1. Introduction
Religion plays an important role in present identity discourses in Europe, particularly in Western European countries like France, Belgium and Germany. In the latter case, recent studies have shown a decline in the importance of Christian majority denominations for individual identity formation.1 To better understand these dynamics, one might ask what makes some individuals more religious than others.Recently, a qualitative study of Salafist youth cultures in Germany has suggested that young people become deeply religious Muslims to rebel against their parents if they were not raised religiously during their upbringing.2 This poses the question whether the relationship between the religiousness of young people and the role of religion in their families is applicable in a wider context. One might ask whether this form of rebellion is not only common in specific Islamic circles, but for young people in general who use their religiousness to set themselves apart from their parents: How does the importance of religion in the upbringing of young people in Germany affect their religiousness?
2. Analysis
This question is explored with the
ALLBUS3
dataset from 2012, a biennially trend study on attitudes and social
structures in Germany.4
The population to be observed consists of all individuals between 18
and 30 years who had their primary residence in Germany between April
and September 2012 (survey period).5
The hypothesis is that the smaller the role of religion during their
upbringing (RUP), the more religious young individuals see
themselves.6
Figure 1 illustrates the relationship
between religiousness and RUP with box plots. The distribution of
religiousness is displayed for every value of RUP. Each blue box
contains 50% of the responses. Inside each box, the black line
demarcates the median (“middle value”) of all responses.
Instead, we substantiate the first impression that the relationship between religiousness and RUP runs in the opposite direction of the initial hypothesis. Since the relationship does appear to be linear in Figure 1, this analysis uses a simple multiple linear regression analysis. To make sure that we do not confuse the effect of RUP with the effect of other variables, three controls that could influence both religiousness and RUP are included in the models. The first is the origin of the respondents, to check whether they spend their childhood in West- or East-Germany, or in another country. The former distinction is of particular importance, since East-Germans have been found to be less religious than West-Germans.7 The two other factors controlled for here include the political orientation of the respondents, as well as the highest professional education of the parents.8 Table 1 shows the regression estimates for these variables in interaction with the role of religion in upbringing:
Table 1. Determinants of Religiousness among Young People in Germany
DV:
Religiousness
|
(1)
|
(2)
|
(3)
|
(4)
|
(5)
|
Religion
in Upbringing (RUP)
|
0.58***
|
0.52***
|
0.58***
|
0.65***
|
0.63***
|
(18.74)
|
(13.00)
|
(18.72)
|
(5.72)
|
(5.54)
|
|
Region:
East
Germany
|
-0.66*
|
-0.72*
|
|||
(-2.26)
|
(-2.46)
|
||||
Region:
Other
|
1.42
|
1.70*
|
|||
(1.67)
|
(2.01)
|
||||
East
Germany * RUP
|
0.17*
|
0.17*
|
|||
(2.21)
|
(2.15)
|
||||
Other
* RUP
|
-0.091
|
-0.19
|
|||
(-0.69)
|
(-1.44)
|
||||
Political
Orientation
|
0.045
|
0.035
|
|||
(0.70)
|
(0.54)
|
||||
Apprenticeship
|
-0.19
|
0.10
|
|||
(-0.26)
|
(0.14)
|
||||
Professional
School
|
-0.25
|
-0.087
|
|||
(-0.34)
|
(-0.12)
|
||||
Applied
Sciences College
|
-0.44
|
-0.072
|
|||
(-0.51)
|
(-0.08)
|
||||
College
|
-0.79
|
-0.61
|
|||
(-1.02)
|
(-0.79)
|
||||
Apprenticeship
*
RUP
|
-0.14
|
-0.19
|
|||
(-1.12)
|
(-1.50)
|
||||
Professional
School
* RUP
|
-0.17
|
-0.20
|
|||
(-1.36)
|
(-1.62)
|
||||
Applied
Sciences College
* RUP
|
-0.10
|
-0.19
|
|||
(-0.66)
|
(-1.16)
|
||||
College
* RUP
|
0.11
|
0.069
|
|||
(0.80)
|
(0.53)
|
||||
Constant
|
2.07***
|
2.34***
|
1.85***
|
2.42***
|
2.31**
|
(14.40)
|
(11.76)
|
(5.31)
|
(3.51)
|
(3.15)
|
|
R-Squared
|
0.39
|
0.40
|
0.39
|
0.41
|
0.42
|
Observations
|
553
|
553
|
553
|
553
|
553
|
Note:
OLS estimates with t-stats in parentheses. * p < 0.05, ** p <
0.01, *** p < 0.001
Source: ALLBUS
Source: ALLBUS
Measuring religiousness only based on the respondents self-perception may not give us an entirely reliable image of the “true” religiousness of individuals. We therefore look at two alternate measures for religiousness: church visits and an index of questions about the respondents beliefs (e.g. “I do not care if there is a god”). Tables 5 and 6 in the appendices show that the effect of RUP is significantly lower compared to table 2 for these measures. In case of church visits, we could argue that ritual religiousness is conceptually different from religious beliefs. In case of the sum score however, we have to consider that a self-assessment may be a less reliable measure for religiousness than originally assumed in our analysis.
