Bibliographic Information
Creator: Bauer, Hans
Contributor: Bauer, Hans; Schui, Gabriel; Krampen, Günter; von Eye, Alexander
Funding:
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.
Year of Publication: 2013
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
Abstract
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.
Codebook
Codebook_brhs11me22_bauer_0056_kb
| Position | Name | Label | Valid_values | Missing_values |
|---|---|---|---|---|
| 1 | CODE | Nummerncode zur eindeutigen Kennzeichnung der Person | 1000-5087 "Nummerncode zur Personenkennzeichnung" | -1 "fehlend" |
| 2 | SEX | Geschlecht | 0 "weiblich" 1 "maennlich" | -1 "fehlend" |
| 3 | RANK | Akademischer Rang der Person | 1 "habilitiert" 2 "promoviert" | -1 "fehlend" |
| 4 | UNICODE | Eindeutiger Zahlencode für Universität, an der die Person derzeitig tätig | 1-58 "Zahlencode für Universität" | -1 "fehlend" |
| 5 | ANZ_PROM_HABIL | Anzahl Promovierte und Habilitierte, die an derzeitigem Institut der Person tätig (Abgeleitete Variable) | 14-94 "Anzahl" | -1 "fehlend" |
| 6 | ANZ_PROM | Anzahl Promovierte, die an derzeitigem Institut der Person tätig (Abgeleitete Variable) | 3-50 "Anzahl" | -1 "fehlend" |
| 7 | ANZ_HABIL | Anzahl Habilitierte, die an derzeitigem Institut der Person tätig (Abgeleitete Variable) | 4-50 "Anzahl" | -1 "fehlend" |
| 8 | INST_GROESSE | Großes Institut (Abgeleitete Variable) | 0 "nein" 1 "ja" | -1 "fehlend" |
| 9 | HABIL_PRO_PROMOV | Anzahl Habilitierte pro Promoviertem in Institut (Abgeleitete Variable) | 0,25-4,0 "Anzahl" | -1 "fehlend" |
| 10 | H_PRO_P_DICHO | Große Anzahl Habilitierte im Verhältnis zu Promovierten (Abgeleitete Variable) | 0 "nein" 1 "ja" | -1 "fehlend" |
| 11 | LAND | Land, in dem die Person derzeitig tätig | 1 "Deutschland" 2 "Oesterreich" 3 "Schweiz" | -1 "fehlend" |
| 12 | ANZ_ZITENGL | Anzahl Fremdzitationen aus englischsprachigen Quellen in SCI/SSCI | 0-2606 "Anzahl" | -1 "fehlend" |
| 13 | ANZ_ZITENGL_D | Große Anzahl Fremdzitationen aus englischsprachigen Quellen in SCI/SSCI (Abgeleitete Variable) | 0 "nein" 1 "ja" | -1 "fehlend" |
| 14 | ANZ_ZITGES | Anzahl Fremdzitationen aus allen Quellen in SCI/SSCI | 0-2743 "Anzahl" | -99 "fehlend" |
| 15 | ANZ_ZITGES_D | Große Anzahl Fremdzitationen aus allen Quellen in SCI/SSCI (Abgeleitete Variable) | 0 "nein" 1 "ja" | -1 "fehlend" |
| 16 | ANT_ZITENGLGES | Anteil Fremdzitationen englischsprachige an allen Quellen in SCI/SSCI (Abgeleitete Variable) | 0,0-1,0 "Anteil" | -1 "fehlend" |
| 17 | ANT_ZITENGLGES_D | Hoher Anteil Fremdzitationen aus englischsprachigen an allen Quellen (Abgeleitete Variable) | 0 "nein" 1 "ja" | -1 "fehlend" |
| 18 | ANZ_ZITNENGL | Anzahl Fremdzitationen aus nicht englischsprachigen Quellen der "Psychologie"-Kategorien in SCI oder SSCI | 0-677 "Anzahl" | -1 "fehlend" |
| 19 | ANZ_ZITNENGL_D | Große Anzahl Fremdzitationen aus nicht englischsprachigen Quellen in SCI/SSCI (Abgeleitete Variable) | 0 "nein" 1 "ja" | -1 "fehlend" |
| 20 | ANZ_PUBENGL | Anzahl englischsprachige Publikationen in PSYNDEX, Datenbank des Leibniz-Zentrums für Psychologische Information und Dokumentation | 0-205 "Anzahl" | -1 "fehlend" |
| 21 | ANZ_PUBENGL_D | Große Anzahl englischsprachiger Publikationen in PSYNDEX (Abgeleitete Variable) | 0 "nein" 1 "ja" | -1 "fehlend" |
| 22 | ANZ_PUBGES | Anzahl aller Publikationen in PSYNDEX | 1-920 "Anzahl" | -1 "fehlend" |
| 23 | ANZ_PUBGES_D | Große Anzahl Publikationen in PSYNDEX (Abgeleitete Variable) | 0 "nein" 1 "ja" | -1 "fehlend" |
| 24 | ANT_PUBENGLGES | Anteil Publikationen englischsprachig an allen Publikationen in PSYNDEX (Abgeleitete Variable) | 0,0-1,0 "Anteil" | -1 "fehlend" |
| 25 | ANT_PUBENGLGES_D | Hoher Anteil englischsprachige an allen Publikationen (Abgeleitete Variable) | 0 "nein" 1 "ja" | -1 "fehlend" |
| 26 | ANZ_PUBNENGL | Anzahl nicht englischsprachiger Publikationen in PSYNDEX | 0-865 "Anzahl" | -1 "fehlend" |
| 27 | ANZ_PUBNENGL_D | Große Anzahl nicht englischsprachiger Publikationen in PSYNDEX (Abgeleitete Variable) | 0 "nein" 1 "ja" | -1 "fehlend" |
Study Description
Research Questions/Hypotheses:
Research Design: Search-queries on databases; single measurement
Measurement Instruments/Apparatus:
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
Population: Psychology researchers in the German-speaking countries
Survey Time Period:
Sample: Complete sample
Gender Distribution:
35,1 % female subjects (n=612)
64,9 % male subjects (n=1130)
Age Distribution: Adults
Spatial Coverage (Country/Region/City): German-speaking countries (Germany, Austria, parts of Suiza)
Subject Recruitment:
Sample Size: 1.742 individuals
Return/DropOut: Valid data could be obtained for 81.6 % of the population.
Literature
Publications Directly Related to the Dataset
| Publications Directly Related to the Dataset |
|---|
| Bauer, H. P. W., Schui, G., von Eye, A. & Krampen, G. (2013). How does scientific success relate to individual and organizational characteristics? A scientometric study of psychology researchers in the German-speaking countries. Scientometrics, 94, 523-539. doi:10.1007/s11192-012-0760-3 Datensatz 0262828 |
Further Reading
| Further Reading |
|---|
| Krampen, G., Montada, L., Müller, M. M., & Schui, G. (2005). Internationalität und Internationalisierung der deutschsprachigen Psychologie. Göttingen: Hogrefe. Datensatz 0176790 |
| 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. |