If you measure a cup of rice three times, and you get the same result (for example 5 grams) each time, that result is --------(A), and if the standard weight for a cup of rice is 5 grams, and you measure a cup of rice, and found the weight is 5 grams, that result is-------(В).
A. Not reliable, B. Not valid
A. Reliable, B. Not valid
A. Reliable, B. Valid
A. Not reliable, B. Valid
The Correct Answer is C
A. Not reliable, B. Not valid: A lack of reliability would mean inconsistent measurements across repeated trials, which is not demonstrated when the same value is obtained three times. Similarly, if the measured value matches the standard, it cannot be described as invalid.
B. A. Reliable, B. Not valid: Although repeated identical measurements indicate reliability, stating that the result is not valid would imply inaccuracy compared to the standard. When the measured value equals the accepted standard weight, the measurement meets criteria for validity, so this pairing does not correctly describe the scenario.
C. A. Reliable, B. Valid: Reliability refers to consistency or repeatability of a measurement. If measuring a cup of rice three times yields the same result each time, the measurement demonstrates consistency, which defines reliability. Validity refers to accuracy—whether the measurement reflects the true or accepted standard value. If the measured weight matches the known standard of 5 grams, the measurement is accurate and therefore valid.
D. A. Not reliable, B. Valid: If measurements are identical across repeated trials, the process demonstrates reliability rather than unreliability. While matching the standard does indicate validity, describing the repeated consistent results as not reliable conflicts with the definition of reliability as consistency in measurement.
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Naxlex Comprehensive Predictor Exams
Related Questions
Correct Answer is ["A","B","C","D"]
Explanation
A. The protocol should clearly indicate how design aspects will happen: A research protocol outlines the study design, procedures, instruments, and timing of data collection to ensure methodological consistency. Clear specification of design elements enhances internal validity and reproducibility. It also allows ethical review boards to evaluate participant protection and scientific rigor before implementation.
B. Having a detailed procedure for collecting the data is important: Standardized data collection procedures reduce variability and measurement error. Detailed instructions ensure that all researchers collect data in a consistent manner, improving reliability and minimizing bias. This is especially critical in multicenter or large-scale studies.
C. Getting the data collection correct first time is important: Errors during initial data collection can compromise validity and may not be correctable later, particularly if participants are lost to follow-up. Inaccurate or incomplete data weaken statistical power and threaten study credibility. Careful execution from the outset protects the integrity of the research findings.
D. Before collecting the data, a plan should be established to explain exactly how the data will be obtained: Preplanning ensures clarity regarding instruments, timing, setting, and data management procedures. A structured plan reduces ambiguity, prevents protocol deviations, and supports consistency across participants.
Correct Answer is D
Explanation
A. Mix (both qualitative & quantitative): Mixed-methods research incorporates both numerical data and descriptive, narrative data to explore phenomena. In this study, no qualitative data such as interviews, perceptions, or experiences were collected; only numerical and categorical epidemiological data were analyzed.
B. None of the above: The study clearly involves systematic data collection and statistical analysis of confirmed COVID-19 cases, which aligns with established research methodologies, so “none of the above” is not appropriate.
C. Qualitative: Qualitative research focuses on non-numerical data, exploring meanings, experiences, and perspectives. This study did not collect such data; it analyzed case counts, demographics, and outcomes using descriptive statistics.
D. Quantitative: The study is quantitative because it relies on numerical surveillance data, laboratory-confirmed cases, and statistical analysis. Descriptive and univariate statistics were used to summarize epidemiological characteristics, which aligns with a quantitative research design focused on measurable outcomes.
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