3. Conclusion
It is not surprising to find that young people are greatly influenced by their parents. However, this analysis has some relevance in the context of the conclusions that were drawn for the specific youth culture of Salafism. It shows that religiousness as a form of protest among young people is not a wide-spread phenomenon. This phenomenon is likely to be limited to a specific sub-culture that uses religious symbols.At the same time, the above analysis suffers from several weaknesses. First, due to a lack of cases, we were unable to explore the relatively smaller group of young people who considered themselves to be both very religious and of a non-religious family. And second, we are uncertain whether a self-assessment of religiousness captures the concept of religiousness that we want to measure. The same holds true for the primary independent variable of religiousness during the respondents upbringing.
A reasonable next step would be to construct a more profound theoretical concept of religiousness before applying statistical methods to it. Further research could also investigate the validity of these results for other generations, and, given additional data, look towards the religiousness of less common (non-Christian) religious denominations.
Appendices
Table 2. Summary Statistics
Variable
|
Mode
|
Mean
|
Std.
Dev.
|
Min.
|
Max.
|
Description
|
Religiousness
|
1
|
4.03
|
2.98
|
1.0
|
10.0
|
Assumed
interval scale,
1=Min, 10=Max |
Religious
Service Visits
|
1
|
2.09
|
1.23
|
1.0
|
9.0
|
Ordinal
scale, ranging from never to daily
|
Religious
Beliefs
(Mean of Sumscore) |
2.75
|
2.40
|
0.95
|
1.0
|
7.8
|
Based
on 4 questions, each with 4-item Likert-Scale
|
Role
of Religion in Upbringing
|
0
|
3.40
|
3.23
|
0.0
|
10.0
|
Assumed
interval scale,
0=Min, 10=Max |
Region
|
0
|
0.38
|
0.58
|
0.0
|
2.0
|
Region
where R grew up,
0=West, 1=East, 2=Other |
Political
Orientation
|
5
|
5.02
|
1.56
|
1.0
|
10.0
|
Political
Orientation of R,
1=Left, 10=Right |
Education
of Parents
|
3
|
3.06
|
1.20
|
1.0
|
5.0
|
Highest
professional education of parents, assumed categorial
|
Observations
|
553
|
Table 3. Main Effects of Control Variables
DV:
Religiousness
|
(1)
|
(2)
|
(3)
|
Religion
in Upbringing (RUP)
|
0.56***
|
0.57***
|
0.55***
|
(17.48)
|
(18.77)
|
(16.92)
|
|
Region:
East Germany
|
-0.30
|
-0.29
|
|
(-1.31)
|
(-1.24)
|
||
Region:
Other
|
0.87*
|
0.77
|
|
(2.01)
|
(1.76)
|
||
Apprenticeship
|
-0.85*
|
-0.74
|
|
(-2.02)
|
(-1.75)
|
||
Professional
School
|
-0.95*
|
-0.86*
|
|
(-2.27)
|
(-2.06)
|
||
Applied
Sciences College
|
-0.93
|
-0.77
|
|
(-1.84)
|
(-1.50)
|
||
College
|
-0.51
|
-0.43
|
|
