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**Syllabus QDA I.** (summer 2014)

**1. class (18/2/14)** Revision of subject matter of Design of Quantitative Research I. Design of Quantitative Research/Základy kvantitativního sociologického výzkumu (research question, operacionalisation, hypothesis, design of survey) **Test in Design of Quantitative Research.**
** About QDA1 course and Test on "quantitative survey design"**

No homework except for filling in knowledge of survey design by reading handouts and literature on metodykv.wz.cz.

1. Types of quantitative data - introduction, see handout (in Czech); 2. Data matrix (2-mode data, from survey); 3. introduction into the programme SPSS and very basic datamanagement (variable name, labels)

See 1.

watch also a video

In detail, read: chap. 15.

No homework

No homework

Labelling and descriptive statistics; collecting DATA:

For handling with this dataset see our

1. Identifying and defining MISSING VALUES; 2. Simple descriptive statistics (1) - Central tendency measures (Modus, Mean, Median), and Variance/ Standard deviation.

DATA:

DATA:

1. Identifying and defining MISSING VALUES; 2. Simple descriptive statistics (2) - Central tendency measures (Modus, Mean, Median), and Dispersion - Variance/ Standard deviation.

DATA:

1. Identifying and defining MISSING VALUES; 2. Simple descriptive statistics (2) - Central tendency measures and Dispersion (Variance/ Standard deviation).

DATA:

1. Identifying and defining MISSING VALUES; 2. Simple descriptive statistics (2) - Central tendency measures and Dispersion (Variance/ Standard deviation).

Data

1. Varia: LIST (showing data) and ADDing VALUES

2. Recoding variables: a) general principles, b) collapsing ratio-numeric variable into categories using 3 principles based on: Equidistance, b. Quantiles (terciles), c. Theoretical reasons/common sense.

3. Bivariate analysis (intro - 1.): Means of ratio (numeric) variable in categories of categorical variable (this was not fully practised during the class).

Data

Bivariate analysis (2.):

1. Means of ratio (numeric) variable in categories of categorical variable (MEANS),

2. Contingency table for Categorical X Categorical variables - crosstabulation (CROSSTABS), intro 1.

For details and principles of interpretation see pp. 385-389 in

Data

Bivariate analysis (2.):

1. Means of ratio (numeric) variable in categories of categorical variable (MEANS),

2. Contingency table for Categorical X Categorical variables - crosstabulation (CROSSTABS), intro 1.

For details and principles of interpretation see pp. 385-389 in

Data

1. Practising bivariate analysis (mostly repeating the previous classes): Means of ratio in subgroups (MEANS) and Contingency table (CROSSTABS).

2. Multivariate analysis: 3-rd level of sorting data in contingency tables and Elaboration procedure - introduction.

3. Coefficients of association / ordinal correlation.

Read more in Babbie, Earl. 1995. *The Practice of Social Research*. Wadsworth Publishing; 7th. ed.:

- **introduction of multivariate analysis** (**pp. 390-393** in chapter 15) - **Elementary Analyses**. Pp. 375-394

- for introduction to elaboration procedure (**pp. 400-409** in chapter 16) - **The Elaboration Model**. Pp. 395-412.

- for introduction to elaboration procedure and interaction effects (**pp. 22-28** in chapter 2) - **More on tables** (Chap. 2 in Treiman 2009)
**Syntax QDA1 7/5/2014**
**Homework assignment no. 6** (added 19/5/2014)

Data

1. Practising Bivariate analysis (mostly repeating the previous classes): Means in subgroups (MEANS) and Contingency table (CROSSTABS).

2. Multivariate analysis: 3-rd level of sorting data in contingency table and Elaboration procedure - introduction.

3. Coefficients of association / ordinal correlation and their use in Elaboration.

For introduction to elaboration procedure (multivariate contingency tables with three variables and interaction effects) read more in

See presentations 3.

Data a)

Data b)

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)

Practising Multivariate analysis of categorical data using CROSSTABS and new data ISSP 2007 - Leisure and sport:

1. Third level of sorting data in contingency tables and Elaboration procedure

2. Coefficients of association / ordinal correlation and their use in Elaboration.

3. Test using ISSP 2007 data (crosstabulation, coefficients of association/ordinal correlation and principle of elaboration)

For introduction to elaboration procedure (multivariate contingency tables with three variables and interaction effects) read more in

See new presentations heavily updated on 3.

Don't forget to write **seminar paper** demonstrating your analytical work. See Assignment and instruction of QDA seminar paper.

Read our course presentations, handouts and other materials and basic introduction into logic of descriptive, bivariate and simple multivariate statistics:
Babbie, Earl. 1995. |