Silabus dan SAP Statistics in Language Education 2011.docx

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Program Studi Pendidikan Bahasa Inggris

Jurusan Pendidikan Bahasa Inggris

Fakultas Pendidikan Bahasa dan Seni

Universitas Pendidikan Indonesia

Course

: Statistics in Language Education

Code

: IG 530

Chs

: 2 Chs

Semester

: 5

Prerequisite :

-Lecturer

: Riesky, M.Ed.

1. Objectives

Upon the completion of the course, students are able to:

1. understand the basic concepts of statistics

2. understand the elements of data and how data are distributed

3. describe and summarize data by using measures of central tendency and dispersion

4. conduct simple statistical analyses of correlation and mean difference on provided

data

2. Course Description

This course introduces some basic concepts of statistics to the students. The topics cover four

main areas of discussion, namely (1) understanding data: components and distribution, (2)

describing and summarizing data by the means of measures of central tendency and

dispersion, (3) analyses of correlation, and (4) analyses of mean difference. Classroom

discussions will also highlight some applications of statistics in the contexts of language

education.

3. Learning Activities

Learning activities are the combination of lectures, discussions, and conducting statistical

analysis. Students are required to write chapter report prior to coming to the class. This is to

enforce students’ responsibility and to enhance their preliminary understanding of the

materials.

4. Media

The media used include:

1. Laptop

2. LCD

3. Whiteboard

5. Evaluation

Evaluation will be based on the following components:

1. Chapter Report

: 30%

2. Mid Test

: 35%

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The score from each component will be accumulated to be further graded. Grading policy

will be based on the following criteria:

A

:

85 – 100

a. The criteria above are subject to change. If the distribution of students’ score is not

normal, the criteria will be further adjusted.

b. Students with attendance less than 80%

ARE NOT ENTITLED TO A GRADE

.

c. Only 10-minute lateness will be tolerated.

d. Mobile/Cellular phone should be turned off during the session.

e. Plagiarism will not be tolerated and will result in severe penalties.

6. Course Outline

Sessions

Topics

Sources

1

Syllabus overview, introduction to statistics



Syllabus, handout

2

Understanding data



Moore (2000)

3

Measures of central tendency

 Handout



Kranzler & Moursund, 1999, ch.1: Middleness)

4

Measures of dispersion

 Handout

 Kranzler & Moursund, 1999, ch.1: Variability)

5

Data distribution, normal curve, and standard scores.

 Kranzler & Moursund, 1999, ch. 2&3)

6.

Descriptive & Inferential statistics, hypothesis _{testing, Parametric and Non-Parametric Tests}

 Handout

 Field (2005, pp. 63-65)  Coolidge (2000, ch.4 &

5)

7

Correlation: Pearson’s Coefficient

 Handout

 Coolidge (2000, ch.6)



Kranzler & Moursund

(1999, ch. 4)

8

MID-TERM TEST



9

Correlation: Spearman*

 Handout



Kranzler & Moursund

(1999, pp. 130-132)

10

Comparing Means: Independent T-Tests  Handout

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(1999, ch.7)

11

Comparing Means: Dependent or Paired T-Tests

 Handout



Kranzler & Moursund

(1999, ch.7)

12

Chi-Square Test*

 Handout



Kranzler & Moursund

(1999, pp.120-125)

13

Mann-Whitney U Test*

 Handout



Kranzler & Moursund (1999, pp.125-130)

14

More exercises



Relevant sources

15

Review

16

FINAL TEST

7. References

a. Main sources:

Coolidge, F. L. (2000). Statistics: A gentle introduction. London: Sage.

Kranzler, G & Moursund, J . (1999). Statistics for the terrified. (2nd ed.). Upper Saddle River, NJ: Prentice Hall.

b. Other relevant sources:

Field, A. (2005). Discovering statistics using SPSS (2nd ed.). London: Sage.

