1,720,976 research outputs found
Statistics in language research: Analysis of variance. Tony Rietveld and Roeland van Hout (2005)
No full textAnalyzing linguistic data: A practical introduction to statistics using. R. Harald Baayen (2008)
No full textMoving Beyond the Bar Plot and the Line Graph to Create Informative and Attractive Graphics1
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Our statistical intuitions may be misleading us: Why we need robust statistics
No full textMost academics' intuitions about statistics follow those of naive laypeople – that is, we often think that a sample should reflect the population characteristics more closely than it does, and expect less variability in samples than is truly found in them. These intuitions may prevent us from understanding why modern developments in statistics are needed. Another intuition most researchers hold is that it is better to be conservative when performing statistics, and this may involve adjusting p-values for multiple tests, using more conservative post hoc tests, or setting an alpha value lower than .05 when possible. However, the more we try to control against making an error in being overeager to find differences, the stronger the probability that we will make an error in not finding differences that actually exist. These two forces need to be counterbalanced, and this involves increasing the power of our tests. Robust statistics can increase the power of statistical tests to find real differences. I discuss the need for robust techniques to avoid reliance on classical assumptions about the data. Examples of robust analyses with t-tests, correlation, and one-way ANOVA are shown.</jats:p
Going Beyond Counting First Authors in Author Co-citation Analysis
Get PDFThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Vocabulary instruction and learning: A commentary on four studies
No full textFour papers were presented by Jenifer Larson-Hall, Noriko Matsuda, Yu Kanazawa, and Phil Bennett. As the discussant, it is my pleasure to comment on these four interesting studies concerning language attrition, the effect of a speaker’s voice on the speed of word recognition, affect and lexical acquisition, and the use of metaphor in teaching academic vocabulary. A unique aspect of these papers is their focus on areas in the fields that have received little attention in the past. This feature makes the studies quite valuable, as they illuminate aspects of lexical acquisition that are yet to be understood in any detail
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