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Retail Employee Culture and Psychometric Data
Retail & Consumer Behavior
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About
Statistical and psychological survey results gathered from 33,110 employees within a major retail store chain are presented. The data is suitable for identifying the influence of diverse personal and sociodemographic characteristics on an individual's work values and job satisfaction. Utilising an MBTI-like test methodology, this dataset allows for the creation of models capable of predicting employee engagement levels and overall predisposition to work within a retail environment.
Columns
The primary file,
retail_salespeople_statistic.csv, includes 74 fields detailing responses and characteristics:- q1-q62: Answers to the core Menteora questionnaire questions. Responses are coded numerically (e.g., 1 for the first answer selected, 2 for the second).
- q63-q67: Responses to questions focused on employee values, which feature multiple-choice options.
- q68-q74: Sociodemographic and job-related information. This includes age, gender, marital status, dependents, financial obligations, the respondent's job position, and their working period in the company. A separate schema file is available providing the text for each question and its answer choices.
Distribution
The information is delivered primarily in a CSV data file format. The dataset consists of 33,110 records, corresponding exactly to the number of culture survey questionnaires collected from retail employees. Each record contains the full set of answers and characteristics fields (74 fields in total). Details regarding the specific file size in bytes are not provided.
Usage
This data product is highly suitable for statistical modelling and human resources analytics. Ideal applications include:
- Developing predictive models to forecast employee engagement and work fulfillment based on psychometric and demographic profiles.
- Analysing correlations between sociodemographic traits (such as age or marital status) and observed work values.
- Evaluating the effectiveness of internal culture surveys and psychodiagnostic tools in a large-scale retail workforce context.
- Studying factors that influence job satisfaction within the retail sector.
Coverage
The data reflects responses collected from employees across a chain of retail stores, encompassing a total of 33,110 participants. The scope includes detailed sociodemographic variables like age, gender, marital status, and financial obligations. Specific geographic locations or the exact time frame of the survey deployment are not detailed.
License
Attribution-NonCommercial 4.0 International
Who Can Use It
- Data Scientists: To build machine learning models focused on employee retention and performance prediction.
- HR Departments: To gain insights into staff culture, values, and factors driving job satisfaction within large organisations.
- Organisational Behaviour Researchers: For studying the influence of individual differences on workplace values in the retail industry.
Dataset Name Suggestions
- Retail Employee Culture and Psychometric Data
- Work Values and Engagement Dataset (Retail Staff)
- MBTI-Like Retail Employee Survey Data (33k Records)
Attributes
Original Data Source: Retail Employee Culture and Psychometric Data
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