计量经济分析 = Econometric analysis

Summary

The use of both linear and generalized linear mixed-effects models (LMMs and GLMMs) has become popular not only in social and medical sciences, but also in biological sciences, especially in the field of ecology and evolution. Information criteria, such as Akaike Information Criterion (AIC), are usually presented as model comparison tools for mixed-effects models.


The presentation of ‘variance explained’ (R2) as a relevant summarizing statistic of mixed-effects models, however, is rare, even though R2 is routinely reported for linear models (LMs) and also generalized linear models (GLMs). R2 has the extremely useful property of providing an absolute value for the goodness-of-fit of a model, which cannot be given by the information criteria. As a summary statistic that describes the amount of variance explained, R2 can also be a quantity of biological interest.


One reason for the under-appreciation of R2 for mixed-effects models lies in the fact that R2 can be defined in a number of ways. Furthermore, most definitions of R2 for mixed-effects have theoretical problems (e.g. decreased or negative R2 values in larger models) and/or their use is hindered by practical difficulties (e.g. implementation).


Here, we make a case for the importance of reporting R2 for mixed-effects models. We first provide the common definitions of R2 for LMs and GLMs and discuss the key problems associated with calculating R2 for mixed-effects models. We then recommend a general and simple method for calculating two types of R2 (marginal and conditional R2) for both LMMs and GLMMs, which are less susceptible to common problems.


This method is illustrated by examples and can be widely employed by researchers in any fields of research, regardless of software packages used for fitting mixed-effects models. The proposed method has the potential to facilitate the presentation of R2 for a wide range of circumstances.

https://besjournals.onlinelibrary.wiley.com/doi/epdf/10.1111/j.2041-210x.2012.00261.x

A general and simple method for obtaining R2 from generalized linear mixed-effects models

The establishment of measurement invariance across groups is a logical prerequisite to conducting substantive cross-group comparisons (e.g., tests of group mean differences, invariance of structura...

A Review and Synthesis of the Measurement Invariance Literature: Suggestions, Practices, and Recommendations for Organizational Research

The field of organizationa l justice continues to be marked by several important research questions, including the size of relationships among justice dimensions, the relative importance of different justice criteria, and the unique effects of justice dimensions on key outcomes. To address such questions, the authors conducted a meta-analytic review of 183 justice studies. The results suggest that although different justice dimensions are moderately to highly related, they contribute incremental variance explained in fairness perceptions. The results also illustrate the overall and unique relationships among distributive, procedural, interpersonal, and informational justice and several organizational outcomes (e.g., job satisfaction, organizational commitment, evaluation of authority, organizational citizenship behavior, withdrawal, performance). These findings are reviewed in terms of their implications for future research on organizationa l justice.

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Justice at the millennium: a meta-analytic review of 25 years of organizational justice research

Pedagosko i psiholosko testiranje i procjenjivanje spadaju među najvažnije doprinose znanosti o ponasanju nasem drustvu i pružaju temeljna i znacajna poboljsanja u odnosu na ranije postupke. Iako se ne može ustvrditi da su svi testovi dovoljno usavrseni niti da su sva testiranja razborita i korisna, postoji velika kolicina informacija koje ukazuju na ucinkovitost kvalitetnih instrumenata u onim situacijama u kojima je njihovo koristenje potkrijepljeno validacijskim podacima. Pravilna upotreba testova može dovesti do boljih odluka o pojedincima i programima nego sto bi to bio slucaj bez njihovog koristenja, a također i ukazati na put za siri i pravedniji pristup obrazovanju i zaposljavanju. Međutim, losa upotreba testova može dovesti do zamjetne stete nanesene ispitanicima i drugim sudionicima u procesu donosenja odluka na temelju testovnih podataka. Cilj Standarda je promoviranje kvalitetne i eticne upotrebe testova te uspostavljanje osnovice za ocjenu kvalitete postupaka testiranja. Svrha objavljivanja Standarda je uspostavljanje kriterija za evaluaciju testova, provedbe testiranja i posljedica upotrebe testova. Iako bi evaluacija prikladnosti testa ili njegove primjene trebala ovisiti prvenstveno o strucnim misljenjima, Standardi pružaju okvir koji osigurava obuhvacanje svih relevantnih pitanja. Bilo bi poželjno da svi autori, sponzori, nakladnici i korisnici profesionalnih testova usvoje Standarde te da poticu druge da ih također prihvate.

Standards for educational and psychological testing

At some point, hiring managers in all organizations face the decision of whether to fill open positions with internal candidates (e.g., through promotions) or to hire external candidates (e.g., from competitors or new entrants into the labor market). Despite this ubiquitous choice, surprisingly little research has compared the effectiveness of internal and external selection or has identified situations in which 1 approach may be better than the other. The authors use theory on human capital resources to predict differences between internal and external hires on manager- and unit-level outcomes. Analysis of data from a quick-service retail organization (N = 3,697) suggested that internally hired managers demonstrated higher levels of individual job performance and commanded lower starting salaries than externally hired managers. At the unit-level, operations led by internal hires demonstrated higher performance on organization-specific criteria (i.e., service performance), whereas no internal-external differences were found on more general criteria (i.e., financial performance). They also found some evidence that differences in unit service performance decreased over time (but did not diminish completely) as external hires improved at a slightly faster rate than internal hires. Overall, these findings underscore the complexity of the recurring "build or buy" decision. The results also suggest that internal hires generally outperform external hires, both individually and collectively, and they do so for less money. (PsycINFO Database Record

Build or Buy? The Individual and Unit-Level Performance of Internally Versus Externally Selected Managers Over Time

The measurement and analysis of motivation.

The Social and Organizational Context of Personnel Selection

The Predictor Response Process Model.

Personnel selection has a long and successful record for effectiveness in applied psychology. We propose that this record for effectiveness has been narrowly focused on the individual level of analysis, resulting in a lack of suitability for addressing conceptual and applied phenomena at unit (group, organizational) levels of analysis. The chapter integrates the traditional personnel selection focus on individuals with recent thinking on multiple levels of analysis and we show how this alternative has implications for selection system design, assessment procedures, and validation research. Specifically, we first review and critique the individual selection model from a multi-level orientation and then explicate how multi-level selection procedures may be enacted and evaluated. We then compare the development and validation of selection practices in two fictional organizations, one using the traditional focus on individuals and one using our revised multi-level methodology, to-illustrate the benefits of the new approach. We conclude with several recommendations for future research and practice.

Robert E. Ployhart

Papers

Build or Buy? The Individual and Unit-Level Performance of Internally Versus Externally Selected Managers Over Time

The measurement and analysis of motivation.

The Social and Organizational Context of Personnel Selection

The Predictor Response Process Model.

A multi-level perspective on personnel selection research and practice: Implications for selection system design, assessment, and construct validation