|von Eye, Alexander|
|Title||How does scientific success relate to individual and organizational characteristics? Research data of a scientometric study of psychology researchers in the German-speaking countries.|
|Original Title||Besteht ein Zusammenhang zwischen organisationalen und individuellen Merkmalen und wissenschaftlichem Erfolg? Forschungsdaten einer szientometrischen Untersuchung zu psychologischen Forschern in deutschsprachigen Ländern.|
|Citation||Bauer, H., Schui, G., Krampen, G., & von Eye, A. (2013). How does scientific success relate to individual and organizational characteristics? Research data of a scientometric study of psychology researchers in the German-speaking countries. [Translated Title] (Version 1.0.0) [Data and Documentation]. Trier: Center for Research Data in Psychology: PsychData of the Leibniz Institute for Psychology ZPID. https://doi.org/10.5160/psychdata.brhs11me22|
|Language of variable documentation||German|
|Responsible for Data Collection||Hans Bauer|
|Data Collection Completion Date||2011|
|Study Description||Associations of individual as well as organizational characteristics with research output were investigated for the population of psychology researchers in the German-speaking countries. Generating search-queries on literature databases, bibliometric data and individual as well as organizational characteristics were obtained and analyzed using Configural Frequency Analysis (CFA). Moreover, research output of the analyzed population as a whole was described to provide an anchor for monitoring and international comparison. Findings revealed that approximately 25 % of the population was publishing almost exclusively in German, only 5 % almost exclusively in English. Skewed distributions for publications and citations were found. Combination of female gender, small department size, and large quota of senior researchers was associated with particularly increased publication count. High publication count, large department size, and low quota of senior researchers were associated with increased citation count.
Interactions of individual as well as organizational characteristics with scientific success should be investigated further, e.g., by adopting various measures of organizational or gender diversity and tracing a population longitudinally.
|Keyphrase||scientometric study of research output & success of 1 742 academic psychologists in German-speaking countries; role of department characteristics & academic status & gender; research data|
|Rating||A positive aspect of the study is the large sample size (~82% of the population in question, see section "Population"), allowing an extremely reliable bibliometric characterization of research performance.
The bibliometric data are cumulative, meaning that they encompass the researcher’s entire past work. The data are not differentiated for specific periods of time (e.g. research performance during the past two years).
|Classification||Professional Psychological & Health Personnel Issues|
|Controlled Terms||Scientific Communication
Printed Communications Media
|Research Method Description||Bibliometric Data|
|Classification of Data Collection||Search-queries on databases|
|Research Instrument||Personal data were collected in autumn 2010 using the online version of the Hogrefe psychology calendar (http://www.hogrefe.de/service/psychologie-kalender/). This calendar lists personnel employed at psychological institutes / departments of universities and other research centres.
Subjects were only considered if they…
- were listed as employees at a category "A" institute (university institute that offers a degree in psychology as a major)
- were not assigned to the employee category "C" (temporary research assistants)
- had a doctorate (according to title information in the psychology calendar)
- had graduated with a major in psychology (also determined by means of title information; when a generic title such as "Prof. Dr." was listed, a psychology major was assumed)
The generated population comprised 2134 subjects. The following subjects were excluded to ensure data quality:
- subjects for whom no publications could be found
- subjects with very common names (as publications and citations can not be reliably matched to these persons)
The final sample size obtained was N = 1742 (81.6 % of the population). A detailed description of the exclusion method is available from the authors upon request.
This final population was coded using name, sex and academic position title (doctorate vs. post-doctorate). The following organizational traits were used: the number of subjects from the population employed at each psychological institute as an indicator of institute size and the quotient of the number of post-doctorate and non-post-doctorate employees as an indicator for the ratio of experienced to young researchers.
