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Self-report questionnaires are the predominant method used in human resource management (HRM) research to assess employees’ work-related psychological constructs (e.g., processes, states, and attributes). However, this method is associated with significant shortcomings, including the introduction of self-serving bias and common method variance when used exclusively. In this chapter, the authors challenge the assumption that individuals themselves are the only accurate source of the self-focused information collected in HRM research. Instead, the authors propose that other-ratings – ratings of a target individual that are provided by a workplace observer, such as a coworker, supervisor, or subordinate – can accurately assess commonly measured work-related psychological constructs. The authors begin by explaining the advantages of other-ratings for HRM research and practice, reviewing the history of other-ratings and how they emerged in the personality and person-perception literature, and outlining how they have been used in HRM research to date. Then, the authors build upon Funder’s (1995) realistic accuracy model to develop a theoretical argument detailing why workplace others should be able to accurately judge how another employee thinks and feels about work. Next, the authors highlight existing evidence in the literature on the accuracy of other-ratings and present the results of a preliminary meta-analysis on the ability of other-ratings to predict self-ratings of work-related psychological constructs. Finally, the authors discuss potential moderators of other-rating accuracy and reflect on a number of practical considerations for researchers looking to use other-ratings in their own work. The authors intend for this chapter to meaningfully contribute to the larger conversation on HRM research methods. Other-ratings are a simple, yet powerful, addition to the methodological toolkit of HRM researchers that can increase flexibility in research design and improve the overall quality of research.

The purpose of this paper is to adapt a repertory grid technique to investigate fiction readers’ attitudes and beliefs, with a specific focus on minority ethnic fiction.

The study required participants (n=36) to rate on a seven-point Likert scale a series of 16 provided constructs, using ten main elements, namely, the reader of ten fiction genres. Statistical tests investigated participant agreement across construct ratings, where on average fiction readers are rated on a construct continuum, and the extent to which public library work experience affected participants’ perceptions.

Findings were revealed regarding the perceived characteristics of the readers of ten fiction genres, including minority ethnic fiction. The readers of Asian and Black British fiction were similarly rated, but certain exceptions were also noted which had not been reported in previous research. Although intraclass correlations indicated that ratings were consistent for the more established fiction genres, there was little agreement regarding minority fiction.

The research was potentially limited by the ethnic homogeneity of the sample population and the gender imbalance of same, and (in some cases) a lack of knowledge of minority fiction genres. It was felt that the repertory grid was an effective technique via which to build a rich profile of the fiction reader.

This research could inform the development of fiction collections, and its detailed examination of fiction reader profiles could be adapted in three specific ways, as described in the paper.

Little previous research has been conducted to differentiate between readers of different fiction genres, and less still for those of minority ethnic fiction genres.

The purpose of this paper is to propose a debt rating index system for small industrial enterprises that significantly distinguishes the default state. This debt rating system is constructed using the F-test and correlation analysis method, with the small industrial enterprise loans of a Chinese commercial bank as the data sample. This study establishes the weighting principle for the debt scoring model: “the more significant the default state, the larger is the weight.” The debt rating system for small industrial enterprises is constructed based on the standard “the higher the debt rating, the lower is the loss given default.”

In this study, the authors selected indexes that pass the homogeneity of variance test based on the principle that a greater deviation of the default sample’s mean from the whole sample’s mean leads to greater significance in distinguishing the default samples from the non-default samples. The authors removed correlated indexes based on the results of the correlation analysis and constructed a debt rating index system for small industrial enterprises that included 23 indexes.

Among the 23 indexes, the weights of 12 quantitative indexes add up to 0.547, while the weights of the remaining 11 qualitative indexes add up to 0.453. That is, in the debt rating of the small industry enterprises, the financial indexes are not capable of reflecting all the debt situations, and the qualitative indexes play a more important role in debt rating. The weights of indexes “X17 Outstanding loans to all assets ratio” and “X59 Date of the enterprise establishment” are 0.146 and 0.133, respectively; both these are greater than 0.1, and the indexes are ranked first and second, respectively. The weights of indexes “X6 EBIT-to- current liabilities ratio,” “X13 Ratio of capital to fixed” and “X78 Legal dispute number” are between 0.07 and 0.09, these indexes are ranked third to fifth. The weights of indexes “X3 Quick ratio” and “X50 Per capital year-end savings balance of Urban and rural residents” are both 0.013, and these are the lowest ranked indexes.

The data of index i are divided into two categories: default and non-default. A greater deviation in the mean of the default sample from that of the whole sample leads to greater deviation from the non-default sample’s mean as well; thus, the index can easily distinguish the default and the non-default samples. Following this line of thought, the authors select indexes that pass the F-test for the debt rating system that identifies whether or not the sample is default. This avoids the disadvantages of the existing research in which the standard for selecting the index has nothing to do with the default state; further, this presents a new way of debt rating. When the correlation coefficient of two indexes is greater than 0.8, the index with the smaller F-value is removed because of its weaker prediction capacity. This avoids the mistake of eliminating an index that has strong ability to distinguish default and non-default samples. The greater the deviation of the default sample’s mean from the whole sample’s mean, the greater is the capability of the index to distinguish the default state. According to this rule, the authors assign a larger weight to the index that exhibits the ability to identify the default state. This is different from the existing index system, which does not take into account the ability to identify the default state.

Using the public library context, this paper seeks to present research identifying perceived characteristics of fiction readers and their associated genres, with a particular emphasis on the reader of Black British and Asian fiction in the English language.

