isa arroyo tormos_presentation
TRANSCRIPT
Secularization and the multidimensional concept of
religiosity
Raül Tormos & Lili Arroyo
ISA World Congress 2010, Göteborg
• The idea that the developed world is in a process of secularization still generates debate, but it is commonly accepted.
• There are many empirical evidences that support it (see Norris&Inglehart 2004 among many others).
• But how do we measure religiosity to be able to say it is eroding?
Theoretical debate
eroding?
• We argue that the theory of secularization should take into account a multidimensional concept of religiosity.
• Secularization could be affecting the different dimensions of religiosity in different ways.
• Conventional / institutional religiosity = eroding Personal / individual religiosity = ?
• Different authors seem to point in this direction: (but systematic measurement efforts are hard to find)
– Inglehart (1990)
• Talks about a renewed emphasis on spiritual values in postindustrial societies.
• Reflects on the perils of using just indicators of practices to
Theoretical debate
• Reflects on the perils of using just indicators of practices to measure the concept of religiosity.
– Inglehart & Norris (2004), Sacred and Secular
• In postindustrial societies people are becoming:– indifferent to traditional religious values, – but they are not abandoning private or individualized spirituality.
• People are increasingly interested in the meaning and purpose of life.
– When survival is uncertain � need for security in religion
Theoretical debate
– When survival is uncertain � need for security in religion– When survival is guaranteed � need for meaning
• At the same time in this countries, there is less support for:– Traditional religious authorities– Established religious practices
– Pollack & Pickel (2007)
• Link between individualization theory and secularization.
• Modernization will produce a change in the forms of religionmore than a decline in its social significance.
• Traditional forms of religiosity will be replaced by more subjective ones:
– detached from church,
Theoretical debate
– detached from church, – individually chosen,– and syncretistic.
• With the indicators they used, they concluded that the rise of individual religiosity cannot compensate for the loss of institutionalized religiosity.
• Departing from here, we started with the idea of a cross-country over time comparison of religiosity indicators (individual level).
• We wanted to question whether the secularization-thesis was really valid for the different dimensions of religiosity:
• Religion as an institution – Religious impulse, or• Conventional religiosity – Individualized religiosity
Data and methodological strategies
• But soon we realized we were facing a measurement problem: complicated concepts-by-postulation not clearly defined in the literature (religiosity, secularization).
• Then we turned our attention to the measure of religiosity.
• In the literature we found basically theoretically-driven measures and a lack of empirically-driven ones.
• Main problem: finding good measures for our theoretical concepts in the available surveys.
• We wanted to use an appropriate methodology for our measurement model � Structural Equation Modeling.
• Difficulties to fit our theory and data into a measurement model (SEM):– Inappropriate variables– Incomplete data (waves, gaps)
Data and methodological strategies
• But as we believed in the existence of a two dimensional religiosity model, went on with the analysis.
• And we did not want to proceed as in part of the literature: only theoretical definitions from which to construct more or less arbitrary indexes.
• We use the 1st round of the ESS, Spanish subset.
• Importance of religion in life (11 point scale)
• Church attendance (7 point scale)
• Frequency of praying (7 point scale)
• Self -assessed religiosity (11 point scale)
Data and methodological strategies
• Self -assessed religiosity (11 point scale)
• Importance of religion in life (11 point scale)
– Wording: “How important is religion in your life?”From 0 extremely unimportant to 10 extremely important.
– It sits on a battery of items representing spheres of life (family, work, friends, etc.)
Data and methodological strategies
– To Norris & Inglehart it is a religious value (ultimate goal).
– Supposedly previous to religious beliefs and participation.
• Church attendance (7 point scale)
– Wording: “How often do you attend religious services apart from special occasions?”1 Every day; 2 More than once a week; 3 Once a week; 4 At least once a month; 5 Only on special holy days; 6 less often; 7 never.
– An institutional / communitarian form of religious participation.
Data and methodological strategies
– An institutional / communitarian form of religious participation.
