Related Experiment Video
Updated: Jul 3, 2025

Development of a Virtual Reality Assessment of Everyday Living Skills
Published on: April 23, 2014
Development and validation of the Work Capital Scale
1Department of Psychology, University of Florida.
Abstract:
Vocational psychologists have called for greater attention to different forms of capital, any resource or asset that confers profit and power, to better understand the vocational development process, particularly for those who lack resources and power. However, previous research has had several conceptual and measurement limitations, such as the use of less inclusive frameworks; a focus on more privileged populations; and the overuse of categorical, dummy coded, and objective measures. To address these limitations, the present study aimed to (a) develop an inclusive, subjective, continuous, and multidimensional work capital scale and (b) validate the new scale with representative samples of working adults and job seekers across two studies. We developed a 16-item four-factor Work Capital Scale that consists of Economic Work Capital, Human Work Capital, Social Work Capital, and Cultural Work Capital. Scores from the Work Capital Scale were invariant across household income, social class, gender, race, and employment status. We found that the correlational model fit best to the data and provided evidence for convergent and divergent validity by relating the subscales to subjective social class, objective socioeconomic indicators, and existing measures of capital. The present study advances theory and research in work capital and provides a tool for practitioners to use. (PsycInfo Database Record (c) 2024 APA, all rights reserved).
More Related Videos
Related Concept Videos
Quantifying Work
Reliability and Validity
Data Validation
Key parameters for method validation include:
Testing a Claim about Standard Deviation
The hypothesis testing for the claim of population standard deviation (or variance) requires the data and samples to be random and unbiased. The population distribution also must be normal. There is no specific requirement on the sample size as the estimation is based on the chi-square distribution.
As a first step, the hypothesis (null and alternative) concerning the claim about...
Empirical Method to Interpret Standard Deviation
This rule is used widely in statistics to calculate the proportion of data values...
Design Consideration
The factor of safety is another key...

