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Full Terms & Conditions of access and use can be found at http://www.tandfonline.com/action/journalInformation?journalCode=rehe20 European Journal of Higher Education ISSN: 2156-8235 (Print) 2156-8243 (Online) Journal homepage: http://www.tandfonline.com/loi/rehe20 University academics’ preferences for hiring and promotion systems Luis Sanz-Menéndez & Laura Cruz-Castro To cite this article: Luis Sanz-Menéndez & Laura Cruz-Castro (2018): University academics’ preferences for hiring and promotion systems, European Journal of Higher Education, DOI: 10.1080/21568235.2018.1515029 To link to this article: https://doi.org/10.1080/21568235.2018.1515029 © 2018 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group Published online: 29 Aug 2018. Submit your article to this journal Article views: 441 View Crossmark data

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Page 1: University academics’ preferences for hiring and promotion ...digital.csic.es/bitstream/10261/173985/1/Luis Sanz... · preferences, sociologists have traditionally highlighted the

Full Terms & Conditions of access and use can be found athttp://www.tandfonline.com/action/journalInformation?journalCode=rehe20

European Journal of Higher Education

ISSN: 2156-8235 (Print) 2156-8243 (Online) Journal homepage: http://www.tandfonline.com/loi/rehe20

University academics’ preferences for hiring andpromotion systems

Luis Sanz-Menéndez & Laura Cruz-Castro

To cite this article: Luis Sanz-Menéndez & Laura Cruz-Castro (2018): University academics’preferences for hiring and promotion systems, European Journal of Higher Education, DOI:10.1080/21568235.2018.1515029

To link to this article: https://doi.org/10.1080/21568235.2018.1515029

© 2018 The Author(s). Published by InformaUK Limited, trading as Taylor & FrancisGroup

Published online: 29 Aug 2018.

Submit your article to this journal

Article views: 441

View Crossmark data

Page 2: University academics’ preferences for hiring and promotion ...digital.csic.es/bitstream/10261/173985/1/Luis Sanz... · preferences, sociologists have traditionally highlighted the

University academics’ preferences for hiring and promotionsystemsLuis Sanz-Menéndez and Laura Cruz-Castro

Consejo Superior de Investigaciones Científicas (CSIC), Institute of Public Goods and Policies (IPP), Madrid,Spain

ABSTRACTAcademic employment systems have recently been subjected topolicy-driven changes in many countries, but the university sectoris still governed by collegial dynamics in which academics’ viewsand attitudes are important. The present study, based on datafrom questionnaire survey responses from 4460 faculty membersin public universities in Spain, attempts to account for thepreferences of academics for the current system of accreditationfor hiring and promotion. Following two previous reforms andmore than ten years of operation of the accreditation system, overfifty per cent of academics would prefer a different model forhiring and promotion. We identify four sets of explanatory factorslinked to: academics’ self-interest, beliefs and values, personalexperience and learning, and socialization and institutional factors.We find that academics’ preferences are neither solely norprimarily explained by their career advancement interests. Ourresults show that preferences regarding the hiring and promotionsystems are strongly associated with a set of beliefs and values,especially the belief in the relative suitability of accreditation toguarantee merit-based selection.

ARTICLE HISTORYReceived 13 November 2017Accepted 16 July 2018

KEYWORDSAcademic careers; academics’accreditation; meritocracy;preferences; university hiringand promotion; tenure

1. Introduction

There exists a considerable body of research aimed at characterizing university systems ingeneral (e.g. Clark 1983; Marginson and Rhoades 2002; Olsen 2007). Employmentsystems in universities have been identified as an important factor in the definition of uni-versity types (Whitley 2012), while the relative autonomy of higher education institutionsand their departments to hire and promote academic staff is one of the essential dimensionsof university employment systems. The operation and consequences of these systems havemostly been analyzed from the North American perspective (e.g. Clark and Ma 2005),although there are also case-based analyses accounting for the specificities of the academicprofession in various other countries (e.g. Altbach 1996; Enders 2001).

© 2018 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis GroupThis is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives License(http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in anymedium, provided the original work is properly cited, and is not altered, transformed, or built upon in any way.

CONTACT Luis Sanz-Menéndez [email protected] CSIC Institute of Public Goods and Policies (IPP), Calle Albasanz26-28, 28037 Madrid, Spain

EUROPEAN JOURNAL OF HIGHER EDUCATIONhttps://doi.org/10.1080/21568235.2018.1515029

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In recent decades, many country university systems have been subjected to policy reforms(Paradeise et al. 2009; Dobbins, Knill, and Voegtle 2011; Bleiklie andMichelsen 2013), aimedat steering activities (Ferlie, Musselin, and Andresani 2008) and providing greater autonomyto universities as organizational actors (Whitley and Gläser 2014). Among these transform-ations, some are linked to hiring and promotion and include changes in the employmentmodel for academics, such as the abandonment of civil servant status (Pechar 2004),reforms of the hiring and promotion systems (Enders 2001), the introduction of new evalu-ation systems (Musselin 2013), the expansion of accreditation (Gornitzka and Stensaker2014) or habilitation (Abramo and D’Angelo 2015).

Despite the changes in the relations of authority that reforms have produced, univer-sities and governments still require a significant level of compliance and cooperationfrom academics to guarantee good performance. It is well known that the success ofany policy is partly determined by the affected individuals’ views and attitudes andtheir cooperation (e.g. Levy-Faur 2014). This is especially true in sectors in which theimplementation of policies is partially or even completely delegated to collegial dynamics,as is often the case in academic hiring and promotion. If the cooperation of actors isneeded for good governance and institutional functioning, it seems pertinent to under-stand the preferences of academics regarding these issues, but to the best of our knowledgethis topic has not been addressed.