The paper applies personal construct theory and the associated repertory grid to a mixed method study involving 15 repertory grid interviews, conducted with librarianship Master's students at a UK university.

The findings regarding the perceived profile of the reader were similar to those reported in previous sociological research, but new constructs emerged regarding certain perceived characteristics of both readers and genres.

The method and findings provide a starting‐point for future research in materials portraying, and originating from, minority ethnic communities. With more repeated constructs and a larger sample size, future research could statistically investigate the significance of potential trends and apparent relationships between data.

The paper provides new data regarding the nature and readership of minority ethnic fiction, informing the improvement of its provision and promotion by public libraries.

It is hoped that longer‐term effects will be to increase both public and professional understanding of fiction written by members of minority ethnic communities, and of its potential contribution to the wider body of literature in the English language.

The paper applies personal construct theory and the associated repertory grid technique to a new area of research and practice, with new data having been generated concerning the perceived characteristics of fiction genres, and of their readers.

As occupational applications of repertory grid technique continue to grow, there is a need for a method of analysis which can be carried out as conveniently by hand as by computer, particularly in the field of human resource development. This article describes such a method, a cluster analysis called “Focus”, and outlines some applications in personnel and training work by means of an annotated algorithm.

Due to the paucity of research on web-based job applicant screening (i.e. cybervetting), the purpose of the current study was to examine the psychometric properties of cybervetting, including an examination of the impact of adding structure to the rating process.

Using a mixed-factorial design, 122 supervisors conducted cybervetting evaluations of applicant personality, cognitive ability, written communication skills, professionalism, and overall suitability. Cross-method agreement (i.e. the degree of similarity between cybervetting ratings and other assessment methods), as well as interrater reliability and agreement were examined, and unstructured versus structured cybervetting rating formats were compared.

Cybervetting assessments demonstrated high interrater reliability and interrater agreement, but only limited evidence of cross-method agreement was provided. In addition, adding structure to the cybervetting process did not enhance the psychometric properties of this assessment technique.

This study highlighted that whereas cybervetting raters demonstrated a high degree of consensus in cybervetting-based attributions, there may be concerns regarding assessment accuracy, as cybervetting-based ratings generally differed from applicant test scores and self-assessment ratings. Thus, employers should use caution when utilizing this pre-employment screening technique.

Whereas previous research has suggested that cybervetting ratings demonstrate convergence with other traditional assessments (albeit with relatively small effects), these correlational links do not provide information regarding cross-method agreement or method interchangeability. Thus, this study bridges a crucial gap in the literature by examining cross-method agreement for a variety of job-relevant constructs, as well as empirically testing the impact of adding structure to the cybervetting rating process.

Ratings grids, emerging from personal construct theory, measure an individual's perception of a situation. This paper and exercises seek to demonstrate how researchers and managers can use the grid to evaluate visitors' perceptions of an attraction or event.

A training exercise explains how to use the ratings grid, a type of repertory grid, to evaluate tourist attractions or special events. A ratings grid example analyzes visitors' impressions of an art festival (n=142). The steps taken for grid development, administration strategy, and analysis are discussed and described.

The results suggest that visitors' impressions of the art festival are consistent with the festival's communication objectives. These findings suggest that the art festival presents itself to visitors accurately.

Ratings grids are designed to examine only the elements a researcher selects. Important elements to respondents may be overlooked using this test, and the researcher will not get an accurate measure of respondents' attitudes.

The exercise provides guidance to a useful method for measuring visitor perceptions and allows researchers and managers to understand visitor experiences better.

The psychological analysis of strategic management issues has gained a great deal of momentum in recent years. Much can be learned by entering the black box of strategic thinking of senior executives and bring new insights on how they see, make sense of, and interpret their everyday strategic experiences. This chapter will focus on a powerful cognitive mapping tool called the Repertory Grid Technique and demonstrate how it has been used in the strategy literature along with how a new and more refined application of the technique can enhance the elicitation of complex strategic cognitions for strategy and Board of Directors research.

This paper aims to provide instructions on how to implement an adapted version of the standard repertory grid technique (VARGT). The purpose of which is to provide practitioners with a tool, which enables active engagement by participants in research and clinical practice. This tool has been used effectively with people convicted of stalking offences.

Repertory grids, developed from Kelly’s Personal Construct Theory (1955), had never been used with those who stalk, either clinically or in a research context. Visual and kinaesthetic adaptations were made to standard RGT procedures (Grice, 2002; Tan and Hunter, 2002), for use in a mixed methods research study (Wheatley, 2019, p. 77) due to expected challenges in engaging with this group. This manuscript presents theoretical underpinnings and step-by-step instructions for practical application.

The VARGT is easy to administer and produces rich data, in both qualitative and quantitative formats. This adapted approach encourages active participation and an interpreted therapeutic collaboration (Wheatley et al., 2020).

This novel technique has engaged men convicted of stalking offences collaboratively in research activities and showed potential for its use as a clinical tool. This instructional technical paper allows the technique to be replicated.

This novel technique has engaged men convicted of stalking offences collaboratively in research activities and showed potential for its use as a clinical tool. This instructional technical paper allows the technique to be replicated.

Repertory grid technique is a well‐known and important tool for market research. Frost and Braine (1967) went as far as to say: “In our view, the Repertory Grid represents an approach of such fundamental importance that we regard it as having as much potential in market research as any technique since the invention of the questionnaire”. Grid technique has typically been used for identifying ideal product attributes. This article, however, gives an example of how the method was successfully used to investigate customers' views on a complex concept.