Laura Kornberg
IBCOM year 1
Overview Stats week by week
Week 1:
Unit of Analysis: the ‘who’ or the ‘what’ one is analyzing
Levels of measurement: Nominal: categorization into groups, Nominal+oridnal= qualitative
No meaningful ranking of categories
Ordinal: Meaningful ranking along a given dimension
Distance between categories unequal
Interval: Meaningful ranking along a given dimension
Distance between categories is equal Interval+ratio= quantitative
Ratio: All properties of interval
Absolute and meaningful zero
Univariate: one variable
Bivariate: 2 variables
multivariate: more than 2 variables
Measures of central tendency: 1. Mean (interval/ratio): average =M
2. The median (ordinal & interval, ratio): also called 50 percentile.
3. Mode: the category with the largest amount of cases
HOW TO PRODUCE BAR CHART SPSS:
Analyze Descriptive statistics Frequencies… *insert variables* charts bar chart
Week 2:
Make a scatterplot on SPSS:
Graphs Legacy Dialogs Scatter/Dot simple scatter
Calculate Pearson’s r on SPSS:
Analyze Correlate Bivariate Pearson
Use pearsons if ratio and interval variable
Make a new variable on SPSS:
Transform Recode into different variable follow the steps. Afterwards give value labels in
variable view.
Independent variable: Cause , x-axis, colom
Dependent Variable: Effect, y-axis, row
Interpretation Pearsons r:
0.00 – 0.30: weak correlation/effect
0.30 – 0.60: moderate correlation/effect
0.60 – 0.80: strong correlation/effect
0.80 – 1.00: very strong correlation/effect
Week 3:
1
, Laura Kornberg
IBCOM year 1
Creating a crosstab on SPSS:
Analyze Descriptive Statistics Crosstabs independent in column, dependent in row Cells
Column percentages.
2
IBCOM year 1
Overview Stats week by week
Week 1:
Unit of Analysis: the ‘who’ or the ‘what’ one is analyzing
Levels of measurement: Nominal: categorization into groups, Nominal+oridnal= qualitative
No meaningful ranking of categories
Ordinal: Meaningful ranking along a given dimension
Distance between categories unequal
Interval: Meaningful ranking along a given dimension
Distance between categories is equal Interval+ratio= quantitative
Ratio: All properties of interval
Absolute and meaningful zero
Univariate: one variable
Bivariate: 2 variables
multivariate: more than 2 variables
Measures of central tendency: 1. Mean (interval/ratio): average =M
2. The median (ordinal & interval, ratio): also called 50 percentile.
3. Mode: the category with the largest amount of cases
HOW TO PRODUCE BAR CHART SPSS:
Analyze Descriptive statistics Frequencies… *insert variables* charts bar chart
Week 2:
Make a scatterplot on SPSS:
Graphs Legacy Dialogs Scatter/Dot simple scatter
Calculate Pearson’s r on SPSS:
Analyze Correlate Bivariate Pearson
Use pearsons if ratio and interval variable
Make a new variable on SPSS:
Transform Recode into different variable follow the steps. Afterwards give value labels in
variable view.
Independent variable: Cause , x-axis, colom
Dependent Variable: Effect, y-axis, row
Interpretation Pearsons r:
0.00 – 0.30: weak correlation/effect
0.30 – 0.60: moderate correlation/effect
0.60 – 0.80: strong correlation/effect
0.80 – 1.00: very strong correlation/effect
Week 3:
1
, Laura Kornberg
IBCOM year 1
Creating a crosstab on SPSS:
Analyze Descriptive Statistics Crosstabs independent in column, dependent in row Cells
Column percentages.
2
