0.1 Descriptives

Table h.1: Descriptive statistics

##       journal       year.c       special         sex      
##  Hyoron   :834   1950's:113   general:1069   female: 211  
##  Sosioroji:549   60's  :204   special: 314   male  :1157  
##                  70's  :184                  NA's  :  15  
##                  80's  :194                               
##                  90's  :190                               
##                  2000's:277                               
##                  2010's:221                               
##         status     tenured                method2    multipleAuthors
##  students  :394   Mode :logical   theoretical :739   Mode :logical  
##  associate :218   FALSE:713       historical  :183   FALSE:1340     
##  professor :197   TRUE :531       ethnographic:225   TRUE :43       
##  researcher:115   NA's :139       quantitative:236                  
##  lecturer  :105                                                     
##  (Other)   :215                                                     
##  NA's      :139

0.3 Multinomial Logit Model

\[ \log \left(\frac{P_{ij}}{P_{i1}}\right) = \beta_{0j} + \beta_{1j} X_{i1} + \beta_{2j} X_{i2} + \cdots + \beta_{kj} X_{ik}, \] supposing \(P_{i1}\) is the probability that a paper, \(i\) employs theoretical methods, \(P_{ij} \ (j = 2, \ 3, \ 4)\) is the probability that a paper, \(i\) employs, historical, ethnographic, or quantitative methods, and \(X_{i1}, \ \ldots, \ X_{ik}\) are independent variables. Parameters are estimated with the maximum likelihood method.

Table h.2: Multinomial Regression Model predicting research methods (The theoretical method is the reference)
historical ethnographic quantitative
(Intercept) -1.36*** -1.01*** -0.98***
(0.28) (0.25) (0.25)
Sosioroji 0.69*** 0.39* 0.20
(0.21) (0.20) (0.20)
special -1.37** -0.56 -0.52
(0.49) (0.40) (0.33)
multipleAuthors 0.25 1.47** 2.49***
(0.81) (0.56) (0.43)
male -0.57* -0.75*** -0.69**
(0.24) (0.22) (0.23)
tenured -0.08 -0.19 0.31
(0.22) (0.22) (0.19)
year 0.38*** 0.54*** 0.30***
(0.06) (0.06) (0.06)
year squared 0.12*** 0.13*** 0.11***
(0.03) (0.03) (0.03)
special X year 0.04 0.15 -0.39**
(0.13) (0.20) (0.13)
special X year squared 0.09 -0.13 -0.15*
(0.07) (0.10) (0.07)
Deviance 2665.00 2665.00 2665.00
Num. obs. 1231 1231 1231
p < 0.001, p < 0.01, p < 0.05
Fig h.6: Trends of methods predicted by the logit model, assuming paper is general, written by a single male tenured author on Sosioroji

Fig h.6: Trends of methods predicted by the logit model, assuming paper is general, written by a single male tenured author on Sosioroji