The general religious factor among Muslims: a multi-level factor analysis

In the review of a paper submitted to ODP some time ago, the issue of a general extremism factor in religion came up. Unfortunately, Dutton deleted the submission thread, so the discussion is forever lost to history (possibly could be recovered from backups of the forum, but not worth the trouble; Yes I looked at the Wayback Machine with no luck).

Specifically, the topic was if and how one could rank order Christian denominations on a more/less extremist scale. Much discussion about them actually assumes this pattern but as far as I know, it has not yet been examined empirically. I see two ways to examine it empirically:

1. A person-level approach
Person-level data where their beliefs re. a number of matters are given as well as their denomination. This allows for the calculation of mean acceptance rates of these beliefs within each denomination. These mean acceptance rates may then be factor analyzed to see if there is a general factor. For this to work, one would need at the very least 3 religious beliefs of central importance re. extremism (e.g. young earth creationism, stance towards homosexuals, atheists, abortion, sex outside marriage, freedom of speech wrt. religious criticism). Furthermore, one will need a number of different denominations, I’d say as least 10.

2. A denomination-level approach
Alternatively, one could examine it if one could find official beliefs from each denomination re. a range of issues. Critically, these must be expressible in numerical forms because that is required for factor analysis to work. Because the beliefs of persons belonging to a denomination often conflict with official beliefs (e.g. in Catholicism), the first approach is probably better.

Religious beliefs among Muslims
I was recently reminded of the above due to re-seeing Pew Research’s large-scale study of the beliefs of Muslims in their home countries. The dataset is publicly available and is fairly massive: 250 variables and a sample size of 32.6k. The questions cover socioeconomic variables as well as a large number of questions about stuff like Sharia:

sharia law

We see that there is a wide variety of beliefs, both within and between countries. Because persons can be grouped by country, this makes it possible to conduct factor analysis both at the case-level (within each country or pooled) and at the country-level. Islam does not have that many denominations, so a denomination-level analysis does not seem possible.

Predictive validity in country of origin studies
My studies of immigrant performance in Denmark, Norway, Finland and the Netherlands have shown that Islam prevalence in the homeland has some predictive validity for the socioeconomic outcomes of the migrants. If some of this predictive validity is due to religious conflict or religious extremism, then the degree of extremism in the home country should be a moderating (interaction) variable. It doesn’t initially appear to be the case because the major outlier with regards to socioeconomic performance is usually Indonesia, but as we can see above, they seem to be fairly extremist in their beliefs, at least with regards to Sharia.

A very quick look
Examining the factor structure of the religious beliefs require a number of hours dedicated to re-coding variables. This is because for some questions, they were only asked if they interviewee answered a particular way to an earlier question. I don’t have time to do this right now. I’m hoping posting this will inspire someone else to dig into it (write me an email/direct tweet/etc.).

However, to show that the idea is fruitful I did a little analysis. I used the following variables:

