1. LangTest: An easy-to-use stats calculator Punjaporn P.

2. Class B performed better Summarise data (20 to 1)
Student
Class A
Class B 1 4 8 2 3 5 6 7 9 10 11 12 13 14 15 16 17 18 19 20
4, 5
Class B performed better
Summarise data (20 to 1)
Identify relationships
Basic calculation
Class A’s average score
Class B’s average score
Compare 2 average scores
Reduce numbers
More simple, understandable, and meaningful

3. Purpose: To compare 2 average scores
Student
Class 1
Class 2 1 8 9 2 6 3 4 5 7 10 11 12 13 14 15 16 17 18 19 20
Purpose: To compare 2 average scores
Question: Is there a difference between 2 average scores?

4. Difference >2 2 Y N Y N #datasets
Normal distribution & equal variances?
Paired data?
Paired t-test
Independent samples t-test
Mann Whitney U test
>2 2 Y N Y N

5. Independent samples t-test
Compare 2 means (2 independent groups)
Assumptions:
Normal distribution (test of normality)
Equal variances (test for equality of variances)
Values: t-value, p-value
Related value: effect size

6. WWW Functions Write yours Commercial packages Programming language
Web-based stats tools
Photo:

7. Excel Assumptions: a normal distribution, equal variances
Values: t-value, p-value
Related value: effect size
0.05

8. SPSS
???

9. SPSS

10. SPSS Assumptions: a normal distribution, equal variances
Values: t-value, p-value
Related value: effect size

11. WWW

12. WWW Assumptions: a normal distribution, equal variances
Values: t-value, p-value
Related value: effect size

13. R
???

14. Not require extra preparation
Advantages
Drawbacks
Excel
– functions
– type yours
Easy
Variety of tools
Not require to learn new method
Flexible
Poor
Human error
SPSS
Commonly-used, similar feel to excel
Easy to find resource
Well-structured report
Output is kept separate from the data
Large learning load
Require to prepare data
Online
Limited to certain stats
Provide only numerical values
R (Programming
language)
Free
Full-functions
High-quality of figures and plots
Large online community
Growing community of users, contributing to useful packages
Large learning load - programming
Difficult to learn
Very complex data structures
Require a good understanding of different data types
Require top skills for high performance
Give values needed
Accurate
Not require extra preparation
Provide graphical data
Practical, understandable

15. LangTest
Developed by Associate Professor of Applied Linguistics
Based on R-programming language
Simple to advanced statistics calculations
To summarise and describe data
To identify relationships
Give values needed, also related values
Accurate
Not require extra preparation
Provide graphical data
Practical and understandable
NOT require special skills
Cut & Paste!

16. LangTest Exploratory Factor Analysis Basic Statistics Calculator
Cronbach's Coefficient Alpha
Basic Statistics Calculator
Learning by Doing Stats (t-test Tutorial)
Comparing Two Independent Samples
Comparing Paired Samples
Effect Size Calculator 1 (Means, SDs, Ns)
ANOVA
Non-parametric Tests
Correlation
Regression Analysis
Chi-square Test
McNemar's Test and Cochran's Q Test
Cohen's Kappa and Other Interrater Agreement Measures
Cluster Analysis
Exploratory Factor Analysis
Principal Component Analysis
Correspondence Analysis
Tree-based Models
Structural Equation Modeling (SEM)
Binary (1-0) Data Converter
Screening Data
Classical Test Theory (Item Analysis)
Criterion-referenced Testing (Item Analysis)
Generalizability Theory
Rasch Model (1PL IRT)
Item Response Theory
Meta-analysis
Text Analysis

17. Basic calculations #data set Purpose Statistics Summarise data Mean 1
Summarise data by giving a central estimate Sd
Summarise extent of distribution of data
Identify relationships
t-test 2
Compare 2 means
t-value, p-value
Correlations
Strength of relationships
r-value, p-value

18. Langtest: http://langtest.jp/
mean, Sd
Basic Statistics Calculator

19. Langtest: http://langtest.jp/
t-test
Comparing Two Independent Samples
Comparing Paired Samples
Assumptions: normal distribution, equal variances
Values: t-value, p-value
Related value: effect size

20. Langtest: http://langtest.jp/
Correlations
Correlation
Pearson’s correlation
Spearman’s rank

21. N, mean, sd, med, min, max, range, skewness, kurtosis Histogram
Basic
statistics
Distribution
and test of
normality
Stats,
p-value
Specific
graphical
data
Graphical
method
Numerical
N, mean, sd,
med, min, max,
range,
skewness,
kurtosis
Histogram
Box-plot
Q-Q plot
K-S test
Wilk’s test -
Correlation
yes
r, p
Scatter
plot

22. yes Histogram Box-plot K-S test Wilk’s test Lavene’s test t, p Mean
Basic
statistics
Distribution
and test of
normality
Test for
equality of
variances
Stats,
p-value
Specific
graphical
data
Effect
size
Related values
Graphical
method
Numerical
Ind.
t-test
yes
Histogram
Box-plot
K-S test
Wilk’s test
Lavene’s
test
t, p
Mean
Diff. ES:
d, g
Corr. ES:
r, z, OR,
Log OR
Mann-Whitney
U-test
(normality
not assumed)
Welch (equal
Paired
Changes of
individual
Wilcoxon
signed-rank
test (normality