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This project investigates the relationship between education, social class, and social attitudes to understand underlying core values shaping public opinion. Utilizing exploratory and confirmatory factor analysis, it examines if fundamental societal values remain stable over time and across different demographics. The study uses the ‘left-right’ and ‘liberal-authoritarian’ scales to measure core values across British public opinions, exploring how new issues impact these values.
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Using Exploratory and Confirmatory Factor Analysis to Understand Social Attitudes Paula Surridge Dept. of Sociology University of Bristol p.surridge@bris.ac.uk
The project • The making of social values • Examine relationship between education, social class and social attitudes • Framework based around idea of underlying values which structure social attitudes
Core values? • Underlying values that determine how specific issues are viewed • Not directly observable • Stable and durable over time
Measuring Core Values • ‘Socialist Laissez-faire’ (Left-right) • ‘Liberal-Authoritarian’ • Evans et al 1996 • Heath et al 1994 • Use a combination of attitudinal items to measure core values
Project research questions • Are the ‘left-right’ and ‘liberal-authoritarian’ values of British public changing? • How is this related to increases in educational levels, especially higher education?
Assumptions • There are two basic values underpinning social attitudes • Invariant in structure over time • Invariant in structure over groups • New issues do not disrupt basic structure • Need to assess if these assumptions reasonable
Exploratory Factor Analysis • Key question: • How are ‘new’ issues related to the two core values as measured by ‘left-right’ and ‘liberal-authoritarian’ scales • Exploratory analysis no preconceived ideas of how issues might be related
The data • British social attitudes survey, 2004 & 2005 • Sample size ~2500 • Analysis conducted for 2004, 2005 used for validation
Exploratory Factor Analysis • Issues: • Suitability of the data • Sample size • Number of measures per factor • Technical aspects of technique • Factor extraction • Factor rotation • Number of factors
Left-right scale • Ordinary working people do not get their fair share of the nation’s wealth • Big business benefits owners at the expense of workers • Government should redistribute income from the better-off to those who are less well off • There is one law for the rich and one for the poor • Management will always try to get the better of employees if it gets the chance
Liberal-Authoritarian scale • Censorship of films and magazines is necessary to uphold moral standards • Schools should teach children to obey authority • Young people today don’t have enough respect for traditional British values • People who break the law should be given stiffer sentences • For some crimes, the death penalty is the most appropriate sentence • The law should always be obeyed even if a particular law is wrong
Initial Analysis • Two factor structure confirmed • Not sensitive to technical issues • Extraction method • Rotation procedure • But what about ‘new’ issues?
‘New’ issue • Additional item • ‘Refugees who are in danger because of their political beliefs should always be welcome in Britain’ • How does this item relate to the other two scales?
Additional item • Three factor solution • Third factor suggests ‘liberal-authoritarian’ values may be multi-faceted • Are ‘left-right’ values also multi-faceted?
Additional measures • It’s only right that taxes paid by the majority help support those in need • If we want to live in a healthy, well-educated society we have to be willing to pay the taxes to find it. • It’s not fair that some people pay a lot of money in tax and hardly use the services their taxes pay for • The best reason for paying taxes now is that you never know when you might need benefits and services yourself • It’s not right that people benefit from services they haven’t helped to pay for • Inequality continues to exist because it benefits the rich and powerful
EFA: Summary • Technical issues have relatively small impact • Data issues very important for secondary analysis • Interpretation of factors requires caution!
Confirmatory Factor Analysis • Posits a structure and assesses goodness of fit of structure to data • Formal goodness of fit statistics allow for comparison between groups (years)
Learning CFA • Very different approach than EFA • Despite similarities in underlying methods • Requires specialist software • Availability • Training • May be little support within institutions
Model fit 0.06 0.95 RMSEA CFI
Modification • Period 1986-1995 all years acceptable fit between model and data • Period 1996-2005 less acceptable fit, in 1998, 2001, 2002 and 2005 fit is not acceptable. Why? • Modification indexes => cross-loading between redistribution and liberal-authoritarian scale
Modified model • Acceptable fit in each year • Measurement invariance • ‘Configural invariance’ • ‘Weak measurement invariance’ • 1986 used as base-line • Compared each year to 1986
Measurement Invariance • For each year both configural and weak measurement invariance models fit data • Suggests that the structure of attitudes is not significantly different between 1986 and 2005 • Good news! Expect core values to be stable but not the whole story.
Conclusions • Undoubtedly Factor Analysis the right approach to the initial research questions • EFA – helped to understand the structure but very sensitive to the available measures • Be wary of SPSS ‘defaults’ • CFA – may be difficult to interpret model fit data, especially with large sample sizes and/or many groups for comparison. • Can be daunting to learn, especially new software