Description Format Details Source Examples

Data from Study of Instructional Improvement Project

The `SIIdata`

data frame has 1190 rows and 12 columns. The
dataset includes results for 1190 first grade pupils sampled from 312
classrooms in 107 schools.

- sex
a factor with 2 levels

`M`

,`F`

,i.e. males and females, resepectively- minority
a factor with 2 levels

`Mnrt=No`

,`Mnrt=Yes`

. An indicator variable for the minority status- mathkind
an integer vector with values from 290 to 629. This is pupil's math score in the spring of the kindergarten year

- mathgain
an integer vector with values from -110 to 253. Number represents pupil's gain in the math achievement score from the spring of kindergarten to the spring of first grade

- ses
a numeric vector with values from -1.61 to 3.21. Value represents socioeconomical status

- yearstea
a numeric vector with values from 0 to 40. It is number of years of teacher's experience in teaching in the first grade

- mathknow
a numeric vector with values from -2.5 to 2.61. Number represents teacher's knowledge of the first-grade math contents (higher values indicate a higher knowledge of the contents)

- housepov
a numeric vector containing proportion of households in the nneighborhood of the school below the poverty level with values ranging from 0.012 to 0.564

- mathprep
a numeric vector with values from 1 to 6. Contains the number of preparatory courses on the first-grade math contents and methods followed by the teacher.

- classid
a factor with 312 levels

`1`

,`2`

,`3`

,`4`

,`5`

, ...,`312`

. Classroom's id- schoolid
a factor with 107 levels

`1`

,`2`

,`3`

,`4`

,`5`

, ...,`107`

. School's id- childid
a factor with 1190 levels

`1`

,`2`

,`3`

,`4`

,`5`

, ...,`1190`

. Pupil's id

The SII Project was carried out to assess the math
achievement scores of first- and third-grade pupils in
randomly selected classrooms from a national US sample of
elementary schools (Hill et al, 2005). Data were also
analyzed in West et al, 2007. The outcome of interest is
`mathgain`

variable. Data were created based on
`classroom`

data from `WWGbook`

package

Hill, H., Rowan, B., and Ball, D. (2005). Effect of teachers mathematical knowledge for teaching on student achievement. American Educational Research Journal, 42, 371-406.

West, B. T.,Welch, K. B., and Galecki, A. T. (2007). Linear Mixed Models: A Practical Guide Using Statistical Software. Chapman and Hall/CRC.

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