J. Metsämuuronen - Academia.edu (original) (raw)
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Papers by J. Metsämuuronen
Academia Letters
Product-moment correlation coefficient (PMC), "Pearson correlation", is usually taken as a symmet... more Product-moment correlation coefficient (PMC), "Pearson correlation", is usually taken as a symmetric measure of association because it produces equal estimate irrespective of how two variables in the analysis are declared. However, when the scales of the variables differ from each other, PMC is unambiguously a directional measure directed so that the variable with a wider scale (X) explains the order or response pattern in the variable with a narrower scale (g) and not in the opposite direction nor symmetrically. Hence, whenever the statistic r2 is calculated as is usually seen in the general scatterplots, this statistic is always a directional measure if the scales differ from each other; this should be kept in mind when interpreting r-squared statistics.
Opetushallitus, 1997
Peer reviewed as an emerging construction technology DISCLAIMER Purdue University does not endors... more Peer reviewed as an emerging construction technology DISCLAIMER Purdue University does not endorse this technology or represents that the information presented can be relied upon without further investigation.
Academia Letters, 2022
Product-moment correlation coefficient (PMC), "Pearson correlation", is usually taken as a symmet... more Product-moment correlation coefficient (PMC), "Pearson correlation", is usually taken as a symmetric measure of association because it produces equal estimate irrespective of how two variables in the analysis are declared. However, when the scales of the variables differ from each other, PMC is unambiguously a directional measure directed so that the variable with a wider scale (X) explains the order or response pattern in the variable with a narrower scale (g) and not in the opposite direction nor symmetrically. Hence, whenever the statistic r2 is calculated as is usually seen in the general scatterplots, this statistic is always a directional measure if the scales differ from each other; this should be kept in mind when interpreting r-squared statistics.
Scandinavian Journal of Medicine & Science in Sports, 2007
Kasvatus & Aika 3 (2009): 2, 2009
Journal of Educational and Developmental Psychology, 2014
The repeating testing has shown to increase the general proficiency level of the students. Metsam... more The repeating testing has shown to increase the general proficiency level of the students. Metsamuuronen (2013) showed with an experimental study that the overall achievement level in a secondary language enhanced statistically significantly whit repeated testing design. Previously, Tuvling (1967) and Karpicke & Roediger (2008) showed with a laboratory experiment that remembering the material studied is the most efficient with repeated testing sessions rather than with repeated studying sessions. An explanation for this, given by Lasry, Levy and Tremblay (2008), is that the repeated testing leads to multiple traces to the memory, which optimizes recall. This study concentrates on the increase in the proficiency level in Vocabulary, Nominal structures and Verbal Morphology after the set of exhaustive testing sessions. It also reviles change in the proficiency levels of the students in these areas during the study process. The experimental group gained more than the control group in a...
... asetelman tutkia sitä, kuinka äidinkielen osaaminen on muuttunut peruskoulussa kolmen vuoden ... more ... asetelman tutkia sitä, kuinka äidinkielen osaaminen on muuttunut peruskoulussa kolmen vuoden aikana siirryttäessä 6. vuosiluokalta 9 vuosiluo-kalle. ... Näin saatiin hieman tarkempaa tietoa 9. luokan mittauksessa käytetty mit-tari oli pidempi kuin 6. luokan osaamista ...
Academia Letters
Product-moment correlation coefficient (PMC), "Pearson correlation", is usually taken as a symmet... more Product-moment correlation coefficient (PMC), "Pearson correlation", is usually taken as a symmetric measure of association because it produces equal estimate irrespective of how two variables in the analysis are declared. However, when the scales of the variables differ from each other, PMC is unambiguously a directional measure directed so that the variable with a wider scale (X) explains the order or response pattern in the variable with a narrower scale (g) and not in the opposite direction nor symmetrically. Hence, whenever the statistic r2 is calculated as is usually seen in the general scatterplots, this statistic is always a directional measure if the scales differ from each other; this should be kept in mind when interpreting r-squared statistics.
Opetushallitus, 1997
Peer reviewed as an emerging construction technology DISCLAIMER Purdue University does not endors... more Peer reviewed as an emerging construction technology DISCLAIMER Purdue University does not endorse this technology or represents that the information presented can be relied upon without further investigation.
Academia Letters, 2022
Product-moment correlation coefficient (PMC), "Pearson correlation", is usually taken as a symmet... more Product-moment correlation coefficient (PMC), "Pearson correlation", is usually taken as a symmetric measure of association because it produces equal estimate irrespective of how two variables in the analysis are declared. However, when the scales of the variables differ from each other, PMC is unambiguously a directional measure directed so that the variable with a wider scale (X) explains the order or response pattern in the variable with a narrower scale (g) and not in the opposite direction nor symmetrically. Hence, whenever the statistic r2 is calculated as is usually seen in the general scatterplots, this statistic is always a directional measure if the scales differ from each other; this should be kept in mind when interpreting r-squared statistics.
Scandinavian Journal of Medicine & Science in Sports, 2007
Kasvatus & Aika 3 (2009): 2, 2009
Journal of Educational and Developmental Psychology, 2014
The repeating testing has shown to increase the general proficiency level of the students. Metsam... more The repeating testing has shown to increase the general proficiency level of the students. Metsamuuronen (2013) showed with an experimental study that the overall achievement level in a secondary language enhanced statistically significantly whit repeated testing design. Previously, Tuvling (1967) and Karpicke & Roediger (2008) showed with a laboratory experiment that remembering the material studied is the most efficient with repeated testing sessions rather than with repeated studying sessions. An explanation for this, given by Lasry, Levy and Tremblay (2008), is that the repeated testing leads to multiple traces to the memory, which optimizes recall. This study concentrates on the increase in the proficiency level in Vocabulary, Nominal structures and Verbal Morphology after the set of exhaustive testing sessions. It also reviles change in the proficiency levels of the students in these areas during the study process. The experimental group gained more than the control group in a...
... asetelman tutkia sitä, kuinka äidinkielen osaaminen on muuttunut peruskoulussa kolmen vuoden ... more ... asetelman tutkia sitä, kuinka äidinkielen osaaminen on muuttunut peruskoulussa kolmen vuoden aikana siirryttäessä 6. vuosiluokalta 9 vuosiluo-kalle. ... Näin saatiin hieman tarkempaa tietoa 9. luokan mittauksessa käytetty mit-tari oli pidempi kuin 6. luokan osaamista ...