📄 social_science

Factors Determining the Effectiveness of Skill Development Programs Using Partial Least Squares Structural Equation Modeling

This study utilizes Partial Least Squares Structural Equation Modeling on data from 630 Indian trainees to identify that Assessment Methodology, Context Linkages, Trainees' Empowerment, Trainers' Responsibility, and Facilitating Conditions collectively explain 64.4% of the variance in the effectiveness of skill development programs, with Assessment Methodology emerging as the strongest predictor.

Original authors: Ananta Narayana, Utkarsh Kumar Verma, Uma shankar Yadav

Published 2026-07-08

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CC BY 4.0

Original authors: Ananta Narayana, Utkarsh Kumar Verma, Uma shankar Yadav

Original paper licensed under CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/). ✨ This is an AI-generated explanation of the paper below. It is not written or endorsed by the authors. For technical accuracy, refer to the original paper. Read full disclaimer

Imagine India as a massive, bustling construction site. The country has a huge workforce of young people ready to build the future (the "demographic dividend"). But to build a skyscraper, you don't just need workers; you need them to know how to use the tools, follow the blueprints, and work together.

This research paper is like a quality inspection report for one of India's biggest construction training projects: the Pradhan Mantri Kaushal Vikas Yojana (PMKVY). The government sends thousands of young people to training centers to learn new skills, but the researchers wanted to know: What actually makes these training programs work well, and what makes them fail?

To find the answer, the authors didn't just guess. They acted like detectives, interviewing 630 trainees across different cities in Uttar Pradesh. They used a sophisticated statistical tool (PLS-SEM) to weigh the importance of different factors, much like a chef tasting a soup to see which ingredient makes it delicious.

Here are the five key ingredients they found that determine whether a skill program is a success or a flop:

1. The "Taste Test" (Assessment Methodology)

The Finding: This was the most critical factor.
The Analogy: Imagine a driving school where the final test is just a multiple-choice quiz about traffic laws. You could memorize the answers and pass, but you still wouldn't know how to drive.
What the paper says: The study found that training programs work best when the "test" at the end actually looks like the real job. If a trainee is learning to weld, they shouldn't just answer questions about welding; they should actually weld something. When the assessment is a real-world "taste test" rather than a theoretical quiz, the training becomes effective.

2. The "Local Map" (Context Linkages)

The Finding: Training must fit the local neighborhood.
The Analogy: Teaching someone to surf in a desert town is a waste of time, even if the surfing lessons are perfect. You need to teach them about sandcastles and heatstroke instead.
What the paper says: A training program fails if it teaches skills that no one in that specific town needs. Success happens when the curriculum is connected to the local industries. If a town has many small factories, the training should focus on factory skills, not just generic theory.

3. The "Captain's Wheel" (Trainees' Empowerment)

The Finding: Trainees need to feel in charge of their own learning.
The Analogy: Think of a passenger on a bus who is just told to sit still versus a co-pilot who helps steer the ship. The co-pilot cares more, pays more attention, and learns faster.
What the paper says: When trainees are allowed to give feedback, choose some learning paths, and feel their voice matters, they become active participants rather than passive listeners. This "empowerment" makes them more motivated to finish the course and use what they learned.

4. The "Coach's Heart" (Trainers' Responsibility)

The Finding: The quality and attitude of the teacher matter immensely.
The Analogy: You can have the best playbook in the world, but if the coach is late, rude, or doesn't know the game, the team will lose.
What the paper says: It's not just about the trainer knowing the subject; it's about their responsibility. Are they punctual? Do they give clear feedback? Do they care? The study found that when trainers are dedicated and professional, the trainees' success skyrockets.

5. The "Road Conditions" (Facilitating Conditions)

The Finding: The environment needs to support learning.
The Analogy: You can't run a marathon if the road is full of potholes, the water stations are empty, and the weather is freezing.
What the paper says: Even the best teacher and the best student will struggle if the "road" is broken. This includes having working computers, functioning machinery, clean classrooms, and getting stipends (allowances) on time. If the infrastructure is shaky, the whole program stumbles.

The Big Picture

The researchers combined all these five factors into a single model. They found that these five ingredients together explain about 64% of why a skill program succeeds or fails.

The Takeaway: It's not enough to just open a training center and hand out certificates. To truly help young people get jobs, the program needs a real-world test, local relevance, empowered students, dedicated teachers, and good infrastructure.

The paper concludes that by fixing these five areas, the government and training centers can turn the "construction site" of India's workforce into a well-built, functioning skyscraper.

Technical Summary: Factors Determining the Effectiveness of Skill Development Programs Using Partial Least Squares Structural Equation Modeling

Problem Statement and Research Context
India faces a critical juncture in leveraging its demographic dividend, where a young workforce offers potential for economic growth but requires substantial investment in human capital to avoid becoming a liability of unemployment and social unrest. While the Government of India's flagship initiative, the Pradhan Mantri Kaushal Vikas Yojana (PMKVY), aims to provide industry-relevant vocational training and certification, significant gaps persist in implementation effectiveness, particularly in states with diverse socioeconomic dynamics like Uttar Pradesh.

