WORDSTAT CONTENT ANALYSIS DICTIONARIES
Many WordStat users develop their own content analysis dictionaries. Such dictionaries are usually customized to the type of data being analyzed and to the variables that need to be measured. However, having access to existing dictionaries from others authors may be useful in many ways. It allows the analyst to easily assess other dimensions and quickly get a different perspective on his text data. It also makes his results comparable to those published in other studies. Such dictionaries may also represent a great source of inspiration for developing one’s own dictionary.
We provide here a list of content analysis dictionaries available in WordStat .CAT format. Most of those are free, while others are available at a low cost either from Provalis Research or from their authors. Click on the dictionary names below to get access to a more detailed description of those dictionaries as well as instruction on how to download and use them.
Brand Personality Dictionary
Brand Personality Dictionary was designed by Opoku, Abratt and Pitt (2006) using Aaker’s five brand personality dimensions as well as 42 personality trait norms. The dictionary may be used to investigate content related to any kind of brand or brand situation.
We provide access to the WordStat Sentiment Dictionary which consisting of more than 7100 words to assess positive and negative tones in text data as well as a domain specific sentiment dictionary: the Loughran & McDonald Financial Sentiment Dictionary.
Regressive Imagery Dictionary – By Colin Martindale (FREE)
The Regressive Imagery Dictionary is a content analysis coding scheme designed to measure primordial vs. conceptual thinking. The English version of the RID is composed of about 3200 words and roots assigned to 29 categories of primary process cognition, 7 categories of secondary process cognition, and 7 categories of emotions. The dictionary is also available in French, Portuguese, Swedish, German and Latin.
Forest Value Dictionary – By David N. Bengston & Zhi Xu (FREE)
The Forest Value Dictionary is composed of 612 words and phrases. It is a classification system that identifies four broad categories of forest values: economic/utilitarian, life support, aesthetic, and moral/spiritual values.
Corporate Social Responsibility – By Pencle and Malaescu (2016) (FREE)
The Corporate Social responsibility dictionary is composed of 1241 words and phrases. It is a classification system that identifies four dimensions in CSR: Employee, Human Rights, Environment, Social and Community.
Communication Vagueness Dictionary – By J.H. Hiller
This dictionary measures 10 manifestation of vagueness in communication defined by its author as a ‘state of mind’ of a communicator who does not sufficiently command the facts, knowledge, or understanding required for maximally effective communication.
Body Type Dictionary – by Andrew Wilson (FREE)
This dictionary attempt to operationalize Fisher and Cleveland’s (1958) theory of body-boundary strength which identified two broad personality types: “High Barrier” individuals, who have a confident sense of their own self boundaries, and “Low Barrier” individuals, who have a less clear sense of their distinct identity.
Laver & Garry Dictionary of Policy Position – by M. Laver and J. Garry (FREE)
The Laver & Garry dictionary has been developed to estimates the policy positions of political actors in the United Kingdom by comparing their speeches and written documents to key words found in the British conservative and Labour manifestos of 1992. The dictionary contains 415 words and word patterns stored in 19 categories.
Wordnet based categorization dictionary
This categorization dictionary is derived from the WordNet® database to provides basic categorizations of noun, verbs, adjectives and adverbs currently found in the WordNet 2.0 database into 44 syntactic category and logical groupings.
Roget categorization dictionary
This WordStat dictionary based on the well know Roget thesaurus categorizes 100,685 words and phrases into 1042 categories (6 broad classes).