Ethnic Hostility among Ethnic Majority and Minority Groups

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2. Social Mobility and Ethnic Hostility | Notes subsequent analysis, a dummy variables referring to mobility out of the service class did not lead to different results than the dummy variable capturing more general downward mobility experiences. 6. This is calculated as: (1 – 0.9) * 6.81 + (1 – ( 1 – 0.9) * 6.21=6.27. Note that if his father would have belonged to the socio-cultural specialists and the respondent himself would have ended up in the lowest class, we would predict a different score on the intermarriage scale, namely: 1 * 6.21 + ( 1 – 1) * 6.81 + 0.29 = 6.50. 47
Page 1 and 2: ETHNIC HOSTILITY AMONG ETHNIC MAJOR
Page 3: Promotores: prof. dr. N. D. de Graa
Page 6 and 7: Science is so much more fun when yo
Page 8 and 9: 3.4.1 Opposition to ethnic intermar
Page 10: 8.3.1 Theoretical implications for
Page 14 and 15: 1. INTRODUCTION 1.1 NEW QUESTIONS 1
Page 16 and 17: 1. Introduction | New questions ski
Page 18 and 19: 1. Introduction | The setting of th
Page 20 and 21: 1. Introduction | Research question
Page 26 and 27: Table 1.1 Outline of empirical chap
Page 28: 1. Introduction | Notes 27
Page 32 and 33: 2. SOCIAL MOBILITY AND ETHNIC HOSTI
Page 34 and 35: 2. Social Mobility and Ethnic Hosti
Page 36 and 37: social conformity favour more toler
Page 40 and 41: e more important than the infl uenc
Page 42 and 43: 2.4 RESULTS 2. Social Mobility and
Page 50 and 51: 3. THE LOCAL LIVING ENVIRONMENT AND
Page 52 and 53: epresentative data set, the Netherl
Page 54 and 55: 3. The Local Living Environment and
Page 62 and 63: Table 3.1 continued Employment stat
Page 68 and 69: Table 3.3 continued Routine non-man
Page 70 and 71: mass media, as a consequence the re
Page 72: 3. The Local Living Environment and
Page 75 and 76: erodes social cohesion. Economicall
Page 77 and 78: - the weaker the force of altruism.
Page 79 and 80: may be a negative incentive for inv
Page 81 and 82: scores thus represent less oppositi
Page 83 and 84: Table 4.1 Bivariate relationships b
Page 85 and 86: Voluntary work (0 - 1) Generalised
Page 87 and 88: Before we turn to the impact of loc
Page 89 and 90: it is impossible to pull effects of
Page 91 and 92: sample of municipalities and neighb
Page 94: Part 2 Educational Attainment and E
Page 97 and 98: on the validity of the conclusion o
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98 University 4-6 years VWO 6 years
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Doorne-Huiskes, 1995). Although gen
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education and father’s job status
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Table 5.2 Parameters estimates of M
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we also assessed whether this is in
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Table 5.3 Multi-nominal logistic re
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Table 5.4 Multi-nominal logistic re
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Transition 2 Results of the multino
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level, gender differentials are onl
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116
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hypotheses derived from Breen and G
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elated to the available economic re
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of their current track choice and i
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Table 6.1 Descriptives and bivariat
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6.4 RESULTS 6.4.1 Descriptives Acco
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Table 6.2 Hierarchical random inter
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6.4.2 Success probabilities Table 6
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Table 6.3 Multinomial conditional l
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Table 6.4 Multinomial conditional l
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Table 6.5 The impact of success pro
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theoretical construct ‘previously
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y the parents or the students. Futu
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142
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Interestingly, most previous empiri
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As argued by ECT, individuals who h
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7.2.3 Media usage, perceptions of g
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Higher educated minorities have mor
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7.3 DATA, MEASUREMENTS AND METHODS
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Table 7.2 Descriptive statistics an
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7.4 RESULTS 7.4.1 Bivariate relatio
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Table 7.3 Parameter estimates of mu
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This may be part of the explanation
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Table 7.4 Parameter estimates of mu
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7.5 CONCLUSIONS In this chapter our
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investigate the impact of negative
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8. Conclusion Ethnic Hostility amon
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ethnic groups (Statistics Netherlan
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esearch and that ideally, to explai
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and municipality, the less ethnic h
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To what extent, and for whom, do et
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In relation to the latter point, sc
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characteristics are morally sanctio
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school success, this may account to
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To derive hypotheses I once again u
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lack of identifi cation with the co
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formal sociological model is the Br
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another. Ethnic Competition Theory
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8.5 NOTES 1. Diagonal Mobility Mode
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196
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APPENDIX 2.1 DESCRIPTIVE STATISTICS
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APPENDIX 2.3 MOBILITY TABLES Mobili
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Appendix 2.3 continued Mobility typ
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The major SPSS commands used in thi
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effects only:. *Of course we need t
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status’. MODEL PROGRAM p=.5 d1=2
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*Interpretation: *What we see now i
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*Based on the parameter estimates a
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COMPUTE LOSS=-depy3*ln(pred)-(1-dep
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APPENDIX 3.2 HIERARCHICAL LINEAR IN
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APPENDIX 4.2 CORRELATIONS BETWEEN L
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APPENDIX 5.2 CELL FREQUENCIES OF ET
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APPENDIX 5.4 MULTI-NOMINAL LOGISTIC
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APPENDIX 7.1. PARAMETER ESTIMATES O
Page 233 and 234:
APPENDIX 7.2 PARAMETER ESTIMATES OF
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234
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Blau, P. M. (1977). Inequality and
Page 239 and 240:
De Graaf, P. M., & Wolbers, M. H. J
Page 241 and 242:
Groeneveld, S., & Weyers-Martens, Y
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Lehning, P. B. (1998). Towards a mu
Page 245 and 246:
Pettigrew, T. F., & Meertens, R. W.
Page 247 and 248:
Sniderman, P. M., Peri, P., De Figu
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Van de Werfhorst, H. G., Sullivan,
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250
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dan ook dat de relatie tussen oplei
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De invloed van de lokale leefomgevi
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Hiermee verlaat ik de hoofdvraag va
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Verwachtingen over toekomstig schoo
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weerstand tegen uitgesloten etnisch
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262
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264
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17) Tanja van der Lippe, (1993), Ar
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55) Mérove Gijsberts, (1999), The
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96) Johan van Wilsem (2003), Crime
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135) Jan Reitsma (2007), Religiosit
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Ethnic Hostility among Ethnic Majority and Minority Groups

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