PPT-Advanced Methods and Analysis for the Learning and Social Sciences

Author : min-jolicoeur | Published Date : 2018-03-22

PSY505 Spring term 2012 March 26 2012 Todays Class Sequential Pattern Mining Related to Association Rule Mining MOTIF Extraction Similarities MOTIF Extraction can

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Advanced Methods and Analysis for the Learning and Social Sciences: Transcript


PSY505 Spring term 2012 March 26 2012 Todays Class Sequential Pattern Mining Related to Association Rule Mining MOTIF Extraction Similarities MOTIF Extraction can be seen as a type of sequential pattern mining. PSY505. Spring term, 2012. February . 27, . 2012. Today’s Class. Regression and . Regressors. Two Key Types of Prediction. This slide adapted from slide by Andrew W. Moore, Google. http://www.cs.cmu.edu/~awm/tutorials. PSY505. Spring term, 2012. April 18, 2012. Today’s Class. Post-hoc Adjustments. The Problem. If you run 20 statistical tests, you get a statistically significant effect in one of them. If you report that effect in isolation, as if it were significant, you add junk to the open literature. Advanced Models and Methods . in Behavioral Research. Chris Snijders. c.c.p.snijders@gmail.com. 3 ects. http://www.chrissnijders.com/ammbr (=studyguide). literature: Field book + separate course material. Advanced Models and Methods . in Behavioral Research. Chris Snijders. c.c.p.snijders@gmail.com. 3 ects. http://www.chrissnijders.com/ammbr (=studyguide). literature: Field book + separate course material. Research Training Programme Overview. Vice-Principal & Head of College of Social Sciences: Professor Anne Anderson. Dean of the Graduate School: Professor Richard Berry. Qualitative Methods Training: Dr. Lito Tsitsou. PSY505. Spring term, 2012. April . 11, . 2012. Today’s Class. Power Analysis. Statistical Power. Power Analysis. A set of methods for determining. The probability that you will obtain a statistically significant result, assuming a true effect size and sample size of a certain magnitude. PSY505. Spring term, 2012. April . 4, . 2012. Today’s Class. Discovery with Models. Discovery with Models. Discovery with Models: . The Big Idea. A model . of a phenomenon is developed . Via . Prediction. PSY505. Spring term, 2012. March 16, 2012. Today’s Class. Association Rule Mining. Today’s Class. The Land of Inconsistent Terminology. Association Rule Mining. Try to automatically find simple if-then rules within the data set. PSY505. Spring term, 2012. April . 26, . 2012. Today’s Class. Frequentist. Statistics not Frequently Covered in 21. st. Century Textbooks. Why aren’t they covered?. Could cover a lot of methods. PSY505. Spring term, 2012. January 23, 2012. Today’s Class. Item Response Theory. What is the key goal of IRT?. What is the key goal of IRT?. Measuring how much of some latent trait a person has. How intelligent is Bob?. Gary King. Institute for Quantitative Social Science. Harvard . University. (talk at University of Virginia, 9/14/12). Gary King (Harvard) Quantitative Social Science 1 / 7. 1. The Spectacular Success of Quantitative . PSY505. Spring term, 2012. February . 27, . 2012. Today’s Class. Regression and . Regressors. Two Key Types of Prediction. This slide adapted from slide by Andrew W. Moore, Google. http://www.cs.cmu.edu/~awm/tutorials. PSY505. Spring term, 2012. February 6, 2012. Today’s Class. Advanced . BKT and Learning Decomposition. Learning Decomposition. (Beck et al., 2006). A, -b, B: Free parameters. t1, t2: Number of practice of types 1, 2. PSY505. Spring term, 2012. February . 22, . 2012. Today’s Class. Meta-Analysis. Meta-Analysis. What is it?. Meta-Analysis. What is it usually used for?. Meta-Analysis. What are the key challenges?.

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