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Stuger, Jerry – Journal of Autism and Developmental Disorders, 2017
In this paper the hypothesis is presented that Franz Kafka was a person with autism. This is done by analyzing and discussing his biography, letters, diaries and major works. Kafka's autism is an integral diagnosis which encompasses both his personal life and his work. This interpretation is contrary to other interpretations from the past which in…
Descriptors: Autism, Hypothesis Testing, Data Interpretation, Pervasive Developmental Disorders
Wilcox, Rand R.; Serang, Sarfaraz – Educational and Psychological Measurement, 2017
The article provides perspectives on p values, null hypothesis testing, and alternative techniques in light of modern robust statistical methods. Null hypothesis testing and "p" values can provide useful information provided they are interpreted in a sound manner, which includes taking into account insights and advances that have…
Descriptors: Hypothesis Testing, Bayesian Statistics, Computation, Effect Size
García-Pérez, Miguel A. – Educational and Psychological Measurement, 2017
Null hypothesis significance testing (NHST) has been the subject of debate for decades and alternative approaches to data analysis have been proposed. This article addresses this debate from the perspective of scientific inquiry and inference. Inference is an inverse problem and application of statistical methods cannot reveal whether effects…
Descriptors: Hypothesis Testing, Statistical Inference, Effect Size, Bayesian Statistics

Griffin, Dale; Tversky, Amos – Cognitive Psychology, 1992
Tests the hypotheses that overconfidence occurs when strength is high and weight is low and that underconfidence occurs when weight is high and strength is low in 4 experiments with 153 students. Discusses weighing evidence, overconfidence/underconfidence in intuitive judgments, and item difficulty's effect on overconfidence. Relates the…
Descriptors: Data Interpretation, Difficulty Level, Hypothesis Testing, Reliability

Yancey, Bernard D. – New Directions for Institutional Research, 1988
The ultimate goal of the institutional researcher is not always to test a research hypothesis, but more often simply to find an appropriate model to gain an understanding of the underlying characteristics and interrelationships of the data. Exploratory data analysis provides a means of accomplishing this. (Author)
Descriptors: Data Interpretation, Higher Education, Hypothesis Testing, Institutional Research

Peshkin, Alan – Educational Researcher, 1993
Dismissing research that is not theory driven, hypothesis testing, or generalization producing does injustice to the variety of contributions that qualitative research can make. Studies conducted through qualitative approaches are reviewed to summarize the desirable outcomes that can result. No research model has a monopoly on quality. (SLD)
Descriptors: Data Interpretation, Educational Research, Evaluation Methods, Generalization
Albanese, Mark A. – 1985
This study reexamines results reported by Angoff and Schrader regarding formula directions and rights directions for standardized tests. In that study, it was concluded that the two scoring directions were essentially equivalent. In this study, methodological concerns are discussed and additional data analyses undertaken. Among various…
Descriptors: College Entrance Examinations, Data Interpretation, Fatigue (Biology), Guessing (Tests)