Due to its recent and divergent regulatory changes, Spain is a relevant case for theanalysis of the systems of academic hiring and promotion. In the last 15 years therehave been three different systems, each with a different balance between the degree ofuniversities’ hiring autonomy and the extent to which government (through agencies orappointed committees) is involved in managing the evaluation or selection of candidates.In essence, each system represents a different solution to the basic tradeoffs between theautonomy of universities (vis à vis the government), and the mechanism of merit-basedassessment (delegated to departments instead of being established by external bodies).

Preferences are a central concept in the explanation of human behaviour and socialaction; they have been an immediate cause of behaviour and generally included in rationalapproaches. While economists tend to include taste and emotions for understandingpreferences, sociologists have traditionally highlighted the change and diversity of prefer-ences among actors and social organizations (e.g. Freese 2009 for a general review); thus,comprehension of the preferences regarding specific issues, especially institutionalarrangements such as hiring and promotion systems, is essential to understand socialmobilization and policy change in this domain.

To contribute to the study of the preferences of university academics, this paper pre-sents a case study of Spanish universities, and addresses two main questions: Does thecurrent system of university hiring and promotion enjoy wide support among faculty?What factors account for the preferences of academics for the current system?

The paper is organized as follows: Firstly, we build on the literature on the formation ofpreferences to present our analytical framework. Secondly, we review the systems of hiringand promotion in Spain since the 1980s. Thirdly, we explain the methodology and thevariables used in the analysis. Fourthly, we present the results of our analysis anddiscuss them; finally, we offer some conclusions and policy implications of our researchand acknowledge its limitations.

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2. Analytical framework: how to account for preferences?

The academic community has traditionally been responsible for the main functional areasof universities, including the definition of recruitment criteria and the selection of newfaculty members (Braun et al. 2015). However only limited attention has been paid tothe preferences of academics themselves. There are exceptions, like the classic studiesby the Carnegie Foundation (Altbach 1996) or the project Changing Academic Profession(CAP) (Teichler, Arimoto, and Cummings 2013), both of which include the analysis ofacademics’ opinions, attitudes and preferences regarding different aspects of academiclife. These include working conditions, work environment, preferences for tasks, job sat-isfaction, perception of quality assurance and, more generally, the aims of the academicprofession (e.g. Locke, Cummings, and Fisher 2011; Rosa, Sarrico, and Amaral 2012;Teichler and Höhle 2013; Bentley et al. 2013); additionally, some surveys have addressedacademics’ opinions regarding higher education policies in European countries (Euroba-rometer 2007).

However, when analysing the literature we find no relevant research into the specificissue of the preferences of academics regarding hiring and promotion systems in univer-sities, although there have been some developments in the study of expectations, prospectsand career preferences. For example, Fox and Stephan (2001) addressed the interactionsbetween the preferences and subjective prospects of doctoral students, and Sauermannand Roach analyzed the preferences of academics in a vocational orientation to science(Roach and Sauermann 2010; Sauermann and Roach 2012) or an interest in entrepreneur-ial activities (Roach and Sauermann 2015). In Europe, career preferences and expectationshave been also studied at national levels, employing diverse approaches (e.g. Conti andVisentin 2015; Van der Weijden et al. 2016; Fernández-Díaz, Carballo-Santaolalla, andGalán-González 2010).

At the same time, the formation of preferences has been widely analyzed in many fieldsincluding psychology, economics and public policy. In this paper we use an analytical fra-mework based on the literature of preference formation and we view the concept of pre-ference ‘as a comparative evaluation of a set of objects’ (Druckman and Lupia 2000, 2). Theobjects of preferences are external and are aspects of the environment that are evaluated inrelation to one another; the objects within a preference are those which can be thought ofas substitutable. Despite substantial debate on the issue of preference formation, it is gen-erally accepted that preferences emerge from the interaction between individuals and theirenvironments; preferences come, on the one hand, from individual cognitive processesand, on the other, from social and institutional contexts.

In other areas of research, such as political behaviour or policy analysis, the study ofattitudes and preferences has been widely addressed. This stream of literature is vast(see Druckman and Lupia 2000 for a review), and some attempts to summarize the rel-evant factors have been made. For example, Kinder (1998) has signaled three broadtypes of influence that account for what citizens think and prefer: material self-interest,social identification and ideological principles. Others have insisted on a fourth factorsuch as the cognitive dimension involved in preferences (Tversky and Kahneman 1981)or the role of learning from experience (Holland et al. 1986).

This previous research into preferences and their determinants in other research fieldspoints to four sets of factors as potentially relevant in accounting for individuals’

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preferences regarding hiring and promotion options. These factors are conceptually linkedto: self-interest; beliefs and values; personal experience and learning; and socialization andinstitutional factors. Our contribution is to build on the previous literature and consists ofapplying the preferences framework to the question of academics’ hiring and promotion.In our study, we empirically analyse the preference of university academics for the currentaccreditation system for hiring and promotion over other alternatives that have been inplace in the recent past; such a preference is our explanandum.

Identifying the self-interest of academics in relation to their preferences for pro-motion systems is an analytical challenge. Individuals might develop self-interestbased on their career positions; they estimate the cost of advancement, the difficultiesor the degree of competition in accessing a career and gaining promotion and it is onlyto be expected that they prefer the system which they feel favours them. As we knowfrom previous research (Lau and Heldman 2009), the self-interest of individuals is notthe sole determinant of preferences; in many instances, preferences do not depend asmuch on material self-interest as on the perceived situation in the issue at stake(Kinder and Kiewiet 1979).

