The Reliability and Validity of the Power-Load-Margin Inventory: A Rasch Analysis
Patrick C Hardigan1, Stanley R Cohen, Kathleen P Hagen
1Patrick C. Hardigan, Nova Southeastern University, 3200 S. University Drive, Fort Lauderdale, FL 33328, USA, Patrick@Nova.edu.
Summary
The Power-Load-Margin Inventory (PLMI) effectively measures student academic resilience. This new instrument shows promise for assessing student support needs in higher education.
Area of Science:
- Medical Education
- Psychometrics
- Student Support
Background:
- Academic success is influenced by the balance between student stress and strength, termed 'margin'.
- A validated instrument is needed to quantify this margin in health professional students.
Purpose of the Study:
- To evaluate the psychometric properties of the newly developed Power-Load-Margin Inventory (PLMI).
- To assess the PLMI's reliability and validity for measuring student margin.
Main Methods:
- The PLMI, assessing eight domains (e.g., aptitude, motivation, health, support), was administered to 586 medical, dental, and pharmacy students.
- A Rasch rating scale model was employed to analyze the psychometric properties of the inventory.
Main Results:
- The PLMI demonstrated acceptable psychometric properties for use in medical, dental, and pharmacy education.
- The primary limitation identified was lower subscale reliability, attributed to the limited number of items per subscale.
Conclusions:
- The Power-Load-Margin Inventory (PLMI) is a psychometrically sound tool for assessing student margin in health professional programs.
- Further refinement of subscales may enhance the PLMI's overall reliability for diverse student populations.
More Related Videos
Related Concept Videos
Reliability and Validity
14.4K
Reliability and validity are two important considerations that must be made with any type of data collection. Reliability refers to the ability to consistently produce a given result. In the context of psychological research, this would mean that any instruments or tools used to collect data do so in consistent, reproducible ways.
14.4K
Self-Report Tests of Personality
1.1K
Self-report inventories are objective personality assessments that use multiple-choice items or numbered scales, typically ranging from 1 (strongly disagree) to 5 (strongly agree). They are often called Likert scales after Rensis Likert. These inventories are widely used due to their ease of administration and cost-effectiveness. One of the most prominent examples is the Minnesota Multiphasic Personality Inventory (MMPI), initially developed in the 1940s to assess abnormal personality traits.
1.1K
Response Surface Methodology
813
Response Surface Methodology (RSM) is a collection of statistical and mathematical techniques used to develop, improve, and optimize processes. It is particularly valuable when many input variables or factors potentially influence a response variable.
The process of RSM involves several key steps:
The process of RSM involves several key steps:
813
Routh-Hurwitz Criterion I
673
Consider an electrical power grid, where stability is essential to prevent blackouts. The Routh-Hurwitz criterion is a valuable tool for assessing system stability under varying load conditions or faults. By analyzing the closed-loop transfer function, the Routh-Hurwitz criterion helps determine whether the system remains stable.
To apply the Routh-Hurwitz criterion, a Routh table is constructed. The table's rows are labeled with powers of the complex frequency variable s, starting from the...
To apply the Routh-Hurwitz criterion, a Routh table is constructed. The table's rows are labeled with powers of the complex frequency variable s, starting from the...
673
Ratio Level of Measurement
22.4K
The way a set of data is measured is called its level of measurement. Correct statistical procedures depend on a researcher being familiar with levels of measurement. For analysis, data are classified into four levels of measurement—nominal, ordinal, interval, and ratio.
A set of data measured using the ratio scale takes care of the ratio problem and provides complete information. Ratio scale data are like interval scale data, except they have a zero point and ratios can be calculated....
A set of data measured using the ratio scale takes care of the ratio problem and provides complete information. Ratio scale data are like interval scale data, except they have a zero point and ratios can be calculated....
22.4K
The Mantel-Cox Log-Rank Test
1.2K
The Mantel-Cox log-rank test is a widely used statistical method for comparing the survival distributions of two groups. It tests whether a statistically significant difference exists in survival times between the groups without assuming a specific distribution for the survival data, making it a non-parametric test. This flexibility makes the log-rank test particularly valuable in medical research and other fields where the timing of an event, such as death or disease recurrence, is of...
1.2K


