Month: February 2026

As a senior in Construction Engineering Management at OSU, I recently had to make a big decision about where I wanted to work after graduation. I was fortunate to receive multiple job offers, and honestly, all of them were strong opportunities. The companies had good reputations, solid project portfolios, and room for growth. But in the end, compensation played a major role in my decision.

One offer stood out because of the overall pay and benefits package. The base salary was noticeably higher than the other offer, but what really made the difference was the total compensation. They offered a stronger 401(k) match, better health insurance coverage, and performance-based bonuses. When I broke it down long term, it wasn’t just about the starting salary — it was about financial stability and future growth.

Compensation motivated my behavior because it directly impacts quality of life, especially right out of college. Student loans, rent, and living expenses add up quickly. Knowing I would start at a higher salary reduced stress and gave me confidence in my financial future. The stronger benefits package also signaled that the company values its employees and is willing to invest in them.

I also thought about equity theory from class. When comparing offers, it was hard to ignore the fact that one company was clearly offering more for similar expectations and responsibilities. That difference influenced how I perceived fairness and opportunity.

In the end, I accepted the higher-paying offer with better benefits. While culture and growth potential mattered, compensation ultimately pushed me toward the decision I felt made the most sense long term. It showed me how powerful total rewards can be in motivating real career choices.

One training I found especially beneficial was my summer internship safety training. It was effective because it was directly connected to the job. The training followed a clear structure and focused on real tasks we would be doing on site. Instead of just listening to lectures, we practiced using equipment and reviewed real safety scenarios. We also received feedback from supervisors, which helped reinforce what we learned. From our lectures, effective training starts with analyzing the job and the employee to make sure the content is relevant. This training did that well because it matched the actual work environment. It also made the material meaningful and easier to remember.

In contrast, I once completed an online compliance training that was not very beneficial. It was mostly slides with little interaction. There were no hands on activities and no real connection to daily job tasks. It felt like something we had to complete rather than something meant to improve performance. Our lecture on evaluating training explains that training should improve learning and job performance, not just completion rates. In this case, it probably did not improve how people performed at work.

Overall, training is most effective when it is relevant, interactive, and clearly connected to job responsibilities. When employees understand why the training matters and have the chance to practice skills, it is much more likely to be successful.

Implicit Bias, Awareness, and Selection Decisions

This week’s materials and my experience with Harvard’s Project Implicit helped me better understand how implicit bias can quietly influence decision-making, even when people believe they are being fair. After completing the Race Implicit Association Test (IAT), my results showed that I was moderately faster at associating White Americans with “good” and Black Americans with “bad.” While this result was uncomfortable to see, it reinforced the idea that implicit bias is often unconscious and shaped by socialization, media exposure, and cultural norms rather than intentional prejudice.

Implicit bias can directly impact the reliability and validity of selection processes, especially in hiring. Reliability refers to consistency in evaluation, while validity refers to whether a process actually measures job-related qualifications. If a hiring manager unknowingly holds implicit racial biases, they may evaluate identical résumés differently based on names, perceived race, or other cues. Research has shown that Black applicants receive fewer callbacks than White applicants with equivalent qualifications, suggesting bias can undermine both fairness and accuracy in selection (Payne et al., 2020). This means organizations may not consistently select the most qualified candidates, weakening the overall effectiveness of the hiring process.

One way to counteract implicit bias is through structured selection systems, such as standardized interview questions and objective scoring rubrics. These reduce the influence of gut feelings and stereotypes by forcing evaluators to focus on job-related criteria. Additionally, increasing awareness through training and self-reflection—like taking the IAT—can help individuals slow down automatic judgments and question their assumptions (Vandiver, as cited in Be Better Blog).

While implicit bias may never fully disappear, acknowledging its presence and actively working against it can improve fairness, decision quality, and trust in organizational systems.

References
Greenwald, A. G., McGhee, D. E., & Schwartz, J. L. K. (1998). Journal of Personality and Social Psychology, 74(6), 1464–1480.
Payne, K., Niemi, L., & Doris, J. M. (2020). Scientific American.
Vandiver, B. J. (2023). Understanding Implicit Bias—and How to Work Through It, Be Better Blog.

As a senior Construction Management major at Oregon State University, I have participated in job interviews at the OSU career fair for the past three years and have received job offers each year. Because of that experience, I have been able to see firsthand what makes interviews effective and what can make them less reliable or useful. Many of the ideas discussed in lecture about reliability, validity, and utility directly reflect what I have observed in real interviews with construction firms.

The most effective interviews I have had were structured and focused on job-related competencies. When interviewers asked similar questions to every candidate, it made the process feel more fair and consistent. This increased reliability because interviewers could compare candidates based on the same criteria rather than personality or first impressions. In contrast, interviews that were very informal or conversational often felt less reliable, since different candidates were asked completely different questions.

Validity was strongest when interview questions related directly to construction scenarios. Behavioral questions such as describing how I handled schedule conflicts, safety concerns, or teamwork issues on past projects allowed me to demonstrate skills that are directly relevant to the job. These questions aligned with course material emphasizing that past behavior is one of the best predictors of future job performance. Interviews that relied on vague questions about “leadership” or “fit” without clear definitions felt less effective and less predictive of actual job success.

Utility is also an important factor, especially in construction where hiring the wrong person can be costly. While structured interviews require more preparation, they ultimately provide better information for hiring decisions and reduce turnover and training costs. Based on my experience, I would advise employers to use structured interviews, standardized rating systems, and questions tied directly to construction responsibilities. Doing so improves fairness, reduces bias, and leads to better hiring outcomes for both the company and the candidate.