Beliefs and values also matter (Chong, Citrin, and Conley 2001), and may contribute toexplaining preferences (Heiphetz, Spelke, and Banaji 2014) concerning hiring and pro-motion systems. The values and beliefs of academics regarding the functioning of suchsystems, their levels of competiveness or thoroughness, or how closely they adhere to mer-itocracy are factors that might influence preferences concerning promotion arrangements.Beliefs are stable in the short and medium term, but may change in the long run (Sabatier1988); one of the sources of potential changes is related to cognitive and learningprocesses.

Preferences may also change following learning and personal experiences, interactionswith social actors and access to new information (Holland et al. 1986). Compared to beliefsand values, experience and learning are process variables and have a time dimension andan interactive component. It is to be expected that personal experiences of participation inaccess and promotion systems, or having been promoted in the past through a specificsystem could shape preferences, due to feedback effects. Top managerial experience inhigher education institutions could also be a relevant factor, providing individuals witha realistic view of the complexities of decision making.

Socialization and institutional factors (Weidman and Stein 2003; Bolzendahl andMyers 2004) may similarly shape preferences. Academics belong to groups, fieldsand institutions, related to a greater or lesser degree to local or international environ-ments. Compared to learning and personal experience, these factors are more closelyrelated to the social context or environment. In the case which immediately concernsus, it is sensible to expect that the identification of the individual with his/her depart-ment or university (rather than with the broader field or discipline) and the tensionbetween localism and cosmopolitanism (Blau 1973) will affect his/her support for par-ticular promotion system. For example, some attributes related to a stronger attach-ment to the local environment, such as having gained a PhD at the university ofcurrent employment, could make academics critical of hiring and promotion systemsthat remove control of the process from the local environment and, instead, more sup-portive of models that provide departments with a strong degree of autonomy (Horta,Veloso, and Grediaga 2010). Additionally, international experience is an important

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source of human capital acquisition and socialization in academia (Groves, MontesLópez, and Carvalho 2018).

Following the presentation of certain features of and recent changes in academic hiringand promotion in Spain, we empirically test these relationships.

3. The Spanish context: hiring and promotion systems

Until 1983 the system of hiring and promotion at universities as well as the total numberof positions available operated through a centralized selection process based on a nationallevel, exam-based competition promoted annually by the Ministry of Education. The suc-cessful candidates, who were automatically awarded the status of full professor, associateprofessor or assistant professor (all of them becoming national civil servants), selected aspecific university with available positions.

Subsequently, the 1983 Law of University Reform established that universities couldonly have two ranks of permanent academic employees (both offering tenure and civilservant status): full professor and associate professor. All the remaining categories weretemporary. The reform also significantly increased university autonomy (Sanchez-Ferrer 1997). From 1983 until 2001, universities had legal autonomy over the vacancies,selections, hiring and promotion processes, with very limited intervention by the state.Candidates were selected through competitions at the local level, where the evaluation cri-teria were established by the department and implemented at a committee level (Mora2001). It was, in short, a decentralized type of selection managed by universities andtheir departments (Cruz-Castro and Sanz-Menéndez 2010).

Although very different in nature and in the degree of autonomy awarded to univer-sities, the systems until 2001 were systems in which successful candidates were directlygranted a post in a one-stage process.

The 1983 system received considerable criticism, as one of the consequences ofstrong decentralization was a higher level of inbreeding and a reduction of academicmobility (Navarro and Rivero 2001). At the end of the 1990s, a significant level of dis-trust concerning the ability of universities to openly hire and promote based on meritwas consolidated (e.g. Nature 1998). Some demands for policy changes in academiawere based on two related ideas: that either the hiring and promotion processesshould be centralized, or that at least there should be an ex ante evaluation of candi-dates external to universities.

A new Law of Universities in 2001 made significant changes to the regulatory environ-ment (OECD 2009), keeping the academic civil servant categories identical, but introdu-cing a new category of contracted doctors, who were to be permanent faculty memberswith the same competences as associate professors but outside the civil servant model.The new system for accessing the ranks of civil servant academics (full professor andassociate professor) established a two-stage process, based on centralized public examscalled habilitations. In the first stage, candidates were required to pass the open competi-tive national exams. The national government managed the selection process directly andappointed members of the selection committees through a lottery mechanism. Thoseawarded a habilitation were eligible to take part in a decentralized selection process orga-nized by the university departments interested in hiring full or associate professors. Thissecond stage was managed by the departments involved, which had to make a choice of

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which candidate to appoint from among those previously in receipt of a habilitation, but inpractice the system became principally an internal promotion mechanism for thoseholding the habilitation in the same department. Overall, the system was extremely com-petitive as there was a very limited number of habilitations available per year and, in prac-tical terms, obtaining the habilitation meant being awarded tenure or promotion quiterapidly, usually at the same university at which the individual was already employed(see for example Zinovyeva and Bagues 2012).

The centralized habilitation system was strongly contested by the universities, whichconsidered it to be a hindrance to their autonomy and very costly in terms of the timeand effort of the evaluators and participants (Science 2006). The system was eventuallyreplaced in 2007 by the extension of the accreditation system (originally created onlyfor contracted doctors) to the full and associate professor ranks.

Since 2008 the current system has been a two-stage model based on accreditations; thesystem is applied to the two civil servant academic ranks (associate and full professor) andto contracted academics, but while accreditation for civil servant positions is organized atthe national level by a single agency (ANECA), accreditation for contracted positions ismanaged by diverse regional accreditation agencies, using various evaluation criteria(Galán, González-Galán, and Rodríguez-Patrón 2014).

