| Papers [1-9] of 9 | Search results on "ANOVA": |
| Term Paper # 96248 |
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ANOVA Techniques, 2006.
This paper analyzes an article about ANOVA, the analysis of variance research tool.
900 words (approx. 3.6 pages), 2 sources, $ 35.95
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Abstract
The paper discusses the quantitative research methodology tool ANOVA, the analysis of variance. To illustrate this particular research tool, an article employing ANOVA is examined in detail with its component sections reviewed, with a critical eye towards the use of ANOVA. The paper concludes that ANOVA is a valid and highly important statistical research device that allows the researcher to better understand the character of the topic at hand.
From the Paper
"The problem posed in Spitzner's, Marron's, and Essick's (2003) article, "Mixed-Model Functional ANOVA for Studying Human Tactile Perception," is that traditional two-dimensional approaches to quantitative statistical analysis fail to take advantage of advances in graphical applications that extend statistical analysis into a the realm of three-dimensionality. The study is necessary to illustrate how some of these graphical statistics programs can, "permit subjects to draw some aspect of the sensory experience without the constraints of numerical scales or experimenter-defined categories" (Spitzner, Marron, & Essick, 2003, para.2). The authors wish to accomplish this by employing ANOVA (analysis of variances) techniques mediated through graphical statistical analysis."
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Applying ANOVA and Non-Parametric Tests, 2008.
This paper discusses the application of analysis of variance (ANOVA) and non-parametric tests.
750 words (approx. 3.0 pages), 1 source, APA, $ 26.95
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Abstract
In this article, the writer notes that the challenge in business is to produce quality products or services efficiently. Ensuring quality involves customer satisfaction, employee involvement, and continuous improvement. The writer discusses a simulation, in which the assignment was to monitor on-time delivery of projects and client satisfaction. The writer looks at an analysis using ANOVA and nonparametric tests, determining the cause for the problem according to the test results and suggesting process improvements. The writer discusses the sequential process of how to use ANOVA, the chi-square goodness-of-fit test, and the Kruskal-Wallis test. The writer then notes that a manager can use statistical analysis to identify process changes and improvements to address quality issues. Finally, the writer looks at the importance of obtaining input from others in the work team who are more knowledgeable in statistics.
From the Paper
"The first lesson this author learned, is that according to the simulation, the process of applying ANOVA and nonparametric tests is sequential. A manager should first analyze the descriptive statistics of the data, check the assumptions of ANOVA and nonparametric tests, then decide which test to use for analysis. In the end, he can make process improvements based on the results of the analysis. After gathering the data, a manager should check the assumptions of ANOVA and nonparametric tests. If he is not sure if the data has a normal distribution, then it is at that point that he would use the Kruskal-Wallis test. And before making a decision, he should perform the chi-square goodness of fit test to check the normality of the data so that he can determine if the population has a normal distribution. After performing the chi-square test, if the data shows that the chi-square test statistic is greater than the chi-square critical value, it means that the test statistic lies outside the acceptance area and the manager should reject the null hypothesis."
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Anova, 2005.
In this paper, there is a description of an analysis of variance, plus revisions to and extension of existing text.
2,260 words (approx. 9.0 pages), 20 sources, MLA, $ 79.95
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Abstract
This paper offers a description of an analysis of variance, plus revisions to and extension of existing text.
From the Paper
"Introduction to the Study. Information technology, IT, has been and continues to be applied in a wide range of economic activities. One of the latest and potentially most significant advances in IT in relation to organizational performance, is the development of innovations in information technology that hold the potential to influence the structure of strategic management systems in organizations. (Cohen) Statement of the Problem. Information is critical to organizational performance in the contemporary knowledge-based economy. As a consequence, information systems have become a primary organizational resource."
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Statistical Analyses, 2002.
Compares the theoretical bases of ANOVA, ANCOVA, MANOVA and MANCOVA and examines their utilization in behavioural science.
4,742 words (approx. 19.0 pages), 17 sources, APA, $ 121.95
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Abstract
In the realm of behavioral science, researchers try to understand the psychological workings of a population by examining the traits, or variables, of a smaller sample. Statistical analyses on the data collected from samples are used in order to understand how observed behavioral phenomena generalize to a broader population. The paper shows that the main goal of this kind of research is to define what is average or typical of a group in regards to a certain characteristic or condition. A systematic comparison of the average tendencies of two or more groups yields a more accurate evaluation of group similarities and differences than does an informal examination of the data. This paper discusses and compares the four methods of testing: Analysis of variance (ANOVA), Analysis of Covariance (ANCOVA) and their multivariate equivalence (MANOVA and MANCOVA).
