which statement about response options for scale items is true? course hero

by Jordy Luettgen Jr. 8 min read

What does it mean when a test is reliable?

What is the most popular technique for internal consistency?

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MULTIPLE-CHOICE QUESTION Which scale of measurement most reasonably applies to Confidence in Education? Select the best option. Choices ordinal interval-ratio nominal Incorrect. Recall that interval-ratio scales are used to organize data that is quantitative but doesn’t have a true zero, such as temperature. Since Confidence in Education is measured relatively rather than numerically—and ...

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10 10 Points 10 10 Points Answer Key Answer Key C Question 19 of 20 What from MATH 302 at American Military University

Solved Identify the examples below as representing the | Chegg.com

Identify the examples below as representing the nominal, ordinal, interval, or ratio scale of measurement. 1. The time you went to bed last night.

When using a Likert-type response scale, the statement used in the item stem must be a clear?

When using a Likert-type response scale, the statement used in the item stem must be a clear statement that is not ambiguous, ambivalent, or a generally accepted declaration.

When using multiple choice response method, do you want to provide a list of all reasonable responses?

In most cases when using a multiple-choice response method, you want to provide a list of all reasonable responses, but not always. In the relationship status example, the number of possible responses will depend on the various mutually exclusive relationship situations possible.

How many options are there on a Likert scale?

With Likert response scales, the issue is one of specificity and, in some cases, ordinality. Typically, a Likert scale will have four to eight options. The specific number should be informed by the respondents’ ability to make clear differentiations between options on the scale. Having too few options (e.g., "agree" or "disagree") limits the ability to interpret the data regarding the magnitude of agreement or disagreement. In addition to not being needed, having too many options (e.g., more than eight) makes it difficult to give meaningful labels to each response (i.e., labels that makes them distinct and clearly ordinal in nature). Respondents most likely won't be able to make meaningful differentiations between points on the scale, and less granularity would likely serve the research purposes.

What is relationship status in a survey?

Consider the relationship status item. This item most likely would be included in a survey to provide a basic description of respondent demographics. If this were the case, an individual’s failure to respond may not be a problem. Providing respondents with an opt-out option for this item protects the individual’s rights. However, if the results were intended to be disaggregated based on the relationship status, failure to answer the item would make the respondent's data unusable. This would be even more problematic if large numbers failed to answer or the response refusal had a systematic pattern. Similarly, if the information was to be used as a branching variable (so you could ask group-specific items), failure to capture this information would render this design feature inoperable.

When to use Likert scale?

A Likert response scale is most appropriate when the item stem is a statement . Likert response scales are typically used when designing a scale rather than a questionnaire but are also used in questionnaires. The Likert response scale is meant to capture the strength of an individual’s agreement or belief. An adaptation of the Likert scale is often used to group individuals based on some numerical amount (e.g., income or age grouping). Response options in a Likert scale need to be ordinal in nature and mutually exclusive; multiple-choice response options need only be mutually exclusive. There are a few design decisions you need to consider when using this specific type of response scale.

How to create a list of possible answers?

To create a comprehensive list of possible answers, you might simply create a list using your own logic. For example, in the relationship status example it is very likely that you could logically determine each possible situation. However, this is not always the case. Consider a situation where you were looking for respondents’ reasons for doing something. In the pilot testing phase, you might include an open-ended question asking potential respondents to state their reasons. Responses would then be coded and categorized. A comprehensive list of the most common reasons might then be obtained. This would be the basis for the list of answers you use in the final version of the survey. In this situation, you may still wish to allow for other responses. However, you would need to clean the data afterwards by reviewing each response not already listed. This is done by reading each additional response and deciding whether the response is novel (something you hadn’t thought of), irrelevant/unrelated (the equivalent to a non-answer), or just a different way of saying what was already in the list of options (in which case the response should be recoded).

What is item stem?

In this situation, the item stem is phrased as a question followed by a list of potential answers. Each response option must be mutually exclusive or clearly different from the others. There are a few specific design decisions you need to consider when using the multiple-choice response method.

What does it mean when a test is reliable?

Another term for consistency. If one person takes the same test in different conditions, and always receives the same results, the test is reliable.

What is the most popular technique for internal consistency?

The most popular technique for internal consistency is using Cronbach's

What does it mean when a test is reliable?

Another term for consistency. If one person takes the same test in different conditions, and always receives the same results, the test is reliable.

What is the most popular technique for internal consistency?

The most popular technique for internal consistency is using Cronbach's

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