PLS 300 Paper Grading Criteria — Part 1 and Final Version - Gvsu

Minimal standards for data analysisBeyond these criteria, your data analysis must meet particular standards to be eligible for a gradewithin an A range (90 - 100%). If analyzing survey data from the 2008 ANES, in order to beeligible for an A, your analysis must include a test of a theoretically meaningful multiple regressionmodel. Variables within the model must be clearly specified (in terms of scaling, etc.) and justifiedfor inclusion. Your results must be clearly explained, with respect to the hypothesis and theorytested. And all other instructions for data analysis must be followed as well.If preparing a paper based on country-level data, your analysis must include the following tobe eligible : 1) A sensitivity analysis, to compare the results of your test given different empiricalmeasures of the theoretical concepts tested; 2) appropriate transformations for linearity in bi-variatecomparisons. The work required in country-level analyses must be as rigorous as the work requiredfor multiple regression models.In addition, to be eligible for an A, R code used to prepare the analysis appearing in the papermust be submitted as an additional attachment to the paper. (It does not count toward the paperpage limit.)Levels of analysis — minimal standards for Grade levelsThe following describes the minimal standards for each range of grades. These characteristics arenecessary but not sufficient conditions for each grade.A range Paper must include a multiple regression model, as discussed in class. Or if a regressionmodel is inappropriate for the data, careful sensitivity analyses and appropriate variabletransformations to linearity (such as log transformations) must be included. Thorough analysisof results and attention to all aspects of the measurement and data analysis process. Mustalso meet standards for a B grade.B range Some inferential tests (as appropriate), comparing means or other statistics, as relevantto your hypothesis. Must include analysis of bi-variate measures of association, includingcorrelations and . Bivariate visualizations for key bi-variate comparisons, as well. Crosstabulationsas appropriate.C range Paper must include at least a cross-tabulation of variables and discussion of results.Papers without any attention to inferential statistics (as appropriate) can not receive anygrade higher than a C.2