Scales in Research
Measurement And Scaling
The role of scales in research
If someone is asked: "on a scale of 1-10, did you like that new movie," their response is meaningless unless it is clear that 1 means 'I didn't like at all,' that 5 means 'I thought it was okay,' and 10 means 'I loved it.' On a scale of 1-100, 10 is a not very positive response, while on a scale of 1-10, 10 is a very positive response. Before he or she begins accumulating data, a savvy researcher must create an effective, scaled response designed to measure the information that will be amassed and that will yield meaningful results.
But simply assigning a value of 1-10 alone is not scaling. Statistical analysis is required to ensure that analyzing the population sample's responses are accurate (Trochim, 2006, General issues in scaling). Three major types of uni-dimensional scaling methods exist. Thurstone or Equal-Appearing Interval Scaling offers a list of statements, to which individuals can agree or disagree. Then the likelihood of certain responses is calculated, based upon typical...
Measurement Scale The first decision with respect to measurement scale is whether the findings will be reported on a composite scale or a summated scale. A composite scale is probably the most appropriate for this study. A summated scale is commonly used in the social sciences, and can be used to reflect people's attitudes, emotions and feelings. There are four main characteristics of a summated scale. The first is that the
If your data only needs to be classified into two areas, using a nominal scale is the easiest. There is no reason to get too complicated if all you need to know is if people are part of one organization or another. Question 2 -- 150 words The choice of which measurement tool to use when collecting data depends almost entirely on the intended use of the data. Several ways of
Data Warehousing and Data Mining Executive Overview Analytics, Business Intelligence (BI) and the exponential increase of insight and decision making accuracy and quality in many enterprises today can be directly attributed to the successful implementation of Enterprise Data Warehouse (EDW) and data mining systems. The examples of how Continental Airlines (Watson, Wixom, Hoffer, 2006) and Toyota (Dyer, Nobeoka, 2000) continue to use advanced EDW and data mining systems and processes to streamline
Data Warehousing: A Strategic Weapon of an Organization. Within Chapter One, an introduction to the study will be provided. Initially, the overall aims of the research proposal will be discussed. This will be followed by a presentation of the overall objectives of the study will be delineated. After this, the significance of the research will be discussed, including a justification and rationale for the investigation. The aims of the study are to
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
DNP PROJECT : DATA COLLECTION AND ANALYSISImplementation Plan/ProceduresPhase 1: Program Development (Months 1-3)� Conduct comprehensive literature review on evidence-based practices for culturally tailored hypertension self-management� Collaborate with community stakeholders and minority health organizations to understand sociocultural determinants and barriers� Design culturally relevant, linguistically appropriate education curriculum with interactive multimedia resources� Recruit and train a diverse team of bilingual, culturally competent nurses and community health workersPhase 2: Participant Recruitment (Month 4)�
Our semester plans gives you unlimited, unrestricted access to our entire library of resources —writing tools, guides, example essays, tutorials, class notes, and more.
Get Started Now