Foundations of behavioral statistics : an insight-based approach
By B. Thompson. 2006
467 citations recorded by the source corpus.
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
- I. Minchev
- C. Chiappini
- F. Oswald
- Luke Plonsky
- M. Martig
- Friedrich Anders
- Matthias Steinmetz
- R. Norouzian
Citations in the corpus
- Yule-Simpson’s paradox in Galactic Archaeology (2019, background): “This phenomenon is known as the Simpson’s, or YuleSimpson’s, paradox (hereafter, YSP), in classical statistics (e.g., Yule 1902; Simpson 1951; Smith & Goltz 2012; Thompson 2006).”
- Examining Teacher–Child Relationships and Achievement as Part of an Ecological Model of Development (2007, background): “Furthermore, a variable that is not correlated with the outcome may have a large β weight, as it may contribute to the predictive power of the model by acting as a suppressor (Thompson, 2006).”
- Language learner beliefs and study abroad: A study on English as a lingua franca (ELF) (2014, methodology): “Although the Shapiro–Wilk test indicated a non-normal distribution for pre- and post-beliefs, the skewness and kurtosis values for these two data sets were between 1 and þ1, evidencing a unimodal and symmetrical distribution, thus enabling parametric tests to be run (Thompson, 2008).”
- Contrast Coding in Multiple Regression Analysis: Strengths, Weaknesses, and Utility of Popular Coding Structures (2021, background): “Trend contrasts, also known as polynomial contrasts, are defined by Thompson (2006) as those which “do not each test whether two means are equal but instead test whether the means across the levels form a certain pattern (e.g., a line, a parabola)” (p. 375).”
- Replication, statistical consistency, and publication bias. (2013, background): “Thus, many empirical investigations should focus on describing e↵ect sizes to a desired precision (e.g., Meehl, 1978; Kline, 2004; Thompson, 2006; Cumming, 2012).”
- Understanding the Results of Multiple Linear Regression (2013, background): “This divergence likely stems from a disagreement in the signs of X2’s beta and validity coefficient, which is suggestive of a suppression effect (cf. Thompson, 2006).”
- Toxoplasmosis – A Global Threat. Correlation of Latent Toxoplasmosis with Specific Disease Burden in a Set of 88 Countries (2014, unknown): “[329] pp.”
- Matrix Summaries Improve Research Reports: Secondary Analyses Using Published Literature (2009, methodology): “And, as Thompson (2006a) explained in more detail, for this analysis: R2Y ×X1,X2 = uX1 + uX2 + CX1,X2, r2Y × X1 = uX1 + CX1,X2, and r2Y × X2 = uX2 + CX1,X2.”
- Some Common Mistakes In IR Evaluation, And How They Can Be Avoided (2018, methodology): “For comparing two arithmetic means µ 1 and µ 2 , the effect size ∆ is usually defined as 6 [21, ch. 7, p. 187ff] Here σ denotes the standard deviation based on either or both populations.”
- Balancing communication and grammar in beginning-level foreign language classrooms: A study of guided planning and relativization (2008, background): “It is in part to be able to detect such potentially problematic cases that contemporary statisticians insist on using both types of statistical outputs together, probability and magnitude, to interpret findings (Thompson, 2006; Wilkinson et al., 1999).”
- Eta- and partial eta-squared in L2 research: A cautionary review and guide to more appropriate usage (2018, methodology): “Statistically speaking, scores on the dependent variable scores also contain the amount and source of variance caused by treatment effects (Thompson, 2006).”