Understanding Correlation: Factors That Affect the Size of r

By L. Goodwin, Nancy L. Leech. 2006

455 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Management Science and Operations Research, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/b6cf001cbab0375a96c370585462dd3c163669af

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In Computer Networks and Communications

In Management Science and Operations Research

In Statistics and Probability

Citations in the corpus

What’s the best way to characterize the relationship between working memory and achievement?: An initial examination of competing theories. (2020, background): “Measurement error simply reduces the correlation between two variables; reliability is in essence a correlation with itself, and if the reliability is low it cannot correlate with another variable (Goodwin & Leech, 2006).”
At what sample size do latent variable correlations stabilize? (2018, background): “However, the impact of reliability would be expected to extend to other effect sizes (e.g., Cohen’s d; Bobko, Roth & Bobko, 2001). can impact the power of a statistical test (Beckstead, 2013; Cole & Preacher, 2014; Cleary & Linn, 1969; Goodwin & Leech, 2006; Sutcliffe, 1958)3.”
Predicting L2 reading proficiency with modalities of vocabulary knowledge: A bootstrapping approach (2020, background): “Since internal reliability statistics, such as Cronbach’s alpha, are essentially measures of the correlations of tests to themselves (Goodwin & Leech, 2006), if the reliability of a given test form is low, it will degrade the power with which it can be correlated to other tests (Lockhart, 1998).”
Time Spent on Social Network Sites and Psychological Well-Being: A Meta-Analysis (2017, unknown): “’’ The variability of variables is a factor that affects the magnitude of correlation coefficient.(14) Specifically, the correlation increases with the variability among variables.”
Exploratory Factor Analysis: A Guide to Best Practice (2018, background): “The Pearson correlation coefficient assumes normality (Goodwin & Leech, 2006), but violations of normality appear to be common with real data sets (Cain, Zhang, & Yuan, 2017; Micceri, 1989).”
Personality traits and exercise dependence: Exploring the role of narcissism and perfectionism (2014, methodology): “Despite fulfilling the requirements to perform the relevant statistical analyses, a smaller sample size often leads to greater variability in correlational research (Goodwin & Leech, 2006).”