PPT-Use of dynamic factor analysis to estimate trends in abunda

Michael Scott Sherburne Cassidy D Peterson Robert J Latour Background Shark population declines 1970s 1990s Increased commercial and recreational fishery Kselected life history Shark Fishery Management Plan NMFS 1993. SPSS. Karl L. Wuensch. Dept. . of Psychology. East Carolina University. What is a Common Factor?. It is an abstraction, a hypothetical construct . that . relates . to at least two of our measurement variables.. STA431: Spring 2013. See last slide for copyright information. Factor Analysis: The Measurement Model. D. 1. D. 8. D. 7. D. 6. D. 5. D. 4. D. 3. D. 2. F. 1. F. 2. Example with 2 factors and 8 observed variables. AnnMaria De Mars, PhD.. The Julia Group & 7 Generation Games . WHY?. Imagine this. What exactly were you planning on doing with that?. Let’s say you have a massive pile of data …. . You Could:. Lua Augustin, Savannah Guo, and Blair Marquardt. Learning Outcomes. To understand. :. What . is factor analysis.. What is its model.. Latent vs. observable variables; examples of each. .. Potential applications of factor analysis. The purpose of factor analysis is to discover patterns in the relationships among the . variables. Factor Analysis. Form of multiple correlations. Checking for construct validity. Do questions measure the same dimension?. First, . let’s. . check. . the. . reliability. of . the. . scale. Go. . to. . Analyze. , . Scale. . and. . Reliability. . analysis. Select . the. . items. . and. transfer . them. . into. You want your answer to BE IN PLAY!. Close to the correct answer.. You don’t want to be OUT IN LEFT FIELD!. I Can Make a Ballpark Estimate. Remember. When you make a Ballpark Estimate you change the numbers to close but EASIER numbers that you can easily add in your head.. Mark. 0 –20. 20 –30. 30 –35. 35 –45. 45 –55. 55 –70. Frequency. 9. 12. 20. 29. 27. 23. Example. . The distribution below represents the examination marks of 120 students.. Draw a histogram to represent the data. Prof. Andy Field. Slide . 2. Aims. Explore factor . a. nalysis and . p. rincipal . c. omponent . a. nalysis (PCA). What . Are . factors. ?. Representing . factors. Graphs and Equations. Extracting factors. Data contributed from Rose Wilson, Rosalie J Wilson Business Development Services and Mary . P. eabody, UVM Extension. Macro . T. rends & Key Words. Healthy & . Natural. Functional Foods. “No . the number of balloons in the skies above Paris. . Approximately, how many of the balloons are red and white?. Estimate the number of aeroplanes in the skies above Paris. . Approximately, how many banners are there?. Dept. of PHS, Division of . Biostats. & . Bioinf. Biostatistics Shares Resource, Hollings Cancer Center. Cancer Control Journal Club. March 3, 2016. Motivating Example. Goals of paper. 1. See if previously defined measurement model of hopelessness in advanced cancer fits this sample. Confirmatory Factor Analysis.. NOTE: A health risk assessment or appraisal includes questions on medical history, health status, and lifestyle and is designed to identify the health risks of the person being assessed.. SOURCE: Kaiser/HRET Survey of Employer-Sponsored Health Benefits, 2009-2016.. Presentation for use with the textbook, . Algorithm Design and Applications. , by M. T. Goodrich and R. Tamassia, Wiley, 2015. Application: DNA Sequence Alignment. DNA sequences can be viewed as strings of .