<p>The use of marketing research panels are a more and more frequently used source of information for studies within many different branches. The purpose of this report is to investigate the demographic composition of panels and compare it with the population of Sweden, a possible change in behaviour of respondents, and if the source of recruitment is the cause of possible differences in study results. The study was commissioned by Norstats Linkoping office. Sources for the data material include Norstat’s recruitment process and their two main panels with different recruitment sources. To enable a deeper investigation of behaviour we also constructed a survey that was sent to 2,714 members of Norstat’s internet panels.</p><p>The statistical analysis includes contingency table analysis, multiple logistic regression, and Poisson regression. The results show that the demographic composition does not fully cover all the aspects of the Swedish population and some groups are less represented than others. The behaviour tends to differ between panel members that have responded to three or less surveys compared to members that have responded to twenty or more surveys. Source of recruitment does not seem to affect the results of studies, but it has some effect on the demographic composition of marketing research panels.</p> / <p>Användandet av paneler som källa vid undersökningar har den senaste tiden blivit en allt vanligare företeelse. Denna rapport har för avsikt att undersöka panelers demografiska sammansättning och överensstämmande med Sveriges befolkning, eventuell ändring av svarsbeteende samt huruvida rekryteringskällan ger upphov till kvalitetsskillnader hos medlemmar i en panel. Företaget Norstat har med sitt kontor i Linköping figurerat som uppdragsgivare till arbetet. Datamaterialet till studien har uppkommit från Norstats rekryteringsprocess samt från företagets två huvudpaneler med olika rekryteringskällor. För att djupare undersöka svarsbeteende konstruerade vi även en enkätundersökning som skickades ut till 2 714 medlemmar i Norstats internetpaneler.</p><p>Den statiska analysen innefattar χ2-test, multipel logistisk regression samt Poissonregression. Resultaten påvisade att den demografiska sammansättningen i panelen inte fullt ut speglade Sveriges befolkning samt att vissa grupper undertäcks i högre utsträckning än andra. Svarsbeteendet hos medlemmar i paneler har en tendens att ändras från det att medlemmen har svarat på en till tre undersökningar, till det att den har svarat på tjugo undersökningar eller fler. Rekryteringskällan till en panel verkar inte ge upphov till några större skillnader i svarsresultat, men däremot finns vissa skillnader i demografisk sammansättning.</p>

Arnold and Strauss (1991) 探討2x2列聯表中的3個方格 (cell) 有相同機率θ的問題，他們比較了參數θ的最大概似估計值與最大擬概似估計值，發現參數θ的最大概似估計值與最大擬概似估計值是不相同的。在本論文中，我們將2x2列聯表中的3個方格的參數值 (機率值)，從限制為相同θ，放寬為成某種比例，並證明了在一般情況下參數θ的最大概似估計值與最大擬概似估計值也不相同。我們也提出一些使參數θ的最大概似估計值及最大擬概似估計值相同的特殊條件，諸如三個方格內的觀察值跟機率值成比例或格子內的觀察值有某些特定值。本論文也透過電腦模擬的結果，發現最大概似估計式較最大擬概似估計式來得精確，而且當參數θ在參數空間之中點附近時，最大概似估計值與最大擬概似估計值的差異為最大。 / Arnold and Strauss (1991) study the cases that three of the four cells in the 2x2 contingency table have the same cell probability θ. In particular, Arnold and Strauss (1991) compare the maximum likelihood estimate (MLE) and maximum pseudolikelihood estimate (MPLE) of the parameter θ. They find that MLE and MPLE of the parameter are not the same. In this thesis, we relax the assumptions so that those three cell probabilities may not be the same and each is proportional to a parameter θ. We find that, in general, MLE’s of θ are still not the same as MPLE’s of θ. Some special cases that make MLE the same as MPLE are also given. We also find, through computer simulations, that MLE’s are accurate than MPLE’s and that the difference between MLE and MPLE is getting larger when the parameter θ is closer to the midpoint of its space.

