Regression analysis (FMÞ501M)

This is a comprehensive course in multiple-regression analysis. The goal of the course is that students develop enough conceptual understanding and practical knowledge to use this method on their own. The lectures cover various regression analysis techniques commonly used in quantitative social research, including control variables, the use of nominal variables, linear and nonlinear models, techniques that test for mediation and statistical interaction effects, and so on. We discuss the assumptions of regression analysis and learn techniques to detect and deal with violations of assumptions. In addition, logistic regression will be introduced, which is a method for a dichotomous dependent variable. We also review many of the basic concepts involved in statistical inference and significance testing. Students get plenty of hands-on experience with data analysis. The instructor hands out survey data that students use to practice the techniques covered in class. The statistical package SPSS will be used.

Social research methods (FÉL301F)

This course has three main objectives. i) that students gain a better understanding of the research process and common methods, ii) that students get training in reading and criticizing existing research, and iii) that students get training in developing research questions with respect to theoretical issues and existing research. Lectures: We discuss concepts and methodologies emphasizing i) the strengths and limitations of various methods, ii) the connections among methodologies, methods, and theoretical issues. Discussion sessions: Students read research articles and discuss research methods in relation to specific sociological topics.

Crime and Social Deviance (FÉL0A1F)

This course covers a detailed overview of theories in criminology and sociology of deviance. Students will read empirical research testing these theories in Iceland and elsewhere.

Different types of crimes and topics will be discussed in criminological/sociological light, such as gender and crime, immigration and crime.

Emphasis is placed on linking theoretical discussion with empirical research.

(In)equality and welfare in the Nordic countries (FÉL102F)

The Nordic welfare model is frequently viewed as an ideal model for other welfare state, as it has achieved the greatest success in equalizing outcomes. Iceland is a part of the nordic model, but it is different in many ways, for example with more limited support to individuals and less spending on welfare. Yet, there have been great achievements regarding equality, Iceland is generally among the countries with the highest levels of gender equality and multiple indicators that measure inequality are lowest in Iceland.

 In this course, we will go over the major sociological theories on inequality and the welfare state, and the position of Iceland will be considered both compared to the other Nordic countries as well as other welfare state in advanced, industralized nations. We will focus on the organization of the welfare state, how scholars have classified welfare states, and the consequences of the welfare state for example for health, inequality, and the opportunities that individuals have in society.

Introduction to quantitative research (FMÞ001F)

The main subject of the course is quantitative methods and statistics used in social sciences. The focus will be on research design, sample methods and designing questionnaires. The statistical part will cover descriptive and inferential statistics. Special emphasis will be on factorial ANOVA and multiple regression. Students will get practical training in data analysis using jamovi. Students can use their own data.

Survey research methods (FÉL089F)

The purpose of this course is to provide students with understanding on how to plan and conduct survey research. The course will address most common sampling design and different type of survey research (phone, face-to-face, internet, mail etc.). The basic measurement theories will be used to explore fundamental concepts of survey research, such as validity, reliability, question wording and contextual effect. The use of factor analysis and item analysis will be used to evaluate the quality of measurement instruments.  The course emphasizes students’ active learning by planning survey research and analyzing survey data.

This course is taught every other year.

Introduction to Qualitative Research (FMÞ103F)

The course’s objective is to introduce students to the diverse, academic criteria of qualitative research in social sciences and secondly that student’s gain experience in using qualitative methods. Furthermore, the course is practical in nature where each student works on an independent research assignment, which consists of designing and preparing a research project, collecting and analyzing data, and writing the main findings with guidance from the teacher. Research preparation, the creation of a research plan, data collection and analysis along with academic writing will be extensively covered during the course.

Theories in Social and human Sciences (FMÞ102F)

The course covers recent writings and currents of thought that mark, or are likely to mark, turning points in social and cultural theory. Particular care will be taken to situate theories in their historical and social contexts. Attendance to weekly 40 min. discussion classes throughout the course is compulsory. Distance learning students attend in person or via the Internet (with Zoom).

