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Authoritarianism and anomia reconsidered: applying cross-lagged autoregressive & latent growth curve models. The interrelationship of anomia and authoritarianism Anomia (Srole 1956) - perceived breakdown of the social order - feeling of being helpless, alone and powerless.
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Authoritarianism and anomia reconsidered: applying cross-lagged autoregressive & latent growth curve models
The interrelationship of anomia and authoritarianism • Anomia (Srole 1956) • - perceived breakdown of the social order • - feeling of being helpless, alone and powerless • Authoritarianism (Adorno et al. 1950) • deep-rooted intraindividual characteristic • reflects conformity with the ingroup, submission to ingroup leaders & aggressive stances towards outgroups
Anomia Authoritarianism Authoritarianism Anomia • (1) Srole (1956, p. 716; see Scheepers et al. 1992): • anomic individuals choose authoritarian stances in order to recover orientation • (2) McClosky & Schaar (1965) • authoritarian individuals are hampered to interact effectively • less opportunities to escape from social isolation • resulting in anomia
reciprocal relationship: not necessarily unplausible Authoritarianism Anomia • Research questions for longitudinal analysis: • a) are authoritarian attitudes stable over time? • are anomic attitudes stable over time? • does anomia cause authoritarianism, does authoritarianism cause anomia or do we get evidence for both processes? • b) • if we get evidence for individual change of authoritarian and/ or anomic attitudes: is there an increase or a decrease? • do we get evidence for individual differences concerning such a development? • is there a relationship between the initial level of authoritarianism/ anomia and its dynamic?
res1 Xt1 Xt2 a c d res2 Yt1 Yt2 b Cross-lagged autoregressive models • autoregressive model • each variable X at t2 function of its lagged measure at t1 and residual • stability coefficients indicate degree of stability of interindividual differences • cross-lagged autoregressive model (Finkel 1995) • cross-construct regression weights: X predicting Y, controlling for former values of Y
latent growth curve models res1 res2 res3 Xt2 Xt1 Xt3 1 1 F 1 1 0 Intercept Slope • for analysing individual change processes using single/ multiple indicators • assumption: a latent trajectory characterizing the sample • (or subgroups) can be found • individual change as function of intercept and slope factors for each time • period • individual change as function of intercept and slope factors for each time period
5.a Data Sample: • Group-focused enmity panel 2002-2004 (Heitmeyer et al. 2002, 2003; 2004 forthcomig) • CATI-survey • german-speaking persons aged 16 and over in households with telephone • current analyses: respondents with german citizenship only
5.b Indicators Authoritarianism: Anomia:
6. Results - descriptives Authoritarianism 2002-2004: Anomia 2002-2004: