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March 2019 1 secondary analysis 14 2018 4 religious consciousness!!!!!!! religiosity 4 4 4 0 2 4

131 2014 p.45 1 2014 2017 a 2008, 2009, 2017 b Inkeles 1997 2003 modal personality 1 4 4 1 1 11 1.5 12 a 0 12 b 13.2 13 7.0 L. Guttman range question cafeteria question range question 1

March 2019 1 11 1 2 3 D.K. 180 356 1032 1568 6 17 23 11.3 11.5 22.4 22.7 64.8 65.8 98.5 100.0 0.4 1.1 1.5 1591 100.0 12 a 1 2 1151 440 72.3 27.7 72.3 27.7 1591 100.0 100.0 12 b 1 2 D.K. 328 1053 1381 47 163 210 20.6 23.8 66.2 76.2 86.8 100.0 3.0 10.2 13.2 1591 100.0 13 1 2 3 D.K. 530 310 639 1479 10 102 112 33.3 35.8 19.5 21.0 40.2 43.2 93.0 100.0 0.6 6.4 7.0 1591 100.0 rank order 4 cafeteria question Guttman cafeteria question range question 12 b 3 11 0.4 13 0.6 12 a 12 b 3 47 3 refer

131 1989 1 International Social Survey Programme : ISSP 2008 2011 ; 2012 1 2 2 off scale 1 scale middle point Jagodzinski 2013 a 4 11 1.1 12 a 11 2 12 b 13 10.2 6.4 middle point

March 2019 middle point 12 b 1 2 3 4 2 middle point 13 6.4102!!!!! verification confirmation 1 substantive methodological 12 b 13.2 10 4 11 12 23 66 12 a 28 72 12 b 2476 1 13 36 21 43 bimodal distribution 2 4

131 1 4 1 76 28 2 2 6643 12 23 66 89 76 89 1998 secularization

March 2019 transformation market 3 2010 ; Jagodzinski 2015 b Luckman 1967 1976 Luckman privatize personalize invisible R. Inglehart Inglehart 42 Inglehart Inglehart, 1997 ; Norris and Inglehart, 2004 equivalent 1 1960 4 1963 76 72

131 1 4 2 2 66 1 socialization succession Bellah 1970 1973 civil religion 43 2018 2 1 1 cultivate 1 2 3 AIDMA Cross-Tabulation POSA Partial Order Scalogram Analysis SSA Smallest Space Analysis1993!!!!!!!! 2 1

March 2019 4 1 4 4 4 religiosity transcendency sacredness α!!!!! 1 α!!!!!! 2010 ; Jagodzinski 2015 b

131 1 n n n 1 1982 4 2 2 n n n-1 /2 n 4 6 2 6 trait L. Guttman Levy, 1994 2002 religiosity 0.3 1 0.2 2 0.1 3 2 Q11 Q12a Q12b Q13 Q11 Pearson N Q12a Pearson N.204***.000 1568 Q12b Pearson N.219***.000 1368.306***.000 1381 Q13 Pearson N.199***.000 1461.145***.000 1479.176***.000 1296 ***p 0.01, **p 0.05, *p 0.1

March 2019 4 2 4 4 2 1 Guttman Simplex Guttman Facet Theory Scale Analysis 4 1 0 4 0 coefficient of reproducibility 1 4 0.83 0.90 0.90 0.90 0.80 Duverger 1964 1968, p.286 4 3 1 4 1 1 variance 3 Q12a Q12b Q11 Q13 Q12a Pearson N Q12b Pearson N.306***.000 1381 Q11 Pearson N.204***.000 1568.219***.000 1368 Q13 Pearson N.145***.000 1479.176***.000 1296.199***.000 1461 ***p 0.01, **p 0.05, *p 0.1

131 4 1 2 3 4 1.628.885.791.696 40.70 22.14 19.78 17.39 40.70 62.83 82.61 100.00.860 21.51 21.51 Q11 Q12a Q12b Q13 1.430.500.554.344 factor loading 2 1 41 a rule of thumb1 41 1 1 0.35 0.40 2012 1998 International Social Survey Programme : ISSP Jagodzinski 2013 a 0.7 0.8 0.6 ISSP 0.5 0.6 4 α 1 1 α 4 4 religiosity

March 2019 α α 0.7 0.6 2007 2012 α 0.457 4 4 4!!!!!! 4 religiosity 2 1 4 4 2 4 Guttman component 0 3 4 4 4 measurement instruments 4 validity 4 construct validity Lewis-Beck, 1994

131 No. 11 12a F1 12b F2 13 42 14 18 28 38 2 4 2 F1 F 2 42 No 14 18 28 38 literature survey A 1 2 3 4 B 1 2 3 4 2

March 2019!!!!!!! A x y 2 B x y 2 A B 2 product process procedure 1 reproducibility 1981 A B 1x y x y A B rank order No6 F1 F2 20 70 42 2 rank order 11 1 3 2 2 3 1 12 a 1 2 2 1 12 b 1 2 2 1 13 1 3 2 2 3 1 14 1 2 2 1 18 1 2