– Established by family bonds, habit and social environment, and not only by personal beliefs
– It does not necessarily reflect the personal views of individuals.
• Frequency of praying (7 point scale)
– Wording: “How often do you pray apart from religious services?”1 Every day; 2 More than once a week; 3 Once a week; 4 At least once a month; 5 Only on special holy days; 6 less often; 7 never
– A personal / individual form of religious participation.– It is possible for people to pray even though he does not attend
Data and methodological strategies
– It is possible for people to pray even though he does not attend religious services.
• Self-assessed religiosity (11 point scale)
– Wording: “How religious are you?” From 0 not at all religious to 10 very religious
– Subjective self-considerations which is not necessarily link to conventional religiosity (however conventional religious people would also consider themselves religious).
Data and methodological strategies
would also consider themselves religious).
• We wanted to test:
– if these 4 indicators converge in a single latent variable of religiosity,
– or to what extent we can talk of more than one dimension of religiosity?
Data and methodological strategies
Frequency of participation
y =ŋ
Importance of religion in life
y1=ŋ1
β11
Ɛ1
Ɛ2Ɛ5
Measurement model for religiosity (ESS 1rd, Spain)
X1 X2 X3 X4
X1 1.00
X2 0.64 1.00
X3 0.59 0.61 1.00
X4 0.63 0.67 0.72 1.00
y2=ŋ2
Frequency of praying
y3=ŋ3
Religiosityŋ5
β21
β31
Degree of religiosity
y4=ŋ4
β41
Ɛ3
Ɛ4
Latent Y model
Religiosity 1bdat ni=4 no=1800 ma=kmkm1.00.64 1.00.59 .61 1.00.63 .67 .72 1.00labelsy1 y2 y3 y4
Variance/covariance of latent variables
No. eta (endogenous variables)
Matrix of the disturbance terms:No covariance between disturbances
model ne=5 ny=4 be=fu,fi ly=fu,fi te=di,fi ps=di,frva 1 ly 1 1 ly 2 2 ly 3 3 ly 4 4fr be 1 5 be 2 5 be 3 5 be 4 5 fi ps 5 5va 1 ps 5 5start .5 alloutput mr tv mi ss
Fixed variance of latent Y
There are lambdas and betas
Lambdas fixed to one
Frequency of participation
x2
Importance of religion in life
x1
δ1
δ2
0.44
0.38
0.75
0.79
Complete measurement model for religiosity (ESS 1rd, Spain)
x2
Frequency of praying
x3
Religiosityξ1
Degree of religiosity
x4
δ3
δ4
0.35
0.25
0.81
0.86
Df. = 2Chi-Square’s p-value = 0.00
Frequency of participation
x
Measurement model with correlated errors
Importance of religion in life
x1
λ11
X1 X2 X3 X4
X1 1.00
X2 0.64 1.00
X3 0.59 0.61 1.00
X4 0.63 0.67 0.72 1.00
δ1
δ2
δ21
x2
Frequency of praying
x3
Religiosityξ1
λ21
λ31
Degree of religiosity
x4
λ41
δ3
δ4
Religiosity 2dat ni=4 no=1800 ma=kmkm1.00.64 1.00.59 .61 1.00.63 .67 .72 1.00labelsy1 y2 y3 y4model ny=4 ne=1 ly=fu,fr te=sy,fi ps=fu,fifree te 1 1 te 2 2 te 3 3 te 4 4free te 2 1va 1 ps 1 1out mi
Variance of disturbances set free
Only the covariance between e1 and e2 is set free
Set the disturbance of latent variable to one
Frequency of participation
x2
Complete measurement with correlated errors
Importance of religion in life
x1
δ1
δ2
0.10
0.49
0.43
0.72
0.75x2
Frequency of praying
x3
Religiosityξ1
Degree of religiosity
x4
δ3
δ4
0.34
0.22
0.81
0.88
Df. = 1Chi-Square’s p-value = 0.24
• Correlated error terms: some of the covariation is due to sources different to the common factor (and not included in the model).
