Evaluation Of Training Program At An Insurance Company

Evaluation of Training Program at an Insurance Company

The insurance company has engaged you to design a comprehensive data collection plan to evaluate its new-hire training program. The primary focus is on enhancing understanding of the training efficiency and employee retention. Your proposal should clearly outline the types of data to be collected, the tools for data collection, the target sample, and the technological methods suitable for data gathering, supported by scholarly and peer-reviewed sources.

Data to be Collected

The data collection will encompass both quantitative and qualitative information to comprehensively assess the training program’s effectiveness and identify factors influencing agent retention. Quantitative data will include metrics such as agent turnover rates, training completion rates, and feedback scores from surveys. Qualitative data will involve perceptions and attitudes toward the training provided, collected through open-ended survey responses and interviews. This dual approach ensures a nuanced understanding of training impacts and areas needing improvement.

Constructing a Data Collection Tool with a Likert Scale

A structured survey instrument will be developed featuring five statements related to the training program, rated on a 5-point Likert scale. The statements will evaluate perceptions regarding the relevance, clarity, supportiveness, and overall effectiveness of the training. Below are sample statements:

1. The training content effectively covers all aspects of the policies offered by the company.
2. The trainers provided sufficient support and clarity during the training sessions.
3. The duration of the training program is adequate for understanding the material.
4. The training prepared me well for my responsibilities as an insurance agent.
5. I feel confident in my ability to perform my job after completing the training.

The Likert scale categories will range from “Strongly Agree” to “Strongly Disagree,” with ratings assigned numerically from 5 to 1. This enables quantifiable analysis of perceptions and attitudes, facilitating trend identification and statistical evaluation.

Classification of Data and Its Justification

The data collected via the Likert-scale survey will be primarily quantitative, as it yields numerical scores indicating levels of agreement or disagreement. Open-ended responses and interview transcripts will provide qualitative insights into individual experiences and perceptions. Quantitative data will help measure overall satisfaction and identify patterns, while qualitative data will elucidate underlying reasons behind the quantitative findings, informing targeted improvements.

Necessity of Data

This data is vital for understanding the training program’s strengths and weaknesses, including its relevance, clarity, and effectiveness from the agents’ perspectives. It also helps identify factors contributing to high turnover rates, enabling the development of evidence-based strategies to enhance retention and reduce costs associated with hiring and training new agents. Collecting comprehensive data ensures that decisions about modifying training practices are grounded in empirical evidence.

Sample Population and Data Collection Method

The target sample will include recent graduates from the training program, specifically new insurance agents who have completed the training within the past year. This population provides insights into the immediate effects of training and factors influencing offshore job retention. The sample size will be determined using stratified random sampling to ensure representation across different geographic regions and training cohorts.

The data collection method will involve administering electronic surveys via email, utilizing online survey tools to maximize reach and convenience. Additionally, a subset of participants will participate in semi-structured interviews conducted via video conferencing platforms. This mixed-method approach enhances data richness and reliability.

Technology Options for Data Collection and Justification

For digital data collection, platforms such as Qualtrics or SurveyMonkey will be employed. These tools support customizable Likert-scale surveys, offer high response rates, and facilitate data export for analysis. Their user-friendly interfaces and compatibility with various devices ensure accessibility, critical for reaching a geographically dispersed workforce (Rogelberg, 2017). The choice of online survey tools is also supported by research indicating increased response rates and trustworthiness compared to paper-based surveys in organizational settings (Dillman, Smyth, & Christian, 2014).

To analyze qualitative data from interviews, NVivo software may be utilized for efficient coding and thematic analysis (Bazeley, 2013). This technology supports qualitative research rigor, enabling the extraction of meaningful insights from open-ended responses.

In summary, these technological options are appropriate because they provide secure, scalable, and accessible means of collecting and analyzing data in real-time, enabling ongoing evaluation and improvement of the training program (Krosnick & Presser, 2010).

References

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