“Furr & Bacharach (2014). Scaling.” - Article summary
Scaling refers to assigning numerical values to psychological attributes. Individuals in a group should be similar to each other in the regard of sharing a psychological feature. There are rules to follow in order to put people in categories:
- People in a category must be identical with respect to the feature that categorizes the group (e.g. hair colour).
- The groups must be mutually exclusive
- The groups must be exhaustive (e.g. everyone in the population can fall into a category).
Each person should fall into one category and not more than one. If numerals are used to indicate order, then the numerals serve as labels indicating rank. If numerals have the property of quantity, then they convey information about the exact amounts of an attribute. Units of measurement are standardized quantities. The three levels of groups are identity (1), order (2) and quantity (3).
There are two possible meanings of the number zero. It can be the absolute zero (1) (e.g. a reaction time of 0ms) or it can be an arbitrary quantity of an attribute (2). This is called the arbitrary zero. The arbitrary zero does not represent the absence of anything, rather, it is a point on a scale to measure that feature. A lot of psychological attributes use the arbitrary zero (e.g. social skill, self-esteem, intelligence).
An unit of measurement might be arbitrary because unit size may be arbitrary (1), some units of measurement are not tied to any one type of object (2) (e.g. centimetres can measure anything with a spatial property) and some units of measurement can be used to measure different features of the same object (3) (e.g. weight and length).
One assumption of counting is additivity. This requires that unit size does not change. This would mean that an increase of one point is equal at every point. This is not always the case, as an IQ test asks increasingly difficult questions to increase one point of IQ. Therefore, the unit size changes.
Counting only qualifies as measurement if it reflects the amount of some feature or attribute of an object. There are four scales of measurement:
- Nominal scale
This is used to identify groups of people who share a common attribute that is not shared by people in other groups (e.g. ‘0’ for male and ‘1’ for female). It assesses the principle of identity. - Ordinal scale
This is used to rank people according to some attribute. It is used to make rankings within groups and cannot be used to make comparisons between groups, as this would require quantity. It assesses the principle of identity and order. - Interval scale
This is a scale that is used to represent quantitative difference between people. It assesses the principle of identity, order and quantity. - Ratio scales
This is a scale that has an absolute zero point. It satisfies the principle of identity, order, quantity and has an absolute zero.
Psychological attributes might not be able to be put on a ratio scale, as the measurements might have an absolute zero, but many psychological attributes do not.
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Scientific & Statistical Reasoning – Summary interim exam 3 (UNIVERSITY OF AMSTERDAM)
- Discovering statistics using IBM SPSS statistics by Andy Field, fifth edition – Summary chapter 6
- Discovering statistics using IBM SPSS statistics by Andy Field, fifth edition – Summary chapter 8
- Discovering statistics using IBM SPSS statistics by Andy Field, fifth edition – Summary chapter 9
- Discovering statistics using IBM SPSS statistics by Andy Field, fifth edition – Summary chapter 11
- Foster (2010). Causal inference and developmental psychology.” – Article summary
- “Pearl (2018). Confounding and deconfounding: Or, slaying the lurking variable.” - Article summary
- “Shadish (2008). Critical thinking in quasi-experimentation.” - Article summary
- “Kievit et al. (2013). Simpson’s paradox in psychological science: A practical guide.” - Article summary
- Dienes (2008). Understanding psychology as a science.” – Article summary
- “Marewski & Olsson (2009). Formal modelling of psychological processes.” - Article summary
- “Dennis & Kintsch (2008). Evaluating theories.” - Article summary
- "Furr & Bacharach (2014). Estimating and evaluating convergent and discriminant validity evidence.” - Article summary
- “Furr & Bacharach (2014). Estimating practical effects: Binomial effect size display, Taylor-Russell tables, utility analysis and sensitivity / specificity.” – Article summary
- “Furr & Bacharach (2014). Scaling.” - Article summary
- “Mitchell & Tetlock (2017). Popularity as a poor proxy for utility.” - Article summary
- “LeBel & Peters (2011). Fearing the future of empirical psychology: Bem’s (2011) evidence of psi as a case study of deficiencies in modal research practice.” - Article summary
Scientific & Statistical Reasoning – Summary interim exam 5 (UNIVERSITY OF AMSTERDAM)
- "Furr & Bacharach (2014). Estimating and evaluating convergent and discriminant validity evidence.” - Article summary
- “Furr & Bacharach (2014). Estimating practical effects: Binomial effect size display, Taylor-Russell tables, utility analysis and sensitivity / specificity.” – Article summary
- “Furr & Bacharach (2014). Scaling.” - Article summary
- "Cohen on item response theory” – Article summary
- Cohen on the science of psychological measurement” - Article summary
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Scientific & Statistical Reasoning – Summary interim exam 3 (UNIVERSITY OF AMSTERDAM)
This bundle contains everything you need to know for the fifth interim exam for the course "Scientific & Statistical Reasoning" given at the University of Amsterdam. It contains both articles, book chapters and lectures. It consists of the following materials:
...Scientific & Statistical Reasoning – Summary interim exam 5 (UNIVERSITY OF AMSTERDAM)
This bundle contains everything you need to know for the fifth interim exam for the course "Scientific & Statistical Reasoning" given at the University of Amsterdam. It contains both articles, book chapters and lectures. It consists of the following materials:
...Scientific & Statistical Reasoning – Article summary (UNIVERSITY OF AMSTERDAM)
This bundle contains all the summaries for the course "Scientific & Statistical Reasoning" given at the University of Amsterdam. It contains the following articles:
- “Borsboom & Cramer (2013). Network analysis: An integrative
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