Sminaire de recherche pmp 2me anne Collectivits territoriales

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Séminaire de recherche (pmp 2ème année) Collectivités territoriales – institutions et politiques Andreas Ladner

Séminaire de recherche (pmp 2ème année) Collectivités territoriales – institutions et politiques Andreas Ladner Master pmp automne 2015

 «Idée du cours» ≠ Course in methodology and research design Attempt to write

«Idée du cours» ≠ Course in methodology and research design Attempt to write a scientific paper Learning by doing Understanding by applying | Diapositive 2 |

Simple questions – simple answers? • What is a variable? • Why hypotheses? •

Simple questions – simple answers? • What is a variable? • Why hypotheses? • Why theory? | Diapositive 3 |

http: //moodle 2. unil. ch/course/view. php? id=4814 | Diapositive 4 |

http: //moodle 2. unil. ch/course/view. php? id=4814 | Diapositive 4 |

Plan du cours 1. Research Methods and Design 2. Field and Data 3. Statistical

Plan du cours 1. Research Methods and Design 2. Field and Data 3. Statistical Tools 4. Basics about Swiss Municipalities 5. Example Deliveries (présentation, travail de séminaire)

From Ontology to Techniques (-> Prof. Benoît Rihoux) • Ontological level (conceptions of the

From Ontology to Techniques (-> Prof. Benoît Rihoux) • Ontological level (conceptions of the nature of things) • Epistemological level (conception of science) • Methodological level (research approach and methods) • Technical level – different techniques within a methodological approach | Diapositive 6 |

Ontological level • A discourse about the nature of things. Contains fundamental assumptions which

Ontological level • A discourse about the nature of things. Contains fundamental assumptions which have to be accepted. It is a general orientation about the world • Different competing ontological discourses are religious, scientific or philosophical/normative | Diapositive 7 |

Epistemological level • Conception of science and its goals, role of the scientist •

Epistemological level • Conception of science and its goals, role of the scientist • Different epistemological positions are: – – – Positivism Post-positivism; realism Constructivism (radical/moderate) -> F Advocacy-driven, participatory Pragmatism | Diapositive 8 |

Source: B. Rhioux Differences | Diapositive 9 |

Source: B. Rhioux Differences | Diapositive 9 |

Methodological level Approaches/methods used: • Qualitative • Quantitative • Comparative • Mixed/integrated | Diapositive

Methodological level Approaches/methods used: • Qualitative • Quantitative • Comparative • Mixed/integrated | Diapositive 10 |

Techniques Way to analyse or test something Interviews Analysis of Documents Surveys Secondary Data

Techniques Way to analyse or test something Interviews Analysis of Documents Surveys Secondary Data Analysis Experiments … | Diapositive 11 |

Drivers of research • Problem-driven research • Output-driven research • Theory-driven research • Method-driven

Drivers of research • Problem-driven research • Output-driven research • Theory-driven research • Method-driven research | Diapositive 12 |

Research Design (according to Rhioux) | Diapositive 13 |

Research Design (according to Rhioux) | Diapositive 13 |

Variables • Variables vary • Dependent and independent variables • Implied causality | Diapositive

Variables • Variables vary • Dependent and independent variables • Implied causality | Diapositive 14 |

Examples IV DV IV CV IV DV IV/CV DV IV ? | Diapositive 15

Examples IV DV IV CV IV DV IV/CV DV IV ? | Diapositive 15 | DV

Hypotheses • Hypothesis = expected influence of (at least) one variable (IV) on a

Hypotheses • Hypothesis = expected influence of (at least) one variable (IV) on a other variable (DV) • Can be tested (!) • Based on previous observations or theoretical expectations • Formulated ex-ante (!) | Diapositive 16 |

Theory • Theory = explanatory framework for observations • From theory follows a number

Theory • Theory = explanatory framework for observations • From theory follows a number of possible hypotheses that can be tested in order to provide support for, or challenge, theory. • General rules which help to understand society, institutions, individuals, etc. • Makes things more predictable | Diapositive 17 |

Comparative (advantages) for example: Political interest in Switzerland! ESS_2003_CH: Very interested: 14. 2; %,

Comparative (advantages) for example: Political interest in Switzerland! ESS_2003_CH: Very interested: 14. 2; %, quite interested: 46. 4 %

European Social Survey 2002/03 Political interest

European Social Survey 2002/03 Political interest

Remember: Research is … • Scientific (rational, objective) • Post-positivism, realism n ai M

Remember: Research is … • Scientific (rational, objective) • Post-positivism, realism n ai M • (Quantitative (comparative)) | Diapositive 20 | !!! m • Explaining (and describing) ea str • Theory driven

