Analysis of Stress of Employees: Detailed Description of the Information Set Essay Example
Analysis of Stress of Employees: Detailed Description of the Information Set Essay Example

Analysis of Stress of Employees: Detailed Description of the Information Set Essay Example

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  1. Idaho: ID is a distinct variable type with a nominal degree of measurement. It provides an identification number for the entire dataset.
  2. Age: Age represents the continuous variable type that measures the age of the individuals in the sample. It is measured on a ratio scale.
  3. Gender: Gender categorizes the population into males and females. It is a nominal degree of measurement and a categorical variable type.
  4. Produ: Produ stands for Productivity Measure. It is a continuous variable type with a ratio scale.
  5. Satis: Satis stands for Job Satisfaction Measure. It is a categorical variable type with an ordinal scale.
  6. Optim: Optim stands for Overall Optimism Measure. It is a categorical variable type with an ordinal scale.
  7. Openn: Openn stands for Communication Openness Measure. It is a categorical variable type with an ordinal scale.
  8. Stress: Stress stands for Stress Scale. It is a categorica
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    l variable type with an ordinal scale.

    • Resilience: Resilience refers to the Resilience graduated scale.

    This step contains categorical informations with an ordinal graduated table for measuring.

  9. Balan: Balan represents the Stress/Resilience balance step. It contains uninterrupted informations with an ordinal graduated table for measuring.
  10. Agegrp: Agegrp represents the Age Group step. It contains categorical informations with an ordinal measurement.
  11. Ill: Ill represents Extended Sick Leave last 6 months. It contains categorical informations with a nominal measurement.
  12. This dataset includes a combination of Qualitative and Quantitative information. Quantitative information is further categorized into Nominal, Ordinal and Binary types, while Qualitative information can be either Continuous or Discrete. Nominal information does not have a built-in order or superior sequence for

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its Variables.

The examples of an information set can include Gender, Race, and other similar variables. In an Ordinal information set, the variables are in an ordered series such as Blood Group and Performance. On the other hand, a Binary information set consists of variables that have only two options, such as Pass/Fail and Yes/No.

Discrete information, also referred to as Attribute information, can be categorized into distinct groups. It is based on counts and has a finite number of possible values that cannot be subdivided meaningfully. An example of discrete information is the number of parts damaged in cargo. On the other hand, continuous information can be measured on a continuum or scale.

Continuous information refers to numerical values that can be further subdivided into smaller and smaller increments, such as length, size, and breadth. The provided information set appears to pertain to a study on employees within an organization. It includes various aspects of an employee's profile, such as age, gender, productivity level, job satisfaction rating, overall optimism rating, communication openness rating, stress level, resiliency level, balance between stress and resilience, age group, and the number of extended sick leaves taken by the employee in the last 6 months.

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