sgpData is a panel data set containing 5 years of annual assessment data. This data is used in SGP analyses and projections. All other variables are demographic variables used for generating student aggregates by the summarizeSGP function.
To get the most out of the sgpData package, it’s important to understand the format of the data. For example, if you want to run student growth projections, you’ll need to provide the following values: GRADE, FIRST_NAME, SCALE_SCORE, and ACHIEVEMENT_LEVEL. Similarly, for SGP analyses, you’ll need the ID, CONTENT_AREA, and YEAR.
If you’re preparing for SGP analyses, you may also want to use LONG data, a type of longitudinal student assessment data. This format allows you to spread out time dependent data across multiple rows and columns. Most analyses are better off using LONG format data. In addition to these preparation benefits, LONG data is also useful for data storage.
In general, SGP packages are designed to work with LONG data. However, in many cases, it’s beneficial to create and analyze sgpData in WIDE format. WIDE format is a type of longitudinal student assessment data that represents a unique student identifier. You’ll need to provide an ID in the first column of sgpData. In addition, you’ll need to provide the grade level and the time that was associated with the assessment occurrences.
You should be aware that, for most analyses, LONG data is better than WIDE. This is because LONG data spreads out time dependent data across multiple rows and columns, giving you greater flexibility and a more accurate representation of the data. This is especially true when analyzing individual-level student growth plots. In addition, LONG data has numerous preparation benefits, including the ability to create a more accurate and detailed data sheet.
In summary, you’ll need to provide the following data when running SGP analyses: ID, CONTENT_AREA, SGPDATA, and VALID_CASE. The SGPData table also contains missing values (NA), which can be a valuable indicator of missing data. In addition, the sgpData table shows a missing value for each student in the data. This can be useful for verifying the correctness of your data.
SGPdata includes exemplar longitudinal data sets that can be useful for generating projections of student growth. These data sets are derived from the student assessment data in the sgpData table, which means they are based on the same data. These data sets are provided by the SGP package, which provides extensive documentation on sgpData.
To get the most out of sgpData, you should always ensure that all the data you’re using is accurate. It’s important to remember that sgpData is an anonymized panel data set, so there’s a possibility that some students have been removed from the data set. You should also be sure that the data you’re using is up to date, as there’s a chance that you could be using old data. You can avoid this by keeping an updated list of students in the sgpData table.