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Do They Agree? Bibliometric Evaluation versus Informed Peer Review in the Italian Research Assessment Exercise

Open access
Baccini, Alberto, De Nicolao, Giuseppe·2016·Scientometrics

AI snapshot

Written from the paper’s full text.

TL;DR

This paper re-examines ANVUR’s Italian VQR experiment comparing informed peer review (IR) and bibliometric evaluation, arguing that ANVUR’s claim of “good” or “more than adequate” agreement is not supported by standard kappa guidelines. It concludes that IR and bibliometrics generally do not produce similar results, and that the apparent exception in Area 13 (economics and statistics) is fatally flawed by protocol changes.

Key findings

  • In the experiment, 9,199 articles were evaluated by both IR and bibliometrics, representing 9.3% of the 99,005 submitted articles. Overall weighted kappa was 0.32 with linear weights and 0.38 with VQR weights.
  • For Areas 1–9, kappas were mostly in the range 0.1–0.35 (linear weights) or 0.15–0.35 (VQR weights), with Area 13 at 0.54. Sub-area kappas ranged from 0.095 for nuclear physics to 0.56 for economics; only four of 43 sub-areas had kappa values greater than 0.40.
  • Under available guidelines, the paper interprets nearly all area and sub-area agreements as “unacceptable,” “poor,” or at most “fair,” except Area 13 and some of its sub-areas, which showed moderate agreement.
  • A meta-analysis found Area 13 significantly different from the other areas (p = 0.0036 linear; p = 0.0086 VQR), and 3 of its 4 sub-areas fell outside the 95% prediction funnel. The paper estimates at least 326 of 590 Area 13 articles (55.3%) were evaluated directly by GEV consensus groups rather than by referees.

Methods

  • Re-analysis of ANVUR’s VQR 2004–2010 experiment using data published in the Final Report and Area reports, because raw data were not made available.
  • Weighted Cohen’s kappa was used with two weighting schemes: linear weights and ANVUR’s VQR weights, applied to four ordered merit classes.
  • Statistical meta-analysis with funnel plots compared Area 13 and its sub-areas against the other areas/sub-areas, using kappa values and sample sizes.

Limitations

  • The paper states that raw data were not made available by ANVUR, so the authors could not control the experiment in detail or reproduce the published results; the analysis relies only on published reports.
  • The estimate that at least 55.3% of Area 13 IR evaluations were decided by consensus groups depends on stated hypotheses and is described as a lower-bound estimate.
  • The paper notes that results for the economic history sub-area should be treated with particular caution, and the text makes evident that protocol differences in Area 13 are inferred from published reports rather than directly observed raw data.

Model-written summary. Check it against the paper before relying on it.

Integrity signals

Registry

Crossref · 10.1007/s11192-016-1929-y

Cites

41 of 41 references verified0 citation errors · 0 not checkable

Statistics

Nothing to recompute.

Claims the paper makes

0 of 43 cited sources checked · 0 supported · 0 flagged

  • Findingcitation
    § ABSTRACT · p. 1

    The degree of agreement between informed peer review and bibliometrics in the experiment, always in the range 0.09-0.42, has to be interpreted, for all research fields, as unacceptable, poor or, in a few cases, at most fair.

    “This paper re-examines the experiment results according to the available statistical guidelines for interpreting kappa values, by showing that the degree of agreement (always in the range 0.09-0.42) has to be interpreted, for all research fields, as unacceptable, poor or, in a few cases, as, at most, fair.”
    Quote in the paperSubstantial claim0 of 1 sources checked
    • cites Sheskin 2003 source

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  • Findingreasoning
    § 5. A self-fulfilling experiment · p. 14

    Under weak assumptions, at least 326 articles out of 590 (55.3%) considered for the experiment were evaluated not by referees but by the consensus groups, i.e., directly by GEV members.

    “Under weak assumptions, it is possible to demonstrate that at least 326 articles out of 590 (55,3%) considered for the experiment were evaluated not by referees, but by the consensus groups, that is directly by the members of the GEV.”
    Quote in the paperSubstantial claim
  • Findingown data
    § 4. A meta-analysis of the experiment · p. 11

    The kappa of the Economic history sub-area lies within the prediction limits for both linear- and VQR-weighted cases.

    “Conversely, the kappa of the Economic history sub-area lies within the limits for both the linear- and VQR-weighted cases.”
    Quote in the paperSubstantial claim
  • Findingnone given
    § 5. A self-fulfilling experiment · p. 13

    A careful scrutiny of ANVUR's Final Report and area reports highlights at least five profiles by which the Area 13 experiment differs from the experiments in other areas.