131 2 1 28 1 1 2 2 37 1 4 2 3 3 2 4 1 3 x y 3 34 A 1 6 20 6 6 20 6 20 2 3 60 69 70 40 49 50 59 20 29 30 30 4

March 2019 B 1 2 3 4 3 34 2

131 3 7 4 8 5 9 6 10

March 2019 11 15 12 16 13 17 14 18

131 19 23 20 24 21 25 22 26

March 2019 27 31 28 32 29 33 30 34

131 2 4 1!!!!! 2 A 4 B 2 6 6 2 6 5 13 13 13 2 13 2013 1 2 3 external variables 4 methodological substantive 2

March 2019 Bellah, Robert N. 1970 1973 Duverger, Maurice 1964 1968 Inglehart, Ronald 1997 Modernization and Postmodernization. Princeton University Press. Inkeles, Alex 1997 2003 Jagodzinski, Wolfgang 2013 a 117 Jagodzinski, Wolfgang2013 b 116 Jagodzinski, Wolfgang2015 a 120 Jagodzinski, Wolfgang2015 b 122 Levy, Shlomit ed. 1994 Louis Guttman on Theory and Methodology : Selected Writings. Dartmouth. Lewis-Beck, Michael S. 1994 Basic Measurement. International Handbooks of Quantitative Applications in the Social Sciences. Vol.4. Sage. Luckman, Thomas 1967 1976 1993 2002 2008 104 2009 107 2010 4 2011 ISSP 2008 111 2012 ISSP 2008 115 2014 118 2017 a 12 2017 b 126 2018 14 1998 2007 SPSS 2018 Norris, Pippa and Inglehart, Ronald 2004. Sacred and Secular. Cambridge University Press. 1989 20 1981 43 2012 1960 1982 3

131 1 No F1 F2 6 20 20 186 566 667 172 11.7 35.6 41.9 10.8 11.7 35.6 41.9 10.8 1591 100.0 100.0 737 854 46.3 53.7 46.3 53.7 1591 100.0 100.0 20 29 30 39 40 49 50 59 60 69 70 147 261 250 299 316 315 1588 19 3 0.2 1591 100.0 42 9.2 9.3 16.4 16.4 15.7 15.7 18.8 18.8 19.9 19.9 19.8 19.8 99.8 100.0 598 719 249 1566 6 19 25 37.6 38.2 45.2 45.9 15.7 15.9 98.4 100.0 0.4 1.2 1.6 1591 100.0 2 14 1 2 D.K. 53 1494 1547 13 31 44 3.3 3.4 93.9 96.6 97.2 100.0 0.8 1.9 2.8 1591 100.0 18 1 2 D.K. 934 567 1501 31 59 90 58.7 62.2 35.6 37.8 94.3 100.0 1.9 3.7 5.7 1591 100.0 28 1 2 D.K. 589 969 1558 6 27 33 37.0 37.8 60.9 62.2 97.9 100.0 0.4 1.7 2.1 1591 100.0 38 D.K. 1 2 3 4 7 91 855 624 1577 2 12 14 0.4 0.4 5.7 5.8 53.7 54.2 39.2 39.6 99.1 100.0 0.1 0.8 0.9 1591 100.0

March 2019 Secondary Analysis of the Japanese National Character Survey: Focusing on Question Items of Religious Consciousness ABSTRACT The purpose of this paper is to inquire into the various aspects, structure and character of Japanese religious consciousness by conducting a secondary analysis of the Japanese National Character Survey (the 13 th nationwide survey) data. The survey has been carried out every five years since 1953 by the Institute of Statistical Mathematics (ISM). More detailed information is available on ISM s home page of the Japanese National Character Survey. Secondary analysis is a type of research in which data collected by others are reanalyzed based on the analyzer s own theories, hypotheses and methods. In this paper, I attempt to conduct descriptive analysis, structural analysis and causal analysis focusing on four question items of Japanese religiosity asked in the Japanese National Character Survey. 1. As the method for the descriptive analysis, I propose an idea of geometrical portrayal of the positive rates to the question items of Japanese religiosity using the frequency distribution tables. That is, concretely speaking, a method of piling up each question item in accordance with the size of % of the positive response, and finally drawing a pyramid shape. 2. The methods used for the structural analysis are: (1) correlation matrix, (2) scale analysis, (3) factor analysis and (4) Cronbach s Alpha. 3. The specific procedures involved in the causal analysis are: (1) drawing line graphs showing the relationships between the socio-demographic items and the religiosity items, and (2) drawing line graphs showing the relationships between the religiosity items and the personal-social consciousness and values items. The results of these data analyses show that four question items asked in the Japanese National Character Survey have lower internal reliabilities and lower external validities than expected. Key Words: Japanese National Character Survey, secondary analysis, the various aspects, structure and character of religious consciousness, frequency distribution, reliability, validity