MidTerm Test

1
Mid-Term Test

• 40 multiple choice questions (1 mark each)
• 4 numerical problems (25 marks in total)
• Bring a pencil will be using Parscore answer
  sheets
• Bring a calculator

2
What you should know

• how to calculate a percentile rank (p. 35
  theres also an example on p. 36-38)
• how to calculate a mean (p. 39) and standard
  deviation for a sample (p. 42, the 1st formula)
• how to compute a Z-score (p. 43)
• the regression formula (Y a bX), and its
  equivalent in standard form (ZY rZX)
• how to calculate the standard error of the
  estimate (p. 82)

3
What you should know (contd)

• the Spearman-Brown formula for split-half
  reliability (p. 110)
• the standard error of measurement (p. 120) and
  how to compute a confidence interval (p. 122-123)
• the Spearman-Brown method for determining number
  of items for a certain reliability (p. 125)
• the formula for calculating maximum validity
  coefficients from the reliabilities of the
  measure and criterion (p. 154)
• the correction for guessing (p. 161)
• how to calculate item difficulty (p. 169)
• how to compute a discrimination index (p. 171)

4
What you should be able to do

• Any of the problems assigned for homework
• Any of the calculations that weve done in class

5
What you dont need to know

• the section on tracking (p. 54-58)
• how to calculate regression coefficients
• the statistical definition of regression (p.
  72-73)
• how to calculate t (p. 73)
• the material in technical box 3.2 (p. 81)
• the coefficient of alienation (p. 83)

6
What you dont need to know (contd)

• appendix 3-1 (p. 93-98 calculation of a
  regression equation correlation coefficient)
• the formulae for coefficient alpha, KR20 or KR21
  (p. 111-113)
• reliability of a difference score (p. 114-115)
• the correction for attenuation (p. 126-127)
• Appendices 4-1 and 4-2 (p. 129-131)
• how to calculate a point-biserial correlation (p.
  170-171)