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SESSIONS

TOPICS

SPECIFIC OBJECTIVES

LEARNING ACTIVITIES

EVALUATION

SOURCES

1 Syllabus overview, introduction to statistics

Students know and agree with the basic rules applied in the course

Students can explain some basic concepts in statistics: its definition, functions, and its relation to quantitative research Introduce the course Overview the syllabus

Questions and answers  Syllabus

 Moore (2000, p. xxv-xxx)

2 Understanding data

Students can explain the basic concepts of data and their components

Discuss some basic concepts of data and what elements constitute a set of data Discuss several types of variables according to their levels of measurements Questions and answers

Students make their own examples of variables on different levels

 Moore (2000) 3

Measures of central tendency

Students can explain the functions of measures of central tendency

Students can calculate the measures of central tendency of some given data

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Discuss some basic concepts of central tendency

Conduct a calculation on measures of central tendency on a set of given data Questions and answers

Written exercises Summary 1

 Handout

 Kranzler & Moursund, 1999, ch.1: Middleness)

4 Measures of dispersion

Students can explain the functions of measures of dispersion

Students can calculate the measures of dispersion of some given data Discuss some basic concepts of dispersion

Conduct a calculation on measures of dispersion on a set of given data Questions and answers

 Handout

 Kranzler & Moursund, 1999, ch.1: Variability)

5 Data distribution, normal curve, and standard scores.

Students can explain the concept of normal distribution and the use of standard scores Students can calculate standard scores

Discuss some basic concepts of data distribution, normal curve, and standard scores Calculate the standard scores of some given data

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 Kranzler & Moursund, 1999, ch. 2&3)

6

Descriptive & Inferential statistics, hypothesis testing, Parametric and Non-Parametric Tests

Students can distinguish descriptive from inferential statistics and parametric from non-parametric tests Students can explain the concept of hypothesis testing and know how to state research hypotheses

Discuss some basic concepts of descriptive & Inferential statistics, hypothesis testing, Parametric and Non-Parametric Tests Formulate research hypotheses

Questions and answers Written exercises Summary 4

 Handout

 Field (2005, pp. 63-65)  Coolidge (2000, ch.4 & 5)

7 Correlation: Pearson’s Coefficient

Students can explain the concept of Pearson’s correlation coefficient Students are able to calculate Pearson’s correlation coefficient Discuss some basic concepts of Pearson’s correlation coefficient Conduct a calculation on Pearson’s correlation coefficient on a set of given data

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 Handout

 Kranzler & Moursund (1999, ch. 4)

8 MID-TERM TEST

9 Correlation: Spearman*

Students can explain the concept of Spearman correlation coefficient

Students can calculate the value of Spearman correlation coefficient from given data Discuss some basic concepts of Spearman correlation coefficient

Conduct a calculation on Spearman correlation coefficient on a set of given data

Questions and answers Written exercises Summary 6

 Handout

 Kranzler & Moursund (1999, pp. 130-132)

10 Comparing Means: Independent T-Tests

Students can explain the concept of independent t-test

Students can conduct an independent t-test on some given data Discuss some basic concepts of Independent T-Tests

Conduct a calculation on Independent T-Tests on a set of given data

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 Handout

 Kranzler & Moursund (1999, ch.7)

11 Comparing Means: Dependent or Paired T-Tests

Students can explain the concept of dependent or paired t-test Students can conduct dependent or paired t-test on some given data Discuss some basic concepts of Dependent or Paired T-Tests Conduct a calculation on Dependent or Paired T-Tests Questions and answers

 Handout

 Kranzler & Moursund (1999, ch.7)

12 Chi-Square Test*

Students can explain the concept of Chi-Square Test Students can conduct Chi-Square Test on some given data Discuss some basic concepts of Chi-Square Test

Conduct a calculation on Chi-Square Test Questions and answers

 Handout

 Kranzler & Moursund (1999, pp.120-125)

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Mann-Whitney U Test*

Students can explain the concept of Mann-Whitney U Test Students can conduct Mann-Whitney U Test on some given data Discuss some basic concepts of Mann-Whitney U Test

Conduct a calculation on Mann-Whitney U Test Questions and answers

 Handout

 Kranzler & Moursund (1999, pp.125-130)

14 More exercises

Students become familiar with types of statistical problems and can select appropriate statistical tests to solve them Do some exercises

Questions and answers Written exercises

 Relevant sources

15 Review

Students can strengthen their understanding on the materials given in one semester Discuss some main points from what have been learned in one semester

Questions and answers Written exercises