    “A careful scrutiny of ANVUR's Final Report and area reports permit to highlight at least five profiles by which Area 13 experiment is different from the ones performed in the other areas.”
    Quote in the paperSubstantial claim
  • Findingnone given
    § 5. A self-fulfilling experiment · p. 14

    In Area 13, the protocol was different: when the two referee reports were communicated to the two GEV members in charge, they formed a consensus group which directly decided the final evaluation, considering the referee reports as simple information.

    “In Area 13 the protocol was completely different. When the two referee's reports were comunicated to the two GEV members in charge of the considered article, they formed a 'consensus group' which directly decided the final evaluation of the article, by considering the referee's reports as simple information for their final evaluation.”
    Quote in the paperSubstantial claim
  • May combine two claims. 32
  • The quote only partly states this claim. 1
  • Classified as probably not a substantial claim. 30
  • May combine two claims.

    Findingown data
    § ABSTRACT · p. 1

    The only notable exception to the poor agreement was a moderate agreement for economics and statistics (Area 13) and its sub-fields, confirmed by a statistical meta-analysis.

    “The only notable exception, confirmed also by a statistical meta-analysis, was a moderate agreement for economics and statistics (Area 13) and its sub-fields.”
    • Also stated in: § 1. Introduction · p. 2 · plain
      “Section 4 contains a statistical metaanalysis of the experiment, by showing that only in a research field (Economics and statistics) there was evidence of a good agreement between results reached through peer review and bibliometric indicators.”
    Quote in the paperSubstantial claim
  • May combine two claims. The quote only partly states this claim.

    Findingown data
    § 4. A meta-analysis of the experiment · p. 11

    For both linear- and VQR-weighted kappa, the point for Area 13 lies outside the 95% funnel, so H0 is rejected at 5% significance.

    “For both the linear- and VQR-weighted kappa, it is found that the point ( m10 , ) lies outside the funnel, meaning that H0 is rejected with significance level 5% , see top panels of Fig. 1 for the funnel plots and Table 2 for the p -values.”
    Quote in the paperSubstantial claim
    • Rests on an assumption: Cohen's kappa is asymptotically normal and its sample variance is inversely proportional to the number of assessed papers in an area.
    • The authors state this as an assumption: The kappas for the nine areas other than Area 13 are observed.
  • May combine two claims.

    Findingreasoning
    § 5. A self-fulfilling experiment · p. 14

    GEV members directly evaluated at least 54.3% of articles classified A, 58% of B, 83.7% of C, and 31.6% of D.

    “In particular it is possible to estimate that GEV members evaluated directly at least 54.3% of articles classified as A (excellent); 58% of articles classified as B (good); 83.7% of the articles classified as C (acceptable), and 31.6% of the articles classified as D(limited).”
    Quote in the paperSubstantial claim
  • May combine two claims.

    Findingown data
    § 3. Comparing IR and bibliometrics · p. 8

    Kappas calculated for the whole sample of articles are 0.32 with linear weights and 0.38 with VQR-weights.

    “Kappas calculated for the whole sample of articles are respectively 0.32 with linear weights and 0.38 with VQR-weights.”
    Quote in the paperSubstantial claim
  • May combine two claims.

    Findingcitation
    § 5. A self-fulfilling experiment · p. 13

    In Area 13, referees could be aware of their engagement in the experiment, while in all other areas referees did not know they were engaged in the experiment.

    “In Area 13, referees were in a position to be aware of their engagement in the experiment, while in all the other areas referees ignored to be engaged in the experiment.”
    Quote in the paperSubstantial claim
  • May combine two claims.

    Findingown data
    § 4. A meta-analysis of the experiment · p. 11

    For both linear- and VQR-weighted kappa, 3 out of 4 sub-area kappas of Area 13 lie outside the 95% funnel, so H0 is rejected at 5% in these three cases.

    “For both the linear- and VQR-weighted kappa, 3 out of 4 sub-area kappas of Area 13 lie outside the funnel, meaning that in these three cases H0 is rejected with significance level 5%, see bottom panels of Figure 2 and also Table 3 for the p -values.”
    Quote in the paperSubstantial claim
    • Rests on an assumption: Cohen's kappa is asymptotically normal and its sample variance is inversely proportional to the number of assessed papers in an area.
    • The authors state this as an assumption: The kappas for the nine areas other than Area 13 are observed.
  • May combine two claims.

    Findingown data
    § 3. Comparing IR and bibliometrics · p. 8

    With sub-areas and VQR-weights, the minimum kappa is for electronic engineering (0.09) and the maximum for economics (0.56); again only four sub-areas have kappa values greater than 0.40.

    “If sub-areas and VQR-weights are considered, the minimum kappa is calculated for electronic engineering (0.09) and the maximum one for economics (0.56); again only four sub-areas have kappa values greater than 0.40.”
    Quote in the paperSubstantial claim
  • May combine two claims.