Existing literature has largely focused on macro-level policy design or post-training employment outcomes, leaving a significant gap in understanding the micro-level factors that determine program success on the ground. Persistent issues such as poor contextualization of training materials, limited industry connectivity, inconsistent trainer quality, and inadequate post-training support challenge the efficacy of these initiatives. This study addresses the specific research question: What are the determinants of the effectiveness of PMKVY in providing its beneficiaries with significant results in Uttar Pradesh?

Methodology
The study employs a quantitative research design utilizing Partial Least Squares Structural Equation Modeling (PLS-SEM) via SmartPLS Version 4.0. This method was selected for its suitability in handling complex relationships, non-normal data distributions, and predictive modeling with medium-sized samples.

Data Collection: Primary data was gathered through a structured questionnaire administered to 630 trainees across 800 distributed surveys (78.75% response rate) from PMKVY-affiliated Pradhan Mantri Kaushal Kendra (PMKK) centers. The sample was stratified across four zones of Uttar Pradesh (Eastern, Western, Central, and Bundelkhand) to ensure regional diversity.
Variables: The study constructs a model with one dependent variable, Skill Development (SD), and five independent predictor variables:
1. Assessment Methodology (AM): Techniques for measuring skill acquisition.
2. Context Linkages (CL): Alignment of training with local industry needs and socioeconomic realities.
3. Trainees' Empowerment (TE): The degree of learner autonomy, participation, and feedback mechanisms.
4. Trainers' Responsibility (TR): The professionalism, pedagogical adaptability, and ethical conduct of instructors.
5. Facilitating Conditions (FC): Infrastructure, digital access, and administrative support systems.
Analysis: The analysis proceeded in two stages: (1) Measurement model assessment to establish reliability (Cronbach's Alpha, Composite Reliability) and validity (Convergent Validity via AVE, Discriminant Validity via HTMT ratio); and (2) Structural model assessment to test the hypothesized paths and determine the explanatory power ( $R^2$ ) of the model.

Key Results
The empirical analysis confirmed that all five hypothesized constructs are significant positive predictors of Skill Development effectiveness. The structural model demonstrated strong explanatory power, with the five determinants collectively explaining 64.4% of the variance in Skill Development outcomes ( $R^2 = 0.644$ ).

The specific path coefficients and significance levels are as follows:

Trainees' Empowerment (TE): $\beta = 0.546$ ( $p = 0.006$ ), identified as the strongest predictor.
Context Linkages (CL): $\beta = 0.523$ ( $p = 0.000$ ).
Trainers' Responsibility (TR): $\beta = 0.522$ ( $p = 0.004$ ).
Facilitating Conditions (FC): $\beta = 0.457$ ( $p = 0.000$ ).
Assessment Methodology (AM): $\beta = 0.429$ ( $p = 0.002$ ).

All hypotheses (H1 through H5) were supported, indicating that a holistic approach integrating learner agency, contextual relevance, instructional quality, infrastructure, and robust assessment is essential for program success.

Theoretical and Practical Contributions

Theoretical Significance: The study integrates a multidisciplinary theoretical framework, bridging Human Capital Theory, Constructivist and Situated Learning Theories, Adult Learning Theory (Andragogy), Empowerment Theory, Pedagogical Content Knowledge (PCK), Systems Theory, and the Resource-Based View (RBV). It empirically validates these theories within the context of large-scale, government-sponsored vocational training in a developing economy, moving beyond traditional input-output models to a multidimensional understanding of training effectiveness.
Practical Implications: The findings offer actionable insights for policymakers and program administrators (e.g., NSDC, State Skill Missions):
- Assessment Reform: Shift from theoretical testing to job-aligned, performance-based, and simulation-driven assessments to enhance certification credibility.
- Regional Customization: Move away from "one-size-fits-all" curricula by collaborating with local industry bodies to tailor content to specific district-level market demands.
- Learner-Centric Design: Institutionalize empowerment strategies (mentoring, peer learning, feedback loops) to improve retention, particularly for first-generation learners and marginalized groups.
- Trainer Accountability: Implement rigorous pedagogical training, ethical codes, and performance-linked incentives for trainers.
- Infrastructure Optimization: Ensure functional labs, reliable digital access, and streamlined administrative processes (e.g., stipend disbursement) to minimize friction in the learning process.

Limitations and Scope
The authors acknowledge that the study's scope is limited to Uttar Pradesh, which may affect the generalizability of findings to other Indian states with different demographic or industrial profiles. Additionally, the cross-sectional nature of the data captures perceptions at a single point in time, precluding analysis of long-term skill retention or employment trajectories. Future research is suggested to include longitudinal designs, multi-state comparisons, and the incorporation of additional variables such as employer feedback and digital access metrics.

Conclusion
This research provides a data-driven framework demonstrating that the effectiveness of skill development programs is not solely a function of enrollment numbers but is driven by a complex interplay of assessment quality, contextual relevance, learner empowerment, trainer responsibility, and infrastructural support. By validating these determinants, the study offers a robust basis for refining the design and implementation of PMKVY and similar initiatives to better align with evolving job market demands and enhance employability.