Belajar SEM - Studi Kasus Latihan 1

Summary

The transcript discusses a case study analyzing the influence of job satisfaction on employee performance. It focuses on using structural equation modeling (SEM) and smartPLS to evaluate latent variables like job satisfaction and employee performance. These are assessed through indicators like achievement, affiliation, power for job satisfaction, and individual competence, management support, and organizational well-being for performance. The methodology includes preparing assessment instruments with a Likert scale to measure data, ultimately using reflective and formative models to analyze the relationships between the variables. The study aims to assess how these factors influence employee outcomes.

Takeaways

• 😀 The focus of the script is on analyzing the influence of job satisfaction on employee performance using a case study and structural equation modeling (SEM).
• 😀 Job satisfaction and employee performance are identified as latent variables, which cannot be directly measured but can be assessed through indicators.
• 😀 Job satisfaction is assessed through indicators like achievement, affiliation, and power, while employee performance is assessed through individual competence, management support, and organizational support.
• 😀 Job satisfaction follows a reflective measurement model, while employee performance follows a formative measurement model.
• 😀 The script emphasizes the need for an instrument to measure job satisfaction and employee performance, with indicators like achievement, affiliation, power, individual competency, management support, and organizational support.
• 😀 The assessment uses a Likert scale ranging from strongly agree to strongly disagree to collect data on job satisfaction and employee performance indicators.
• 😀 Raw data is collected and then converted into nominal data for analysis, where responses are categorized as strongly agree, agree, neutral, disagree, or strongly disagree.
• 😀 The method proposed for analysis is Structural Equation Modeling (SEM), which will be applied using the SmartPLS software.
• 😀 The approach focuses on evaluating how job satisfaction influences employee performance, with specific attention to the measurement models of each.
• 😀 The provided case study involves analyzing a real-life scenario with measurable indicators, aiming to evaluate and identify relationships between variables like job satisfaction and employee performance.

Q & A

What is the main focus of the workshop discussed in the script?

The main focus of the workshop is examining the influence of job satisfaction on employee performance using structural equation modeling (SEM) and analyzing indicators for both variables.

What are the key variables in the study presented in the script?

The key variables are job satisfaction and employee performance, both of which are latent variables that are measured through various indicators.

What indicators are used to measure job satisfaction in the study?

The indicators used to measure job satisfaction include achievement, affiliation, and power.

What indicators are used to measure employee performance?

The indicators used to measure employee performance are individual competence, management support, and organizational support.

How are job satisfaction and employee performance modeled in the study?

Job satisfaction is modeled using a reflective model, while employee performance is modeled using a formative model.

What is the role of structural equation modeling (SEM) in this study?

Structural equation modeling (SEM) is used as the method for analyzing the relationships between job satisfaction and employee performance and evaluating their influence.

How is data for job satisfaction and employee performance collected in the study?

Data is collected through survey instruments that include questions on the indicators for job satisfaction and employee performance, using a Likert scale ranging from strongly agree to strongly disagree.

What is the purpose of using a Likert scale in the survey?

The Likert scale is used to measure respondents' levels of agreement with various statements, providing a quantitative representation of job satisfaction and employee performance.

Why are job satisfaction and employee performance considered latent variables in the study?

Job satisfaction and employee performance are considered latent variables because they cannot be directly measured; instead, they are assessed through observable indicators.

How does the measurement of job satisfaction differ from employee performance in the study?

Job satisfaction is measured reflectively, meaning its indicators reflect the overall satisfaction, while employee performance is measured formatively, meaning its indicators contribute to defining the performance.