Literature • Becker, H. S. (1998) Tricks of the trade: how to think about

Literature • Becker, H. S. (1998) Tricks of the trade: how to think about your research while you're doing it, Chicago: University of Chicago Press. • Creswell, J. W. (2009) Research design. Qualitative, quantitative and mixed methods approaches, 3 rd edn. London: Sage. • Moses, J. W. and Knutsen, T. L. (2007) Ways of knowing: competing methodologies in social and political research, New. York: Palgrave Macmillan. • Moses, J. , Rihoux, B. and Kittel, B. (2005) Mapping political methodology: reflections on a European perspective. European Political Science - EPS 4, 55 -68. | Diapositive 21 |

Plan du cours 1. Research Methods and Design 2. Field and Data 3. Statistical

Plan du cours 1. Research Methods and Design 2. Field and Data 3. Statistical Tools 4. Basics about Swiss Municipalities 5. Example Deliveries (présentation, travail de séminaire)

Enquêtes auprès des secrétaires communaux (1988, 1994, 1998 et 2005, 2009) | Diapositive 23

Enquêtes auprès des secrétaires communaux (1988, 1994, 1998 et 2005, 2009) | Diapositive 23 |

Enquêtes: 1988, 1994, 1998, 2005, 2009 et 2016

Enquêtes: 1988, 1994, 1998, 2005, 2009 et 2016

 • Soziologisches Institut der Universität Zürich • Mitarbeit: • Kompetenzzentrum für Public Management

• Soziologisches Institut der Universität Zürich • Mitarbeit: • Kompetenzzentrum für Public Management der Universität Bern (KPM) • Institut de hautes études en administration publique (IDHEAP)

Themen der Befragungen • 1988: Gemeindeschreiber 1: Politische Akteure, politische Systeme • 1994: Gemeindeschreiber

Themen der Befragungen • 1988: Gemeindeschreiber 1: Politische Akteure, politische Systeme • 1994: Gemeindeschreiber 2: Leistungsgrenzen • 1998: Gemeindeschreiber 3: Gemeindereformen • 2005: Gemeindeschreiber 4: Gemeindereformen, Leistungsgrenzen, politische Systeme und Akteure • 2009: Gemeindeschreiber 5: Gemeindereformen, Leistungsgrenzen, politische Systeme und Akteure, Gemeindeversammlung • 2009: 1. Gesamtschweizerische Befragung der Exekutivmitglieder => http: //andreasladner. ch/gemeindeforschung/uebersicht. htm

http: //andreasladner. ch/gemeindeforschung/uebersicht. htm | Diapositive 27 |

http: //andreasladner. ch/gemeindeforschung/uebersicht. htm | Diapositive 27 |

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Plan du cours 1. Research Methods and Design 2. Field and Data 3. Statistical

Plan du cours 1. Research Methods and Design 2. Field and Data 3. Statistical Tools 4. Basics about Swiss Municipalities 5. Example Deliveries (présentation, travail de séminaire)

33 Titre de la présentation vendredi 11 février 2022

33 Titre de la présentation vendredi 11 février 2022

Main procedures • Descriptives • Frequencies • Crosstabs • Correlations • Regressions • Multi-level

Main procedures • Descriptives • Frequencies • Crosstabs • Correlations • Regressions • Multi-level analyses • … | Diapositive 34 |

Plan du cours 1. Research Methods and Design 2. Field and Data 3. Statistical

Plan du cours 1. Research Methods and Design 2. Field and Data 3. Statistical Tools 4. Basics about Swiss Municipalities 5. Example Deliveries (présentation, travail de séminaire)

Swiss municipalities - ideal laboratory for research N = 2324! | Diapositive 36 |

Swiss municipalities - ideal laboratory for research N = 2324! | Diapositive 36 |

Characteristics w Origin of municipalities between the 14 th and 19 th century w

Characteristics w Origin of municipalities between the 14 th and 19 th century w 1874: All citizens have the same rights in all municipalities w 1998: First mentioning of municipalities in the Swiss Constitution (Art. 50) w Public bodies appointed by the public law of the cantons w Largely autonomous: municipalities can choose an appropriate structure, levy taxes, and independently perform tasks

Size of municipalities (%)

Size of municipalities (%)

Size and canton

Size and canton

Different numbers of municipalities per Canton

Different numbers of municipalities per Canton

Social, socio-economic, political and cultural characteristics • rural – urban • economic structure •

Social, socio-economic, political and cultural characteristics • rural – urban • economic structure • language • confession • financial resources • political system • parties and party preferences • …. Often used as independent variables! | Diapositive 41 |