The use of marketing research panels are a more and more frequently used source of information for studies within many different branches. The purpose of this report is to investigate the demographic composition of panels and compare it with the population of Sweden, a possible change in behaviour of respondents, and if the source of recruitment is the cause of possible differences in study results. The study was commissioned by Norstats Linkoping office. Sources for the data material include Norstat’s recruitment process and their two main panels with different recruitment sources. To enable a deeper investigation of behaviour we also constructed a survey that was sent to 2,714 members of Norstat’s internet panels. The statistical analysis includes contingency table analysis, multiple logistic regression, and Poisson regression. The results show that the demographic composition does not fully cover all the aspects of the Swedish population and some groups are less represented than others. The behaviour tends to differ between panel members that have responded to three or less surveys compared to members that have responded to twenty or more surveys. Source of recruitment does not seem to affect the results of studies, but it has some effect on the demographic composition of marketing research panels. / Användandet av paneler som källa vid undersökningar har den senaste tiden blivit en allt vanligare företeelse. Denna rapport har för avsikt att undersöka panelers demografiska sammansättning och överensstämmande med Sveriges befolkning, eventuell ändring av svarsbeteende samt huruvida rekryteringskällan ger upphov till kvalitetsskillnader hos medlemmar i en panel. Företaget Norstat har med sitt kontor i Linköping figurerat som uppdragsgivare till arbetet. Datamaterialet till studien har uppkommit från Norstats rekryteringsprocess samt från företagets två huvudpaneler med olika rekryteringskällor. För att djupare undersöka svarsbeteende konstruerade vi även en enkätundersökning som skickades ut till 2 714 medlemmar i Norstats internetpaneler. Den statiska analysen innefattar χ2-test, multipel logistisk regression samt Poissonregression. Resultaten påvisade att den demografiska sammansättningen i panelen inte fullt ut speglade Sveriges befolkning samt att vissa grupper undertäcks i högre utsträckning än andra. Svarsbeteendet hos medlemmar i paneler har en tendens att ändras från det att medlemmen har svarat på en till tre undersökningar, till det att den har svarat på tjugo undersökningar eller fler. Rekryteringskällan till en panel verkar inte ge upphov till några större skillnader i svarsresultat, men däremot finns vissa skillnader i demografisk sammansättning.

The aim of this thesis is to introduce statistical method called Correspondence analysis as a strong instrument for exploratory data analysis. The main purpose is to understand how to interpret the correspondence map, the graphical output of this method, correctly. The method is presented both in its simple version, and its extension to multivariate data. Usage of method is demonstrated on data of non-financial subjects of Czech republic, which are entered in the register of economic subjects.

There are surveys carried out repeatedly on the same set of units. In connection with such research, we are talking about the dependent samples. The aim and the contribution of this diploma thesis is a summary of available methods for analyzing data from dependent samples for both continuous and discrete variables. The Czech literature has been devoted to this topic only marginally. The theoretical part is divided into two main parts for two waves and for more waves of exploration, which are further divided according to the type of reference variable. The third part is devoted to the application of the theoretical information in a market research.

