Do we need statistic quality criteria?
Criterions of Measurement
Why do we need criterions of measurement?
What problems may this application includes?
Do we need statistic quality criteria?
Table of Contents
Chapter 1 - Introduction 4
Chapter 2 – Criterions of Measurements 5
1.Objektivitity 5
2.Reliability 5
3.Validity 6
3.1 Construct Valdity………………………………………………………………………...
3.2 Criterion Validity…………………………………………………………………………
3.2.1 Convergent Validity…………………………………………………………………
3.2.2 Discriminant Validity………………………………………………………………..
3.2.3 Concurrent Validity………………………………………………………………… 3.3 Content Validity…………………………………………………………………………. 3.4 Ecological Validity 6
4. Acceptably………………………………………………………………………………….
5. Economic……………………………………………………………………………………..
Chapter 3 – Feedback/Result…………………………………………………………………
Chapter 1 – Introduction
Why do we need criterions of measurement?
With the quantification of relevant study characteristics with questionnaires, tests or observations the research aims to provide the comparability of data securely. The intention is to compare statistical analysis methods and dependencies. With the transformation into quantitative variables a rationalization effect is desired. In this way extensive data can be reduced to its core. To check the comparability required for that, quality criteria have been developed. These are according to current interpretation higher if the standardization of the research’s content, the course of the investigation and the setting is easily realizable.
There are five different types of criterions of measurement. These five criterions of measurement are divided into two groups. The main group and the sub group.
Objectivity, Reliability and Validity belong to the main group.
Acceptability and Economy are the two parts of the subgroup.
This paper is focused on the main group.
Chapter 2 – Criterions of Measurements
1.Objectivity
Objectivity is the extent to
Why do we need criterions of measurement?
What problems may this application includes?
Do we need statistic quality criteria?
Table of Contents
Chapter 1 - Introduction 4
Chapter 2 – Criterions of Measurements 5
1.Objektivitity 5
2.Reliability 5
3.Validity 6
3.1 Construct Valdity………………………………………………………………………...
3.2 Criterion Validity…………………………………………………………………………
3.2.1 Convergent Validity…………………………………………………………………
3.2.2 Discriminant Validity………………………………………………………………..
3.2.3 Concurrent Validity………………………………………………………………… 3.3 Content Validity…………………………………………………………………………. 3.4 Ecological Validity 6
4. Acceptably………………………………………………………………………………….
5. Economic……………………………………………………………………………………..
Chapter 3 – Feedback/Result…………………………………………………………………
Chapter 1 – Introduction
Why do we need criterions of measurement?
With the quantification of relevant study characteristics with questionnaires, tests or observations the research aims to provide the comparability of data securely. The intention is to compare statistical analysis methods and dependencies. With the transformation into quantitative variables a rationalization effect is desired. In this way extensive data can be reduced to its core. To check the comparability required for that, quality criteria have been developed. These are according to current interpretation higher if the standardization of the research’s content, the course of the investigation and the setting is easily realizable.
There are five different types of criterions of measurement. These five criterions of measurement are divided into two groups. The main group and the sub group.
Objectivity, Reliability and Validity belong to the main group.
Acceptability and Economy are the two parts of the subgroup.
This paper is focused on the main group.
Chapter 2 – Criterions of Measurements
1.Objectivity
Objectivity is the extent to