Possible characteristics of interest (dependent variables) • Political Participation • Existence of political parties

Possible characteristics of interest (dependent variables) • Political Participation • Existence of political parties • Representation of women • Difficulties to find candidates • Size of the local administration • Autonomy • New Public Management reforms • Amalgamation • …. | Diapositive 42 |

Plan du cours 1. Research Methods and Design 2. Field and Data 3. Statistical

Plan du cours 1. Research Methods and Design 2. Field and Data 3. Statistical Tools 4. Basics about Swiss Municipalities 5. Example Deliveries (présentation, travail de séminaire)

Ideal structure of a paper • Introduction: research question/problem/puzzle, why this paper? (with respect

Ideal structure of a paper • Introduction: research question/problem/puzzle, why this paper? (with respect to the public it addresses) • Theory and results from other studies • What we want to find out/test, hypotheses • Data, specific characteristics of the context, operationalization and measurement of the variables • Analyses, results • Conclusion: importance, reach and limits of the results, implications for further studies (So what? ) | Diapositive 44 |

How did the Swiss municipalities react to the financial and economic crisis? | Diapositive

How did the Swiss municipalities react to the financial and economic crisis? | Diapositive 45 |

Introduction • Research question: How did Swiss municipalities react? • Important question: Different strategies

Introduction • Research question: How did Swiss municipalities react? • Important question: Different strategies • Good setting to answer this question: Descretion and autonomy • Relevant for theory and policy makers | Diapositive 46 |

Theory ? • Austerity • Deficit spending (Keneys) | Diapositive 47 |

Theory ? • Austerity • Deficit spending (Keneys) | Diapositive 47 |

Empirical Evidence so far? | Diapositive 48 |

Empirical Evidence so far? | Diapositive 48 |

Research Questions • Impact of size and on the perception of the crisis •

Research Questions • Impact of size and on the perception of the crisis • Smaller municipalities are less likely to use countercyclical measures • Size, affectedness, policy learning and culture affect the reaction | Diapositive 49 |

Not too much affected but larger municipalities are more affected | Diapositive 50 |

Not too much affected but larger municipalities are more affected | Diapositive 50 |

Larger municipalities react more often | Diapositive 51 |

Larger municipalities react more often | Diapositive 51 |

Actions taken | Diapositive 52 |

Actions taken | Diapositive 52 |

Explaining the reaction | Diapositive 53 |

Explaining the reaction | Diapositive 53 |

Explaining deficit spending | Diapositive 54 |

Explaining deficit spending | Diapositive 54 |

Explaining Austerity Policy | Diapositive 55 |

Explaining Austerity Policy | Diapositive 55 |

Conclusion ? | Diapositive 56 |

Conclusion ? | Diapositive 56 |

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Plan du cours 1. Research Methods and Design 2. Field and Data 3. Statistical

Plan du cours 1. Research Methods and Design 2. Field and Data 3. Statistical Tools 4. Basics about Swiss Municipalities 5. Example Deliveries (présentation, travail de séminaire)

Scientific journals • Rankings • Citations • Jobs | Diapositive 59 |

Scientific journals • Rankings • Citations • Jobs | Diapositive 59 |

http: //www. scimagojr. com/journalrank. php | Diapositive 60 |

http: //www. scimagojr. com/journalrank. php | Diapositive 60 |

Top journals «Social Science» | Diapositive 61 |

Top journals «Social Science» | Diapositive 61 |

Top journals «Public Administration» | Diapositive 62 |

Top journals «Public Administration» | Diapositive 62 |

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Publish or Perish | Diapositive 64 |

Publish or Perish | Diapositive 64 |

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Different sources – different results Restricted access • Web of Science (by Thomson Reuters)

Different sources – different results Restricted access • Web of Science (by Thomson Reuters) and • Scopus (by Elsevier) Free access • eigenfactor, Cite. Seer, Research Papers in Economics or Citebase. | Diapositive 66 |

Deliveries Scientific paper (not more than 6000 words) containing: A: Research question B: Theoretical

Deliveries Scientific paper (not more than 6000 words) containing: A: Research question B: Theoretical arguments C: Results D: Discussion of the results Presentation (10 – 12 minutes) | Diapositive 67 |

Travail de séminaire (en groupe) Define an comparative analytical framework using different characteristics of

Travail de séminaire (en groupe) Define an comparative analytical framework using different characteristics of the territory (municipalities) as independent variables. Variables to be explained: quality of democracy, institutional settings, economic performance, policies, etc. | Diapositive 68 |

For next lesson • Field of interest • Research question • Dependent variable •

For next lesson • Field of interest • Research question • Dependent variable • Independent variables | Diapositive 69 |