Figures | ||
1.1 | Model. | 10 |
1.2 | Task prompt. | 12 |
2.1 | Emergence of the university colleges for teacher education. | 32 |
3.1 | 3D plots of the factor loadings of all items from all three questionnaires on the first three factors extracted according to the results of the PCA (UCB = blue, student engagement = red, social integration = orange). | 54 |
3.2 | Bivariate correlation coefficients between all variables included in the main analyses. | 55 |
5.1 | Expectancy theory. | 83 |
6.1 | Diagram of the multiple streams approach (from Jones et al., 2016, p. 15). | 102 |
8.1 | The KaWuM Competency Model for HE Managers in Germany (adapted from Stifterverband, 2018). | 136 |
8.2 | Code cloud of the coded competences in the 31 NWM interviews. | 140 |
8.3 | Skills required in German HE management: non-digital key competences. | 141 |
8.4 | Code cloud of coded specific communication requirements in HE management in the 31 NWM interviews. | 143 |
8.5 | HE-specific communication Items in KaWuM Survey 2. | 144 |
8.6 | Digital competences in HE management. | 145 |
8.7 | Required skills in German HE management: (HE) administrative competences. | 146 |
8.8 | Skills required in German HE management: area-specific. | 148 |
8.9 | Comparison of competence relevance for HE managers with and without leadership function – Order according to mean difference. | 149 |
8.10 | Elective modules in the Master’s programmes of the universities of Speyer, Osnabrück and Oldenburg. | 150 |
10.1 | 5-year trend of student satisfaction and survey response rates at UJ. | 175 |
10.2 | Student experience with lecturers in 2020 and 2021. | 176 |
10.3 | Sources of data for academic purposes. | 179 |
10.4 | Preferred teaching and learning mode in the future post COVID-19 pandemic. | 180 |
11.1 | A typology of HE systems based on institutional governing bodies. | 191 |
11.2 | The evolution of Hungarian higher education governing bodies. | 195 |
1.1 | Descriptive statistics of individual characteristics and independent variables. | 13 |
1.2 | Need for cognition scale referring to Beißert et al. (2014). | 13 |
1.3 | Need for cognitive closure scale referring to Schlink and Walther (2007). | 14 |
1.4 | Information overload scale referring to Karr-Wisniewski and Lu (2010). | 15 |
1.5 | Media characteristics operationalization. | 16 |
1.6 | Linear regression of NFC and IO model and correctness of source assessment. | 18 |
1.7 | Linear regression of NFCC model and correctness of source assessment. | 18 |
1.8 | Linear regression of NFC/IO model and cue category. | 19 |
1.9 | Linear regression of NFCC model and cue category. | 19 |
1.10 | Linear regression of NFC/IO model and credibility index. | 20 |
2.1 | Descriptives on the perceived influence. | 36 |
2.2 | Assessment of institutional management – Communication. | 37 |
2.3 | Assessment of institutional management – Profile of the institution. | 38 |
2.4 | Internal control and personnel decisions. | 39 |
2.5 | Results of a binary logistic regression analysis. | 40 |
3.1 | Demography of the samples in study 1 and study 2. | 51 |
3.2 | Mean, standard deviation and internal consistence for study 1 and study 2 for all relevant variables. | 56 |
3.3 | Loadings from the PCA for study 1 and study 2. | 57 |
4.1 | Overview of activity areas. | 71 |
5.1 | Professors by HEI type and subject. | 84 |
5.2 | Number of professors with a high, medium or low willingness to enter into cooperative innovations. | 86 |
5.3 | Motives for entering into cooperative innovations (number of mentions). | 88 |
5.4 | Case studies contribution to the research questions. | 94 |
7.1 | Main comparative results. | 123 |
7.2 | Faculty units results (3 years with contracts). | 124 |
8.1 | Administrative law modules and the learning objectives taught therein in the Master’s programmes of the universities of Speyer, Osnabrück and Oldenburg. | 147 |
9.1 | Participant demographics. | 158 |
11.1 | The characterization of three ideal types of governance. | 188 |
11.2 | The development of the governance of Hungarian higher education. | 194 |