    Findingnone given
    § 3. Comparing IR and bibliometrics · p. 7

    Many articles were dropped by the experiment because the bibliometric evaluation resulted in an inconclusive informed peer review value; this induced a distortion in the sample that was not considered in the analysis by ANVUR.

    “It is worthwhile to note that many articles were dropped by the experiment because the bibliometric evaluation resulted in an inconclusive IR value. This induced a distortion in the sample that was not considered in the analysis by ANVUR.”
    Quote in the paperSubstantial claim
  • May combine two claims.

    Findingown data
    § 3. Comparing IR and bibliometrics · p. 8

    With sub-areas and linear weights, the minimum kappa is for nuclear physics (0.095) and the maximum for economics (0.56); only four sub-areas out of 43 have kappa values greater than 0.40.

    “When sub-areas and linear weights are considered the minimum kappa is calculated for the nuclear physics (0.095) and the maximum one for economics (0.56); only four sub-areas out of 43 have kappa values greater than 0.40.”
    Quote in the paperSubstantial claim
  • Classified as probably not a substantial claim.

    Findingnone given
    § Appendix · p. 18

    In Area 13, 590 journal articles were selected for the experiment.

    “In Area 13, 590 journal articles were selected for the experiment.”
    Quote in the paperSubstantial claim
  • May combine two claims.

    Findingown data
    § Appendix · p. 19

    For articles evaluated as B, peers were in agreement for 73 articles; but bibliometric and peer review coincided for just 56 articles.

    “Indeed, for articles evaluated as B, peers were in agreement for 73 articles; but bibliometric and peer review coincided for just 56 articles.”
    Quote in the paperSubstantial claim
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    Findingown data
    § Appendix · p. 18

    54.3% of articles classified as A through informed peer review were evaluated directly by the GEV Consensus Groups; this percentage increases to 58% for articles classified as B; at least 83.7% of articles classified as C were decided by Consensus Groups; and the percentage decreases to 31.6% for products evaluated as D.

    “We can see that 54.3% of articles classified as A through IR were evaluated directly by the GEV Consensus Groups; this percentage increases to 58% for articles classified as B; and at least 83.7% of articles classified as C were decided by Consensus Groups. The percentage decreases to 31.6% for products evaluated as D.”
    Quote in the paperSubstantial claim
    • The authors state this as an assumption: None of the articles was evaluated at first sight as D (limited) by both GEV members, so that an article was not submitted to the informed peer review process, allowing the 590 articles to be treated as evaluated by two referees.
    • The authors state this as an assumption: The Consensus Group formed by the two GEV members has never modified a concordant judgement, i.e. a judgment for which both referees were in agreement.
  • May combine two claims.

    Interpretationreasoning
    § ABSTRACT · p. 1

    The experiment protocol adopted in Area 13 was substantially modified with respect to all other research fields, to the point that results for economics and statistics have to be considered as fatally flawed.

    “We show that the experiment protocol adopted in Area 13 was substantially modified with respect to all the other research fields, to the point that results for economics and statistics have to be considered as fatally flawed.”
    • Also stated in: § 1. Introduction · p. 2 · plain
      “Section 5 shows that the good agreement in this research field can be explained by an experimental protocol which differs substantially from the one adopted in all the other research areas.”
    Quote in the paperSubstantial claim
  • Classified as probably not a substantial claim.

    Premisecitation
    § ABSTRACT · p. 1

    During the Italian research assessment exercise, the national agency ANVUR performed an experiment to assess agreement between grades attributed to journal articles by informed peer review and by bibliometrics.

    “During the Italian research assessment exercise, the national agency ANVUR performed an experiment to assess agreement between grades attributed to journal articles by informed peer review (IR) and by bibliometrics.”
    Quote in the paperSubstantial claim0 of 1 sources checked
    • cites ANVUR 2013

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  • May combine two claims.

    Interpretationreasoning
    § ABSTRACT · p. 1

    The evidence of a poor agreement supports the conclusion that informed peer review and bibliometrics do not produce similar results.

    “The evidence of a poor agreement supports the conclusion that IR and bibliometrics do not produce similar results”
    Quote in the paperSubstantial claim
  • Classified as probably not a substantial claim. May combine two claims.

    Premiseown data
    § ABSTRACT · p. 1

    A sample of articles was evaluated by both informed peer review and bibliometrics, and agreement was analyzed by weighted Cohen's kappas.

    “A sample of articles was evaluated by using both methods and agreement was analyzed by weighted Cohen's kappas.”
    Quote in the paperSubstantial claim
  • May combine two claims.

    Interpretationreasoning
    § ABSTRACT · p. 1

    The conclusion reached by ANVUR must be reversed: the available evidence does not justify at all the joint use of informed peer review and bibliometrics within the same research assessment exercise.

