Open research questions in Scientific Measurement and Uncertainty Evaluation
84 unresolved questions extracted from the limitations and future-work sections of 420 Scientific Measurement and Uncertainty Evaluation papers in our library. Each links back to the study that raised it.
What the literature leaves open
Further development of cRMPs and SI-traceable RMs - Integration of metrological traceability into test system design
Prior work on metrological traceability was largely confined to technical departments - There was a lack of recognition of traceability as a competitive and clinical differentiator
The adoption of measurement units is not harmonized between different countries and among laboratories within the same country
The lack of understanding of the effects of categorization and transformation errors on the correspondence between the underlying continuous variable and its ordinal measure. The need for a framework to understand the relationship between categorization and transformation errors.
The relationship between ordinal measures and their underlying values: Why all the disagreement? · 1985 · DOIThe paper suggests future research directions in the context of statistical hypotheses testing under ordinal constraints. Future research can focus on developing more efficient and effective methods for testing weak stochastic transitivity.
The paper identifies the gap in current research as the lack of a satisfactory method for testing weak stochastic transitivity. The gap is the lack of a framework for testing weak stochastic transitivity in probabilistic measurement theories.
The current state of affairs is unsatisfactory. There is a need for a definite proposal for measuring relative changes. The paper identifies the lack of comparable helpful terminology and symbols in connection with log changes as a problem.
The limitations of norm-referenced measurement. The importance of individual progress in determining student achievement. The need for a method to systematically adjust grades based on improvement.
The study suggests that future research should explore the generalizability of the results to other tasks or domains. The study suggests that future research should investigate the differences in how people estimate frequency and probability of events in different contexts. The study suggests that future research should provide more insights into the limitations of prior work and the need for further research.
The paper identifies the need for careful consideration of data sources, collection modes, and referents in instrument design. It highlights the importance of validation of instruments to ensure their accuracy and lack of bias.
The paper suggests that research is needed to address the problem of setting the standard. The paper suggests that research is needed to develop a better understanding of the practical implications of setting and using standards.
The paper identifies a gap in the understanding of the practical implications of setting and using standards. The paper identifies a gap in the development of a better understanding of the effects of different instructions to judges.
There is a need for valid and reliable test instruments in nutrition education. The literature on constructing such instruments is large and technical, but often inaccessible to non-experts.
There is a need for a technique to equate scores on tests with different difficulties and intended for different ability groups. The Rasch model has not been widely used in vertical equating.
Future research could investigate the effectiveness of a shortened sequence of training sessions. The paper suggests that future research could explore the use of different types of training items or procedures.
The paper identifies a gap in the literature on improving calibration. Prior work has shown that people's calibration is usually poor, but there is a need for effective training procedures to improve calibration.
To further test the validity of the model using more experiments. To apply the model to various domains where subjective probabilities are used. To explore the factors that influence calibration.
There is a need for a model to represent the characteristics of calibration. The existing models do not fully capture the complexities of calibration.
Further clarification of the concept of level of measurement is needed. The development of more precise measurement tools for social science variables is necessary.
The common assumption that ordinal statistics are the best for noninterval continuous social variables is criticized. The relationship between the normal distribution and interval measurement is unclear.
The lack of acceptance of the metric system in the United States. The complexity of the US system of measurement.
The paper identifies a gap in the understanding of how to perform different types of measurements. It highlights the need for empirical operations to yield information needed for each type of measurement.
To compare the equivalence interval to other measures of uncertainty. To investigate the usefulness of the equivalence interval in other settings. To develop new methods for measuring uncertainty.
Prior research has relied on criterion measures of uncertainty that have low reliability and validity. There is a need for a new measure of uncertainty that can be applied in a wide variety of settings.
People appear ill-equipped to deal intuitively with complex or abstract statistical problems. There is a lack of consensus on the appropriate operational definition for expectation or subjective probability.
Most-cited papers in Scientific Measurement and Uncertainty Evaluation
- Measuring place attachment with the Abbreviated Place Attachment Scale (APAS) · Journal of Environmental Psychology · 2021 · 156 citations
- Instrument strength in IV estimation and inference: A guide to theory and practice · Journal of Econometrics · 2023 · 91 citations
- Surveying business uncertainty · Journal of Econometrics · 2020 · 89 citations
- An updated paradigm for evaluating measurement invariance incorporating common method variance and its assessment · Journal of the Academy of Marketing Science · 2020 · 84 citations
- Measured accuracy of intraoral scanners is highly dependent on methodical factors · Journal of Prosthodontic Research · 2021 · 33 citations
- Statistical distributions commonly used in measurement uncertainty inlaboratory medicine · Biochemia Medica · 2020 · 28 citations
- Measurement in metrology, psychology and social sciences: data generation traceability and numerical traceability as basic methodological principles applicable across sciences · Quality & Quantity · 2020 · 23 citations
- Interpretation of the Standardized Mean Difference Effect Size When Distributions Are Not Normal or Homoscedastic · Educational and Psychological Measurement · 2024 · 21 citations
- Functions of units, scales and quantitative data: Fundamental differences in numerical traceability between sciences · Quality & Quantity · 2021 · 20 citations
- Clinical Applications of Measurement Invariance · Journal of Personality Assessment · 2020 · 13 citations
Most recent work
- Mapping out the Hexagon Measurement Framework as a Blueprint Underlying Measurement in the Human Sciences · Journal of Educational Measurement · 2026
- Measurement units harmonization: “Unity in Units” · Clinical Chemistry and Laboratory Medicine (CCLM) · 2026
- Metrological traceability enters the boardroom of IVD-manufacturers · Clinical Chemistry and Laboratory Medicine (CCLM) · 2026
- How Not to Do WLS Fitting in Calibration with Heteroscedastic Data · Analytical Chemistry · 2026
- How Much Is Too Much? An Investigation of the Evaluation of Approximate Measurement Invariance Using Alignment Method · Structural Equation Modeling: A Multidisciplinary Journal · 2026
- On the construction of probability-symmetric measurement uncertainty intervals for asymmetric distributions · Measurement Science and Technology · 2026
- On the Validation of Measurement Techniques in Solid Mechanics · Experimental Techniques · 2026
- Uncertainty Evaluation Framework of Large-Scale Metrology for Precision Manufacturing in Shop Floor Environment · Metrology · 2026
- Accelerators revisited: Taking stock and charting the path forward · Journal of Engineering and Technology Management · 2026
- An Introduction to Measurement Uncertainty · arXiv · 2026
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