At the first stage, individuals applying for the accreditation award submit their CVs.1

There are no limits to the number of accreditations that the agency may award, so atthis stage the system is not a tournament. Moreover, there are no limits to the numberof times an individual can apply; it is an accreditation aimed mainly at guaranteeing athreshold of acceptable quality (e.g. Buela-Casal 2007; Sierra et al. 2009). According toofficial data, the success rate in accreditation, between 2008 and 2016, for associate was65% and for full professor was 67%, with a total of over 21,000 accredited academics inthe period.

Once accreditation for a specific academic rank has been awarded, individuals are eli-gible to apply for any position declared at the university level. At this second stage, localcompetitions are managed by each university and its departments, who establish theevaluation criteria, appoint the committee and, more generally, define the hiring strategy.Departments enjoy a considerable degree of autonomy in appointing evaluation commit-tee members, with the only obligation being that they are already at the corresponding aca-demic rank, and with no requirements regarding the proportion of internal and externalreviewers, although most universities have continued to use the traditional proportion,established in 1983, of two departmental members and three external academics (Cruz-Castro and Sanz-Menéndez 2010).

The different systems described above may be located on two axes depicting the degreeof autonomy of universities in the hiring and promotion processes and the existence orabsence of an ex ante evaluation of candidates against government-established criteriaof merit and managed by external committees/agencies, as shown in figure 1. Thearrows represent the time sequence of such changes over the years, starting in quadrantI, a system with no ex ante evaluation and reduced university autonomy.

It is possible to identify certain tradeoffs in the different systems. In systems with greatdepartmental autonomy in hiring and promotion decisions (II), this autonomy involvesthe risk, without proper incentives or the introduction of impartial external reviewers, ofpotential practices of inbreeding. Conversely, systems which introduce an ex ante evaluation

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by external committees (III) function more openly (given the limits of academic networksand the impact of disciplinary fields), but at the expense of university autonomy in selectingcandidates and defining departmental strategies and with the consequence of reducing thediversity of career models, due to more homogeneous evaluation criteria.

The current accreditation system (IV) is a compromise between general ex ante indi-vidual evaluation in the obtaining of academic tenure and promotion and the maintenanceof university autonomy. In this system, the initial evaluation of individual merit isremoved from the departmental and university level, but it gives departments ample dis-cretion over eventual selection from among those eligible (accredited candidates). On theone hand, the first phase of the current accreditation system has been criticized on variousgrounds. Firstly, that it does not provide full autonomy to universities regarding employ-ment policies; secondly, because it increases the bureaucratization of academic careers andred tape and because such administrative burdens impose obstacles on foreigners,indirectly narrowing the market (e.g. accreditation procedures are mainly in Spanish);thirdly, because the threshold of merit requirements is low and quantitatively oriented.On the other hand, the system has been defended as a mechanism guaranteeing aminimum level of quality. In the second phase, support from the relevant department isthe key step in obtaining a position.

4. Data, methods and the construction of variables

The data used in the current analysis were obtained by a questionnaire administeredthrough a web-based survey between March and June 2015 by a specialized company

Figure 1. Changes in university hiring and promotion systems in Spain. Source: Authors’ elaboration.

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(IMOP S.A.). The reference universe was the population of academics holding a PhD andworking in public universities, with either permanent positions or temporary appointments.

In order to guarantee the representativeness of the sample we considered the three basictypes of universities that exist in the country (García-Aracil and Palomares-Montero2010). Accordingly, we included in the sample 8 large generalist universities, 4 specializedin engineering and applied sciences and 8 smaller and younger universities. We also con-sidered their size and the distribution of staff among scientific fields. Finally, in recognitionof the fact that universities differ depending on the quality of their academics, we includeduniversities with different levels of research performance, according to their positions inbibliometric rankings measured by the indicator of normalized impact factor (FundaciónCYD 2014). The 20 universities selected represented 46% of the total academic staffemployed in public universities.

The final number of e-mails sent was 31,651. We were able to count on collaborationfrom 14 out of 20 selected universities which provided direct access for all academics’ e-mail addresses; for the other six universities we selected the population of interest by fieldsof science, to keep the total sample balanced and representative. The sample error esti-mated for the total sample was 1.4%, for p = q = 50% and a significance of 95.5%. Thesurvey was performed among academics employed in the universities selected having per-manent employment or holding a PhD. They received an e-mail mentioning the overallproject, with an individualized link to the web page. Up to five reminders were sent.We obtained 5,004 valid responses. Discounting delivery failures (mistaken e-mailaddresses and non-eligible recipients) we consolidated the rate of response (with regardto the reference population) at 18%. The final figure of the sample used in this analysisis 4,460.

To evaluate the representativeness of the sample and the potential response bias, wecompared the structure of the sample and the universe in terms of age group, gender,scientific field and academic position, as reported in official data. We found that thesample and universe were significantly similar. We also compared the distribution ofthe dependent variable in universities with higher and lower levels of response rates, toascertain the possible effects of non-response on the choices; non-significant differenceswere found. Universities had different response rates, but these were unrelated to univer-sity type or with their position in the quality rank; additionally, the basic features ofrespondents and the total population were not significantly different.

Based on the analytical framework advanced in section 2, we constructed several vari-ables aimed at testing the explanatory power of the different factors identified. We presentthese variables, grouped by factor, and the descriptive statistics in Table 1.

The dependent variable is the preference for the current accreditation system for hiringand promotion. It is a dummy variable constructed from a question by which respondentswere asked to choose between the accreditation system currently in place, the previoussystem of centralized habilitations, or the former decentralized model in place between1983 and 2001. We dichotomized the variable because we are interested in factorsaccounting for the preference for the current accreditation system, and the questionwas a one-choice question.

