Frameworks and Measures
There are currently over 200 measures available in the API.
Select from the frameworks below to view the measures they contain:
Big Five Personality
The Big Five, also known as the Five Factor Model, is one of the dominant factor models of personality in psychology today. It proposes that every aspect of how we see each other and ourselves can be organized into five theoretically independent clusters of characteristics, called traits. Each trait is made up of a number of narrower characteristics, called facets.
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A list of the included measures and definitions is below. For the comprehensive overview of this framework, see the Big Five Personality documentation.
DISC Personality
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Developed by Harvard-educated psychologist William Moulton Marston, the DISC model demonstrates how individual differences in emotional and communication styles affect behaviour in everyday social interactions and relationships.
DISC is defined by four DISC styles, D, I, S and C, each representing a style of interacting with one’s environment. A person’s score on the four DISC styles is derived from their scores on two dimensions of the DISC axis: Bold vs. Reserved; and People-focused vs. Task-focused. The Receptiviti API measures these two axes and produces a score for each of the four component measures, Bold, Reserved, People, and Task.
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DISC has been most commonly applied to workplace interactions: how people prefer to go about their work, relate to coworkers, and seek out an appropriate place in their workplace hierarchies. Each of the four DISC styles represent a style of interacting with one’s environment.
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A list of the included measures and definitions is below. For the comprehensive overview of this framework, see the DISC Personality documentation.
Needs and Values
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Receptiviti’s Needs and Values framework comprises 17 measures that evaluate aspects of what motivates a person’s preferences, habits, and decision-making. Each of the 12 Needs measures should be interpreted as traits that can impact decisions and can be predictive of their consumption preferences and habits. Each of the 5 Values measures should be interpreted as factors that motivate and influence a person’s decision-making.
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A list of the included measures and definitions is below. For the comprehensive overview of this framework, see the Needs and Values documentation.
Emotions​
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Receptiviti’s emotion insights engine, SALLEE, understands 14 emotions plus sentiment, enabling you to discern how your customers, employees and users feel about your products, services, and topics of importance.
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A list of the included measures and definitions is below. For the comprehensive overview of this framework, see the SALLEE Emotions documentation.
Cognition​
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The Cognition measures quantify levels of multiple aspects of cognitive processing and analytical thinking, and make it possible to analyze how people think, digest information, problem-solve, and make decisions.
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A list of the included measures and definitions is below. For the comprehensive overview of this framework, see the Cognition documentation.
Social Dynamics​
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The Social Dynamics framework is comprised of seven measures that evaluate a number of important aspects of how people are focused on themselves, focused on other people, whether they communicate with authenticity, clout, hesitation, the degree to which they communicate formally or informally, and more.
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A list of the included measures and definitions is below. For the comprehensive overview of this framework, see the Social Dynamics documentation.
Drives​
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Receptiviti’s Drives framework contains five measures that provide insight into what motivates people. Drives can be strong predictors of individual or group behaviour, offering insight into whether a person is driven by a need for achievement and self actualization, a need for domination, a need for reward, a need to avoid risk, or if they are driven by a need to engage in risk-seeking behaviour.
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A list of the included measures and definitions is below. For the comprehensive overview of this framework, see the Drives documentation.
Communication Dynamics (LIWC Extension​)
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Receptiviti’s LIWC Extension framework provides measures focused on understanding communication dynamics and determinants of interpersonal support. These measures are paired to review several opposing forces in communication style. For example, the demonstration of a low or high amount of empathy, or the use of agentic (ambitious) versus communal (caring) language.
These measures are helpful in the analysis of conversational language in a therapeutic scenario, in interviews, as well as in one-way communication such as a job postings or Corporate Social Responsibility reports.
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A list of the included measures and definitions is below. For the comprehensive overview of this framework, see the LIWC Extension documentation.
Toxicity​
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The Toxicity framework can be used to detect the likelihood of toxic language in your data. It can detect the probability that your language sample contains threats, hate speech, offensive language, and general toxicity. In addition to these four categories, we also provide 17 Toxicity measures that can help you identify the specific source of toxicity in your data.
The Toxicity framework helps to identify language that might be considered obscene, insulting, or offensive, including lewdness, descriptions of sex or desires, direct insults to the reader of the message, or excessive swear words in a context where they aren’t welcome.
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A list of the included measures and definitions is below. For the comprehensive overview of this framework, see the Toxicity documentation.
LIWC​
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Linguistic Inquiry and Word Count (LIWC) is the gold standard for research in the field of Language Psychology. It was created by Dr. James W. Pennebaker at the University of Texas, to examine the therapeutic value of writing by capturing psychologically-relevant linguistic features of text. The various dimensions of language included in LIWC have been validated and addressed in published research, and LIWC has been the basis for thousands of academic publications in a variety of fields covering topics such as gender differences, power dynamics, language, and personality, as well as consumer insights, fake news and conspiracy, and interpersonal relationships, among others.
Using the Receptiviti API, you can programmatically access LIWC, which classifies language into 94 psychologically-relevant categories. In multiple experimental settings, LIWC has demonstrated the ability to identify patterns in social relationships, internal cognitive processes, motivations, thinking styles and much more.
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For the list of LIWC dimensions and a comprehensive overview, see the LIWC documentation.
Mental Wellness​
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Passively measure a wide range of predictive and informative indicators of patient progression and quality of care by analyzing text, calls and chat interactions.
If you're a healthcare provider or digital health platform, contact us to learn more about our mental wellness frameworks and measures.