    “The conclusion reached by ANVUR must be reversed: the available evidence does not justify at all the joint use of IR and bibliometrics within the same research assessment exercise.”
    Quote in the paperNot a substantial claim
  • Classified as probably not a substantial claim.

    Premisecitation
    § 2. The Italian research assessment exercise · p. 4

    Each article was classified by considering two bibliometric indicators: the total number of citations received in the time window starting from its publication and 31th December 2011, and the impact factor of the journal in which it was published.

    “Each article was classified by considering two bibliometric indicators: (i) the total number of citations received in the time window starting from its publication and 31th December 2011, and (ii) the impact factor of the journal in which it was published (ad-hoc bibliometric indicators were also devised by some of the GEVs).”
    Quote in the paperSubstantial claim0 of 1 sources checked
    • cites ANVUR 2013

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    Premisecitation
    § 3. Comparing IR and bibliometrics · p. 8

    Related papers described the same data as indicating significant concordance, remarkable agreement, similar evaluations, or fair to good agreement.

    “Results of the experiment are also presented and commented as 'giving evidence of a significant degree of concordance among peer review and bibliometric evaluations' (Ancaiani et al. 2015).”
    • Also stated in: § 3. Comparing IR and bibliometrics · p. 8 · boosted
      “This phrase is slightly reworded in the working paper versions: 'there is remarkable agreement between bibliometric and peer review evaluation' (Bertocchi et al. 2013d, 2013e, 2013a, 2013b, 2013c).”
    • Also stated in: § 3. Comparing IR and bibliometrics · p. 8 · plain
      “And the same data are also interpreted in a policy oriented paper as revealing that 'informed peer review and bibliometric analysis produce similar evaluations' (Bertocchi et al. 2014).”
    Quote in the paperSubstantial claim0 of 3 sources checked
    • cites Ancaiani et al. 2015 source

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    • cites Bertocchi et al. 2014

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    Premisecitation
    § 2. The Italian research assessment exercise · p. 4

    In the bibliometric areas (Areas 1 to 9), a mix of peer review and bibliometrics was adopted.

    “In the bibliometric areas (1 to 9), a mix of peer review and bibliometrics was adopted.”
    Quote in the paperSubstantial claim0 of 1 sources checked
    • cites ANVUR 2013

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    Premisecitation
    § 2004-2008 · p. 5

    When impact factor and citations gave divergent information, the article was submitted to informed peer review.

    “When impact factor and citations gave divergent information -high citations and low impact factor or viceversa -the corresponding entry in the classification matrix was denoted by 'IR' indicating that the article had to be submitted to a process called 'informed peer review' (IR).”
    Quote in the paperSubstantial claim0 of 1 sources checked
    • cites ANVUR 2013

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    Premisenone given
    § 5. A self-fulfilling experiment · p. 14

    In the generic description of the experiment, the scores separately assigned by the two referees were summarized according to an algorithm, in many cases a simple average of the two scores.

    “As we have seen, the generic description of the experiment indicates that the scores separately assigned by the two referees were summarized according to an algorithm, in many cases a simple average of the two scores.”
    Quote in the paperSubstantial claim
  • May combine two claims.

    Interpretationreasoning
    § 2004-2008 · p. 6

    The first major problem was that the joint distribution of article citations and journal impact factors varies among research fields; as a consequence the VQR distribution rule was not respected for all fields, and in some fields to be classified as excellent or good was simpler than in other fields.

    “The first major problem was originated in bibliometric areas: the joint distribution of article citations and journal impact factors varies among research fields. As a consequence the VQR distribution rule was not respected for all fields, and because of this in some fields to be classified as excellent or good was simpler that in other fields.”
    Quote in the paperSubstantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Premisecitation
    § 3. Comparing IR and bibliometrics · p. 9

    For Area 13 and VQR-weights, a value of 0.6104 is reported in the Appendix B of the ANVUR Final Report and in Cicero et al. 2013 and Ancaiani et al. 2015.

    “For Area 13 and VQR-weights, a value of 0.6104 is reported in the Appendix B of the ANVUR Final Report and also in (Cicero et al. 2013) and (Ancaiani et al. 2015).”
    Quote in the paperNot a substantial claim0 of 3 sources checked
    • cites ANVUR 2013

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    • cites Cicero et al. 2013

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    • cites Ancaiani et al. 2015 source

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  • May combine two claims.

    Study design and conductnone given
    § 1. Introduction · p. 2

    Raw data were not made available by ANVUR, so it was impossible for the authors to control in detail the experiment and reproduce the published results.

    “Since raw data were not made available by ANVUR, 1 it was impossible for us to control in details the experiment and to reproduce the results published and by ANVUR and by its collaborators in different outlets.”
    Quote in the paperSubstantial claim
  • Classified as probably not a substantial claim. May combine two claims.

