Very often the interesting variables are explained by several underlying variables and in statistical analyses it is common to study the relationship between variables and groups of variables. Because of this multivariate analysis is commonly used in both science and industry. There are two problem with both univariate and multivariate analyses. One is when the variables are correlated. The other is when the number variables of exceeds the number of observations which makes the matrices algebra used in the analysis impossible to execute.

Very often the interesting variables are explained by several underlying variables and in statistical analyses it is common to study the relationship between variables and groups of variables. Because of this multivariate analysis is commonly used in both science and industry. There are two problem with both univariate and multivariate analyses. One is when the variables are correlated. The other is when the number variables of exceeds the number of observations which makes the matrices algebra used in the analysis impossible to execute.

Very often the interesting variables are explained by several underlying variables and in statistical analyses it is common to study the relationship between variables and groups of variables. Because of this multivariate analysis is commonly used in both science and industry. There are two problem with both univariate and multivariate analyses. One is when the variables are correlated. The other is when the number variables of exceeds the number of observations which makes the matrices algebra used in the analysis impossible to execute.

 This paper is made on behalf of Statistics and Research Åland, ÅSUB. The aim is to explain the turnover for companies in Åland, with appropriate variables. The main study variables are variables that consist of the Swedish and Finnish activity indices. The study variables also include variables which consist of tourists from Sweden and Finland and the introduction of the Euro in Finland. The data used is from the period January 1996 to June 2008.Different regression models for the turnover are tried and explanatory variables are selected by use of stepwise regression, backward elemination and forward selection. The final model includes activity indices for Sweden and Finland, the introduction of the Euro, tourists from Finland and an autoregressive component of order one .

The main objective of this study is to divide a number of colorectal cancer cases into subgroups based on their molecular features using cluster analysis. The data used is supplied by a research group at Pathology, the Department of Medical Biosciences, Umeå University, and consists, after some preparation, of 455 observations which is a larger data set than many similar studies. The molecular variables that the clustering is based on are CIMP (CpG Island Methylator Phenotype), MSI (Micro Satellite Instability), BRAF- and KRAS-mutations. These are categorical variables and consequently the clustering method used is PAM (Partitioning Around Medoids) which is particularly useful with data on diverse variable level. The final analysis results in four subgroups that are represented by different combinations of attributes on the aforementioned variables.

The main objective of this study is to divide a number of colorectal cancer cases into subgroups based on their molecular features using cluster analysis. The data used is supplied by a research group at Pathology, the Department of Medical Biosciences, Umeå University, and consists, after some preparation, of 455 observations which is a larger data set than many similar studies. The molecular variables that the clustering is based on are CIMP (CpG Island Methylator Phenotype), MSI (Micro Satellite Instability), BRAF- and KRAS-mutations. These are categorical variables and consequently the clustering method used is PAM (Partitioning Around Medoids) which is particularly useful with data on diverse variable level. The final analysis results in four subgroups that are represented by different combinations of attributes on the aforementioned variables.

The main objective of this study is to divide a number of colorectal cancer cases into subgroups based on their molecular features using cluster analysis. The data used is supplied by a research group at Pathology, the Department of Medical Biosciences, Umeå University, and consists, after some preparation, of 455 observations which is a larger data set than many similar studies. The molecular variables that the clustering is based on are CIMP (CpG Island Methylator Phenotype), MSI (Micro Satellite Instability), BRAF- and KRAS-mutations. These are categorical variables and consequently the clustering method used is PAM (Partitioning Around Medoids) which is particularly useful with data on diverse variable level. The final analysis results in four subgroups that are represented by different combinations of attributes on the aforementioned variables.

The main objective of this study is to divide a number of colorectal cancer cases into subgroups based on their molecular features using cluster analysis. The data used is supplied by a research group at Pathology, the Department of Medical Biosciences, Umeå University, and consists, after some preparation, of 455 observations which is a larger data set than many similar studies. The molecular variables that the clustering is based on are CIMP (CpG Island Methylator Phenotype), MSI (Micro Satellite Instability), BRAF- and KRAS-mutations. These are categorical variables and consequently the clustering method used is PAM (Partitioning Around Medoids) which is particularly useful with data on diverse variable level. The final analysis results in four subgroups that are represented by different combinations of attributes on the aforementioned variables.

