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Distinguished between qualitative and quantitative
Distinguished between qualitative and quantitative
Distinguished between qualitative and quantitative
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Scale of measurement is used to categorize and define numbers and variables in both quantitative and qualitative manner. There are four (4) scales of measurement : (Nominal, Ordinal, Interval, Ratio) which were used depending on the information that the data is intending to represent. Each scale tends to represent specific kind of information.
Nominal scale describes unrestricted assignment of numerals (Stevens, 1946). It is used to categorize data without any order or structure. As an example, a building can be classified for its type and use. As for the Burgundy Corporate Tower, it is classified as a Mixed-use Office/ Condominium Building (www.manilaoffice space.com, n.d.); this information only describes the building type, but doesn't specifically gives numerical values, such as the number of occupants, percentage of occupancy, building height, etc. Another example is to label the building's architectural style, the tower could be classified as an example of Postmodern Architecture. As defined from www.wikipedia.com, Postmodern architecture is also defined as neo-eclectic, where reference and ornament have returned to the facade, replacing the aggressively unornamented modern styles. This eclecticism is often combined with the use of non-orthogonal angles and unusual surfaces. This type of information only describe the physical characteristic of the building but doesn't necessarily define numerical values. Aside from categorizing the building's style, other information such as the type of occupants such as office tenants, residents, visitors, and in-house employee are data that can be described by this type of measurement.
Ordinal Scale represents ranking, order, or sequence. However, it does not necessarily specify interv...
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...etrieved: November 15, 2013 from http://en.wikipedia.org/wiki/List_of_tallest_buildings_in_the_Philippines
• Measurement Scales (n.d.) Retrieved: November 12, 2013 from http://www.csse.monash.edu.au/~smarkham/resources/scaling.htm
• Postmodern Architecture (November 2013) Retrieved: November 28, 2013 from http://en.wikipedia.org/wiki/Postmodern_architecture
• Stevens S.S. (1946) Theory of Scale of Measurements Retrieved: November 26, 2013 from http://personal.stevens.edu/~ysakamot/719/week3/Stevens_Measurement.pdf
• The Four Scales of Measurement of Data: Learning Statistics (n.d.) Retrieved: November 12, 2013 from http://voices.yahoo.com/the-four-scales-measurement-data-learning-statistics-5140223.html?cat=3
• Topic #1: Introduction to Measurement and Statistics (n.d.) Retrieved: November 12, 2013 from http://lsc.cornell.edu/Sidebars/Stats%20Lab%20PDFs/Topic1.pdf
The behavioral dimension goes hand in hand with pragmatism. It asks how is it possible to get a child to do something effectively. So its main focus is on what the person says or thinks not what he says about what he can do or think. Which requires precise measurement. Another important question in the behavioral dimension is to ask not just was the behavior changed but whose behavior was changed. The test- retest, and the inter- rater reliability techniques are of major importance for considering the presence of this dimension.
A researcher determines that 42.7% of all downtown office buildings have ventilation problems. Is this a statistic or a parameter; explain your answer.
Rosenberg, M. (2010, 11 17). China's one child policy. Retrieved 01 31, 2011, from About.com:
Quantitative research methods include information having numeric meaning, also measuring. Focus in this research strategy is on measurement and the comprehension of the relationship amongst variables (Lincoln, 2003). Quantitative analysis consequently depends and builds on statistical trials, for example frequency, mode, median, quantity and arithmetical procedure.
What is descriptive statistics? Usually under descriptive statistics summative methods of description the data in succinct ways is considered. Data analysis usually begin with descriptive statistics, because it helps to understand what data we have – what is the sample, what is the accuracy of the data and how it is possible manage it.
Kenney, Ian. "The Disadvantages of the Metric System of Measurement | EHow.com." EHow | How to Videos, Articles & More - Trusted Advice for the Curious Life | EHow.com. Web. 07 Oct. 2011. .
8.) Data - means facts or information. People use data as a basis for drawing conclusions about the topic or theme they are studying.
Descriptive summary, including frequency and descriptive, was used to screen the data set. Among basic statistics to use were mean, median, mode, sum, variance, range, minimum, maximum, skewness and kurtosis.
O-data might not be the best choice because the observers might be bias or judgmental and report something differently than someone else would but multiple observers can focus in of specific behavior or report more general behavior. T-data is very objective but participants could alter their answers to what they think is “correct”. Lastly, S-data is easy and quick because the individual themselves is giving you the information but the participant could be altering the information to be able to show themselves off in a more positive light. Within the different data types, there are different measures that are taken into play, fixed and flexible. A fixed measurement is when everyone participating gets the same test and is scored the same way, which is most likely to be seen when collecting O-data and S-data due to questionnaires and personality tests. However, a flexible measurement is when something else is tested on rather than a set of questions, which is mostly seen in T-data due to various
The mode is the value in a set of data that appears more frequently than any other value (Levine, et al., 2008). There are times there are no modes and there are times that there is more than one mode (Levine, et al., 2008).
__C__ 8. Which of the following scales would be used when the information is qualitative rather than quantitative?
Quantitative is numerical or statistical data which often comes from surveys, surveillance or administration records. Quantitative evidence provides a good overall picture of a population or geographical region. It can often be used to measure trends over time. It describes who, what, where and when. Quantitative has four main designs, Descriptive, Correlational, Experimental and Quasi-experimental. Descriptive is the characteristics of individuals, situations or groups and the frequency which with certain phenomena occur using statistics to summarise and describe data. Correlational, interrelationship amongst variables of interest without any active intervention by the researcher. Experimental is systematic and objective, investigator controls the independent variable and randomly assigns subjects to different conditions (Ingham-Broomfield, n.d.).
According to Burns and Bush (2006), “quantitative research is defined as research involving the use of structured questions in which the response options have been predetermined and a large number of respondents is involved” (p. 202). Quantitative research often uses numerical values; however, the data is always very structured in standardized form, are clear in definition, and provide an orderly process.
Quantitative is based on empirical research, critical interpretation of data in forms of numbers. Mostly, quantitative research uses deductive approach, which begins with a theory, generalizes and tests theory or hypothesis. Quantitative is suitable for researcher aiming at answering questions, operational definitions, an experiment of time series to see how things are changed in number, casual explanation and deductive reasoning. Quantitative research data is based on questionnaires collected from descriptive information, attitude survey, explanatory survey through an interview, form filling, portal, email. (Sue, 2017; University of Surrey, 2017)
This is one of the two main ways that data is collected when doing research. Quantitative data has a focus on obtaining a specific goal and has objectivity. These goals are obtained through numerical measurements and contain control groups and variables in the experiments to help provide answers that show relationships. (McMillan, 2012, p. 11)