As for the independent variables, we constructed two variables to estimate the role ofself-interest. The first is eligibility for promotion; those already in the upper rank of fullprofessor (18% in our sample) cannot be promoted. The second variable is the prior

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holding of an accreditation to an upper rank; if individuals are self-interested it is to beexpected that those academics already possessing an accreditation to an upper rank willbe more likely to prefer the current system, as compared with their non-accreditedcounterparts, since they have already made an investment in the process and haveincurred in some kind of sunk costs.

To test the role of beliefs and values we used two variables. The first is a dummy variablethat expresses the belief that ‘an accreditation system is adequate to guarantee a merit-based selection’.2 The second is an ordinal variable, measuring the individual academic’soverall view of the method of hiring and promotion in Spanish universities, which we terman appraisal index. It stems from a question in which we asked respondents to choose upto three adjectives (from a list of 4 negative and 5 positive adjectives) which to their mindsbest define the current situation; these were nepotistic, parochial, inbred, cronyism, inter-nationalized, excellent, competitive, open, and meritocratic. For each of the respondents wecounted the number of negative and positive adjectives selected and we normalized thevalues from 1 to 7, where 1 is a very negative appraisal and 7 a highly positive one.3

The expectation is that the higher the value of the index the higher will be the preferencefor the current system (accreditation); if the appraisal situation is mostly negative it islikely that the respondent ‘blames’ the current accreditation system.

To analyse the role of personal experience and learning we included the following set ofvariables. Firstly, we introduced a dummy variable for those who had accessed theircurrent position through the accreditation system. Secondly, we identified those whohave participated in job openings and selection procedures under the current accreditation

Table 1. Variables and descriptive statistics.

N Min MaxMean value or

shareStandarderror

Dependent variablePreference for accreditation (Yes) 4460 0 1 .49 .007

Independent variables1. Self-interestAccredited to upper rank (Yes) 4460 0 1 .26 .007Eligible for promotion (Yes) 4460 0 1 .82 .006

2. Beliefs and valuesBelief that the accreditation system is the most adequate systemfor merit-based selection (Yes)

4460 0 1 .39 .007

Appraisal index of the situation of promotion in the universitysystem

4460 1 7 3.78 .029

3. Personal experience and learningPromoted to current post under accreditation system (Yes) 4460 0 1 .35 .007Experience in the accreditation process (Yes) 4460 0 1 .16 .006Experience in university top management (Yes) 4460 0 1 .04 .003Degree of professional satisfaction 4460 1 5 3.52 .015

4. Institutional and socialization factorsStrongly inbred (Yes) 4460 0 1 .51 .007International experience (Yes) 4460 0 1 .67 .007Universalism index 4460 1 5 3.51 .012

Control variablesGender (Female) 4460 0 1 .37 .007Age 4460 25 84 48.86 .142Field of science [science, engineering and biomedical (FOS-1,2,3,4)].

4460 0 1 .53 .007

Top quality researcher (Yes) 4460 0 1 .10 .005Research as preferred activity (Yes) 4460 0 1 .27 .007

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system; again, if personal experience has a reinforcing effect, we should expect a higherprobability of preferring accreditation, especially considering the high success rates inthe accreditation process reported (see previous section). Thirdly, most academics havea limited perspective and positive experiences may be mixed with self-interest; to copewith this issue we also included a measurement of experience in top university managerialpositions (rectors or vice-rectors) to test whether responsibilities and a more global view ofuniversity functioning affect preferences. We also included a broad measurement of thedegree of general satisfaction of academics with their current job, measured by a Likertscale from 1 to 5.

Finally, to test the role of socialization and institutional factors we first included twodichotomous variables. To analyse attachment to the local environment we constructeda variable indicating that the academic is strongly inbred, considering the circumstancethat he/she received his/her bachelor’s and doctoral degree at the same university atwhich he/she is currently employed. A second dummy variable represents academics’international experience; we constructed a variable to reflect the fact that he/she hadspent at least three consecutive months at universities or research centres abroad.Finally, with the expectation that a stronger identification of academics with their disci-pline could provide a broader vision than commitment to a particular university, we com-pared the relative identification with the university and the discipline and constructed auniversalism index as a summative index of the position of the respondent on the identitycontinuum, where 1 is maximum identification with the university and 5 maximumidentification with the discipline.

We also introduced certain control variables, identified as relevant in the higher edu-cation literature, to understand promotion dynamics; these were gender, age, field ofscience (science, engineering and biomedical versus social science and humanities), anindicator of the quality of respondents (in our case, being the principal researcher on inter-national research projects and the supervisor of over 10 doctoral dissertations) and, lastly,an indicator of the orientation of the respondent’s activity, mainly research.

Considering the nature of the dependent variable and the distribution of our data, weemployed a binary logistic regression. It is important to note that the correlation among allthe independent variables used in the model was generally low, the relation between ageand eligibility for promotion showing the highest value (-.478) (see the correlation table inthe Appendix).

5. Results and discussion

The first finding emerging from the survey is that the proportion of respondents whoprefer the current accreditation system is 49% (see the distribution of the variable inTable 1); therefore, the answer to our first descriptive research question is that thesystem is far from enjoying ample support among Spanish academics and one out oftwo would prefer a different system. Examining certain differences, we found thatfemales are more supportive of the current accreditation than males (53% versus 46%),that younger faculty members are more in favour than older academics, as well as thosewho are not full professors (51% versus 35%); academics from social sciences and huma-nities also prefer the current accreditation system more than academics from other fields(Sanz-Menéndez et al. 2016).