(-1.18)
|
(-0.98)
|
||
Constant
|
2.19***
|
2.89***
|
2.91***
|
(12.71)
|
(7.09)
|
(7.03)
|
|
R-Squared
|
0.41
|
0.41
|
0.41
|
Observations
|
575
|
575
|
575
|
Note:
OLS estimates with t-stats in parentheses. * p < 0.05, ** p <
0.01, *** p < 0.001
Source: ALLBUS
Source: ALLBUS
Table 4. Simple Linear Regressions on Control Variables
DV:
Religiousness
|
(1)
|
(2)
|
(3)
|
Region:
East Germany
|
-1.65***
|
||
(-6.06)
|
|||
Region:
Other
|
1.74**
|
||
(3.12)
|
|||
Political
Orientation
|
0.058
|
||
(0.72)
|
|||
Apprenticeship
|
-1.91***
|
||
(-3.42)
|
|||
Professional
School
|
-2.00***
|
||
(-3.62)
|
|||
Applied
Sciences College
|
-1.77**
|
||
(-2.63)
|
|||
College
|
-0.88
|
||
(-1.51)
|
|||
Constant
|
4.40***
|
3.74***
|
5.64***
|
(29.75)
|
(8.76)
|
(11.04)
|
|
R-Squared
|
0.09
|
0.00
|
0.04
|
Observations
|
553
|
553
|
553
|
Note:
OLS estimates with t-stats in parentheses. * p < 0.05, ** p <
0.01, *** p < 0.001
Source: ALLBUS
Source: ALLBUS
Table 5. Determinants of Religiousness Measured with Service Visits
DV:
Service Visits (Logged)
|
(1)
|
(2)
|
(3)
|
(4)
|
(5)
|
Religion
in Upbringing (RUP)
|
0.11***
|
0.11***
|
0.11***
|
0.12***
|
0.12***
|
(19.89)
|
(14.87)
|
(19.87)
|
(6.00)
|
(5.95)
|
|
Region:
East
Germany
|
-0.029
|
-0.035
|
|||
(-0.55)
|
(-0.66)
|
||||
Region:
Other
|
0.052
|
0.078
|
|||
(0.34)
|
(0.51)
|
||||
East
Germany * RUP
|
0.015
|
0.0086
|
|||
(1.04)
|
(0.60)
|
||||
Other
* RUP
|
-0.0092
|
-0.015
|
|||
(-0.39)
|
(-0.62)
|
||||
Political
Orientation
|
-0.0014
|
-0.0057
|
|||
(-0.13)
|
(-0.49)
|
||||
Apprenticeship
|
0.16
|
0.19
|
|||
(1.23)
|
(1.39)
|
||||
Professional
School
|
0.19
|
0.21
|
|||
(1.45)
|
(1.57)
|
||||
Applied
Sciences College
|
0.20
|
0.23
|
|||
(1.33)
|
(1.49)
|
||||
College
|
0.14
|
0.15
|
|||
(1.03)
|
(1.09)
|
||||
Apprenticeship
*
RUP
|
-0.032
|
-0.037
|
|||
(-1.42)
|
(-1.59)
|
||||
Professional
School
* RUP
|
-0.014
|
-0.018
|
|||
(-0.63)
|
(-0.80)
|
||||
Applied
Sciences College
* RUP
|
-0.011
|
-0.018
|
|||
(-0.41)
|
(-0.61)
|
||||
College
* RUP
|
0.0100
|
0.0081
|
|||
(0.43)
|
(0.34)
|
||||
Constant
|
0.21***
|
0.22***
|
0.22***
|
0.051
|
0.073
|
(8.31)
|
(6.27)
|
(3.55)
|
(0.41)
|
(0.55)
|
|
R-Squared
|
0.42
|
0.42
|
0.42
|
0.44
|
0.44
|
Observations
|
553
|
553
|
553
|
553
|
553
|
Note:
OLS estimates with t-stats in parentheses. * p < 0.05, ** p <
0.01, *** p < 0.001
Source: ALLBUS
Source: ALLBUS
Table 6. Determinants of Religiousness Measured with Beliefs
DV:
Religiousness (Mean of Sumscore)
|
(1)
|
(2)
|
(3)
|
(4)
|
(5)
|
Religion
in Upbringing (RUP)
|
0.16***
|
0.13***
|
0.16***
|
0.17***
|
0.15***
|
(14.98)
|
(9.29)
|
(14.97)
|
(4.17)
|
(3.87)
|
|
Region:
