Description of Data

This data set contains the achievement test (English as a Second Language) results and
some background data collected during experimental trial of a new ESL program. The study was
one year in duration. Students were allocated to the experimental ESL program class and a
regular program control class on a random basis. Vocabulary and grammar tests were
administered to the students in both groups at the beginning and the end of the school year.
Data can be found in the excel file: ESLprogram.xlsx
Variables
The dataset includes 24 cases and 7 variables:
 Student ID
 Group (1 – experimental, 2 – control, 9 – missing)
 Gender (1 – male, 2 – female, 9 – missing)
 Pre-test vocabulary scores (scores range from 0 – 25, 99 – missing)
 Pre-test grammar scores (scores range from 0 – 25, 99 – missing)
 Post-test vocabulary scores (scores range from 0 – 25, 99 – missing)
 Post-test grammar scores (scores range from 0 – 25, 99 – missing)
What do I need to do?

  1. Present a description of your variables: (2 marks)
    a. Provide a codebook with the following elements: Variable name; Variable label;
    Value & Value label and Variable Type (nominal, ordinal, continuous).
    b. Please present this as a table. This should fit on one page.
    c. Upload to the appropriate section on Crowdmark.
  2. Examine your data using jamovi and provide output: (2 marks)
    a. Produce appropriate descriptive statistics and graphics – examples of these are
    measures of central tendency and variability, frequency tables, histograms, and
    bar charts.
    b. Variables should be examined for overall data and broken down by at least one
    specific grouping or characteristic of the sample data.
    c. Provide the output from jamovi. It is important that your jamovi output contains
    the information you have included in your written interpretation or summary. It
    should not include unnecessary or inappropriate analysis.
    d. Upload to the appropriate section on Crowdmark.
  3. Summarize your findings: (6 marks)
find the cost of your paper

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