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Test Theory (Fach) / Chapter 3 (Lektion)
test norms
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- Construct general definition of the variable
- nominal scale assigns numerals, classifies
- ordinal scale places in order of magnitude (größe)
- Frequency distribution F and CumF organizes the data into groups of adjacent scores F = COUNT wie viele in dem bestimmten Intervall Cum F= Frequency at and below each interval
- What we want to compare ? We often want to compare an individual test score with test scores in a population so that we can interpret the score in relation to other scores
- Norming Start with raw score or total score = sum of item scores Raw score --> other scores with clear meaning (e,g. z scores)
- Kurtosis a. Leptokurtic b. platykurtic = kURVE -> PEAKNESS OF THE DISTRIBUTION a. lap dance -> spitz b. platt
- Skewness left skewed = negative skewed right skewed = positive skewed
- Correcting for guessing formel W (number of wrong answers) / K-1 K = options of answer
- Z scores = (X - M) / SD
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- Percentile ranks Pr = (B / N) *100 Pr = Percentile rank of score XB = the number of scores smaller than XN = total number of scores what percent of the scores in the norm group falls below a particular score ? Thus starting with a score
- Percentile = point on a scale below which a specified percentages of cases fall, thus starting with, for example, 60%ile and then find the score
- Percentage-right score 90 % in test is good 60% middle ...