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Practicing Two-Level Hierarchical Linear Modeling with Categorical Outcome Measure - Prof., Assignments of School management&administration

Instructions for homework 4 of edld 610 course, winter 2009, focused on practicing the use and application of two-level hlm models with a categorical outcome measure. The assignment requires creating an mdm file, running unconditional and random effects models, specifying a level 2 model, obtaining a level 1 graph, and writing a results paragraph with a table of fixed effects.

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Uploaded on 07/29/2009

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Download Practicing Two-Level Hierarchical Linear Modeling with Categorical Outcome Measure - Prof. and more Assignments School management&administration in PDF only on Docsity! EDLD 610, Hierarchical Linear Modeling Homework No. 4, Winter 2009 Due Date: None! The purpose of homework 4 is to practice the use and application of two level HLM models that analyze a categorical outcome measure. Use the files named “hw4_level1.sav” and “hw4_level2.sav” that are in the data subdirectory on the web. The data example is composed of data on High School dropout for 4,522 students nested in 200 schools. 1. Create an MDM file using the two data files. The variable “stuid” is an identification number for students and the variable “schid” is an identification number for schools. Use “schid” to link the files. Include the following variables from your level 1 file: schid, dropout, female, black, hispanic. Include the following variables from your level 2 file: schid, press. After creating the MDM file, print the summary of statistics and attach. 2. Choose "basic specifications" on the HLM toolbar and specify a Bernoulli (0, 1) distribution for the analysis. Run an unconditional HLM model using “dropout” as the outcome variable (note that dropout is coded 0 for a dropout and 1 for a student who matriculated). Attach the last page of output. 3. Now include the predictors Female, Black, and Hispanic at level 1. Run a random effects model. Attach the last page of output. Which model parameters should be treated as fixed effects and which as random effects? 4. Based on your conclusions about parameter variation in question 3, specify a level 2 model and add the variable Press (a measure of academic press in the school) as a predictor of all level 2 parameters. Attach the last page of output. 5. Obtain a level 1 graph using "graph equations-level 1 equation graphing" and specifying dropout as the Y-axis, Female as the X-axis, and Press as the Z-focus. For groups, specify a sample of .20. Briefly interpret the results in the graph. 6. Write a paragraph (or two) in APA style appropriate for a journal manuscript that describes the results of the last analysis. Include a table of the fixed effects results from the last analysis in APA style.
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