• So we tried another model departing from the idea of the two dimensions of religiosity
Subjective religiosity
ŋ2
Importance of religion in life
y1
λ42
Ɛ4
Self-assessed religiosity
y4
ζ1
ζ2
Ɛ2
Ɛ1
psi Ψ21 Ho = 1Ha ≠ 1
λ11
Frequency of participation
y2
Frequency of praying
y3
Conventional religiosity
ŋ 1
Ɛ2
Ɛ3
λ21
λ31
• If self-assessed religiosity and our latent construct for religiosity not happen to be completely related, this would mean that there is something else that conventional indicators of religiosity are not covering.
• We had the hypothesis that this “something else” is the religious impulse or the personal / individual side of religiosity.
Subjective religiosity
ŋ2
Importance of religion in life
y1
λ42
Ɛ4
Self-assessed religiosity
y4
ζ1
ζ2
Ɛ2
Ɛ1
psi Ψ21 Ho = 1Ha ≠ 1
λ11
Estimated via SQP
Frequency of participation
y2
Frequency of praying
y3
Conventional Religiosity
ŋ 1
Ɛ2
Ɛ3
λ21
λ31
This model was not fitting due to correlated errors
Subjective religiosity
ŋ2
Importance of religion in life
y1
λ42
Ɛ4
Self-assessed religiosity
y4
ζ1
ζ2
Ɛ2
Ɛ1
psi Ψ21 Ho = 1Ha ≠ 1
λ11
Frequency of participation
y2
Frequency of praying
y3
Conventional religiosity
ŋ 1
Ɛ2
Ɛ3
λ21
λ31
The pattern of correlations among errors made us think of an alternative model specification
Frequency of praying
y3
Subjective religiosity
ŋ2
λ42
Ɛ4
Self-assessed religiosity
y4
ζ2
psi Ψ21Ho = 1H ≠ 1
λ32
Ɛ3Theoretical model
Frequency of participation
y2
Importance of religion in life
y1
Conventional religiosity
ŋ 1
ζ1
Ɛ2
Ɛ1
psi Ψ21 Ha ≠ 1
λ11
λ21
Religiosity 4bdat ni=4 no=1800 ma=kmkm1.00.64 1.00.59 .61 1.00.63 .67 .72 1.00labelsy1 y2 y3 y4model ny=4 ne=2 ly=fu,fi te=sy,fi ps=sy,fifree ly 1 1 ly 2 1 ly 3 2 ly 4 2
fre te 1 1 te 2 2 te 3 3 te 4 4va 1 ps 1 1 ps 2 2free ps 2 1out rs mi
Set free the covariance between latent constructs
Frequency of praying
y3
Subjective religiosity
ŋ2
λ42=0.88
Ɛ4
Self-assessed religiosity
y4
ζ2
(psi) Ψ21= 0.92
λ32 =0.81
Ɛ3Results (Spain, ESS 1st round)
0.39
0.32
0.34
Frequency of participation
y2
Importance of religion in life
y1
Conventional religiosity
ŋ 1
ζ1
Ɛ2
Ɛ1
λ 11=0.78
λ21=0.82
Df. = 1Chi-Square’s p-value = 0.24
0.39
0.33
• From the Spanish data, two dimensions of religiosity emerge:
– One related to traditional religious values and practices – The other is linked to the subjective and personal sphere
• Although these two dimensions are highly correlated, they are not the same, as shown by our measurement
Conclusions
they are not the same, as shown by our measurement model.
• A conventional religious person would score high on the subjective religiosity dimension, but it is also possible for someone to have a personal sense of religiosity and be relatively detached from conventional religiosity.
• The idea of two dimensions of religiosity is similar to Pollack and Pickel (2007) thesis of individualization.
• However, as shown by their empirical analysis, the rise of individually religiosity cannot compensate for the losses of institutionalized religiosity.
• Modernization produces:
Conclusions
• Modernization produces:– Secularization (big part)– Individualization of religion (small part)
• We still have to test it.
Thank you