Learn Before
Define the ordinal level of measurement and describe its defining characteristics. In your response, include what this level of measurement communicates about differences between individuals, the assumption regarding the intervals between adjacent scale values, and the appropriate measures of central tendency for this type of data.
Question: Define the ordinal level of measurement and describe its defining characteristics. In your response, include what this level of measurement communicates about differences between individuals, the assumption regarding the intervals between adjacent scale values, and the appropriate measures of central tendency for this type of data.
Sample answer: The ordinal level of measurement involves assigning scores that represent the rank order of individuals on a given variable. It communicates whether individuals differ and whether one individual is higher or lower than another. However, ordinal scales do not assume that differences between adjacent scale values are equal; they only communicate the sequence or order of responses. Therefore, the appropriate measures of central tendency for ordinal-level measurement are the median or the mode.
Key points:
- Involves assigning scores that represent the rank order of individuals.
- Communicates whether individuals differ and whether one is higher or lower.
- Does not assume that the differences between adjacent scale values are equal.
- The median or mode can be used as indicators of central tendency.
Rubric: Full credit is awarded for defining ordinal measurement as rank order, stating that it identifies if individuals differ and their relative higher/lower status, noting the lack of assumed equal intervals between values, and identifying the median or mode as the correct indicators of central tendency.
0
1
Tags
KPU
Research Methods in Psychology - 4th American Edition @ KPU
Related
Which of the following is a key characteristic of the ordinal level of measurement?
A researcher asks participants to rate their stress on a scale where 1 = 'no stress,' 2 = 'mild stress,' 3 = 'moderate stress,' and 4 = 'severe stress.' The researcher then calculates the mean stress rating across all participants and reports that the average participant experiences stress halfway between 'mild' and 'moderate.' This use of the mean is appropriate for these data.
A psychological researcher is evaluating different measurement strategies for a study on personality and performance. Match each research scenario with the most appropriate conclusion based on the properties of ordinal-level measurement.
A psychological researcher ranks five patients based on the success of their 'fear reduction' therapy (1st = Most Success, 5th = Least Success). Arrange the following interpretations of the data in order of the complexity of the measurement information they assume, starting with the simplest interpretation and ending with the one that assumes properties exceeding the ordinal level.
A psychological researcher is developing a new measurement protocol to evaluate 'Leadership Quality' in group projects. To create a data-collection system that operates at the ordinal level, which procedure should the researcher design?
The ordinal level of measurement assumes that the differences between adjacent values on a scale are equal.
A researcher evaluates the results of a mood-improvement study where participants ranked their stress on a scale of to . The researcher claims that the reduction in stress for a participant moving from rank to is identical to the reduction for a participant moving from rank to . This evaluation is flawed because ordinal-level measurement does not assume _____ intervals between adjacent values.
A psychological researcher is designing a study on patient recovery. Match each research scenario with the appropriate measurement property or decision based on the ordinal level of measurement.
A researcher collects ratings of satisfaction from least to most satisfied. When analyzing the data, they decide to calculate the mean score. However, this is inappropriate because ordinal scales do not assume that the differences between adjacent scale values are _____.
A researcher is evaluating a newly developed rating scale for depression severity. Arrange the evaluation steps in order, from verifying the scale's basic properties to determining its appropriate descriptive statistics.
Define the ordinal level of measurement and describe its defining characteristics. In your response, include what this level of measurement communicates about differences between individuals, the assumption regarding the intervals between adjacent scale values, and the appropriate measures of central tendency for this type of data.
Based on the properties of the ordinal level of measurement, diagnose the flaw in the student's reasoning. Explain why the mean is not the appropriate measure of central tendency for these data and state what should be used instead.
A researcher measures job satisfaction by having employees rank their preference for three different workplace policies (1st choice, 2nd choice, 3rd choice). Which measure(s) of central tendency should the researcher use to summarize this data, and why?