    Premisecitation
    § 3. Comparing IR and bibliometrics · p. 8

    ANVUR's Final Report and Area Reports described the observed agreement as good or more than adequate.

    “ANVUR's Final Report described generally these data as indicating 'a good degree of agreement for the whole sample and for each GEV' [italics added]”
    • Also stated in: § 3. Comparing IR and bibliometrics · p. 8 · plain
      “in the conclusion of the report, results are summarized by writing that there is 'a more than adequate [in Italian 'più che adeguata'] agreement between evaluations done by adopting the peer review method and the bibliometric one' (Cicero et al. 2013; ANVUR 2013).”
    • Also stated in: § 3. Comparing IR and bibliometrics · p. 8 · plain
      “This phrase is repeated verbatim in the conclusions of all the Area Reports , irrespective of the range of values commented.”
    Quote in the paperSubstantial claim0 of 2 sources checked
    • cites Cicero et al. 2013

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    • cites ANVUR 2013

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    Interpretationreasoning
    § 2004-2008 · p. 6

    There was lack of comparability not only between Areas but also between research fields inside the same research Area.

    “Although an explicit warning was not issued at the time of publication of results, there was lack of comparability not only between Areas but also between research fields inside the same research Area.”
    Quote in the paperSubstantial claim
  • Classified as probably not a substantial claim. May combine two claims.

    Premisecitation
    § 3. Comparing IR and bibliometrics · p. 9

    The value 0.54 used in this paper is drawn directly from the Area 13 report and reproduced in Bertocchi et al. 2015.

    “The value of 0.54 that we used in this paper is drawn directly from the Area 13 report and reproduced also in (Bertocchi et al. 2015).”
    Quote in the paperSubstantial claim0 of 2 sources checked
    • cites ANVUR 2013

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    • cites Bertocchi et al. 2015 source

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    Interpretationreasoning
    § 5. A self-fulfilling experiment · p. 13

    In areas 1-9, bibliometric classification of articles was not easily available because it required complete knowledge of the suitable matrix; a referee could foresee the bibliometric classification only with difficulty and high margin of error.

    “As we have seen, in the areas 1-9 bibliometric classification of articles was not easily available because it requested the complete knowledge of the suitable matrix; a referee could have foreseen the bibliometric classification of an article only with difficulty and with a quite high margin of error.”
    Quote in the paperSubstantial claim
  • Classified as probably not a substantial claim.

    Interpretationreasoning
    § 5. A self-fulfilling experiment · p. 15

    The higher level of agreement between bibliometrics and informed peer review in Area 13 may be the result of the modifications introduced by the Area 13 panel to the experiment protocol adopted in the other areas.

    “And that the higher livel of agreement between bibliometrics and IR in Area 13 may be the result of the modifications introduced by the Area 13 panel to the experiment protocol adopted in the other Areas.”
    Quote in the paperSubstantial claim
    • Rests on an assumption: Area 13 panelists who decided the journal ranking used for bibliometric evaluation were the same panelists who decided the final score of the informed peer review process.
  • May combine two claims.

    Interpretationreasoning
    § 5. A self-fulfilling experiment · p. 13

    In Area 13, referees knew both that they were participating in the experiment and the bibliometric evaluation with which their judgement was to be compared; these two pieces of information were not available to referees in other areas.

    “So in Area 13, not only referees knew that they were partecipating to the experiment, but they also knew the bibliometric evaluation with which their judgement was to be compared. These two pieces of information were not available to the referees ot the other areas.”
    Quote in the paperSubstantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.

    Premisecitation
    § 3. Comparing IR and bibliometrics · p. 9

    In the conclusion of the Area 9 report, the phrase about more than adequate agreement is followed by a contradictory statement that the degree of concordance is moderate in nearly all sub-areas while rather high for informatic engineering.

    “In the conclusion of the Area 9 report, that phrase is followed by the contradictory statement that: 'The degree of concordance between peer evaluations and bibliometric evaluations is moderate (in Italian: 'moderato') in near all the sub-areas, while it results rather high (in Italian: 'piuttosto elevato') for informatic engineering' (ANVUR 2013).”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites ANVUR 2013

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    Premisecitation
    § 3. Comparing IR and bibliometrics · p. 7

    In informed peer review, two referees chosen by two different members of the GEV were asked to evaluate according to their subjective perception of the quality of the product in reference to the world distribution of the research products of the scientific field.

    “In this case two referees, chosen by two different members of the GEV, were asked to evaluate according 'to their subjective perception of the quality of the product in reference to the world distribution of the research products of the scientific field' (ANVUR 2013).”
    Quote in the paperSubstantial claim0 of 1 sources checked
    • cites ANVUR 2013

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  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Premisecitation
    § 3. Comparing IR and bibliometrics · p. 8

    Different guidelines for interpreting kappa values are available in the literature, as summarized in Table 1.