From the Paper
"Overall, MANOVA is utilized when a researcher desires an ANOVA-like analysis for more than one dependent variable. The main purpose of MANOVA is to test whether mean differences among the independent variable on a combination of dependent variables are due to chance or a real effect. This is achieved by creating a single dependent measure from a combination of all dependent measures that maximizes the between group differences. Including more than one dependent measure improves the researcher?s chance of discovering what can change between different treatments or measures that more clearly defines the group."
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Gender and Leadership, 2006.
This paper is a research proposal to investigate the effects of gender-related leadership styles on the ability of male and female employees to relate to others.
1,355 words (approx. 5.4 pages), 5 sources, APA, $ 45.95
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Abstract
This paper examines the following research question: "To what extent, will there be a statistically significant effect, at a confidence level of .05, of male and female leadership styles (authoritarian, laissez-faire, democratic) on the ability of employees to self-disclose (relate oneself) to significant others as measured by the Jourard self-disclosure questionnaire?" The author points out that to maintain the research integrity as to the reliability and validity of the measurement data and statistical data analysis, the data collection will adhere to both pre-data collection and during collection procedures. The paper relates that, as the proposed study is seeking to determine the effects of an independent or treatment variable on the outcome or dependent variable, an orthogonal analysis of variance (ANOVA), which is an inferential parametric statistic, will be used to statistically analyze the data.
Table of Contents
Introduction and Conceptual Framework
Operational Definitions
Gender
Authoritarian Leadership Style
Laissez-faire Leadership Style
Democratic Leadership Style
Self-Disclosure
Data Collection
Statistical Data Analysis Procedure
Measurement Instrument
From the Paper
"For the proposed investigation, the environment from which the sample of both male and female employees and male and female managers will be selected will be from two different manufacturing environments wherein each manufacturing operation has at 6 male managers and 6 female managers who represent, equally all three leadership styles. The number of employees to be sampled will be 60 males and 60 females and are equally distributed among the three leadership style managers and business environments."
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Global Sanitary Health Conditions, 2006.
This paper is an empirical study of World Health Organization data evaluating the relationship of sanitary health conditions to the number of cases of HIV and tuberculosis.
7,765 words (approx. 31.1 pages), 11 sources, APA, $ 168.95
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Abstract
This paper explains that home-based care is a strategy increasingly relied on by many countries adversely affected by HIV/AIDS because they have weak health systems and infrastructures and are overwhelmed by the volume of patients requiring long-term care, and yet, their sanitation and hygiene, which underpin these home care strategies, are often poor. The author uses variables such as the number of people living with HIV, GDP/Capita (US$), expenditure on health per capita (US$), access to improved water resources in urban and rural areas, access to better sanitation facilities in urban and rural areas, prevalence of contraceptives (which serves to explain the sexual behavior) and the number of new tuberculosis (TB) cases detected in a year. The paper is based on a statistical regression procedure including ANOVA on all the selected variables with the number of people with HIV and tuberculosis living in 70 countries; the data is reported by organizing these countries into global regional zones.
Table of Contents
Analysis of Data for the World
AFR (African Region)
HIV
Tuberculosis
South-East Asian Region
HIV
TB Cases
West-Pacific Region
HIV
The Eastern Mediterranean Region
HIV Cases
TB Cases
American Region
Data
HIV Cases
TB Cases
European Region (EUR)
HIV Dependent
Concluding Remarks
From the Paper
"While in many African countries, everyone is vulnerable to HIV/AIDS, the people worst affected are those living in poor, over crowded areas that lack adequate sanitary facilities, water supply, and medical care. Having a potable water supply and latrine close to one's home is a basic human right. Access to adequate water supply and sanitation facilities helps people to live healthier lives, free from the risks of water and sanitation related illnesses and affords them the dignity that is due to them being human being. For a person living with HIV/AIDS access to water and sanitation facilities is especially critical. The risks posed by poor facilities can be fatal. It is an undeniable fact that poverty goes hand-in-hand with inadequate hygiene and sanitation facilities and people living in over crowded slum areas severely face this inadequacy. It is observed from the data obtained from WHO that the incidence of HIV is positively correlated with absolute poverty (in terms of income <$1) by a factor 0.25 and with the Gini coefficient by a factor of 0.21. In this study, data have been analyzed on various variables and has made an effort to explain the correlations and trends for each of the regions classified by the WHO."
