Final answer:
Quantitative methods in job analysis consist of tools like questionnaires and surveys that provide numeric, countable data for statistical analysis, enabling researchers to discern patterns and correlations relevant to job requirements.
Step-by-step explanation:
When conducting job analysis, quantitative methods involve collecting numeric data that can be statistically analyzed. This includes administering a questionnaire with closed-ended questions such as yes-or-no or multiple-choice that are structured to gather quantitative data. This type of data is numeric and countable, allowing researchers to calculate statistics such as percentages and correlations.
Additionally, quantitative sociology integrates statistical methods, like surveys with large numbers of participants, to identify patterns of human behavior. In the context of job analysis, this might involve surveys that collect demographic data or other relevant numerical information, such as the amount of time spent on particular tasks by employees.
Analyzing this data can include looking at response frequencies or correlations between different job-related variables. Furthermore, anthropologists and medical researchers might utilize existing datasets, like census data, to understand demographics relevant to job analysis.