East
Germany
|
-0.48***
|
-0.49***
|
|||
(-4.82)
|
(-4.82)
|
||||
Region:
Other
|
0.67*
|
0.69*
|
|||
(2.32)
|
(2.37)
|
||||
East
Germany * RUP
|
0.078**
|
0.077**
|
|||
(2.95)
|
(2.81)
|
||||
Other
* RUP
|
-0.059
|
-0.066
|
|||
(-1.31)
|
(-1.43)
|
||||
Political
Orientation
|
0.0099
|
0.014
|
|||
(0.45)
|
(0.61)
|
||||
Apprenticeship
|
-0.069
|
0.13
|
|||
(-0.27)
|
(0.49)
|
||||
Professional
School
|
-0.026
|
0.078
|
|||
(-0.10)
|
(0.31)
|
||||
Applied
Sciences College
|
-0.091
|
0.13
|
|||
(-0.30)
|
(0.45)
|
||||
College
|
0.063
|
0.18
|
|||
(0.23)
|
(0.67)
|
||||
Apprenticeship
*
RUP
|
-0.020
|
-0.050
|
|||
(-0.43)
|
(-1.12)
|
||||
Professional
School
* RUP
|
-0.0081
|
-0.024
|
|||
(-0.18)
|
(-0.56)
|
||||
Applied
Sciences College
* RUP
|
0.0072
|
-0.031
|
|||
(0.13)
|
(-0.55)
|
||||
College
* RUP
|
-0.0067
|
-0.024
|
|||
(-0.14)
|
(-0.52)
|
||||
Constant
|
1.87***
|
2.07***
|
1.82***
|
1.90***
|
1.89***
|
(37.17)
|
(30.35)
|
(14.94)
|
(7.78)
|
(7.43)
|
|
R-Squared
|
0.29
|
0.33
|
0.29
|
0.29
|
0.34
|
Observations
|
554
|
554
|
554
|
554
|
554
|
Note:
OLS estimates with t-stats in parentheses. * p < 0.05, ** p <
0.01, *** p < 0.001
Source: ALLBUS
Source: ALLBUS
1Pollack,
Detlef/Müller, Olaf 2013: Religiosität und Zusammenhalt in
Deutschland. Bertelsmann Stiftung, Gütersloh, online at:
http://www.bertelsmann-stiftung.de/cps/rde/xbcr/SID-3237E893-FD93CE81/bst/xcms_bst_dms_37661__2.pdf,
viewed 01.10.2013.
2El-Mafaalani,
Aladin 2014: Salafismus als Jugendkulturelle Provokation. Zwischen
dem Bedürfnis nach Abgrenzung und der Suche nach Habitueller
Übereinstimmung, in: Schneiders, Thorsten G. (ed.): Salafismus in
Deutschland. Ursprünge und Gefahren einer
Islamisch-Fundamentalistischen Bewegung, Bielefeld: Transcript,
355–362.
3“General
Population Survey of the Social Sciences”:
http://www.gesis.org/allbus,
translation by author.
4ALLBUS
is (to my knowledge) the most comprehensive and recent social survey
available for this country, and includes questions regarding both
the religiousness of the respondents and the role religion played in
their upbringing.
5The
definition of “young” as individuals between 18-30 years old is
chosen because it leaves enough time for parental influence to take
place (adulthood), but does not go beyond the argument that the
hypothesized phenomena relates to current youth cultures. The
assumption is that older cohorts might show different behavior if
the hypothesis proves to be true (see conclusion).
6Both
religiousness and religion during upbringing are interval-scaled,
ranging from 1-10 and 0-10, respectively. See the summary statistics
in the appendices for more information.
