Statistical Analyses for Language Assessment Book
Many classroom teachers and applied linguists find statistical analyses of test results, or number crunching, either inaccessible or incomprehensible. The primary purpose of this book is to make statistical analyses accessible to those who may need to use and interpret language tests.
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PART II Statistics for test analysis and improvement
PART III Statistics for test use
Critical values of t
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analysis ANOVA approach appropriate assumptions Bachman & Palmer basis calculate cent confident characteristics composite score confidence interval correlation coefficient counterclaims CR tests criterion-referenced cut score D-study decisions dependent descriptive statistics deviation scores different groups different tests domain due to chance effect Equation example F-ratio factor frequency G-theory group of test hypotheses indicator inferences item response theory kurtosis language ability language assessment language testing large number level of measurement levels of ability measurement error norm-referenced norm-referenced tests normal distribution null hypothesis obtain ofthe particular test percentile ranks population mean range raters ratings raw scores relationship relative reliability estimates sample mean sample statistics scale score distributions score variance sets of scores sets of test situations skewed specific standard deviation standard error statistical procedures t-test Table test developer test scores test takers test tasks test users tion validation variables variance components vocabulary z-scores zero
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