Week 3 - Intro on fundamentals of data analysis

Question 1

What kind of data would need to be removed before performing the analysis

Answer 1

1. Ineligibe respondents (sampling frame error)
2. Lack of cooperation (nonresponse error)
3. incomplete surveys (nonresponse error)
4. inconsistencies and ambiguities in the raw data
5. Omissions (response errors).

Question 2

What can you do to identify the errors and anomalies in data screening before the analysis

Answer 2

1. You can look at the data distribution (bell curve or not)
2. check all the answers one by one
3. make box-plot
4. look at the frequency they asnwered strongly agree or strongly disagree

Question 3

What is weighting data

Answer 3

a procedure done to give more weight in the analysis to some of the data on the premise that some respondent will be harder to get but they represent more in the target population. It is to get a more representative data.

Question 4

What are the data analysis techniques seen in class

Answer 4

1. Nominal
2. Ordinal
3. Interval
4. Ratio

Question 5

What is nominal data ?

Answer 5

Data with a name. For example the eye color

Question 6

What is ordinal data ?

Answer 6

Data in which there is a natrual order but the interval is not clear for example the level of education

Question 7

What is interval data ?

Answer 7

Data in which the interval between the answers is correct. for example 1-2 ans 2-3 in the case of temperatures

Question 8

What is ratio data ?

Answer 8

It is the same as interval but there is a true 0 so the ratio can be calculated

Question 9

What is a non-parametric test ?

Answer 9

a test in which the median is informative

Question 10

What is a parametric test ?

Answer 10

a test in which the median is informative

Question 11

You would use ___ data analysis to know the association between two variable

Answer 11

bivariate

Question 12

You would use ___ data analysis for data screening

Answer 12

univariate

Question 13

What are inferential statistics ?

Answer 13

To make a judgement - observe difference between
groups, draw inferences (i.e. conclusion beyond the data
itself)

Question 14

What is multivariate data analysis ?

Answer 14

The analysis of more than two variable at the same time : Procedures for analysing the association between two or
more sets of measurements on each object in one or
more samples of objects

Question 15

What are the two key type of multivariate analysis ?

Answer 15

1. Analysis of dependance

2. Analysis of interdependence

Question 16

What is the analysis of dependance ?

Answer 16

Where one (or more) variables are dependent
variables, to be explained or predicted by others

Question 17

What is the analysis of interdependance ?

Answer 17

No variables thought of as “dependent”. This is where factor analysis is

Question 18

Factor analysis is a ___variate analysis and ___ technique

Answer 18

multivatiate

interdependance