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As regards the more explanatory question, in Table 2 we present the results of themodel used introducing, step by step, the four theoretically relevant sets of factors (andthe control variables). The binary logistic regression model in Table 2 presents the predic-tive value (or odds ratio) that an independent variable has for the dichotomous dependentvariable. It is possible to interpret the coefficient as the change in the probability of thedependent variable per unit of change in the predictor variable.

5.1. Results

The majority of the variables included in the models are statistically significant. Con-sidered overall, the factors included under self-interest and those related to beliefs andvalues have the strongest effects on the probability of preferring accreditation to adifferent system. Most of the variables related to socialization and institutional factorsincluded are not statistically significant; their contribution is weak or they do not increasethe explanatory power of previous factors.

The results reveal that academics’ preferences are shaped by self-interest. The odds ratioof preferring the accreditation system for those already holding an accreditation for anupper rank is 41% higher as compared with those not in possession of an accreditation.Those eligible for promotion are 1.22 times more likely than full professors to preferthe accreditation system.

Table 2. Models predicting the probability of preferring the current accreditation system.Factors and variables (reference category) Model 1 Model 2 Model 3 Model 4 Final Model

1. Self-interestAccredited to upper rank (yes) .522*** .544*** .537*** .565*** .593***Eligible for promotion (yes) .619*** .625*** .589*** .557*** .779*

2. Beliefs and valuesBelief that accreditation is the mostadequate system for merit-based selection(yes)

.167*** .183*** .183*** .173***

Appraisal index of the situation ofpromotion in the university system

1.211*** 1.192*** 1.199*** 1.194***

3.Personal experience and learningPromoted to current post underaccreditation system (yes)

.695*** .710*** .817*

Experience in accreditation processes (yes) .619*** .624*** .603***Experience in university top management(yes)

1.694* 1.679* 1.520*

Degree of professional satisfaction 1.108* 1.126** 1.139**4. Institutional and socialization factorsStrongly inbred (yes) .881 .906International experience (yes) .729*** .816**Universalism Index 1.088 1.074

Control VariablesGender (female) .907Age .972***Field of science (science, engineering andbiomedical)

1.153*

Top quality researcher (yes) 1.304*Research as preferred activity (yes) 1.208*Constant 1.659 2.332 1.899 1.477 3.728Pseudo R-square (R2 Nagelkerke) .045 .287 .308 .313 .327Observations (n) 4460 4460 4460 4460 4460

Note: Coefficients shown [exp(B)] can be interpreted as changes in probability; ***p < .001 **p < .01 *p < .05.

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These results also provide evidence in support of the relevance of beliefs and values inexplaining the preferences of academics regarding the access and promotion systems. Infact, these variables are the strongest contributors to the overall variance explained. Thebelief of academics concerning whether the accreditation system guarantees merit-basedselection is strongly associated with their preferences; likewise, the overall assessment ofpromotion dynamics in Spanish universities also has a significant effect. Academicswho believe that accreditation guarantees merit-based selection are 1.83 times morelikely to prefer accreditation than those who do not. In the same vein, an increase ofone point in our appraisal index of academic promotion in Spain (which awards highervalues to positive opinions) increases the probability of preferring accreditation by 19%.

As regards personal experience and learning, having accessed the current positionthrough the accreditation system increases the probability of preferring it by 18%. Simi-larly, those who have participated in accreditation processes are 40% more likely toprefer accreditation. Net of other variables, experience in top university management radi-cally reduces (by 52%) the probability of preferring the accreditation system for hiring andpromotion. Increased levels of professional satisfaction are conducive to greater supportfor the current accreditation system.

The fourth dimension, related to socialization or institutional factors, has very weakexplanatory power. A classic factor in the literature, inbred status, is not statistically sig-nificant. Neither is the universalism index. Possessing at least three consecutive months ofacademic experience abroad increases the probability of preferring accreditation by 18%.

As for control variables, age is an important factor, because one additional year of agereduces the probability of preferring accreditation by 3%; in general, younger generationsare much more strongly in favour of the accreditation system than their older counter-parts. There are no large differences in terms of fields of science, although academicsfrom social sciences and the humanities tend to prefer accreditation. We also aimed tocontrol for two relevant factors present in many analyses of productivity and careers,namely quality and research orientation. Our control variable measuring the quality ofthe research of respondents reveals that top academics are 30% less likely to prefer accred-itation than other academics. Similarly, those stating that research is their only pro-fessional interest are 21% less likely to prefer accreditation as a hiring and promotionsystem. Gender is not significant.

5.2. Discussion

Our results show that interests have an important role in explaining preferences, butbeliefs and values are a better predictor. The findings suggest that academics’ preferencesare not primarily determined by their career advancement interests. These interests have asignificant effect, but they are not the strongest predictor as compared with other factors.

The results support the view that preferences are strongly associated with a set of beliefsand values. One of the main predictors of the preference for the current accreditationsystem is the belief that it guarantees merit-based selection. According to our findings, aca-demics are supportive of the current accreditation system (because of personal interests)unless there are other factors, such as concerns about the effects of the system in terms ofthe quality of the academic profession, causing them to prefer a change.

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Additionally, personal experience in university management provide different points ofview and shape preferences regarding accreditation; those having top university manage-ment experience are less likely to be supportive of the current accreditation model. Thispreference for the current system is negatively associated with academic rank and age.

What is most striking is the weak role of the variables measuring socialization and insti-tutional factors. More mobile academics prefer a system in which departmental discretionregarding hiring and promotion is tempered by the ex ante evaluation the accreditationrepresents. In an attempt to understand this result we confirmed that international experi-ence is largely dependent on age; younger academic staff have significantly more inter-national experience than their older counterparts. From another point of view, thosewho are more mobile may, upon return, view accreditation as a method of protectionfrom inbreeding, but we should also acknowledge that the variable only requires threemonths’ mobility. These results suggest that the quality of measurement of the socializa-tion variables should be improved. It may be the case that the indicators selected areinsufficient, and should be improved in further analyses. At the same time, their minorrole provides some insight into the fact that the socialization process is not strongly orga-nized or institutionalized in Spanish universities.

