to self-initiate…
Descriptors: Feedback (Response), Intervals, Syllables, Stuttering
Davis, William W.; Graubard, Barry I.; Hartman, Anne M.; Stillman, Frances A. – Evaluation Review, 2003
In this article, the authors discuss program evaluation of intervention studies when the outcome of interest is collected routinely at equally spaced intervals of time. They illustrate concepts using data from the American Stop Smoking Intervention Study, where the outcome is state per capita tobacco consumption. States differ widely in mean…
Descriptors: Intervention, Intervals, Program Evaluation, Smoking
van Raan, Anthony F. J. – Measurement: Interdisciplinary Research and Perspectives, 2005
This article presents a rejoinder on the commentaries regarding the author's focus article titled, "Measurement of Central Aspects of Scientific Research: Performance, Interdisciplinarity, Structure," structuring comments around a number of main topics discussed by the authors of the commentaries. The author presents technical issues…
Descriptors: Scientific Research, Intervals, Statistical Significance, Citation Analysis