Basic_analysis_of_EES_data

Basic statistical analysis of the European Social Survay 2018 data.

Information

Data were taken from the ESS survey: https://www.europeansocialsurvey.org/

Data analysis was carried out at different levels of measurement: nominal, ordinal, quantitative, and quotient.

A corresponding analysis was carried out for each set:

(a) Nominal/ ordinal x nominal/ ordinal variable

Analysis steps: Cross-tabulation with column percentages; test of independence, i.e. chi-squared test, bootstrapped Chi2, Fisher's exact test; a measure of the strength of association, mosaic or bar/column plot by category of the other variable.

Description of variables:

• ordinal variable called "psppipla" - degree of conviction about the impact on the political system (Not at all; Very little; Some; A lot; A great deal)
• nominal variable called "vote01" - did the person vote? (YES, NO)

(b) Nominal/ ordinal x quantitative variable

Descriptive statistics (means, variances, IQR, etc.) by group by category of the second variable; test of independence, i.e. t-student, ANOVA, regression or their non-parametric equivalents; a measure of the strength of association: R2 from regression; box plot or density plot or histogram of a quantitative variable by grouping by category of nominal/order variable

Description of variables:

• independent variable votes: nominal variable called "vote01" - whether the person participates in the election
• dependent variable police: quantitative variable called "trstplc" - how much does the person trust the police (NO 0-10 complete trust)

(c) Quantitative x quantitative variable

Descriptive statistics (mean, variance, IQR, etc.) of both variables; Pearson correlation or R2 from regression; scatter plot with a line of best fit

Description of variables:

• independent variable comp: quantitative variable called "netustm" - how much a person uses the computer (in minutes)
• dependent variable confidence: quantitative variable called "pplhlp" - how much do you think that others are likely to try to be helpful, or are they only concerned about themselves? (people only care about themselves 0-10 people are helpful)

Project was done for the Statistics course 2022/2023 at the Jagiellonian University.