    “Different guidelines are available (Fleiss et al. 2003; Landis and Koch 1977; Altman 1991; George and Mallery 2003; Stemler and Tsai 2008) as summarized in Table 1.”
    Quote in the paperNot a substantial claim0 of 3 sources checked
    • cites Fleiss et al. 2003 source

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    • cites Landis and Koch 1977 source

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    • cites Altman 1991

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  • Probably not a substantial claim: may not pass S2 (checkable).

    Interpretationreasoning
    § 2004-2008 · p. 6

    This experiment is crucial for the overall soundness of the results of the national assessment.

    “This experiment is crucial for the overall soundness of the results of the national assessment.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.

    Premisecitation
    § 2. The Italian research assessment exercise · p. 4

    Four by four matrices with the 16 possible combinations of classes of citations and journal impact factors were defined; each GEV defined its own algorithms for translating these combinations into final scores; at least 48 different matrices were used for article classification.

    “Four by four matrices with the 16 possible combinations of classes of citations and journal impact factors were then defined. Each GEV defined its own algorithms for translating these possible combinations in the final score of the articles. At least 48 different matrices were used for article classification (Baccini 2016).”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites Baccini 2016

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    Premisecitation
    § 3. Comparing IR and bibliometrics · p. 9

    For the whole sample and VQR-weights, a value of 0.3441 is reported in Ancaiani et al. 2015.

    “For the whole sample and VQR-weights, a value of 0.3441 is reported in (Ancaiani et al. 2015).”
    Quote in the paperSubstantial claim0 of 1 sources checked
    • cites Ancaiani et al. 2015 source

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    Premisecitation
    § 3. Comparing IR and bibliometrics · p. 9

    Bertocchi et al. 2015 introduced references to the relevant literature which were not presented in the working paper versions.

    “(Bertocchi et al. 2015) introduced references to the relevant literature which were not presented in the working paper versions of the paper.”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites Bertocchi et al. 2015 source

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  • Probably not a substantial claim: may not pass S3 (load-bearing), S4 (based). May combine two claims.

    Interpretationnone given
    § 3. Comparing IR and bibliometrics · p. 9

    The term 'adequate' is not used in the relevant literature but is adopted by ANVUR only in its reports.

    “Really, the term 'adequate' is not used in the relevant literature, but it is adopted by the ANVUR only in its reports.”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Premisecitation
    § 2. The Italian research assessment exercise · p. 4

    Normalizations were not introduced for citation windows or for research fields.

    “Normalizations were not introduced neither for citation windows nor for research fields.”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites ANVUR 2013

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  • Classified as probably not a substantial claim. May combine two claims.

    Premisecitation
    § 2004-2008 · p. 6

    To address this problem, ANVUR carried out an experiment for assessing the agreement of the two evaluation methods: for Areas 1-9 and 13, a random sample of articles was submitted to both bibliometric and informed peer review evaluation.

    “To address this problem, ANVUR carried out an experiment for assessing the agreement of the two evaluation methods: for Areas 1-9 and 13, a random sample of articles was submitted to both bibliometric and IR evaluation.”
    Quote in the paperSubstantial claim0 of 1 sources checked
    • cites ANVUR 2013

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  • Classified as probably not a substantial claim. May combine two claims.

    Interpretationreasoning
    § 6. Concluding remarks · p. 16

    The negative correlation may originate from the mix of instruments used, but also from the intrinsic lower quality of research outputs which were evaluated by informed peer review.

    “It is worthwhile to note that this negative correlation may originate by the mix of instruments used, but also by the intrinsic 'lower quality' of research outputs which were evaluated by IR.”
    Quote in the paperSubstantial claim
  • May combine two claims.

    Interpretationown data
    § 6. Concluding remarks · p. 17

    In the overall sample there is an unacceptable, poor, or at most fair agreement, and this result does not justify the joint use of both techniques.

    “Indeed in the overall sample there is an unacceptable, a poor or at most, and in a few cases, a fair agreement, and this result all but justifies at all the joint use of both techniques.”
    Quote in the paperSubstantial claim
  • Classified as probably not a substantial claim. May combine two claims.

    Premisecitation
    § 5. A self-fulfilling experiment · p. 15

    In the economic history sub-area, there was higher disagreement between the two external referees compared with other areas, and there were particularly strict or generous judgments.

    “there was a higher disagreement between the two external referees, compared with other areas, and there were particularly strict or generous judgments.”
    Quote in the paperSubstantial claim0 of 1 sources checked
    • cites ANVUR 2013

      Not checked in the free run.

  • Probably not a substantial claim: may not pass S2 (checkable), S3 (load-bearing).

    Interpretationreasoning
    § 5. A self-fulfilling experiment · p. 15

    The economic history sub-area might have deserved a richer scrutiny, impossible with data publicly released by ANVUR.

