1,720,969 research outputs found
school_data
No full textThis folder includes a Stata do-file (that merges and cleans all the excel files in the folder) and files of administrative data downloaded from KESS (http://kess.kedi.re.kr/index). Files on administrative data were sorted by years, school types, and the types of variables.
*Note: please download this entire folder and save the folder as "school_data" for easier replication. The name will be used in another Stata do-file when merging school data with other Stata data files
school_data
No full textThis folder includes a Stata do-file (that merges and cleans all the excel files in the folder) and files of administrative data downloaded from KESS (http://kess.kedi.re.kr/index). Files on administrative data were sorted by years, school types, and the types of variables.
*Note: please download this entire folder and save the folder as "school_data" for easier replication. The name will be used in another Stata do-file when merging school data with other Stata data files
tax_data
No full textThis folder includes a Stata do-file (that merges and cleans all the excel files in the folder) and files of tax data downloaded from KOSIS (http://kosis.kr/statisticsList/statisticsList_01List.jsp?vwcd=MT_ZTITLE&parmTabId=M_01_01). Files on tax data were sorted by districts (district codes are used as file names). *Note: please download this entire folder and save the folder as "tax_data" for easier replication. The name will be used in another Stata do-file when merging tax data with other Stata data files
population_election_data
No full textThis folder includes a Stata do-file (that merges and cleans all the excel files in the folder), a file of population data downloaded from KOSIS (http://kosis.kr/statisticsList/statisticsList_01List.jsp?vwcd=MT_ZTITLE&parmTabId=M_01_01), and a file of election data collected from South Korea's Local Education Offices websites. *Note: please download this entire folder and save the folder as "population_election_data" for easier replication. The name will be used in another Stata do-file when merging school data with other Stata data files
tax_data
No full textThis folder includes a Stata do-file (that merges and cleans all the excel files in the folder) and files of tax data downloaded from KOSIS (http://kosis.kr/statisticsList/statisticsList_01List.jsp?vwcd=MT_ZTITLE&parmTabId=M_01_01). Files on tax data were sorted by districts (district codes are used as file names). *Note: please download this entire folder and save the folder as "tax_data" for easier replication. The name will be used in another Stata do-file when merging tax data with other Stata data files
population_election_data
No full textThis folder includes a Stata do-file (that merges and cleans all the excel files in the folder), a file of population data downloaded from KOSIS (http://kosis.kr/statisticsList/statisticsList_01List.jsp?vwcd=MT_ZTITLE&parmTabId=M_01_01), and a file of election data collected from South Korea's Local Education Offices websites. *Note: please download this entire folder and save the folder as "population_election_data" for easier replication. The name will be used in another Stata do-file when merging school data with other Stata data files
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
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