6. Conclusions

In national systems, universities display diversity in the extent to which departments orthe external community (including state agencies) are empowered to assess, hire andpromote academics. Despite the different types of university, the selection and qualityassessment of academics has traditionally been and remains a domain in which there isa high level of delegation. Traditionally, as in the majority of university systems, govern-ance at Spanish public universities has been based on academic self-rule exerted in a col-legiate way of decision making, including decisions about hiring and promotion.

Nevertheless, our results show that, at present, the academic community is divided asregards its preference for such a system. Determining which factors account for suchdifferences has been the subject of our analysis.

As regards policy implications, accreditation was a compromise between the need toreturn control over the hiring process and selection outcomes to the departments andthe commitment of the government, with the support of a substantial part of academicelites, to minimize the negative consequences, in terms of the quality of the academicsselected, of high levels of local university autonomy in hiring and promotion.

One of the conclusions of our analysis of preferences is that the community is divided.Part of the academic community believes that accreditation agencies were not verydemanding in terms of quality, and are doing a poor job. Additionally, those holdingan accreditation to an upper academic rank are becoming a strong interest group, onewhich supports current policy.

Moreover, the operation of this system in times of economic crisis has led to a situationwhere there are many more candidates holding an accreditation than positions expected tobe open in the future, because budget policies have frozen new positions and even replace-ments due to retirement (Cruz-Castro and Sanz-Menéndez 2015, 2016). Over the years,the accreditation system has created a pool of thousands of accredited academics whoexpect that ‘automatic’ access to tenure or promotion will occur at some point.

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Another policy conclusion is that systems, while in place, create their own supportbases, those who prefer a system different to the current accreditation scheme mighthave: a) a demand for total autonomy and delegation for selection and promotion in uni-versities; or b) concerns about the quality of the colleagues selected and promoted by asystem which did not appear very demanding. From this dual perspective, what mattersis not so much the rejection of government intervention in the ex ante evaluation of aca-demic staff but rather the belief that such intervention is not effective.

The public perception of the low demands in terms of accreditation requirements hasrecently (November 2017) brought about a new change in the evaluation criteria that hasbeen contested by some sectors of the academic community.4

To the best of our knowledge, this is the first time that the preferences of the Spanishacademic community regarding hiring and promotion system have been empirically ana-lyzed in a multivariate way. Our paper makes an initial contribution to providing a sys-tematic examination of the preferences of higher education constituencies.Consequently, it is an initial effort to introduce preferences and their determinants intothe study of higher education policy changes. Although the Spanish system is almostunique in the European higher education landscape, we believe that the preference frame-work could be used to analyse faculty views on hiring and promotion systems in othercountries. For instance, Italy established in 2010 a national habilitation system, which issimilar to that existing in Spain between 2001 and 2007.

Finally, we should acknowledge some of the caveats and limitations of the present study.The focus being on individuals, we have held organizational factors constant. AlthoughSpanish universities share the same national framework, they are under the political auth-ority of their regional governments. These have diverse higher education and science policies,affecting the profiles and strategies of universities within their regions. We have approachedour research topic from a national level and have not considered, at this time, regional orinstitutional levels, preferring to leave them for future research. Additionally, we mustacknowledge the limitations associated with the use of the survey data and the employmentof only one principal indicator to construct the dependent variable; future research couldaddress these limitations by using multiple indicators to increase reliability and validity inthe measurement of key variables. Additionally, linking the individual attributes of respon-dents to bibliometric performance indicators would provide us with a better understandingof the relationship of the research quality of individuals and their preferences. Likewise, adeeper analysis of the preferences of academics regarding other promotion systemsdifferent to accreditation deserves further attention.

Notes

1. The CV format is standardized, very formalized (with sections for qualifications, teaching,publications, projects, management, transfer, and mobility) and demanding in terms of prep-aration, with each item needing documentary backup. The process does not involve anyinterviews; the committees (by scientific field) are appointed by the agency from among eli-gible faculty; the only criterion to be part of the evaluation committee is to already be anassociate or full professor with a number of formally recognized six-year research periods(see Sanz-Menéndez 1995, Cruz-Castro and Sanz-Menéndez 2008, Osuna, Cruz-Castro,and Sanz-Menéndez 2011, Marini 2018). There were different merits recognized in varioussections: research, teaching, training, and management. The evaluation was based on a 100

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scale points system where the candidate, according to the accreditation rank applied for, wasrequired to obtain a minimum score to obtain accreditation (for example, this was 65 for thepost of associate professor or 80 for full professorship). Items in CVs were given certainpoints, and thus it was basically a quantitative system (for more details see for example:Buela-Casal 2007; Sierra et al. 2009). Any EU citizen holding a PhD can apply using thesame procedure, although the administrative burden for non-nationals unfamiliar with theadministrative procedure is high. Alternatively, if those applying have similar positions inEU universities, they may undergo a specific procedure called certification of equivalence,a simplified version of the accreditation. However, this is a minority procedure, with nomore than a few dozen applications per year, mostly for Spaniards working in EU universitiesand planning to return. It must be stated that following our survey a new more demandinggeneral regulation for accreditation was established in 2015 (Royal Decree 415/2015), but itsimplementation was delayed until November 2017; for a complete description of the new cri-teria see http://www.aneca.es/Programas-de-evaluacion/ACADEMIA.