  • Q13. Generally, how would you rate Islamic political parties compared to other political parties? Are they better, worse or about the same as other parties?
  • Q14.Some feel that we should rely on a democratic form of government to solve our country’s problems.Others feel that we should rely on a leader with a strong hand to solve our country’s problems. Which comes closer to your opinion?
  • Q15. In your opinion, how much influence should religious leaders [IN IRN: religious figures] have in political matters? A large influence, some influence, not too much influence or no influence at all?
  • Q16. Which one of these comes closest to your opinion, number 1 or number 2? [morality and religion]
    Number 1 – It is not necessary to believe in God in order to be moral and have good values
    Number 2 – It is necessary to believe in God in order to be moral and have good values
  • Q20. Thinking about evolution [IN IRN: of humans and other living things], which comes closer to your view?
    Humans and other living things have evolved over time
    Humans and other living things have existed in their present form since the beginning of time
  • Q26. Which comes closer to describing your view? [IN IRN: In general,] Western music, movies and television have hurt morality in our country, OR western music, movies and television have NOT hurt morality in our country?
  • Q34. On average, how often do you attend the mosque for salah and Jum’ah Prayer [IN RUS: Friday afternoon prayer]?
  • Q36. How important is religion in your life – very important, somewhat important, not too important, or not at all important?
  • Q37. How comfortable would you be if a son of yours someday married a Christian?  Would you be very comfortable, somewhat comfortable, not too comfortable or not at all comfortable?
  • Q38. How comfortable would you be if a daughter of yours someday married a Christian?  Would you be very comfortable, somewhat comfortable, not too comfortable or not at all comfortable?
  • Q43a. Which, if any, of the following do you believe: in Heaven, where people who have led good lives [IN TUR: life without sin] are eternally rewarded?
  • Q43b. Which, if any, of the following do you believe: in Hell, where people who have led bad lives [IN TUR: life of sin] and die without being sorry are eternally punished?
  • Q43c. Which, if any, of the following do you believe: in angels?
  • Q43d. Which, if any, of the following do you believe: in witchcraft?
  • Q43e. Which, if any, of the following do you believe: in the ‘evil eye’ or that certain people can cast curses or spells that cause bad things to happen to someone?
  • Q43f. Which, if any, of the following do you believe: in predestination or fate (Kismat/Qadar)?
  • Q43g. Which, if any, of the following do you believe: in  jinns?

They were picked because they stood out to me as useful when I was scrolling down the list of variables, not because I examined all variables and handpicked these. There should be many more useful variables (good! because we like to extract general factors from indicators of a wide variety).

I re-coded them all so that higher values correspond to more extreme religious beliefs as judged by me, e.g. unacceptability of children marrying Christians (Q37-38). “Don’t know” and “refusal” were coded as missing. One could recode “don’t know” as the mean of each scale instead, perhaps, but this would require some more work from me.

Then factor analysis was run as usual. Results are shown further below. A general factor seems confirmed. I hereby dub it general religious factor (GRF), hopefully no one has used that term or letter combination yet (not true according to Google!). There was a lot of missing data however because not all interviewees wanted to answer all questions and not all questions was asked in all countries. We can impute this data (takes 11 mins on my computer, large dataset!). This does not change the general pattern of the results (good, otherwise the imputation would be introducing error), but it does allow us to calculate a mean GRF score for every country (i.e. mean of each case from that country; not taking weights into account).

Mean level by country (reordered):

GRF_by_country

Aside from Indonesia, which I had heard was less extremist, these results are not that surprising. The Muslim populations in central Asia and Europe are less extremist than those in MENAP.

Country-level GRF
Next up is calculating the country-level data. To do a country-level analysis, we need the mean score for each variable for each country. This is fairly tedious to calculate by hand or low-level code, but Hadley has made it fairly easy with plyr (or dplyr). This reduces the dataset to a 26 x 17 matrix from the original 32.6k x 17. I factor analyzed it as before. For comparison, we plot the loadings together:

GRF_loadings

Aside from the generally stronger loadings at the country-level (common finding), loadings are fairly similar. Factor congruence is .98, correlation is .87. At the country-level, only one variable has a negative loading and only slightly (believing in the existence of evil eyes, a belief not central (included in?) to Islam as far as I know).

One can also extract country-level scores from the country-level analysis and compare them with the mean scores from the individual-level analysis.

scores_both_levels

The findings are essentially the same whether we analyze at individual-level and then aggregate (x-axis), or aggregate and then analyze (y-axis). This is not a spurious finding as loadings can change quite a bit between levels depending on the way the data are aggregated.

There is a lot more one could do with this but I will leave it here for now. If someone knows of a suitable open access/science journal to publish this in, let me know. I could use Winnower, but I want some input from people who actually study religion in a comparative religi(on)ology.

Files uploaded to OSF: osf.io/pwcgz/

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