Related Experiment Video
Updated: Jun 4, 2026

06:57
Modeling Verbal Behavior Deficits with the Stimulus Control Ratio Equation, SCoRE
Published on: May 14, 2019
Catalog of scaled verbal material.
1Southern Methodist University, 75275, Dallas, Texas.
Memory & Cognition
|February 3, 2011
Summary
This review summarizes 172 studies on scaled verbal materials like letters and words. It categorizes research by material type and scaling information for better understanding of verbal material research.
Area of Science:
- Cognitive Psychology
- Linguistics
- Educational Psychology
Background:
- Scaled verbal materials are crucial for studying human cognition and learning.
- Existing research presents diverse methods for scaling verbal stimuli.
- A comprehensive overview is needed to synthesize findings on verbal material scaling.
Purpose of the Study:
- To systematically review and index studies involving scaled verbal materials.
- To categorize these studies based on material type and scaling methodology.
- To provide a structured database for researchers in related fields.
Main Methods:
- A systematic search identified 172 relevant studies from English language sources.
- Data abstracted included material type, subject characteristics, task, and data format.
- Studies were indexed by material type (letters, CVCs, words) and scaling information (objective, subjective, production).
Main Results:
- The indexed studies cover a range of scaled verbal materials.
- Categorization revealed diverse approaches to objective, subjective, and subject-produced scaling.
- The review provides a structured overview of the existing literature.
Conclusions:
- This indexed collection facilitates deeper analysis of scaled verbal material research.
- Understanding different scaling methods is key to interpreting study findings.
- The database serves as a valuable resource for future research in psycholinguistics and education.
Related Concept Videos
Scaling
In designing and analyzing filters, resonant circuits, or circuit analysis at large, working with standard element values like 1 ohm, 1 henry, or 1 farad can be convenient before scaling these values to more realistic figures. This approach is widely utilized by not employing realistic element values in numerous examples and problems; it simplifies mastering circuit analysis through convenient component values. The complexity of calculations is thereby reduced, with the understanding that...
Components of Language
Language, whether spoken, signed, or written, consists of specific components: lexicon and grammar. The lexicon is the vocabulary of a language, comprising its words. Grammar is the set of rules used to convey meaning through the lexicon. For example, English grammar adds “-ed” to most verbs to indicate past tense. Words are formed by combining phonemes, which are the basic sound units of a language. Different languages have different sets of phonemes (e.g., “ah” vs. “eh”). Phonemes combine to...
Ordinal Level of Measurement
The way a set of data is measured is called its level of measurement. Correct statistical procedures depend on a researcher being familiar with levels of measurement. For analysis, data are classified into four levels of measurement—nominal, ordinal, interval, and ratio.
Data measured using an ordinal scale are similar to nominal scale data, but there is one major difference. The ordinal scale data can be ordered. An example of ordinal scale data is a list of the top five national parks in the...
Data measured using an ordinal scale are similar to nominal scale data, but there is one major difference. The ordinal scale data can be ordered. An example of ordinal scale data is a list of the top five national parks in the...
Nominal Level of Measurement
The way a set of data is measured is called its level of measurement. Correct statistical procedures depend on a researcher being familiar with levels of measurement. Not every statistical operation can be used with every set of data. For analysis, data are classified into four levels of measurement—nominal, ordinal, interval, and ratio.
The data that cannot be measured but can be grouped into categories fall under the nominal level of measurement. Data that is measured using a nominal scale is...
The data that cannot be measured but can be grouped into categories fall under the nominal level of measurement. Data that is measured using a nominal scale is...
Stereotype Content Model
The Stereotype Content Model (SCM) was first proposed by Susan Fiske and her colleagues (Fiske, Cuddy, Glick & Xu, 2002; see also Fiske, 2012 and Fiske, 2017). The SCM specifies that when someone encounters a new group, they will stereotype them based on two metrics: warmth—or that group’s perceived intent, and how likely they are to provide help or inflict harm—and competence—or their ability to carry out that objective. Depending on the warmth-competence categorization, a person will feel...
Encoding
Information enters the brain through encoding, which is the input of information into the memory system. Once sensory information is received from the environment, the brain labels or codes it. The information is then organized with similar information and connected to existing concepts. Encoding occurs through automatic processing and effortful processing.
Automatic processing involves the encoding of details like time, space, frequency, and the meaning of words, usually done without conscious...
Automatic processing involves the encoding of details like time, space, frequency, and the meaning of words, usually done without conscious...