    “The second is about the idiosyncratic character of the economic history sub-area, which might have deserved a richer scrutiny, impossible with data publicly released by ANVUR.”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Interpretationreasoning
    § 6. Concluding remarks · p. 16

    It is impossible to disentangle the two phenomena, and as a consequence it is impossible to give a clear interpretation of the results of the Italian research assessment exercise.

    “The point to be underlined here is that it is impossible to disentangle these two phenomena, and as a consequence it is impossible to give a clear interpretation of the results of the Italian research assessment exercise.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing), S4 (based).

    Interpretationreasoning
    § 5. A self-fulfilling experiment · p. 15

    It may be conjectured that the Area panel might have encountered difficulties in enacting the appropriate choice of referees because there were not enough panelists expert in economic history and the history of economic thought.

    “It may be conjectured that the Area panel might have encountered difficulties in enacting the appropriate choice of referees because there was not enough panelists who were expert in the economic history and history of economic thought field.”
    Quote in the paperNot a substantial claim
    • Rests on an assumption: Economic history is the only sub-area of the experiment for which a dedicated sub-area panel was not defined.
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Interpretationreasoning
    § Appendix · p. 19

    This value is strongly underestimated.

    “This value is strongly underestimated.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S4 (based).

    Study design and conductnone given
    § 6. Concluding remarks · p. 16

    In Area 13, the referees might have known the precise merit class in which each article was classified by using bibliometrics.

    “(iii) the referees might have known the precise merit class in which each article was classified by using bibliometrics;”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S4 (based).

    Study design and conductnone given
    § 6. Concluding remarks · p. 16

    In Area 13, the referees might have known that they were part of the experiment.

    “(ii) the referees might have known that they were part of the experiment;”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S2 (checkable).

    Interpretationown data
    § 6. Concluding remarks · p. 17

    Agencies that run research assessments should feel confident that results reached by using one technique will differ from those reached using the other.

    “This suggest that the agencies that run research assessments should feel confident that results that will be reached by using a technique will differ from those reached using the other.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S2 (checkable), S3 (load-bearing).

    Interpretationreasoning
    § 5. A self-fulfilling experiment · p. 15

    The results of the experiment for the economic history sub-area have to be considered with particular caution.

    “These conjectures seem to suggest that the results of the experiment for economic history sub-area have to be considered with particular caution.”
    Quote in the paperNot a substantial claim
52 of 52
  • The paper relies on this without support.

    Cohen's kappa is asymptotically normal and its sample variance is inversely proportional to the number of assessed papers in an area.

    “Recalling that Cohen's kappa is asymptotically normal and its sample variance is inversely proportional to the number mj of the assessed papers in the j -th area, under H0 we have”
  • The authors state this as an assumption.

    The kappas for the nine areas other than Area 13 are observed.

    “We assume that 𝑘𝑗 for 𝑗 = 1,2, … ,9 are observed.”
  • The authors state this as an assumption.

    None of the articles was evaluated at first sight as D (limited) by both GEV members, so that an article was not submitted to the informed peer review process, allowing the 590 articles to be treated as evaluated by two referees.

    “If we suppose (Hypothesis 1) that none of the articles was evaluated at a first sight as D (limited) by both GEV members -in this case an article was not submitted to the IR process-, then the 590 articles products can be treated as they were evaluated by two referees.”
  • The authors state this as an assumption.

    The Consensus Group formed by the two GEV members has never modified a concordant judgement, i.e. a judgment for which both referees were in agreement.

    “Let's suppose now (Hypothesis 2) that the Consensus Group formed by the two GEV members has never modified a concordant judgement, i.e. a judgment for which both referees were in agreement.”
  • The authors state this as an assumption.

    Each time peers expressed a concordant evaluation, this coincided with the bibliometric evaluation.

    “A third hypothesis is also formulated: each time peers expressed a concordant evaluation, this coincided with the bibliometric evaluation.”
  • The paper relies on this without support.

    Area 13 panelists who decided the journal ranking used for bibliometric evaluation were the same panelists who decided the final score of the informed peer review process.

    “It is worthwhile to recall that Area 13 panelists had decided the journal ranking used for bibliometric evaluation of articles submitted to the research assessment; they were the same panelists that decided the final score of the IR process.”
  • The paper relies on this without support.

    GEV13 members knew that all journal articles which had to be submitted to peer review were used in the context of the experiment, and they knew with certainty for each article the merit class in which it was assigned by using bibliometric evaluation.

    “GEV13 members knew that all journal articles which had to be submitted to peer review were used in the context of the experiment. They also knew with certainty for each article the merit class in which it was assigned by using bibliometric evaluation.”
  • The paper relies on this without support.

    In the other areas, the two pieces of information about articles submitted to peer review and their bibliometric merit class were probably not so easily available to GEV members.