Regression analysis (FOM601M)

This is a comprehensive course in multiple-regression analysis. The goal of the course is that students develop enough conceptual understanding and practical knowledge to use this method on their own. The lectures cover various regression analysis techniques commonly used in quantitative social research, including control variables, the use of nominal variables, linear and nonlinear models, techniques that test for mediation and statistical interaction effects, and so on. We discuss the assumptions of regression analysis and learn techniques to detect and deal with violations of assumptions. In addition, logistic regression will be introduced, which is a method for a dichotomous dependent variable. We also review many of the basic concepts involved in statistical inference and significance testing. Students get plenty of hands-on experience with data analysis. The instructor hands out survey data that students use to practice the techniques covered in class. The statistical package SPSS will be used.

Regression analysis (FMÞ501M)

This is a comprehensive course in multiple-regression analysis. The goal of the course is that students develop enough conceptual understanding and practical knowledge to use this method on their own. The lectures cover various regression analysis techniques commonly used in quantitative social research, including control variables, the use of nominal variables, linear and nonlinear models, techniques that test for mediation and statistical interaction effects, and so on. We discuss the assumptions of regression analysis and learn techniques to detect and deal with violations of assumptions. In addition, logistic regression will be introduced, which is a method for a dichotomous dependent variable. We also review many of the basic concepts involved in statistical inference and significance testing. Students get plenty of hands-on experience with data analysis. The instructor hands out survey data that students use to practice the techniques covered in class. The statistical package SPSS will be used.

Health and Inequality (FÉL098F)

Social inequality impacts health. Those who are more vulnerable in society have, in general, worse health than those with more resources. In this course, we will focus on the relationship between social standing and health. Students will be introducted to the major theories within medical sociology, for example Link and Phelan´s theory of fundamental causes of disase and we will cover major empirical research in the field. One of the most important contribution of sociology is an understanding of how larger societal forces (for example, the health system and the welfare system) shape individual lives and therefore we will look at how the relationship between social standing and health is shaped by these forces. Since our health is a complex phenomenon we will also look at it from an interdisciplinary perspective, by using insights from public health, health science, antropology, and political science.

(In)equality and welfare in the Nordic countries (FÉL213F)

The Nordic welfare model is frequently viewed as an ideal model for other welfare state, as it has achieved the greatest success in equalizing outcomes. Iceland is a part of the nordic model, but it is different in many ways, for example with more limited support to individuals and less spending on welfare. Yet, there have been great achievements regarding equality, Iceland is generally among the countries with the highest levels of gender equality and multiple indicators that measure inequality are lowest in Iceland.

 In this course, we will go over the major sociological theories on inequality and the welfare state, and the position of Iceland will be considered both compared to the other Nordic countries as well as other welfare state in advanced, industralized nations. We will focus on the organization of the welfare state, how scholars have classified welfare states, and the consequences of the welfare state for example for health, inequality, and the opportunities that individuals have in society.

Survey research methods (FÉL089F)

The purpose of this course is to provide students with understanding on how to plan and conduct survey research. The course will address most common sampling design and different type of survey research (phone, face-to-face, internet, mail etc.). The basic measurement theories will be used to explore fundamental concepts of survey research, such as validity, reliability, question wording and contextual effect. The use of factor analysis and item analysis will be used to evaluate the quality of measurement instruments.  The course emphasizes students’ active learning by planning survey research and analyzing survey data.

This course is taught every other year.

Globalization (FÉL0A5F)

The course revolves around the main features and the development of globalization, with special emphasis on how it changes the surroundings of people in present times in a variety of ways.

The course is divided into three themed blocks focusing on mobilities, transnationalism and inequalities. Topics discussed within these themes revolve around how micro-level social practices connect to macrostructural processes and institutions. We will discuss how individuals, groups and organizations connect transnationally; how people, knowledge, ideas and things travel on a global scale; and how these new transnational social spaces, and mobilities within them, are changing the dynamics within the social order, including stratification and differentiation along racial, class, and gender lines. The course provides the opportunity to explore how these practises and processes impact on lived realities, including health and well-being, working lives and security. The course consists of lecturers and discussion lessons in which students will take an active role.

Crime in Iceland (FÉL0A4F)

What is criminology? Criminological data and what criminologists do.

Crime definitions and how crime can be explained and understood. Examples of different theoretical perspectives will be covered in class: Classical Criminology and Social & Psychological Theories. What kind of criminological research and research questions are used with different theories? 

