Moving beyond the mean in studies of mental chronometry: The power of response time distributional analyses
10.1177/0963721411408885
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sg-nus-scholar.10635-1258382023-10-29T22:32:46Z Moving beyond the mean in studies of mental chronometry: The power of response time distributional analyses Balota, D.A. Yap, M.J. PSYCHOLOGY ex-Gaussian analyses individual differences response time distributional analyses visual word recognition 10.1177/0963721411408885 Current Directions in Psychological Science 20 3 160-166 2016-07-10T02:36:06Z 2016-07-10T02:36:06Z 2011-06 Review Balota, D.A., Yap, M.J. (2011-06). Moving beyond the mean in studies of mental chronometry: The power of response time distributional analyses. Current Directions in Psychological Science 20 (3) : 160-166. ScholarBank@NUS Repository. https://doi.org/10.1177/0963721411408885 09637214 http://scholarbank.nus.edu.sg/handle/10635/125838 000296509100005 Scopus |
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ex-Gaussian analyses individual differences response time distributional analyses visual word recognition |
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ex-Gaussian analyses individual differences response time distributional analyses visual word recognition Balota, D.A. Yap, M.J. Moving beyond the mean in studies of mental chronometry: The power of response time distributional analyses |
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10.1177/0963721411408885 |
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PSYCHOLOGY |
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PSYCHOLOGY Balota, D.A. Yap, M.J. |
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Review |
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Balota, D.A. Yap, M.J. |
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Balota, D.A. |
title |
Moving beyond the mean in studies of mental chronometry: The power of response time distributional analyses |
title_short |
Moving beyond the mean in studies of mental chronometry: The power of response time distributional analyses |
title_full |
Moving beyond the mean in studies of mental chronometry: The power of response time distributional analyses |
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Moving beyond the mean in studies of mental chronometry: The power of response time distributional analyses |
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Moving beyond the mean in studies of mental chronometry: The power of response time distributional analyses |
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moving beyond the mean in studies of mental chronometry: the power of response time distributional analyses |
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2016 |
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http://scholarbank.nus.edu.sg/handle/10635/125838 |
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