    “In the other areas these two pieces of information were probably not so easily available to GEV members, because thay had many journal articles that had been submitted to peer review, possibly without a univocal bibliometric evaluation.”
  • The paper relies on this without support.

    Economic history is the only sub-area of the experiment for which a dedicated sub-area panel was not defined.

    “Economic history is the only sub-area of the experiment for which a dedicated sub-area panel was not defined.”
9 of 9

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

Each contradiction between two passages listed here was confirmed by an independent check.

  • Table A1 row 7 total does not sum to 64

    Major

    The four entries in row 7 sum to 47, not the reported total of 64. The paper uses 64 in its subsequent claim about articles evaluated by Consensus Groups.

    Reported 64 · recomputed 47

  • Economic history does not show moderate agreement

    Minor

    The abstract describes Area 13 and its sub-fields as showing moderate agreement, but its economic-history sub-field has kappas of 0.32 and 0.29. Both fall below the moderate ranges in the paper's interpretation table.

  • Concordant D-review percentage is miscalculated

    Minor

    The stated fraction 705/3441 is 20.5%, not 21.1%.

    Reported 21.1 · recomputed 20.48823

3 of 3

Cites

Flagged first, then by citations

2 of the 43 references couldn’t be matched to a known paper.

Research works printed but not linked: 7

  1. Bertocchi, G., Gambardella, A., Jappelli, T., Nappi, C. A., & Peracchi, F. (2013b). Bibliometric evaluation vs. informed peer review: Evidence from Italy. ReCent WP. Center for Economic Research, University of Modena and Reggio Emilia, Dept. of Economics Marco Biagi. · DOI
  2. Bertocchi, G., Gambardella, A., Jappelli, T., Nappi, C. A., & Peracchi, F. (2013c). Bibliometric evaluation vs. informed peer review: Evidence from Italy. IZA Discussion paper. Institute for the Study of Labour (IZA), Bonn. · DOI
  3. Bertocchi, G., Gambardella, A., Jappelli, T., Nappi, C. A., & Peracchi, F. (2013d). Bibliometric evaluation vs. informed peer review: Evidence from Italy. CEPR Discussion papers. · DOI
  4. Bertocchi, G., Gambardella, A., Jappelli, T., Nappi, C. A., & Peracchi, F. (2013e). Bibliometric evaluation vs. informed peer review: Evidence from Italy. CSEF working papers. Naples: Centre for Studies in Economics and Finance (CSEF). · DOI
  5. Bertocchi, G., Gambardella, A., Jappelli, T., Nappi, C. A., & Peracchi, F. (2014). Assessing Italian research quality: A comparison between bibliometric evaluation and informed peer review. In V. C. s. P. Portal (Ed.). www.voxeu.org . http://www.voxeu.org/article/research-quality-assessment-tools-lessons-italy . CEPR (Centre for Economic Policy Research).
  6. Cicero, T., Malgarini, M., Nappi, C. A., & Peracchi, F. (2013). Bibliometric and peer review methods for research evaluation: a methodological appraisement (in Italian). MPRA (Munich Personal REPEc Archive). Munich.
  7. HEFCE. (2015). The metric tide: Correlation analysis of REF2014 scores and metrics (Supplementary Report II to the Independent Review of the Role of Metrics in Research Assessment and Management).

Cited by

Sorted by citations

Authors
Baccini, A., & De Nicolao, G.
Affiliations
University of Siena (IT)
Corresponding author
Baccini, Alberto
Venue
Scientometrics
Published
2016-03-23
Volume
108
Issue
3
Pages
1651-1671
ISSN
  • 0138-9130 (ISSN-L)
  • 1588-2861
OpenAlex
W3126024829
Cited by
68
References
43
Citations by year
2026: 5 · 2025: 3 · 2024: 3 · 2023: 5 · 2022: 6 · 2021: 14 · 2020: 6 · 2019: 9 · 2018: 5 · 2017: 7 · 2016: 5
FWCI
8.16
Type
journal article
Language
en
Open access
Locations
  • Scientometrics (publishedVersion)
  • arXiv (Cornell University) (submittedVersion)
  • Use Siena air (University of Siena) (submittedVersion)
  • Use Siena air (University of Siena) (submittedVersion, other-oa)
  • RePEc: Research Papers in Economics (submittedVersion)
  • arXiv (Cornell University)
Topics
  • Social Sciences › Decision Sciences › Statistics, Probability and Uncertainty › scientometrics and bibliometrics research
  • Social Sciences › Psychology › Experimental and Cognitive Psychology › Psychology Research and Bibliometrics
  • Physical Sciences › Computer Science › Information Systems › Web visibility and informetrics
Keywords
ANVUR, bibliometric analysis, research evaluation policy

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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

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