Using this theoretical background, a number of crime types and topics within Icelandic criminology will be presented and discussed in class, including the following: Physical and sexual violence, alcohol and drugs in society, crime and punishment, public attitudes to crime and punishment, and social crisis and crime. 

Students write a seminar paper and a diary (portfolio) of the topics presented in class. Final exam on-site.

Advanced Seminar in Qualitative Research (FMÞ201F)

This course focuses on the variety of approaches and methods found within  research. Five qualitative approaches to inquiry are mainly in focus, namely; case study, narrative research, ethnography, phenomenology and grounded theory. Students gain a deeper experiences in data collection and in use of different methods for analyzing their qualitative data. They also gain experience in presenting their findings in written form. Additionally, students have the opportunity to reflect on their own research practices and on themselves as qualitative researchers.

Regression methods 2: Analysis of ordinal and nominal dependent variables. (FOM006F)

In the course we cover regression methods where the dependent variable is dichotomous (binary logistic regression) ordinal (ordinal regression) or multinomial. The courses emphasize application in social sciences. Students should have completed FOM401M Regression 1 that addresses assumptions and application of linear regression.  In this course we start with review of basic descriptive statistics and inferential statistics for categorical and ordinal variables. Bivariate and multivariate cross tables, percent, probabilities, ratios, odds ratios, and proportions, measures of association and chi-square test of independence.  Then we address in some details binary logistics regression with emphasize of interpreting regression coefficients. The binary logistic regression method is then extended to ordinal regression.  Then we extend the binary logistic regression method to multinomial regression. We address methods to work with different and complex sample design with and without sample weights. We will address multilevel regression methods. We will both use SPSS and R statistical packages.

Criminal Justice and Policing (FÉL007F)

This course is in direct continuation of Criminological Theory and covers a variety of issues related to crime and society. This involves, among other things, the nature of crime and criminal law, corrections and the role of police in society.

Crime and Social Deviance (FÉL0A1F)

This course covers a detailed overview of theories in criminology and sociology of deviance. Students will read empirical research testing these theories in Iceland and elsewhere.

Different types of crimes and topics will be discussed in criminological/sociological light, such as gender and crime, immigration and crime.

Emphasis is placed on linking theoretical discussion with empirical research.

(In)equality and welfare in the Nordic countries (FÉL102F)

The Nordic welfare model is frequently viewed as an ideal model for other welfare state, as it has achieved the greatest success in equalizing outcomes. Iceland is a part of the nordic model, but it is different in many ways, for example with more limited support to individuals and less spending on welfare. Yet, there have been great achievements regarding equality, Iceland is generally among the countries with the highest levels of gender equality and multiple indicators that measure inequality are lowest in Iceland.

 In this course, we will go over the major sociological theories on inequality and the welfare state, and the position of Iceland will be considered both compared to the other Nordic countries as well as other welfare state in advanced, industralized nations. We will focus on the organization of the welfare state, how scholars have classified welfare states, and the consequences of the welfare state for example for health, inequality, and the opportunities that individuals have in society.

Regression analysis (FMÞ501M)

This is a comprehensive course in multiple-regression analysis. The goal of the course is that students develop enough conceptual understanding and practical knowledge to use this method on their own. The lectures cover various regression analysis techniques commonly used in quantitative social research, including control variables, the use of nominal variables, linear and nonlinear models, techniques that test for mediation and statistical interaction effects, and so on. We discuss the assumptions of regression analysis and learn techniques to detect and deal with violations of assumptions. In addition, logistic regression will be introduced, which is a method for a dichotomous dependent variable. We also review many of the basic concepts involved in statistical inference and significance testing. Students get plenty of hands-on experience with data analysis. The instructor hands out survey data that students use to practice the techniques covered in class. The statistical package SPSS will be used.

Social research methods (FÉL301F)

This course has three main objectives. i) that students gain a better understanding of the research process and common methods, ii) that students get training in reading and criticizing existing research, and iii) that students get training in developing research questions with respect to theoretical issues and existing research. Lectures: We discuss concepts and methodologies emphasizing i) the strengths and limitations of various methods, ii) the connections among methodologies, methods, and theoretical issues. Discussion sessions: Students read research articles and discuss research methods in relation to specific sociological topics.