Made available in DSpace on 2016-04-27T16:58:17Z (GMT). No. of bitstreams: 1 Auriluci C Figueiredo.pdf: 465672 bytes, checksum: 1df03500d906e4b187451daa2641f78b (MD5) Previous issue date: 2000-12-12 / This work has for objective to introduce the concept of the Conditional Probability in courses of Statistics in the University. For that we elaborated, we applied and we analyzed the results of a teaching sequence taking in consideration the beginnings of a Didactic Engineering. This teaching sequence is composed of four activities that they were created, basing on Carmen Batanero's didactic situations and other, with the aim of doing the student to contemplate on circumstances that involve not only the Conditional Probability, as the concepts linked to the Theorem of the Total Probability and the Theorem of Bayes. To work with such concepts we articulated in the subjects of the activities different representation registrations: natural, symbolic language, diagram of trees and contingency table, taking as base the Theory of Registrations of Representation of Raymond Duval. We applied this sequence to students of the courses of Licentiate of Mathematics and Science of the Computation and before the those students' protocols, we concluded that our sequence aided them they decrease it the difficulties lifted by us and for the researchers and at the same time it indicated themes for future researches in the area. Enter other conclusions stood out that most of the students before subjects that involve the Conditional Probability differentiated this of the Probability of the intersection of events and I calculate it of P(A/B) of the one of P(B/A), since these if they come in the questions in natural language. However when similar subjects were presented in the language symbolic many students they showed difficulties in solving them / Este trabalho tem por objetivo introduzir o conceito da Probabilidade Condicional em cursos de Estatística na Universidade. Para isso, elaboramos, aplicamos e analisamos os resultados de uma seqüência de ensino levando em consideração os princípios de uma Engenharia Didática. Esta seqüência de ensino é composta de quatro atividades que foram criadas, baseando-se nas situações didáticas apresentadas por Carmen Batanero e outros autores, com o intuito de fazer o aluno refletir sobre circunstâncias que envolvam não só a Probabilidade Condicional, bem como os conceitos ligados ao Teorema da Probabilidade Total e o Teorema de Bayes. Para trabalhar com tais conceitos, articulamos nas questões das atividades, diferentes registros de representação: linguagem natural, simbólica, diagrama de árvore e tabela de contingência, tomando como base a Teoria de Registros de Representação de Raymond Duval. Aplicamos esta seqüência aos alunos dos cursos de Licenciatura de Matemática e Ciência da Computação e diante dos protocolos desses alunos, concluímos que nossa seqüência os auxiliou a minimizar as dificuldades levantadas por nós e pelos pesquisadores e ao mesmo tempo indicou temas para futuras pesquisas na área. Dentre outras conclusões, ressaltamos que a maioria dos alunos diante de questões que envolvam a Probabilidade Condicional diferenciavam esta da Probabilidade da Interseção de Eventos e o Cálculo da P(A/B) do de P(B/A), desde que estes se apresentassem nas perguntas em linguagem natural. No entanto, quando questões análogas foram apresentadas na linguagem simbólica, muitos alunos mostraram dificuldades em resolvê-las

<p>The aim of this degree project has been to examine, analyze and describe which intra-linguistic factors influence how relative clauses are formed in Old English.</p><p>The key to successfully performing the task of identifying which factors influences the relative causes is to examine how these factors are distributed among the relative clauses in the text. The main focus of this investigation thus was to investigate how the grammatical features of the antecedents of the relative clauses in Old English were distributed. By analyzing a text sample of the work of the Old English writer Ælfric, taken from the Dictionary of Old English Corpus at the University of Toronto, also known as the Toronto Corpus, several features of the antecedent will ideally become evident as influencing factors.</p><p>The relative clauses that are found to be relevant for this investigation in the Ælfric text sample have been categorized and analyzed in order to identify any grammatical pattern that could indicate which factors influence how relative clauses in Old English are formed. The findings have been analyzed according to quantitative and statistical principles, and the chi-square test has been employed to verify the statistical significance of these findings. By doing this some linguistic factors have been verified as influencing factors.</p>

The aim of this degree project has been to examine, analyze and describe which intra-linguistic factors influence how relative clauses are formed in Old English. The key to successfully performing the task of identifying which factors influences the relative causes is to examine how these factors are distributed among the relative clauses in the text. The main focus of this investigation thus was to investigate how the grammatical features of the antecedents of the relative clauses in Old English were distributed. By analyzing a text sample of the work of the Old English writer Ælfric, taken from the Dictionary of Old English Corpus at the University of Toronto, also known as the Toronto Corpus, several features of the antecedent will ideally become evident as influencing factors. The relative clauses that are found to be relevant for this investigation in the Ælfric text sample have been categorized and analyzed in order to identify any grammatical pattern that could indicate which factors influence how relative clauses in Old English are formed. The findings have been analyzed according to quantitative and statistical principles, and the chi-square test has been employed to verify the statistical significance of these findings. By doing this some linguistic factors have been verified as influencing factors.

This master's thesis, divided into two sections, compares in part one existing (non-)commercial systems for OLAP presentation using contingency table or graph. The main focus is put on a graph. Results received from my observations in part one are used for implementing a graphic subsystem within internet browser's environment. User friendly interface and good arrangement of displayed data are the most important tasks.

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