scholarly journals Diferencias entre coeficientes alfa, con muestras y partes pequeñas; adenda

2021 ◽  
Author(s):  
Cesar Merino-Soto
Keyword(s):  
Clinical Practice ◽  
Measurement Error ◽  
Computer Program ◽  
Hypothesis Testing ◽  
Null Hypothesis ◽  
Small Samples ◽  
Testing Approach ◽  
The Difference ◽  
Hypothesis Testing Approach ◽  
Reliability Coefficients

This paper presenting a computer program written in VB 6.0, to calculate the difference between internal consistency coefficients (Cronbach’s alpha) obtained in independent small samples and with instruments have a small number of parts or items. The comparison of reliability coefficients allow to identify possible differences in amount of measurement error in instruments; this methodology use the hypothesis testing approach for test the null hypothesis of equally reliability coefficients. This situation is tending to be common in clinical practice between psychologists or allied career, and even in the construction phases of instruments of measurement, for example in pilot samples. The proposed technique is from the work of Feldt and Kim (2006), and offers a viable and interesting methodological proposal that expands the analysis of the reliability of instruments of psychological and educational measurement.

scholarly journals Diferencias entre coeficientes alfa de Cronbach, con muestras y partes pequeñas: Un programa VB

2016 ◽  
Vol 32 (2) ◽  
pp. 587 ◽  
Author(s):  
César Merino-Soto
Keyword(s):  
Clinical Practice ◽  
Measurement Error ◽  
Computer Program ◽  
Hypothesis Testing ◽  
Null Hypothesis ◽  
Small Samples ◽  
Testing Approach ◽  
The Difference ◽  
Hypothesis Testing Approach ◽  
Reliability Coefficients

<p>This paper presenting a computer program written in VB 6.0, to calculate the difference between internal consistency coefficients (Cronbach’s alpha) obtained in independent small samples and with instruments have a small number of parts or items. The comparison of reliability coefficients allow to identify possible differences in amount of measurement error in instruments; this methodology use the hypothesis testing approach for test the null hypothesis of equally reliability coefficients. This situation is tending to be common in clinical practice between psychologists or allied career, and even in the construction phases of instruments of measurement, for example in pilot samples. The proposed technique is from the work of Feldt and Kim (2006), and offers a viable and interesting methodological proposal that expands the analysis of the reliability of instruments of psychological and educational measurement.</p>

scholarly journals An introductory tutorial on Bayesian inference using a simple pedagogical tool

2017 ◽  
Author(s):  
Guillermo CAMPITELLI
Keyword(s):  
Probability Theory ◽  
Bayesian Inference ◽  
Hypothesis Testing ◽  
Null Hypothesis ◽  
Traditional Approach ◽  
Postgraduate Students ◽  
Data Table ◽  
Null Hypothesis Testing ◽  
Testing Approach ◽  
Hypothesis Testing Approach

This tutorial on Bayesian inference targets psychological researchers who are trained in the null hypothesis testing approach and use of SPSS software. There a number ofexcellent quality tutorials on Bayesian inference, but their problem is that, they assume mathematical knowledge that most psychological researchers do not possess. Thistutorial starts from the idea that Bayesian inference is not more difficult than the traditional approach, but before being introduced to probability theory notation is necessary for the newcomer to understand simple probability principles, which could be explained without mathematical formulas or probability notation. For this purpose in this tutorial I use a simple tool-the parameter-data table-to explain how probability theory can easily be used to make inferences in research. Then I compare the Bayesian and the null hypothesis testing approach using the same tool. Only after having introduced these principles I show the formulas and notations and explain how they relate to the parameter-data table. It is to be expected that this tutorial will increase the use of Bayesian inference by psychological researchers. Moreover, Bayesian researchers may use this tutorial to teach Bayesian inference to undergraduate or postgraduate students.

scholarly journals Possibility Measure of Accepting Statistical Hypothesis

Mathematics ◽  
2020 ◽  
Vol 8 (4) ◽  
pp. 551
Author(s):  
Jung-Lin Hung ◽  
Cheng-Che Chen ◽  
Chun-Mei Lai
Keyword(s):  
Hypothesis Testing ◽  
Null Hypothesis ◽  
Alternative Hypothesis ◽  
Statistical Testing ◽  
Statistical Hypothesis ◽  
Statistical Hypothesis Testing ◽  
Test Statistic ◽  
Possibility Measure ◽  
Testing Approach ◽  
Hypothesis Testing Approach

Taking advantage of the possibility of fuzzy test statistic falling in the rejection region, a statistical hypothesis testing approach for fuzzy data is proposed in this study. In contrast to classical statistical testing, which yields a binary decision to reject or to accept a null hypothesis, the proposed approach is to determine the possibility of accepting a null hypothesis (or alternative hypothesis). When data are crisp, the proposed approach reduces to the classical hypothesis testing approach.

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