Alberto Lusoli
March 02, 2022
38

# CMNS201 - Lab 4. SPSS Univariate Analysis

March 02, 2022

## Transcript

2. ### 1. Calendar 2. Previous lecture recap 3. Descriptive statistics: Univariate

analysis 4. Exercise INDEX
3. ### Still having problems installing SPSS? ◦ Book an appointment for

oﬃce hour (Thursday, 12.30 - 1.20) ◦ Tech problem? Email [email protected] No extensions for technical issues. Photo: Startup Weekend Hackathon. Nov.2014 …BEFORE WE START
4. None
5. ### Photo: Startup Weekend Hackathon. Nov.2014 TOPICS COVERED SO FAR ▪

Import a dataset in SPSS ▪ Set variable parameters (Name, Type, Label, Measure) ▪ Recoding variables
6. ### Photo: Startup Weekend Hackathon. Nov.2014 LAUNCH SPSS ▪ Go to

Canvas ◦ Assignments > SPSS Lab 4 - Descriptive statistics - Univariate analysis ◦ Download the Week-4.sav ﬁle ▪ Open the ﬁle on SPSS ◦ Launch SPP ▪ File > Open > Data… ▪ Find and open the Week-4.sav ﬁle
7. ### Photo: Startup Weekend Hackathon. Nov.2014 CENTRALITY AND DISPERSION 8 How

to calculate the main central tendency and dispersion measures in SPSS. Centrality: 1. Mean (average) 2. Median 3. Mode Dispersion: 1. Standard deviation 2. Min and max 3. Range (Max - Min)

SPSS

SPSS
10. ### Photo: Startup Weekend Hackathon. Nov.2014 ∑ [tempo] 1239 number of

songs in the dataset. Population, or n sum of all values in the tempo colum CALCULATING CENTRALITY AND DISPERSION IN SPSS Numeric variables
11. ### Photo: Startup Weekend Hackathon. Nov.2014 the tempo of the 602nd

song (ordered from the slowest to the fastest) Why 602? CENTRALITY AND DISPERSION 601 songs median (song n.602) 601 songs Numeric variables fastest slowest
12. ### Photo: Startup Weekend Hackathon. Nov.2014 The most “popular” tempo. CALCULATING

CENTRALITY AND DISPERSION IN SPSS Numeric variables
13. ### Photo: Startup Weekend Hackathon. Nov.2014 Tempo of the fastest and

of the slowest songs CALCULATING CENTRALITY AND DISPERSION IN SPSS Numeric variables
14. ### Photo: Startup Weekend Hackathon. Nov.2014 CALCULATING CENTRALITY AND DISPERSION IN

SPSS Max - Min Numeric variables
15. ### Photo: Startup Weekend Hackathon. Nov.2014 QUESTION: WHAT % OF SONGS

HAVE TEMPO > 147 BPM?
16. ### Photo: Startup Weekend Hackathon. Nov.2014 122 147 97 72 47

172 197 QUESTION: WHAT % OF SONGS HAVE TEMPO > 147 BPM?
17. ### Photo: Startup Weekend Hackathon. Nov.2014 122 147 97 72 47

172 197 QUESTION: WHAT % OF SONGS HAVE TEMPO > 147 BPM?
18. ### Photo: Startup Weekend Hackathon. Nov.2014 WHAT ABOUT STRING (TEXT) VARIABLES?

Try to calculate centrality and dispersion of the variable “Genre”. Centrality: 1. Mean (average) 2. Median 3. Mode Dispersion: 1. Standard deviation 2. Min and max 3. Range (Max - Min)
19. ### Photo: Startup Weekend Hackathon. Nov.2014 PERCENT Vs VALID PERCENT Percent:

% calculated on the entire dataset population (n). In this case, 1,239 Valid Percent: % calculated on the entire dataset population (n) minus missing values. In this case, 1,239 - 34 = 1,205
20. ### Photo: Startup Weekend Hackathon. Nov.2014 MULTIPLE ANALYSES AT ONCE Analyzing

more than one variable at once it might be useful to conduct comparative analysis. Especially if the variables share the same scale and measurement unit. To analyze more than one variables at once, simply add more variables to the “Variable” box in the Frequencies window. This week’s exercise: Analyze loudness and energy. Take a screenshot of the Frequency table and upload it on Canvas.