What we have done QDA I. 2015 summer semester

Back to the main page       Syllabus QDA I. (summer 2014)

1. class (18/2/15)   There was no class due to the bomb alarm.
No homework except for filling in knowledge of survey design by reading handouts and literature on metodykv.wz.cz and/or elswhere.

2. class (25/2/14)  
0. About QDA I. course - introduction (what we will do, requirements, communication etc.)   more in Syllabus QDA I.
1. Revision of subject matter of Design of Quantitative Research (research question, operacionalisation, verification of hypothesis, design of survey)  Entrance test in Design of Quantitative Research.   To fill in the knowledge read handouts and literature on metodykv.wz.cz.
2. Quantitative data - introduction: Types of data; data matrix (2-mode data, from survey)   see handout (in Czech);
3. Descriptive statistics - exploratory univariate analysis   see handout (still partly in Czech);
4. Introduction into the programme SPSS and very basic datamanagement (variable name, labels).  See 1. Introduction to SPSS/PSPP (1.) (program environment, data input, labelling variables, basic settings)  
watch also a video Intro to SPSS (the very basics) and read SPSS Statistics for Students: The Basics (very helpful guide at SSCC University of Wisconsin - Madison)
In detail, read:  chap. 15. Using SPSS for Windows  (simple manual for SPSS: data management, frequencies, correlation, crosstabulation) in Bryman, A. 2008. Social research methods. Oxford: Oxford University Press.  online resources (data, tests)
No homework

3. class (4/3/15)   1. Using programme SPSS - basic data-management using menu (labels, missing values); 2. Using commands in Syntax: descriptive statistics for categorical data (FREQUENCIES);
See handout 1. Introduction to SPSS/PSPP (1.)     You can also watch a video Intro to SPSS (the very basics) and read SPSS Statistics for Students: The Basics (very helpful guide at SSCC University of Wisconsin - Madison)
Syntax QDA1 4/3/2015
Homework assignment no. 1   (joined with No. 2)

4. class (11/3/15)  
1. Identifying and defining MISSING VALUES;
2. Simple descriptive statistics (1) - Central tendency measures (Modus, Mean, Median), and Variance/ Standard deviation.
DATA: TV&Books, FHS 2015      Questionnaire (2014) (ppt)
Syntax QDA1 11/3/2015   
So far there is old Syntax QDA1 19/3/2014
Homework assignment no. 1+2   

5. class (18/3/15)  
1. Missing values - how to detect inappropriate values and set them to MV   See the presentation 2. Missing Values: identification, assigning and analysis
2. Simple descriptive statistics (1):
- Central tendency measures (Modus, Mean, Median),
- Variance / Standard deviation     See the presentation 3. Descriptive statistics an exploratory univariate analysis
Syntax 18/3/2015   DATA: TV&Books, FHS 2015      Questionnaire (2014) (ppt)
Homework assignment no. 3   (added 21/3/2015)

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

Babbie, Earl. 1995. The Practice of Social Research. Wadsworth Publishing; 7 edition.
   Elementary Analyses Chapter 15, Pp. 375-394  (descriptive statistics, groups comparison, bivariate analysis)
   The Elaboration Model Chapter 16, Pp. 395-412  (multivariate analysis, logic of elaboration)
Elaborating bivariate relationships (pp. 161-170) in de Vaus, D., A. 1985. Surveys in Social Research, First Edition, Hemel Hempstead/Winchester, Mass. : Allen & Unwin Ltd.   (excellent simple examples of multivariate analysis with 2x2x2 tables and principle of elaboration) This is highly recommended text.
Cross-tabulations and More on tables (selected parts of chapters 1 and 2) in Treiman, D. J. 2009. Quantitative data analysis: doing social research to test ideas San Francisco: Jossey-Bass.  (excellent comment and examples of interpreting crosstabulation, elaboration, interaction/additive effects)  This is highly recommended text.
Quantitative data analysis   Chapter 14 in Bryman, A. 2008. Social research methods. Oxford: Oxford University Press.  online resources (data, tests)  (descriptive statistics as well as testing hypothesis)




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