¶ … Measurement and Concepts of Validity "As you move up the ladder of measurement, the amount of information that is gained increases. At the lowest level, you have only categorization" (Measurement, n.d.: 21). The lowest level of measurement is the nominal scale which "simply places people, events, perceptions, etc. into categories based on some common trait" (Garger 2010). For example, a group of people deemed to be overweight in a medical study would be a nominal category. With every successive level of measurement "you add knowledge about the order of the categories included" (Measurement, n.d.: 21). Thus, with an ordinal scale, data is ranked from lowest to highest which makes the scale more information-rich than the nominal scale (Garger 2010). To use the above-cited example, this might include rankings of persons according to their weight in kilos. The next level above the ordinal scale, the interval scale classifies, orders, and also "define[s] how much categories differ one from another" (Measurement, n.d.: 21). For example, the amount of difference between each overweight person in the group would be defined. Finally, a "ratio scale requires all of these characteristics as well as a non-arbitrary, or true, zero value" (Measurement, n.d.:...
Because it cannot be assumed that "that the lowest possible score in your data collection automatically represents an absolute zero point" only with the knowledge conveyed by the ratio scale is the data-collector's knowledge 'complete' (Garger 2010). For example, if collecting data on obese people who scored from 1-10 on an test with a ratio scale which measured their risks for developing medical complications from obesity, it would be impossible to convert from an normal, ordinal, or interval scale to this ratio scale because there would be no information at the lower levels what the absolute zero point was but it would be possible to convert to the less information-rich systems of measurement from the ratio scale.
However, when the researcher is interested in giving a highlight of how the response patterns vary across the subgroups, then the scores can be treated as discrete choices thus allowing them to be ordinal values Miller & Salkind, 2002. In this case the intervals between the positions on the scale are monotonic but not well defined to make them numerically uniform increments thus making the likert scale have ordinal properties
Doctor of Social Work (DSW) Doctoral Research Project ChecklistDate: ?????Student’s Name: ????? Student ID (for office use only) -- ?????School:Program of Study: Social WorkChairperson ?????Committee Member ?????University Research Reviewer ?????The following checklist provides a tool to develop DSW Doctoral Projects in social work contexts. The doctoral project involves multiple steps, including identification of the local problem and development of the practice-focused question(s) to address it, and a review of the
" Harassment, including sexual and other types as well, is also a common type of formal complaint that must be taken very seriously by contemporary businesses. More extensive employee training can help better inform employees of appropriate work behavior, so that there are less incidences of harassment between employees unknowingly. Better trained employees makes for a more efficient work environment with less complications. Therefore, the research showed that "many organizations within it
However, none was found that centered on small hotels in China. This research add to the existing body of research by providing an assessment of the balanced scorecard method in this special business setting. The information obtained by this study will help to make small hotels in China more competitive and able to compete well into the future. This research will play an important role in the development of the
Devereux Early Childhood Assessment (DECA) program is used to assess young children, their caregivers, and the program environment. One of the areas highlighted in the checklist focuses on responsive caregiving as an avenue for parents and other caregivers to reflect on and change -- where needed -- the way they interact with their young charges (Rosas, et al., 2012). Moreover, considerable research has been conducted on the implementation of
group and the nature of the study population. Both may present limitations to the researcher that will be reflective in the study design. In a quasi-experimental study, for instance, the study design lacks a fundamental component of a customary experimental design, namely randomization of the participants into study groups. Geographic limitations or the specificity of the participation qualifications may hinder the researcher from randomizing the subjects. An ex post
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