Data sgp is an informational database that contains many different types of data. It can be used for a variety of purposes, including analyzing education assessment data. This data can be very useful for identifying student trends over time and informing educational policy decisions. It can also be helpful in determining whether or not a particular course is effective at teaching a subject. The sgp data is available for free, and it can be accessed by anyone with an internet connection.
Using the SGP analysis tools with wide format data is, in general, a simple two step process. First, the data must be prepared correctly. This preparation is a critical part of any analysis and takes a significant amount of time. Once the data is prepared, the SGP analyses can be conducted in a relatively short period of time.
In the sgpData example above, the first column, ID, provides a unique student identifier. The next 5 columns, GRADE_2013, GRADE_2014, GRADE_2015, GRADE_2016, and GRADE_2017, provide the grade level associated with each student’s assessment score for each of the five years.
This exemplar data set models the format for the lower level studentGrowthPercentiles and studentGrowthProjections functions. The data set is anonymized and includes 8 windows (3 windows per year) of student assessment data in LONG format for 3 content areas. The student data has 7 required variables when used with SGP analyses: VALID_CASE, CONTENT_AREA, YEAR, ID, SCALE_SCORE, GRADE, and ACHIEVEMENT_LEVEL (on required if running individual level student growth and achievement plots). The remaining variables are demographic/student categorization variables used by the summarizeSGP function.
The sgptData_LONG data set is an anonymized panel data set with 8 windows (3 windows annually) of student assessment data in LONG format. The student data has 7 required variables when using with SGP analyses: VALID_CASE,CONTENT_AREA, YEAR, ID,SCALE_SCORE, GRADE, and EVADEEVEL (on required if running individual level students growth and achievement plots). The remaining variables will be added in a future version of the sgptData package.
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