Using the names of the population members, personal bibliometric parameters were collected from varying literature databases:
- PSYNDEX: total number of publications, number of English publications
- Web of Science (Science Citation Index Expanded + Social Science Citation Index): total number of citations, number of citations in English publications, total number of publications (the later value was solely used for validity control of the data and is not included in the dataset)
All of these queries took place between the beginning of August and the end of October 2011 and were not limited to a specific time period, meaning that the indicators pertain to the complete works of the investigated individuals.
|Data Collection Method||Search-queries on databases|
|Time Points||single measurement|
|Survey Time Period||-|
|Population||Psychology researchers in the German-speaking countries|
|Sample Size||1742 individuals|
|Return/Drop Out||Valid data could be obtained for 81.6 % of the population.|
|Gender Distribution||35,1 % female subjects (n=612)
64,9 % male subjects (n=1130)
|Special Groups||Psychology researchers|
|Country||German-speaking countries (Germany, Austria, parts of Suiza)|
Variables for individual traits: Gender, academic position, country
Variables for organizational traits: Numerical code for university, number of employees with doctorates and post-doctorates at the institute, large institute, number of employees with a post-doctorate per employee with a doctorate at the institute
Variables for bibliometric traits:
Number of citations by others in all / only English / only non-English sources in Web of Science
Number of all / only English / only non-English publications in PSYNDEX
Proportion of citations by others in English sources to total citations by others
Proportion of English publications to all publications
|Original Records||Results of search-queries on databases|
|Transformation||Names and demographic data were determined using the Hogrefe psychology calendar. Short forms were formed using first and last names (last name - first initial combination, e.g. “Schmidt, H”); this short form was then used to search for personal publication frequency in PSYNDEX and citation frequency in Web of Science. The datasets were combined using the short forms (cases with identical short forms were excluded from the dataset).|
|Description||Research data set|
|Data Content||1742 subjects, 27 variables|
|Data Points||1742*27=47034 data points|
|Variables||Subject number (1), sex (1), academic position (1), numerical code for university (1), number of employees with doctorates and post-doctorates at the person’s current institute (1), number of employees with a doctorate at the person’s current institute (1), number of employees with a post-doctorate at the person’s current institute (1), large institute (according to number of employees with doctorates and post-doctorates; based on a median split) (1), number of employees with a post-doctorate per employee with a doctorate at the institute (1), large number of employees with a post-doctorate compared to those with a doctorate (based on a median split) (1), country code (1), number of citations by others in English sources in the “Psychology” categories in SCI or SSCI (1), large number of citations by others in English sources in SCI/SSCI (based on median split) (1), number of citations by others in all sources in the “Psychology” categories in SCI or SSCI (1), large number of citations by others in all sources in SCI/SSCI (based on median split) (1), number of citations by others in English/all sources in SCI/SSCI (1), large proportion of citations by others in English to all sources (based on median split) (1), number of citations by others in non-English sources in the “Psychology” categories in SCI or SSCI (1), large number of citations by others in non-English sources in SCI/SSCI (based on median split) (1), number of English publications in PSYNDEX (1), large number of English publications in PSYNDEX (based on median split) (1), total number of publications in PSYNDEX (1), large number of publications in PSYNDEX (based on median split) (1), proportion of English/all publications PSYNDEX (1), large proportion of English to all publications (based on median split) (1), number of non-English publications in PSYNDEX (1), large number of non-English publications in PSYNDEX (based on median split) (1)|
|German codebook of the research data file brhs11me22_fd.txt||brhs11me22_kb.txt|
|Publications Directly Related to the Dataset|
|Lotka, A. J. (1926). The frequency distribution of scientific productivity. Journal of the Washington Academy of Sciences, 16, 317-323.|
|Moed, H. F., Glänzel, W. & Schmoch, U. (2004). Handbook of Quantitative Science and Technology Research: The Use of Publication and Patent Statistics in Studies of S & T Systems. Berlin: Springer.|
|Moed, H. F., Luwel, M., Houben, J. A., Spruyt, E., & Berghe, H. (1998). The effects of changes in the funding structure of the Flemish universities on their research capacity, productivity and impact during the 1980's and early 1990's. Scientometrics, 43, 231-255. doi:10.1007/BF02458409|
|Redner, S. (1998). How Popular is Your Paper? An Empirical Study of the Citation Distribution. The European Physical Journal, B4, 131-134.|
|von Eye, A., & Gutiérrez Peña, E. (2004). Configural frequency analysis: The search for extreme cells. Journal of Applied Statistics, 31, 981–997. doi:10.1080/0266476042000270545.|
|von Tunzelmann, N., Ranga, M., Martin, B., & Geuna, A. (2003). The effects of size on research performance: A SPRU Review. Brighton: University of Sussex.|