7Pollack,
Detlef/Müller, Olaf 2013: Religiosität und Zusammenhalt in
Deutschland. Bertelsmann Stiftung, Gütersloh, online at:
http://www.bertelsmann-stiftung.de/cps/rde/xbcr/SID-3237E893-FD93CE81/bst/xcms_bst_dms_37661__2.pdf,
viewed 01.10.2013.
8For
more information, see the summary statistics in Appendix I.
9See
also Figure 2 in the appendices.
10Comparing
these results to the main effects of region and education (see Table
3 in appendices) does indicate that religiousness is slightly lower
among populations growing up in East Germany, and higher among those
growing up outside the country, holding upbringing constant. This
confirms previous results mentioned above.
Hey there,
ReplyDeleteTo start, my first impression of your overall presentation of the post is really good. There are a few typos and grammatical errors, but otherwise everything is very neat and organized, and your graphs are also nice, tidy and attractive. However, I think you need to put a bivariate graph with the parametric and not parametric fit lines. This would help the reader to see if you needed to transform any variables, for instance maybe your IV should've been logged. As far as I could see, you didn't transform anything. But seeing the graph would help confirm that.
Since you are pointing out specifically the PEGIDA movement and radicalized Muslim youths in Germany, wouldn't it be interesting to maybe control for that too? Your hypothesis may be true just for Christian or Muslim youths, and that would be important to know. If the data is there, of course.
For the most part, the language is clear and easy to understand. I get that there was a positive as opposed to the negative effect you were expecting in your findings, but I think breaking that down in layman's terms would also be nice. What specifically does that mean for your hypothesis?
Same applies to the interaction effect. Spell it out what that means in terms of your hypothesis as well.
And in the end, did you accept or reject the null hypothesis? Might be nice to throw in a sentence or a footnote explaining why or why not.
Overall it was really interesting! I've been interested in the PEGIDA movement myself and what's going on in general in Europe, so I think this is a relevant topic of discussion right now.
Prima!
This comment has been removed by the author.
ReplyDeleteThe introduction gives good information regarding the significance of this analysis. The independent variable is the importance of religion in ones upbringing and the dependent variable is the religiousness of a person. The question and hypothesis is clear. I even think there may be room for another question being that there is information for both west and east Germany.
ReplyDeleteYour tables look fantastic. They are very comprehensive. The graph is also neat. I think it was probably the best choice for this particular regression. Also the coding from 1-10 is appropriate. I wonder if this can be examined further. I know it can be difficult to measure "religiousness" on both the X and Y because perceptions vary. For example, a respondant may see themselves as "very religious" due to a,b,c, but another respondant may have a,b,c, and not consider themselves to be and vice versa. In any case, the important thing was that it measures an individuals perception, which works.
This is an interesting foreign policy question/design. I think a thorough study like this would yield important information that is very relevant today. The results for your hypothesis are interesting that it goes in the opposite direction. I wonder if it's possible to repeat the study in certain subgroups that you mentioned to see what it yields.
This is a very well laid out blog post. I do feel as though anyone who hasn't had significant exposure to statistical methods would have a hard time understanding what your analysis is actually saying.
ReplyDeleteI won't waste your time repeating what Shona and Samantha have already said- I agree, it's beautifully laid out and the visual representations are nice.
My main question is: How do you justify the other control variables? I have a feeling that commercial apprenticeship and agricultural apprenticeship etc may be measuring almost the same thing... Perhaps including them as they are will actually cloud your regression model in the end?
As a reader, it was alarming to see such an exhaustive list of control variables. I would want to know the justification behind including them.
Also, very glad you used a different graphical representation and I am stealing your code for another project I'm doing!
One last note- religion in Western Europe is a charged subject. I would refrain from using flippant references to Islam- even if they are well intentioned. It's a blog, not a political briefing- as a reader I was a little put off at the persistent reference to politically charged "buzz words."
In all, I think that your initial question is worth exploring and you paint a nice picture while explaining. Less technical jargon and more "conversation," but I enjoyed it.