Skills (3)
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117 Questions15044 Followers
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25 Questions6538 Followers
Education
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Sep 1993–
Sep 1994Radboud Universiteit Nijmegen
sociology · masterNetherlands · Nijmegen -
Aug 1991–
Sep 1993Radboud Universiteit Nijmegen
sociology · bachelorNetherlands · Nijmegen
Awards & achievements
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Sep 2010Award: Biennial University Teaching Award.
Other
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LanguagesEnglish German
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Scientific MembershipsICS
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Journal RefereesASR JSR Sociological Methodology
Questions and Answers (3) View all
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Answer added in Applied Statistics5 Statistical methods: compare regression coefficient of different biomarkers between two models.By Jin-Ha Yoon · Korea Workers' Compensation & Welfare ServiceManfred Grotenhuis · Radboud Universiteit NijmegenIn addition to George Halkos, you may consider standardized variables (z-variables) and then run the Y = b0 + b1*ZX1 + b2*ZX2 model. b1 and b2 are c... [more]In addition to George Halkos, you may consider standardized variables (z-variables) and then run the Y = b0 + b1*ZX1 + b2*ZX2 model. b1 and b2 are comparable then. If you like to test b1=b2 you have to calculate SE b1-b2 which depends on SE b1 SE b2 and the correlation between b1 and b2 as these parameters most probably are correlated. In SEM (like AMOS in SPSS) you can impose Zb1=Zb2 easily. Good luck.Following
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Answer added in Statistical Analysis38 What is the best way to logarithmically transform an outcome variable that has zero as a meaningful value?By Rachel Patzer · Emory UniversityManfred Grotenhuis · Radboud Universiteit NijmegenAgree with John. If you really like to use a linear function then add a very small number to the number of events when number of events = 0, say 0... [more]Agree with John. If you really like to use a linear function then add a very small number to the number of events when number of events = 0, say 0.000001.Following
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Answer added in Statistics2 Should I do another bootstrapping on a percentile regression, which is based on bootstrapped, bivariate data?By Stefan Edwards · Aarhus UniversityManfred Grotenhuis · Radboud Universiteit NijmegenI've done something alike for a combination of 4 discrete random variables a,b,c,d. The combination was ( (a - b) * (c - d) ). My solution was to take... [more]I've done something alike for a combination of 4 discrete random variables a,b,c,d. The combination was ( (a - b) * (c - d) ). My solution was to take a random sample of 2000, calculate mean y and repeat this 10 million times. From that sampling distribution (mean y) I took 95% CI. Anything close to your problem? Best, ManfredFollowing
Publications (48) View all
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Article: The reliability of a two-item scale: Pearson, Cronbach, or Spearman-Brown?
Rob Eisinga, Manfred Te Grotenhuis, Ben PelzerInternational Journal of Public Health 10/2012; · 2.54 Impact Factor -
Article: Saddlepoint approximations for the sum of independent non-identically distributed binomial random variables
Rob Eisinga, Manfred Te Grotenhuis, Ben PelzerStatistica Neerlandica 01/2012; · 0.50 Impact Factor -
SourceAvailable from: Rense Nieuwenhuis
Article: Influence.ME: tools for detecting influential data in mixed effects models
Rense Nieuwenhuis, Manfred Te Grotenhuis, Ben PelzerR Journal. 01/2012; 4(2):1-10. -
SourceAvailable from: Manfred Grotenhuis
Article: Interviewer BMI effects on under- and over-reporting of restrained eating: evidence from a national Dutch face-to-face survey and a postal follow-up.
[show abstract] [hide abstract]
ABSTRACT: To determine the effect of interviewer BMI on self-reported restrained eating in a face-to-face survey and to examine under- and over-reporting using the face-to face study and a postal follow-up. A sample of 1,212 Dutch adults was assigned to 98 interviewers with different BMI who administered an eating questionnaire. To further evaluate misreporting a mail follow-up was conducted among 504 participants. Data were analyzed using two-level hierarchical models. Interviewer BMI had a positive effect on restrained eating. Normal weight and pre-obese interviewers obtained valid responses, underweight interviewers stimulated under-reporting whereas obese interviewers triggered over-reporting. In face-to-face interviews self-reported dietary restraint is distorted by interviewer BMI. This result has implications for public health surveys, the more so given the expanding obesity epidemic.International Journal of Public Health 11/2011; 57(3):643-7. · 2.54 Impact Factor -
Article: Weather conditions and political party vote share in Dutch national parliament elections, 1971-2010.
Rob Eisinga, Manfred Te Grotenhuis, Ben Pelzer[show abstract] [hide abstract]
ABSTRACT: Inclement weather on election day is widely seen to benefit certain political parties at the expense of others. Empirical evidence for this weather-vote share hypothesis is sparse however. We examine the effects of rainfall and temperature on share of the votes of eight political parties that participated in 13 national parliament elections, held in the Netherlands from 1971 to 2010. This paper merges the election results for all Dutch municipalities with election-day weather observations drawn from all official weather stations well distributed over the country. We find that the weather parameters affect the election results in a statistically and politically significant way. Whereas the Christian Democratic party benefits from substantial rain (10 mm) on voting day by gaining one extra seat in the 150-seat Dutch national parliament, the left-wing Social Democratic (Labor) and the Socialist parties are found to suffer from cold and wet conditions. Cold (5°C) and rainy (10 mm) election day weather causes the latter parties to lose one or two parliamentary seats.International Journal of Bioclimatology Biometeorology 10/2011; 56(6):1161-5. · 2.25 Impact Factor
About
Manfred te Grotenhuis (email: m.tegrotenhuis@maw.ru.nl) is an assistant professor of quantitative data analysis at Radboud University Nijmegen, the Netherlands, and an affiliate of the Interuniversity Center for Social Science Theory and Methodology (ICS).
Recent statistical contributions include articles in AJS, ASR
He wrote several introductory books on SPSS and statistics
Specialties
Inferential Statistics, Age-Period-Cohort models, Multilevel Modeling, Event History Analysis, SPSS Syntax