Introduction to quantitative research (FMÞ001F)

The main subject of the course is quantitative methods and statistics used in social sciences. The focus will be on research design, sample methods and designing questionnaires. The statistical part will cover descriptive and inferential statistics. Special emphasis will be on factorial ANOVA and multiple regression. Students will get practical training in data analysis using jamovi. Students can use their own data.

Survey research methods (FÉL089F)

The purpose of this course is to provide students with understanding on how to plan and conduct survey research. The course will address most common sampling design and different type of survey research (phone, face-to-face, internet, mail etc.). The basic measurement theories will be used to explore fundamental concepts of survey research, such as validity, reliability, question wording and contextual effect. The use of factor analysis and item analysis will be used to evaluate the quality of measurement instruments.  The course emphasizes students’ active learning by planning survey research and analyzing survey data.

This course is taught every other year.

Introduction to Qualitative Research (FMÞ103F)

The course’s objective is to introduce students to the diverse, academic criteria of qualitative research in social sciences and secondly that student’s gain experience in using qualitative methods. Furthermore, the course is practical in nature where each student works on an independent research assignment, which consists of designing and preparing a research project, collecting and analyzing data, and writing the main findings with guidance from the teacher. Research preparation, the creation of a research plan, data collection and analysis along with academic writing will be extensively covered during the course.

Theories in Social and human Sciences (FMÞ102F)

The course covers recent writings and currents of thought that mark, or are likely to mark, turning points in social and cultural theory. Particular care will be taken to situate theories in their historical and social contexts. Attendance to weekly 40 min. discussion classes throughout the course is compulsory. Distance learning students attend in person or via the Internet (with Zoom).

Criminal Justice and Policing (FÉL007F)

This course is in direct continuation of Criminological Theory and covers a variety of issues related to crime and society. This involves, among other things, the nature of crime and criminal law, corrections and the role of police in society.

Sexual Violence, Law and Justice (FÉL601M)

Over the past years, public discussion on how to address cases of sexual violence has been heated, particularly in the aftermath of the #MeToo Movement. Research shows that only a small percentage of such cases are reported to the police and only a small number of those cases lead to a conviction. This has been called a justice gap. Increasingly, we see victim-survivors of sexual violence tell their stories on social media, or in the media, and in some cases alleged offenders are named publicly which has evoked different responses amongst the public and had various consequences.

In this course, these societal developments will be explored from the perspective of sociology of law. Sociology of law uses theories and methods from the social sciences to examine the law, legal institutions, and legal behaviours, in the effort to analyse legal phenomena in their social, cultural, and historical contexts. To shed further light on the treatment of sexual violence cases, this course will also include readings from criminology, victimology, gender studies and the health sciences.

The course will seek answers to the following questions and more: Who commits sexual violence and why? How are men’s experiences of being subjected to sexual violence different from women’s experiences? Why is the legal status and rights of defendants different from that of victims? How is law in the books different from law in practice? How has the criminal justice system developed historically? What characterises legal education and the legal profession? What is the difference between legal consciousness and legal culture? How does legal justice differ from social justice? What are the advantages and disadvantages to non-traditional justice systems in comparison to traditional justice systems?

Regression analysis (FMÞ501M)

This is a comprehensive course in multiple-regression analysis. The goal of the course is that students develop enough conceptual understanding and practical knowledge to use this method on their own. The lectures cover various regression analysis techniques commonly used in quantitative social research, including control variables, the use of nominal variables, linear and nonlinear models, techniques that test for mediation and statistical interaction effects, and so on. We discuss the assumptions of regression analysis and learn techniques to detect and deal with violations of assumptions. In addition, logistic regression will be introduced, which is a method for a dichotomous dependent variable. We also review many of the basic concepts involved in statistical inference and significance testing. Students get plenty of hands-on experience with data analysis. The instructor hands out survey data that students use to practice the techniques covered in class. The statistical package SPSS will be used.

Health and Inequality (FÉL098F)

Social inequality impacts health. Those who are more vulnerable in society have, in general, worse health than those with more resources. In this course, we will focus on the relationship between social standing and health. Students will be introducted to the major theories within medical sociology, for example Link and Phelan´s theory of fundamental causes of disase and we will cover major empirical research in the field. One of the most important contribution of sociology is an understanding of how larger societal forces (for example, the health system and the welfare system) shape individual lives and therefore we will look at how the relationship between social standing and health is shaped by these forces. Since our health is a complex phenomenon we will also look at it from an interdisciplinary perspective, by using insights from public health, health science, antropology, and political science.

