When conducting research, _________ is the strength of the conclusions, while __________ is the level of consistency of the measurement.

Question

BlackTom AI · Accepted Answer

When evaluating research concepts, the phrasing of each option matters for understanding what each term means.
Option 1: "quantitative; qualitative" pairs two common data types, but neither describes the strength of conclusions nor the consistency of measurement. Quantitative vs qualitative speaks to data type, not the specific psychometric properties in question.
Option 2: "secondary; primary" contrasts data sources or evidence levels rather than the validity of conclusions or reliability of measurements. This pair misaligns with the core ideas of how well conclusions are supported and how consistently measurements capture constructs.
Option 3: "validity; reliability" specifically maps to the requested concepts: validity denotes how well conclusions reflect the truth or the intended construct, i.e., the strength of the conclusions; reliability refers to how consistently a measurement yields the same results across trials or raters, i.e., the level of consistency of the measurement. This pairing aligns with standard research definitions.
Option 4: "quantitative; validity" again mixes data type with a measurement property, but it assigns an attribute to a concept that doesn’t fully capture the notion of consistency of measurements as reliability does.
Option 5: "reliability; validity" reverses the standard order: reliability concerns consistency, but placing it as the strength of conclusions and validity as the consistency measure in this prompt would invert their typical roles, leading to conceptual confusion.
In summary, the pairs that swap data types or misassign the terms do not accurately reflect the established meanings of validity (truthfulness of conclusions) and reliability (measurement consistency). The option that aligns with standard definitions correctly associates validity with the strength of conclusions and reliability with measurement consistency, while the other options either confuse data-type descriptors or swap the concepts, creating inaccuracies.

2025FallDYN-T-MKT540-86960 Concept Check

When conducting research, _ is the strength of the conclusions, while __ is the level of consistency of the measurement.

View Explanation

Log in for full answers

Similar Questions

Which of the following is true about a study that is valid and reliable?

In a consumer society, many adults channel creativity into buying things

Economic stress and unpredictable times have resulted in a booming industry for self-help products

People born without creativity never can develop it

A product has a selling price of $20, a contribution margin ratio of 40% and fixed cost of $120,000. To make a profit of $30,000. The number of units that must be sold is: Type the number without $ and a comma. Eg: 20000

Which of the following statement regarding cost is correct:

Under the assumptions used in cost-volume-profit analysis, as the activity increases:

More Practical Tools for Students Powered by AI Study Helper

Homework AI Solver

Stylized AI Paper Writer

Plagiarism Checker Assistant

Citation AI Academic Writing Tool

In-Class Translation Assistant

AI Note Generator

AI Quiz Answers

Past Exam Questions from University Test Bank

Smart Practice Assistant

Adaptive Practice

Making Your Study Simpler