2. Although it could be thought that this belief variable may be strongly related to the pre-ference for the current accreditation system (i.e. the dependent variable), their bilateralcorrelation is low, reflecting a positive correlation but not a strong covariance (see thecorrelation matrix in the Appendix). Furthermore, the original questions in the question-naire are rather different: in the case of the dependent variable we asked academics toexpress a preference through the choice of one system, while the belief question referredto the adequacy of the current system to guarantee a merit-based selection; in otherwords, it had only one possible dimension.

3. While performing the preliminary test we confirmed the associations of the different adjec-tives; using the survey results we measured their correlation and covariance, confirming theirassociation in two groups. Additionally, we clustered the cases in two groups that included40.8% and 59.2% respectively for predominantly positive and predominantly negativeappraisal. The most frequently selected adjectives, in over 40% of the cases, were two positive(meritocratic and competitive) and two negative (parochial and inbred).

4. See https://www.infolibre.es/noticias/politica/2017/11/18/profesores_universidad_indignados_con_repentino_endurecimiento_los_criterios_para_ascender_72097_1012.html.

Acknowledgements

We thank the participants in presentations of this work in the OECD Blue Sky III. Informing scienceand innovation policies towards the next generation of data and indicators, held in Ghant (Belgium),19-21 September 2016; the 3rd ISA Forum of Sociology, International Sociological Association, heldin Vienna (Austria), 10-14 July 2016; and the 10th Workshop The Organisation, Economics andPolicy of Scientific Research, held in Torino (Italy) in May 9-10, 2016. We owe special thanks toJohn P. Walsh for his comments and criticisms. We also thank the reviewers from the EuropeanJournal of Higher Education for their comments and suggestions during the review process. Wegratefully acknowledge the assistance from Manuel Pereira and Alberto Benitez during the devel-opment of the project and to Sara Varela for her dedication to the survey implementation.

Disclosure statement

No potential conflict of interest was reported by the authors.

Funding

This work was supported by the Spanish Ministry of Science and Innovation (Ministerio de Cienciae Innovación) under Grant [CSO-2011-029431]; and the Spanish Ministry of Economy and Com-petitiveness (Ministerio de Economía y Competitividad), under Grant [CSO-2016-79046-C2-1-R].

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ORCID

Luis Sanz-Menéndez http://orcid.org/0000-0002-6869-8105Laura Cruz-Castro http://orcid.org/0000-0002-9786-6251

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Appendix

Appendix A1 . Correlation matrix.

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17Preference for accreditation 1 1 .163** .124** .432** .220** .191** .135** −.078** .092** .049** .073** −.015 .061** −.172** −.033* −.061** −.057**Accredited to upper rank 2 .163** 1 .253** .117** −.029 .049** −.081** −.078** −.106** .017 .131** .012 .022 −.208** −.031* −.036* −.076**Eligible for promotion 3 .124** .253** 1 .053** .057** .059** −.189** −.258** −.116** .014 −.091** −.011 .158** −.478** −.015 −.244** .123**Belief that accreditation is themost adequate system formerit-based selection

4 .432** .117** .053** 1 .190** .184** .151** −.019 .091** .019 .050** −.043** .008 −.014 −.001 −.020 −.042**

Appraisal index of the situationof promotion in theuniversity system

5 .220** −.029 .057** .190** 1 .090** .045** −.019 .241** .113** −.088** −.117** .126** −.041** −.010 −.076** .082**

Promoted to current postunder accreditation system

6 .191** .049** .059** .184** .090** 1 .390** −.085** .075** .028 .071** −.028 .062** −.285** −.012 .003 −.013

Experience in the accreditationprocess

7 .135** −.081** −.189** .151** .045** .390** 1 .007 .079** .010 .077** −.026 −.001 .032* .017 .057** −.081**

Experience in university topmanagement

8 −.078** −.078** −.258** −.019 −.019 −.085** .007 1 .053** −.021 .038* −.066** −.048** .201** .024 .079** −.004

Degree of professionalsatisfaction

9 .092** −.106** −.116** .091** .241** .075** .079** .053** 1 .032* −.049** −.173** −.023 .075** −.003 .039** .023

Strongly inbred 10 .049** .017 .014 .019 .113** .028 .010 −.021 .032* 1 −.066** −.071** .043** −.048** −.048** −.039** .048**International experience 11 .073** .131** −.091** .050** −.088** .071** .077** .038* −.049** −.066** 1 .016 −.001 −.151** .050** .106** −.197**Universalism index 12 −.015 .012 −.011 −.043** −.117** −.028 −.026 −.066** −.173** −.071** .016 1 −.008 −.004 .001 −.025 −.070**Sex 13 .061** .022 .158** .008 .126** .062** −.001 −.048** −.023 .043** −.001 −.008 1 −.131** .062** −.077** .038*Age 14 −.172** −.208** −.478** −.014 −.041** −.285** .032* .201** .075** −.048** −.151** −.004 −.131** 1 .026 .105** .088**Field of science 15 −.033* −.031* −.015 −.001 −.010 −.012 .017 .024 −.003 −.048** .050** .001 .062** .026 1 −.031* .010Top quality researcher 16 −.061** −.036* −.244** −.020 −.076** .003 .057** .079** .039** −.039** .106** −.025 −.077** .105** −.031* 1 −.078**Research as preferred activity 17 −.057** −.076** .123** −.042** .082** −.013 −.081** −.004 .023 .048** −.197** −.070** .038* .088** .010 −.078** 1

**Correlation significative at 0.01 (bilateral).*Correlation significative at 0.05 (bilateral).

EURO

PEANJO

URN

ALOFHIGHER

EDUCATIO

N19