In this study the overall aim is to find conditions for greater inclusion of pupils with SEN in X county by investigating teachers' attitudes and views on inclusion. What are the variables that may affect teachers' attitudes towards inclusion. The variables that will be studied include gender, workexperience, what age of students teachers work with and teachers' subjectknowledge. It is based on a system theory perspective with a pragmatic approach to explore how groups of activities involving or affecting each other. It is a quantitative study with a surveys selected as the method.

Previous research has confirmed that the ability to repeat non-words has a close connection to a child?s language acquisition (Adams & Gathercole, 2000; Gray, 2003; Sahlén, Reuterskiöld-Wagner, Nettelbladt & Radeborg, 1999). It is also known that a repetition task is aided if the word is well known to the child (Roy & Chiat, 2004; Sahlén, m.fl., 1999). A relatively under-investigated area is that of the influence of prosodic variables on repetition of words and non-words.In the current study, 44 Swedish children between the ages of four and six years with typical language development were tested regarding word- and non-word repetition abilities. The words and non-words were matched based on stress, tonal word accent and number of syllables.

Today patients are more aware of their rights regarding their own care. They are more informed, more engaged and have more and individual requirements, which leads to increased demands for information and participation increases. The Health Act sets out the patients´ right to participation. Participation increases patient satisfaction with care, promotes healing and increases adherence to health care advise. The patient doesn´t always experience participation in their own care to the extent they wish, which suggests that nurse?s does not always succeed in getting the patient involved.

The purpose of this research is to evaluate traditional market segmentation variables, as criticism has been directed towards these variables. Based on our problem discussion we find it motivating to undertake investigation in order to understand which connotations an ethnographic approach will provide. Methodology:We have applied an ethnographic approach, which has enabled us to attain under the surface knowledge from our respondents. Theoretical perspective:As we wanted to evaluate existing traditional segmentation variables, we decided to only include theory regarding these variables. Empirical data:In order to collect our data, we observed seven respondents at Ikea and conducted observations and in-depth interviews in their homes.

This essay in how to create a brand identity is a result of a case study of the Spanish mobilephone company Xfera and their new brand ?Yoigo?. Our object was to identify the critical variables in the process of building a brand identity. To achieve this we collected data about the company through several interviews with respondents with good insight in the company. The critical variables that we obtained by analyzing the interviews are presented in an empirical driven model.

Background: Every day patient´s get isolated in hospitals as a consequense of infection control purposes. Physical isolation can result in lack of human contact and a new unknown environment for the patient. Those two factors can easily cause stress within the patient and create anxiety for the future. Aim: The aim of the study was to describe patient´s experience of being nursed in an isolation room. Method: The method that was used was a literature research, where earlier research findings were read and put together.

This essay is about democracy and how a democracy index can be used as a tool to illustratethe gap between reality and ideal. The purpose of this study can be expressed by two researchquestions: Does the Economist Intelligence Unit's (EIU) democracy index illustrate thedistance between reality and the ideal of democracy presented by Dahl? and Can the EIU'sdemocracy index be modified by a) internal adjustments and b) using the variables includedin World Economic Forum?s (WEF) equality index?By using a combination of theories (Dahl?s theory of democracy, Rawls theory of justice andchosen theories critical to liberal democracy) as an analytical framework the following twoquestions have been answered:1) Which of the variables included in the EIU's democracy index have the potential to capturethe level of political equality?2) Which of the variables included in the WEF?s equality index have the potential to capturethe degree of political equality?By using a quantitative method the study?s third and last question has been answered:3) How strong is the rank correlation between the EIU?s democracy index and the WEF?sequality index, that is; how strong is the rank correlation coefficient (rho)?The data presented by the WEF?s equality index indicate that women are systematicallydiscriminated against as a group. From a democratic perspective the EIU may need tomeasure inequalities at a group level in order to capture the lack of political equality betweenindividuals. By reformulating some of the EIU?s variables, by revising the EIU?s point systemand by using the variables included in the WEF's equality index to extend EIU?s democracyindex, the chances of capturing the gap between reality and the ideal of democracy presentedby Dahl would likely increase..