Ko Oudhof Statistics Netherlands
Steps Attitudes and measurement Theory of Hakim What’s the problem? Research design Results Conclusions
Attitudes (common elements in most definitions) Oriented on object, person, institution or event Cognitive component Affective component Stable condition or construct Intermediary between object stimulus and behavioural response: consistency
Hakim - preference theory Publication: Work-Lifestyle Choices in 21st Century (2000) etc. - Contraceptive revolution
- Equal opportunities revolution
- Expansion white collar occupations
- More jobs for secondary earners
- Subjective elements in lifestyle choices more important
Three groups of preferences (of women)
Hakim on attitude measurement Preferences versus attitudes Subjective factor too often ignored More holistic approach (?) Low predictability of behavior from attitudes Main reason: in attitude measurement public beliefs are confused with personal goals
Public moral versus personal preferences One should not discriminate xxx Which neighbour will you prefer…xxx or yyy People should use more often public transport Women and men should divide paid work equally I/ my wife will go looking for a job tomorrow Men should do more housework From now on I/my husband will do ……
Testing public versus personal Both man and woman should contribute to the family income Man should earn the money, the woman should take care of household and family Men should do a larger part of the household chores than nowadays How we should divide our tasks at home has been subject of discussion I prefer to be the one who is working outside the home and will be responsible for the household income My partner thinks it's important that we divide paid work and caring tasks equally among ourselves
Assuming that persons in different situations will differ in relevant attitudes concerning that situation: which items will distinguish (explain, predict) better? Paid work Housework Child care All three: today + tomorrow
Multinomial logistic regression In logit analysis dependent is binary - having job (yes/no) odd (yes)=p/p-1
When independent is binary (m=1/f=0) - Odd (men)=p1/1-p1 and odd(women)=p2/1-p2
- Odd ratio (men/women) = (p1/1-p1)/(p2/1-p2)
- Dummies: odd ratio is relative to reference category
When dependent is multinomial - Dummies: odd ratio is relative to reference category
When independent is interval - Coefficient is change in odds by change per unit
So, odds ratio = 1 means (relatively) no effect
Analysis of items No assumptions on level of categories (as in PC or factoranalysis) HOMALS-analysis indicates - Ordinality in scale in public items
- contrasts between neutral categories and one or two extreme categories in personal items
- Interpretation difficult: a) different situations in which issues are not very relevant b) preference less important than arrangements by mutual agreement
Conclusions Effect public as well as personal items Shortcomings in quality of items and answering categories: attitudes? Comparibility of public and personal items? Other relevant factors in personal choices? Conceptual issue: Choices on paid work and homework as one-dimensional problem?
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