统计语言学教案(全英文版)
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Oxford: Oxford University Press.
Hatch, E. & Lazaraton, A. 1991. The Research Manual: Design and Statistics for Applied Linguistics. New
York: Newbury House Publishers.
6. SPSS
Assessment
30% classroom participation 70% final exam
Course Books
李绍山，2001，《语言研究中的统计 学》，西安：西安交通大学出版社。
Butler, C. 1985. Statistics in Linguistics.
3. Describing data
Syllabus a) Frequency distribution i. Introduction ii. Frequency distribution tables iii. Frequency distribution graphs 1. Histograms 2. Polygons b) Measure of central tendency
Statistics in Linguistics
Syllabus
1. Introduction a) Need for statistics in linguistics
2. Describing Variables a) Populations and samples b) Function of variables i. Independent variable ii. Dependent variable c) Level of measurement i. Nominal variable ii. Ordinal variable iii. Interval and ratio variable iv. Discrete and continuous variable
Brown, J. D. 1988. Understanding Research in Second Language Learning. Cambridge: Cambridge
University Press.
Brown, J. D. 2002. Doing Second Language Research.
New York: Basil Blackwell. Woods, A., Fletcher, P. & Hughes, A.
1986. Statistics in Language Studies.
Cambridge: Cambridge Universi来自百度文库y Press.
References
i. Mode ii. Median iii. Mean iv. Central tendency and the shape of distribution c) Measure of variability i. Range ii. Variance iii. Standard deviation d) Locating scores and finding scales in a distribution i. Percentiles, quartiles, and deciles ii. Standard scores iii. Z-score and normal distribution iv. T scores e) Probability i. Introduction ii. Probability and normal distribution iii. Probability and samples iv. Hypothesis testing v. Parametric vs. nonparametric procedures
Syllabus
4. Comparing groups a) Comparing two groups i. between group designs 1. t-test 2. Nonparametric comparisons ii. Repeated-measures 1. matched t-test 2. Nonparametric comparisons b) Comparing three or more groups i. Between groups 1. One-way ANOVA 2. Nonparametric comparisons ii. Repeated-measures 1. One-way ANOVA 2. Nonparametric comparisons
Hinton, P. 2004. Statistics Explained. London:
Routledge.
Muijs, D. 2004. Doing Quantitative Research in Education with SPSS. London: Sage Publications.
Syllabus
5. Describing relationships a) Correlation i. Pearson correlation ii. Correlations with non-continuous variables 1. Point Biserial Correlation 2. Spearman Rank-order correlation 3. phi correlation b) Chi-square procedures i. Test for Goodness of Fit ii. Test for independence iii. Assumptions underlying Chi-square c) Factor analysis i. Principle component analysis and factor analysis ii. Interpreting components or factors
Hatch, E. & Lazaraton, A. 1991. The Research Manual: Design and Statistics for Applied Linguistics. New
York: Newbury House Publishers.
6. SPSS
Assessment
30% classroom participation 70% final exam
Course Books
李绍山，2001，《语言研究中的统计 学》，西安：西安交通大学出版社。
Butler, C. 1985. Statistics in Linguistics.
3. Describing data
Syllabus a) Frequency distribution i. Introduction ii. Frequency distribution tables iii. Frequency distribution graphs 1. Histograms 2. Polygons b) Measure of central tendency
Statistics in Linguistics
Syllabus
1. Introduction a) Need for statistics in linguistics
2. Describing Variables a) Populations and samples b) Function of variables i. Independent variable ii. Dependent variable c) Level of measurement i. Nominal variable ii. Ordinal variable iii. Interval and ratio variable iv. Discrete and continuous variable
Brown, J. D. 1988. Understanding Research in Second Language Learning. Cambridge: Cambridge
University Press.
Brown, J. D. 2002. Doing Second Language Research.
New York: Basil Blackwell. Woods, A., Fletcher, P. & Hughes, A.
1986. Statistics in Language Studies.
Cambridge: Cambridge Universi来自百度文库y Press.
References
i. Mode ii. Median iii. Mean iv. Central tendency and the shape of distribution c) Measure of variability i. Range ii. Variance iii. Standard deviation d) Locating scores and finding scales in a distribution i. Percentiles, quartiles, and deciles ii. Standard scores iii. Z-score and normal distribution iv. T scores e) Probability i. Introduction ii. Probability and normal distribution iii. Probability and samples iv. Hypothesis testing v. Parametric vs. nonparametric procedures
Syllabus
4. Comparing groups a) Comparing two groups i. between group designs 1. t-test 2. Nonparametric comparisons ii. Repeated-measures 1. matched t-test 2. Nonparametric comparisons b) Comparing three or more groups i. Between groups 1. One-way ANOVA 2. Nonparametric comparisons ii. Repeated-measures 1. One-way ANOVA 2. Nonparametric comparisons
Hinton, P. 2004. Statistics Explained. London:
Routledge.
Muijs, D. 2004. Doing Quantitative Research in Education with SPSS. London: Sage Publications.
Syllabus
5. Describing relationships a) Correlation i. Pearson correlation ii. Correlations with non-continuous variables 1. Point Biserial Correlation 2. Spearman Rank-order correlation 3. phi correlation b) Chi-square procedures i. Test for Goodness of Fit ii. Test for independence iii. Assumptions underlying Chi-square c) Factor analysis i. Principle component analysis and factor analysis ii. Interpreting components or factors