Scientific Software International (SSI) publishes statistical data analysis software: LISREL (structural equation model/SEM, survey generalized linear model/SGLIM), 
HLM (hierarchical linear modeling, multilevel model) and Item Response Theory/IRT (BILOG-MG, MULTILOG, PARSCALE)Scientific Software International (SSI) publishes statistical data analysis software: LISREL (structural equation model/SEM, survey generalized linear model/SGLIM), 
HLM (hierarchical linear modeling, multilevel model) and Item Response Theory/IRT (BILOG-MG, MULTILOG, PARSCALE)Scientific Software International (SSI) publishes statistical data analysis software: LISREL (structural equation model/SEM, survey generalized linear model/SGLIM), 
HLM (hierarchical linear modeling, multilevel model) and Item Response Theory/IRT (BILOG-MG, MULTILOG, PARSCALE)

 Data based graphing : box and whisker plots

We first illustrate how to use box-and-whisker plots to display univariate distributions of level-1 variables for each level-2 unit, with and without a level-2 classification variable. Using the HS&B data, we display graphical summaries of the mathematics achievement variable, MATHACH, and simultaneously show differences in the student scores within a school and among schools.

To prepare box-and-whisker plots

1.From the HLM window open the File menu.

2.Choose Create a new model using an existing MDM file to open an Open MDM File dialog box.

3.Open hsb.mdm. Open the File menu, choose Graph Data … box-whisker plots to open an Choose Y for box plot dialog box.

4.Select MATHACH in the Y-axis drop-down list box.

5.Choose the number of groups to be used for graphing. There are three options: (a) First ten groups; (b) Random sample of spec'd prob (specified probability) and (c) All groups (n = total number of groups) for users to choose from in the Number of groups drop-down list box. The selection of option (b) requires the user to specify the proportion or percent of the level-2 units to be included. to do so, enter a probability into the text box for Probability (0 to 1). In our example, we randomly select 10 percent of the schools to illustrate. we select Random sample of spec'd prob from the Number of groups drop-down list box. Enter 0.1 into the text box for Probability (0 to 1) to indicate that 10 percent or a proportion of .1 of the schools will be used.

6.Specify the arrangement of the plots by either (a) the original order of the groups as appeared in the data set or (b) the median in an ascending order. Click on the selection button for median in the Sort by section to arrange the box-and-whisker plots of MATHACH by median in an ascending order.

7.Click OK to display the plots.

The figure gives side-by-side graphical summaries of the distributions of MATHACH for the sixteen schools sorted by median. The x-axis denotes number of schools in the display and the y-axis mathematics achievement. The plot tells us that the first school from the left has a median score of about 6.05, which is the lowest school median in this group. The distribution of the scores of the students in this school is positively skewed and there is an outlier at the upper end.

The third and the fourth schools from the left have similar distributions of mathematics scores. Compared to the distribution of the scores of the adjacent school on the right, however, the scores of these two schools display greater variability, as defined by the lengths of the boxes or interquartile ranges. In addition, there is an outlier at the upper end of the distribution for the fifth school. The highest median mathematics score among the 16 schools was 19.08.

Optional:

1. WHLM allows users to list the raw data of a specific group that is graphically summarized in one of the box-and-whisker plots as well. To see the data of a specific level-2 unit, click on one of the box-and-whisker plots (near the median is usually a good place) in the graph shown above, which brings up the following dialog box:

Click Data and then a dialog box containing the data of a specific group will appear. In our example, we examine the raw scores of the school with the highest median). The title bar of the figure below tells us the level-2 ID of the box-and-whisker plot we selected is 3427. # is a zero-based counter for group plots.

As the box-and-whisker plots are plotted individually in the example, it is 0. X tells us that the data are from the thirteenth school displayed on the plot. Y1 to Y11 list the mathematics scores for the first eleven students in School 3427. Move the bottom scroll box to the left to display more scores for the other students.

2. To edit the graph, open the Edit menu and choose Graph Parameters.... The user can change attributes such as size and color of the graph, border, and plotting area. By choosing Copy graph or Copy current page (when there are more than one pages of graphs), users can directly copy and paste the graph or current page into a word processing or graphics document.

3. To print the graph, open the File menu, select Print current page or Print selected graph when there are more than one graph. Users can choose Printing Options...to change printing parameters such as choice of background, border type, aspect ratio(the ratio of the x-axis length to the y-axis length, the default is 5/3), and printingstyle.

To save the graph for future use by opening the File menu and choose Save as metafile. A Save as dialog box will open. Enter a filename for the file and click OK. The filecan be saved as an Enhanced Metafile (.emf) (default and preferred as it holds moreinformation than the other option) or Windows Metafile (.wmf). Users can use word processing programs to insert the graph file into the text. For example, to insert the saved .emf file into Word, choose Insert-...Picture-...From File from Word’s main menu.

4. To make modifications to the specifications, select Graph Settings. The Equation Graphing dialog box will appear. We are going to illustrate this by addinga level-2 classification variable next.

To include a level-2 classification variable

After choosing the Y-Axis variable, select the level-2 classification variable in the Z-focus drop-down list box. There are two types of level-2 classificationvariables, categorical and continuous. For categorical variables, WHLM will classify the plots with the levels of the variables. For continuous variables, users can choose either to dichotomize them using median splits, or trichotomize them into three groups:(a) 0 to 24th percentile; (b) 25th to 75th percentile; and (c) 76th percentile and above. These two options, available when a continuous classification variable is chosen, can be found in the lower Z-focus drop-down list box. In our example, we will choose school sector, Catholic vs. public school, as the classification variable. To continue working on the plot we have just made, click Graph Settings to open theEquation Graphing dialog box. Select SECTOR in the Z-focus dialog box. The following graph will be displayed.

In the graph, the box-and-whisker plots for Catholic and public schools are coded differently (red for Catholic and blue for public schools). The colored graphs suggest that the three schools that have the highest median mathematics scores are Catholic schools. The school with the lowest average belongs to the public sector.

Users can edit the legends by clicking on them in the graph above to open the Legend Parameters dialog box, which allows them to make changes in the titles of the legends, their sizes and font types, and the display of the legend box. For example, one may like to change SECTOR = 0 in the text box below to PUBLIC = 0 and SECTOR = 1 to CATHOLIC = 1.


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