(In)equality and welfare in the Nordic countries (FÉL213F)

The Nordic welfare model is frequently viewed as an ideal model for other welfare state, as it has achieved the greatest success in equalizing outcomes. Iceland is a part of the nordic model, but it is different in many ways, for example with more limited support to individuals and less spending on welfare. Yet, there have been great achievements regarding equality, Iceland is generally among the countries with the highest levels of gender equality and multiple indicators that measure inequality are lowest in Iceland.

 In this course, we will go over the major sociological theories on inequality and the welfare state, and the position of Iceland will be considered both compared to the other Nordic countries as well as other welfare state in advanced, industralized nations. We will focus on the organization of the welfare state, how scholars have classified welfare states, and the consequences of the welfare state for example for health, inequality, and the opportunities that individuals have in society.

Survey research methods (FÉL089F)

The purpose of this course is to provide students with understanding on how to plan and conduct survey research. The course will address most common sampling design and different type of survey research (phone, face-to-face, internet, mail etc.). The basic measurement theories will be used to explore fundamental concepts of survey research, such as validity, reliability, question wording and contextual effect. The use of factor analysis and item analysis will be used to evaluate the quality of measurement instruments.  The course emphasizes students’ active learning by planning survey research and analyzing survey data.

This course is taught every other year.

Globalization (FÉL0A5F)

The course revolves around the main features and the development of globalization, with special emphasis on how it changes the surroundings of people in present times in a variety of ways.

The course is divided into three themed blocks focusing on mobilities, transnationalism and inequalities. Topics discussed within these themes revolve around how micro-level social practices connect to macrostructural processes and institutions. We will discuss how individuals, groups and organizations connect transnationally; how people, knowledge, ideas and things travel on a global scale; and how these new transnational social spaces, and mobilities within them, are changing the dynamics within the social order, including stratification and differentiation along racial, class, and gender lines. The course provides the opportunity to explore how these practises and processes impact on lived realities, including health and well-being, working lives and security. The course consists of lecturers and discussion lessons in which students will take an active role.

Crime in Iceland (FÉL0A4F)

What is criminology? Criminological data and what criminologists do.

Crime definitions and how crime can be explained and understood. Examples of different theoretical perspectives will be covered in class: Classical Criminology and Social & Psychological Theories. What kind of criminological research and research questions are used with different theories? 

Using this theoretical background, a number of crime types and topics within Icelandic criminology will be presented and discussed in class, including the following: Physical and sexual violence, alcohol and drugs in society, crime and punishment, public attitudes to crime and punishment, and social crisis and crime. 

Students write a seminar paper and a diary (portfolio) of the topics presented in class. Final exam on-site.

Advanced Seminar in Qualitative Research (FMÞ201F)

This course focuses on the variety of approaches and methods found within  research. Five qualitative approaches to inquiry are mainly in focus, namely; case study, narrative research, ethnography, phenomenology and grounded theory. Students gain a deeper experiences in data collection and in use of different methods for analyzing their qualitative data. They also gain experience in presenting their findings in written form. Additionally, students have the opportunity to reflect on their own research practices and on themselves as qualitative researchers.

Regression methods 2: Analysis of ordinal and nominal dependent variables. (FOM006F)

In the course we cover regression methods where the dependent variable is dichotomous (binary logistic regression) ordinal (ordinal regression) or multinomial. The courses emphasize application in social sciences. Students should have completed FOM401M Regression 1 that addresses assumptions and application of linear regression.  In this course we start with review of basic descriptive statistics and inferential statistics for categorical and ordinal variables. Bivariate and multivariate cross tables, percent, probabilities, ratios, odds ratios, and proportions, measures of association and chi-square test of independence.  Then we address in some details binary logistics regression with emphasize of interpreting regression coefficients. The binary logistic regression method is then extended to ordinal regression.  Then we extend the binary logistic regression method to multinomial regression. We address methods to work with different and complex sample design with and without sample weights. We will address multilevel regression methods. We will both use SPSS and R statistical packages.