Many psychological constructs of interest to personality psychologists, such as personality, behavior, and emotions, are made up of many variables.
A multiple regression model (reported in Supplementary Table 11) was created to investigate the associations of the six moral foundations with the three constructs of interest: vaccine purity-violation beliefs, vaccine liberty-violation beliefs and vaccine attitudes.
We then co-transformed a plasmid for the transient expression of BxbI, R4 or TP901, together with a transfer plasmid containing attP sites for the corresponding recombinase and engineered genetic constructs of interest.
In addition, the constructs of interest are conceptualised into a pattern of relationships that delineates antecedent and outcome variables in order to examine relationships.
Other cognitive vulnerabilities such as anxiety sensitivity (AS), distress tolerance (DT), and discomfort intolerance (DI) have also been investigated as constructs of interest across anxiety disorders.
Results are discussed with respect to previous work in the field, challenges involved in measuring the constructs of interest, and implications to prevention.
This article discusses the traditional techniques of reliability and validity assessment and briefly presents some new approaches to evaluating the properties of individual measures that are aimed at measuring theoretical constructs of interest.
Such procedures maximize internal validity (i.e., the ability to reach causal conclusions) while sometimes compromising external validity (i.e., the ability to generalize) and construct validity (i.e., the quality of measurement of the theoretical constructs of interest).
A total of 95 nonclinical participants (55% women) completed measures assessing the constructs of interest and participated in quantitative sensory testing using heat and cold stimuli administered by a Medoc Pathway Pain and Sensory Evaluation System.
Three core issues are discussed from an experimental social psychological perspective: First, this paper focuses on the importance of a scientific, theory-driven approach to test causal relationships between key constructs of interest in the domain of human machine interaction; second, it addresses the need for advancement in the realm of measurement, e.g., in terms of validity.
The literature was reviewed to evaluate existing COAs and identify constructs of interest.
