Back to the main page
**Syllabus QDA II.** (winter 2014)

**1. class (8/10/2014)** Revision of what we have done in Design of Quantitative Research I.

Univariate descriptive statistics for different type of variables (FREQUENCIES, DESCRIPTIVES), see **2. Descriptive statistics - univariate analysis**

Bivariate (and multivariate) analysis using crosstabulation (CROSSTABS), see **3. Contingency tables: bivariate analysis of categorical data**

Data **ISSP 2007 - Leisure Time and Sports, the Czech Republic (HiSo version, English)** (last revision for HiSo 27/5/2014)

Czech questionnaire (it applies to original Czech variable names), Basic questionnaire in English (only the core of the module variables) More information on ISSP.org (You can download whole international data set)
**Syntax QDA2. 8/10/2014**

No homework

1. Simple elaboration (mostly revision from QDA I.), i.e. 3-fold Crosstabulation with controlling factor, see QDA I. handout

Data transformation: simple recording (ordinal variable into dichotomous one).

Data

Simple elaboration (mostly revision from QDA I.):

1. Crosstabulation

2. Association / correlation coefficents within CROSSTABS: Goodman&Kruskal's (GAMMA), Kendaull's Tau B (BTAU), Spearman's Rho (CORR).

see QDA I. handout

Data

1. once more some notes on simple Elaboration (using association and correlation coefficients), see QDA I. handout

2. Introduction into the Inferential statistics (1): Standard error and Confidence intervals of a numerical variables, i.e. mean. (EXAMINE), see

Data

1. A note on recoding variables

2. Introduction into the Inferential statistics (2): Standard error and Confidence intervals for mean, see

Bivariate analysis - CI of mean in subgroups (EXAMINE, using Descriptives in ONEWAY)

Graphical visualization of CI (GRAPH ERRORBAR)

Data

Confidence interval of mean, see

Graphical visualization of CI (GRAPH ERRORBAR)

Multivariate (3-fold) analysis, i.e. means in subgroups (with a controlling variable)

Data

A note on recoding variables (a trick to quickly reverse a scale)

Confidence interval of proportion (%), see

Data

You can also use Web calculator

Testing statistical hypotheses, introduction (1): - Tests for numeric variables: Z-test, T-Tests and simple Analysis of Variance (One Way ANOVA) - - Tests for categorical variables: Chi-square goodness of fit test (1 dimensional - Equality hypothesis)

Statistical tests for categorical variables:

- 1 dimensional Chi-square goodness of fit test - Specific values hypothesis (i.e. for time comparison)

- 2 dimensional Chi-square goodness of fit test - Homogeneity/independency in contingency table

Relationships/associations within contingency table: Adjusted residuals and Sign scheme.

Odds Ratio (not only for mobility tables)

Direct Standardization (weighting):

- for assessment of historical changes (controlling for structural changes)

- within contingency table (controlling for a intervening factor). See (

Read our courses presentations, handouts and other materials
QDA I. and QDA II. Basic introduction into logic of descriptive, bivariate and simple multivariate statistics is well explained in:
Babbie, Earl. 1995. |