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  1. R

    Large Sample Surveys

    Thanks for the reply. I am quite familiar with the difference between practical significant and statistical significance. Large samples will find meaningless statistical differences due to bias from the large n. Other statisticians have suggested using Cohen's D (effect size). I suppose my...
  2. R

    Large Sample Surveys

    Dear Forum, I encountered an employee satisfaction survey report which sampled 50,000 employees (try not to laugh, that's a sample not the population). The authors reported % agreement based on Likert scales, which is not great, but ok, and compared said "scores" to a normative benchmark (for...
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    Correcting for Extreme Response Bias

    I was taught back in grad school that large enough samples of likert items eventually conform to the central limit theorem, and that low scores and high scores balance out. I've never heard of response style until now, and wondered if this was actual issue that "real" psychometricians take into...
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    Correcting for Extreme Response Bias

    Assessment has 48 likert scale items, using 7pt agreement scales. I have performed CFA with a validation set of 287 respondents. I'm using deviation IQ to transform the scores. However, I noted that some respondents tend to answer all in the 6 or 7s, or all 3s. Or all 1s and 2s. I have read...
  5. R

    Correcting for Extreme Response Bias

    Hello Forum, Does anyone have suggestions for adjusting scores from a psychometric assessment that appear to suffer from ERS? I'm looking for an applied approach, perhaps a formula that I can use in Excel to adjust the data. Thanks!