Verified Document

Statistics-Multivariate Analysis Research Data Collected Thesis

Demographic characteristics may be used to generate this profile. Results generated may show that after cluster analysis, respondents who belong to the upper middle to upper class socio-economic group are identified as having a high degree of health consciousness, while respondents aged between 25 and 25 are the ones who most rely on self-medication. Multidimensional scaling, meanwhile, will be useful in this example by mapping out these attitudes towards health, giving the researcher and user of research an idea about the spread of these attitudes in a multidimensional space, as well as determine the dimensions generated and in which dimensions attitudes are located or positioned. Again, as with cluster analysis, MDS can make use of the demographic characteristics to map against the attitude statements/characteristics (interesting analyses would be characteristics vs. geographic location, educational attainment, age group membership, among others). Software programs like the SPSS and SAS have expanded its range of product offerings and now features numerous products allowing users to run multivariate analysis to quantitative data. Increased use of multivariate analysis can be attributed to two related causes: (1) first, the prevalence of computer technology as a means to automate specific research processes such as data analysis, and (2) second, the increasing amount, availability, and accessibility of information prompted the use of multivariate analysis and consequently, software programs that feature these techniques.

The prevalence and eventual dominance of computer technology as the researcher's aid in completing studies and researches have increased as more features are added that enabled the researcher to conduct further analyses of the variables being studied. Because of computer technologies, information became available and accessible, and information has increased as a result. With the multitude of information available to the researcher/user, there is a need to make sense of data that univariate and bivariate cannot explain or process efficiently. Thus, when the researcher...

Univariate analysis has limitations in terms of providing breadth and depth to the data generated because it only studies a variable, and can only describe actual data and not compare it against other variables. Bivariate analysis provides the researcher an opportunity to look at two variables and examine their relationship with each other. Through this type of analysis, the researcher can then make meaningful descriptions and determine the nature and strength of the association or relationship between the two variables.
Multivariate analysis, however, takes the researcher further into the data analysis by providing both breadth and depth to the data. The researcher is no longer limited to just one or two variables; she or he can study numerous variables either in groups (dependence technique) or as a whole or sing set (interdependence technique). In fact, with the help of multivariate analysis, the researcher can explore the data available in terms of possible relationships that may exist that she or he may not have thought about or looked into during the design phase of the study. (Exploratory analysis of data, of course, must be logical and does not just involve the running variables not logically related to each other -- that is, relationships that logically, do not make sense to the researcher and objectives of the study). In effect, multivariate analysis gives more meaning to data, giving the researcher a holistic perspective that will aid her/him in interpreting the results, and provide a more knowledgeable conclusion and recommendations to his/her study.

References

Hair, J. (1995). Multivariate data analysis with readings. 4th ed. NJ: Prentice Hall International.

Malhotra, N. (1996). Marketing Research: An Applied Orientation. NJ: Prentice Hall.

Weiers, R. (1984). Marketing Research. NJ: Prentice Hall.

Sources used in this document:
References

Hair, J. (1995). Multivariate data analysis with readings. 4th ed. NJ: Prentice Hall International.

Malhotra, N. (1996). Marketing Research: An Applied Orientation. NJ: Prentice Hall.

Weiers, R. (1984). Marketing Research. NJ: Prentice Hall.
Cite this Document:
Copy Bibliography Citation

Related Documents

Multivariate Analysis Is Appropriate for a Quantitative
Words: 579 Length: 2 Document Type: Essay

multivariate analysis is appropriate for a quantitative study. Conclude your posting by describing your personal interests in one of the multivariate statistical tests and its potential usefulness to you in future research. The question of whether to use a multivariate vs. univariate or bivariate statistical tests is rather straightforward. Multivariate statistics provide analyses in cases where there are more than one independent variable and/or more than one dependent variable (Tabachnick

Multivariate Analysis and Interventions
Words: 543 Length: 2 Document Type: Research Paper

ICU Delirium Clinical Question The PICOT question that will be evaluated in this study is, "Does the use of a validated delirium assessment instrument (intervention) improve delirium detection (outcome) among adults in the ICU (population) as compared multicomponent interventions (comparison) within a 6-month period (timeline)?" Intervention to be Implemented The intervention that will be implemented in this study is Confusion Assessment Method, which is a validated delirium screening instrument. The intervention will be utilized

Project on Business Research
Words: 2868 Length: 10 Document Type: Research Proposal

Business Research ProjectArea of Research:�Strategies and Decision-making�Project/Dissertation Title:�Exploring the Strategies and Decision-making Approaches that Boeing should Adopt to React to the Business Challenges after 737 Max Crash.�Project/Dissertation:��This research project explores how the Boeing company strategizes and makes decisions specifically after the 737 Max crash, significantly affecting its business operations and model. The two crashes of 2018 and 2019 hit the company's core and had to reflect on its infrastructure and

Statistics in Research and Analysis
Words: 3309 Length: 10 Document Type: Research Paper

." Where the data consists of numerical things like number of cows that give birth to bulls in a region, the answer may be straightforward. But where there is interaction between the chosen variables, especially where the humans are involved as a variable unlike inanimate objects like gases or salt will not produce the same linear results that could be expected from a scientific experiment as in physics for example. In

Data Analysis Strategies for a Nurse Led Hypertension Initiative
Words: 2022 Length: 7 Document Type: Data Analysis

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)�

Maddox's Research Design Involved a
Words: 1612 Length: 5 Document Type: Essay

By performing a test aimed at determining the statistical significance of the coefficients. EG - on page 612, the author's direct explanation of her findings is. Before you explain what is meant by these coefficients, please explain what is a "direct explanation." I thought all explanations are direct. Without considering the mediation variables. 5.4c. On page 609, the author states that she included variables because she needed to control their effects. In this context,

Sign Up for Unlimited Study Help

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