Journal ArticleDOI
The development and validation of the Survey of Attitudes toward Statistics
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TLDR
The Survey of Attitudes Toward Statistics (SATS) as mentioned in this paper was designed for use in both research and instruction, and a panel of instructors and introductory statistics students identified by consensus four facets of attitudes toward statistics: affect-positive and negative feelings concerning statistics; cognitive competence-attitudes about intellectual knowledge and skills when applied to statistics; value-attitude about the usefulness, relevance, and worth of statistics.Abstract:
The Survey of Attitudes Toward Statistics (SATS) was designed for use in both research and instruction. A panel of instructors and introductory statistics students identified by consensus four facets of attitudes toward statistics: (a) Affect-positive and negative feelings concerning statistics; (b) Cognitive Competence-attitudes about intellectual knowledge and skills when applied to statistics; (c) Value-attitudes about the usefulness, relevance, and worth of statistics; and (d) Difficulty-attitudes about the difficulty of statistics as a subject. This structure was validated for a sample of undergraduate students using confirmatory factor analysis. Additional validity evidence was obtained through the correlation of the SATS with Wise's Attitudes Toward Statistics scale, which showed significant, positive relationships between the two instruments.read more
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An Introduction to Recursive Partitioning: Rationale, Application and Characteristics of Classification and Regression Trees, Bagging and Random Forests
TL;DR: The aim of this work is to introduce the principles of the standard recursive partitioning methods as well as recent methodological improvements, to illustrate their usage for low and high-dimensional data exploration, but also to point out limitations of the methods and potential pitfalls in their practical application.
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The Effects of Item Parceling on Goodness-of-Fit and Parameter Estimate Bias in Structural Equation Modeling
TL;DR: In this paper, the effects of the practice of item parceling were investigated and it was shown that the use of item parcels resulted in better fitting solutions, as measured by the root mean squared error of approximation (RMSEA), comparative fit index (CFI), and chi-square test, when items had a unidimensional structure.
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Item Parceling Strategies in SEM: Investigating the Subtle Effects of Unmodeled Secondary Constructs:
TL;DR: In this paper, the authors proposed that combining items that shared an unmodeled secondary influence into the same parcel (shared uniqueness strategy) would enhance the accuracy of parameter estimates, using simulated data generated from a known model.
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Analyzing data from experimental studies: A latent variable structural equation modeling approach.
TL;DR: In this article, the use of structural equation modeling (SEM) procedures with latent variables to analyze data from experimental studies is discussed. But the authors do not discuss the issues that arise in applying SEM procedures, such as sample size and distributional characteristics of the measures.
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Statistics Anxiety: Nature, etiology, antecedents, effects, and treatments--a comprehensive review of the literature
TL;DR: A comprehensive summary of the literature on statistics anxiety can be found in this article, where the nature, etiology, and prevalence of statistics anxiety are described, as well as antecedents (i.e. dispositional, situational and environmental) of statistic anxiety and their effects on statistics achievement are documented.
References
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Book
Structural Equations with Latent Variables
TL;DR: The General Model, Part I: Latent Variable and Measurement Models Combined, Part II: Extensions, Part III: Extensions and Part IV: Confirmatory Factor Analysis as discussed by the authors.
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Structural Equations with Latent Variables.
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Goodness-of-fit indexes in confirmatory factor analysis : The effect of sample size
TL;DR: In this paper, the influence of sample size on different goodness-of-fit indices used in confirmatory factor analysis (CFA) was examined and the results are consistent with the observation that the amount of random, unexplained variance varies inversely with sample size.
Journal ArticleDOI
Statistics and mathematics anxiety in social science students: some interesting parallels.
TL;DR: Data lend support to the hypothesis that aversive prior experiences with mathematics, prior poor achievement in maths, and a low sense of maths self-efficacy are meaningful antecedent correlates of statistics anxiety and thus lend some credence to the "deficit" interpretation of statistics Anxiety.
Journal ArticleDOI
The development and validation of a scale measuring attitudes toward statistics
TL;DR: In this paper, the authors describe the development and validation of a new instrument entitled Attitudes Toward Statistics (ATS) to be used in the measurement of attitude change in introductory statistics students.
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