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Mortality Rates between SUV and non-SUV Automobile Drivers, 2005.
This paper is a research proposal to investigate the differences in mortality rates due to motor vehicle accidents between SUV and non-SUV automobile drivers.
3,650 words (approx. 14.6 pages), 7 sources, MLA, $ 101.95
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Abstract
This paper explains that the popular SUVs are believed to be significantly more dangerous than mid-sized cars even though SUVs are marketed as being safer than standard passenger cars. The author lists the independent (treatment) variables of the proposed study as (1) the vehicle type, (2) geographic location and (3) gender of driver; the identified measurement (dependent) variable will be the mortality rate of drivers between the ages of 25 and 45 who are involved in vehicular accidents. The paper states that, as the proposed research project seeks to determine whether or not there exists a relationship and differences between the independent variable and dependent, along with interaction effects, the preferred method of statistical data analysis is a correlation technique and an analysis of variance (ANOVA), which will be a modified orthogonal analysis of variance that will accommodate possible unequal cell frequencies.
Table of Contents
Introduction
History of the Motor Vehicle
The Psychology of Driving
Research Question and Hypothesis
Research Design
Statistical Data Analysis
Data Collection Procedures
Study Limitations
Definition of Terms
Literature Review
Expected Results
From the Paper
"Automobiles, and those who drive them, in today's society, and not unlike any era in automotive history, have gone beyond the utilitarian function and have become a symbol of significance, namely, a status symbol, a coming of age symbol, a symbol of independence, and a symbol of virility. Summed up, driving has become, to a great extent, a personality trait in as much as there are thrill seekers, risk takers, and offensive protagonists. In fact, the plaguing question is whether or not distinctive personalities drive in different ways and whether or not each personality can be aligned with a certain automobile. Although volumes can be written on the psychology of the automobile and the American driver the purpose of this report is not to eulogize the automobile nor paint a psychological portrait of the American driver, rather to investigate something a little more important, yet somewhat commonplace, namely, the mortality accident rate between two commonplace American type vehicles - the Sport Utility Vehicle (SUV) and what is best described as the passenger car that are involved in fatal accidents."
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Statistics, 2002.
Examines a variety of statistical procedures and shows how statistics analysis company, Polk Company, applies some of them for their analytical objectives.
6,284 words (approx. 25.1 pages), 4 sources, APA, $ 146.95
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Abstract
Statistics refers to the processes of collecting, organizing, analyzing and presenting data in forms usable for policy analysis, decision-making and other important tasks confronting people and organizations in contemporary society. It is within this framework that Polk Company, one of America's oldest and largest consumer marketing firms, operates.
This study considers the application at the Polk Company of 11 tasks associated with the processes of collecting, organizing, analyzing and presenting data. In each instance, the data management or statistical analysis function is defined, the learning process is explained within the context of the Kolb Model, and an illustration of the application of the data management or statistical analysis function is presented. The 11 data management or statistical analysis functions are (1) organizing data, (2) averages and variations, (3) elementary probability theory, (4) normal distribution, (5) binomial distribution, (6) sampling distribution, (7) estimation, (8) hypothesis testing, (9) regression and correlation, (10) chi square and analysis of variance (ANOVA) which is based on the F statistic and (11) non-parametric statistics.
From the Paper
"Type 1 learners, when working with hypotheses, tend to review available data without bias and study and consider the data from a variety of perspectives to develop workable hypotheses related to analytical objectives. Type 2 learners would approach the task by developing theoretical models upon which to base hypotheses, and then study and consider the data from a variety of perspectives in which model best supports the development of workable hypotheses. Type 3 learners would approach the task by developing theoretical models upon which to base hypotheses, and then experiment with alternative hypotheses to determine how best to achieve analytical objectives. Type 4 learners would review available data without bias, and then experiment with alternative hypotheses to determine how best to achieve analytical objectives."
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