Please read the instructions in the word file first, then chose two articles from the excel list that satisfy the requirement of instructions, then do the writing

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Please read the instructions in the word file first, then chose two articles from the excel list that satisfy the requirement of instructions, then do the writing


2022/5/6 20:47 Preview Rubric: Assessment 1: Individual Assignment - Data Analysis Assignment - (BEO6000) Data Analysis For Business - … https://vucollaborate.vu.edu.au/d2l/lp/rubrics/preview.d2l?ou=1360282&rubricId=473068&originTool=quicklinks 1/6 Assessment 1: Individual Assignment - Data Analysis Assignment Course: (BEO6000) Data Analysis For Business - CT,SY Criteria Full Mark HD D C P N Criterion Score Criterion 1: Appraise methods/ technique s/ data (15 points) / 1515 points 13.5 points Insightful and thorough compariso n & contrast of all the key points of context. (12 - 14.9 points) 11.3 points Accurately and clearly compare & contrast all the key points of context. (10.5 - 11.9 points) 9.8 points Reasonabl y compare & contrast most key points of context. (9 - 10.49 points) 8.3 points Compare & contrast about half of the key points of context. (7.5 - 8.9 points) 6 points Inaccuratel y and vaguely compare & contrast low relevance key points of context. Or Compare & contrast less than half of the key points of context. (0 - 7.49 points) 2022/5/6 20:47 Preview Rubric: Assessment 1: Individual Assignment - Data Analysis Assignment - (BEO6000) Data Analysis For Business - … https://vucollaborate.vu.edu.au/d2l/lp/rubrics/preview.d2l?ou=1360282&rubricId=473068&originTool=quicklinks 2/6 Criteria Full Mark HD D C P N Criterion Score Criterion 2: Discussio n & Analysis (40 points) / 4040 points 36 points Provide an insightful, clear & comprehe nsive discussion & excellent analysis in addressing the questions demonstra ting mastery of the knowledge in this unit. (32 - 39.9 points) 30 points Clear & comprehe nsive discussion & good analysis in addressing the questions demonstra ting a well- considered comprehe nsion of the topics. (28 - 31.9 points) 26 points Reasonabl y clear discussion & analysis in addressing the questions demonstra ting a reasonable understan ding of the topics. (24 - 27.9 points) 22 points Discussion & analysis presented in general terms &/or lacking some detail & clarity. Limited understan ding of the topics. (20 - 23.9 points) 16 points Limited or irrelevant discussion & little analysis demonstra ting a weak comprehe nsion of topics or no evidence of any real understan ding. Long narrative of events. (0 - 19.9 points) 2022/5/6 20:47 Preview Rubric: Assessment 1: Individual Assignment - Data Analysis Assignment - (BEO6000) Data Analysis For Business - … https://vucollaborate.vu.edu.au/d2l/lp/rubrics/preview.d2l?ou=1360282&rubricId=473068&originTool=quicklinks 3/6 Criteria Full Mark HD D C P N Criterion Score Criterion 3: Assess the appropriat eness of methods/ technique s used in the study (15 points) / 15 Criterion 4: Citations (7.5 points) / 7.5 15 points 13.5 points Rationale is succinct, insightful and comprehe nsive. (12 - 14.9 points) 11.3 points Rationale is clear and comprehe nsive. (10.5 - 11.9 points) 9.8 points Rationale is mostly appropriat e with some reasons need more developme nt in order to be convincing & a better justificatio n. (9 - 10.49 points) 8.3 points Rationale make sense but need clarity, developme nt, or some are not relevant to the category. (7.5 - 8.9 points) 6 points Rationale is inadequat e, irrelevant, or far too brief & undevelop ed. Justificatio ns are absent or not suitable. (0 - 7.49 points) 7.5 points 6.75 points All needed citations were included in the report. (6 - 7.49 points) 5.625 points Almost all citations were included in the report. (5.25 - 5.9 points) 4.875 points Reasonabl e number of citations were included in the report. (4.5 - 5.249 points) 4.125 points About half the number of citations were missing from the report. (3.75 - 4.49 points) 3 points Incomplet e or unclear referenced materials, or many citations were not included in the report. (0 - 3.749 points) 2022/5/6 20:47 Preview Rubric: Assessment 1: Individual Assignment - Data Analysis Assignment - (BEO6000) Data Analysis For Business - … https://vucollaborate.vu.edu.au/d2l/lp/rubrics/preview.d2l?ou=1360282&rubricId=473068&originTool=quicklinks 4/6 Criteria Full Mark HD D C P N Criterion Score Criterion 5: Appropria te referencin g style (Harvard) has been adopted throughou t the report (7.5 points) / 7.57.5 points 6.75 points Referencin g and citation style is accurately used & consistent throughou t both text and bibliograp hy. (6 - 7.49 points) 5.625 points A couple of errors in referencin g & citation style in both text and bibliograp hy. (5.25 - 5.9 points) 4.875 points Few errors in referencin g & citation style in both text and bibliograp hy. (4.5 - 5.249 points) 4.125 points Several errors in referencin g & citation style in both text and bibliograp hy. (3.75 - 4.49 points) 3 points Significantl y inconsiste nt or no referencin g and/or citation style adopted. (0 - 3.749 points) 2022/5/6 20:47 Preview Rubric: Assessment 1: Individual Assignment - Data Analysis Assignment - (BEO6000) Data Analysis For Business - … https://vucollaborate.vu.edu.au/d2l/lp/rubrics/preview.d2l?ou=1360282&rubricId=473068&originTool=quicklinks 5/6 Criteria Full Mark HD D C P N Criterion Score Criterion 6: Writing & Presentati on (7.5 points) / 7.57.5 points 6.75 points Writing is very accurate & clear regarding expression , grammar, spelling & presentati on. (6 - 7.49 points) 5.625 points Writing is mostly very clear & accurate regarding expression , grammar, spelling & presentati on. (5.25 - 5.9 points) 4.875 points Some inaccuraci es &/or lack of clarity are present regarding expression , grammar, spelling & presentati on. (4.5 - 5.249 points) 4.125 points About half of the report contains inaccuraci es &/or lack of clarity are present regarding structure, expression , grammar, spelling & presentati on. (3.75 - 4.49 points) 3 points Total lack of clarity in expression & sentences. Confusing content. Significant issues in grammar, spelling & presentati on. (0 - 3.749 points) 2022/5/6 20:47 Preview Rubric: Assessment 1: Individual Assignment - Data Analysis Assignment - (BEO6000) Data Analysis For Business - … https://vucollaborate.vu.edu.au/d2l/lp/rubrics/preview.d2l?ou=1360282&rubricId=473068&originTool=quicklinks 6/6 Total / 100 Overall Score Criteria Full Mark HD D C P N Criterion Score Criterion 7: Organisati on/ Structure (7.5 points) / 7.57.5 points 6.75 points Apt & smooth flow of paragraphs ; appropriat e, clear & skilful transitions between sentences & paragraphs . (6 - 7.49 points) 5.625 points Distinct units of thought in paragraph; clear transitions between developed, coherently arranged paragraphs . (5.25 - 5.9 points) 4.875 points Some awkward transitions ; some brief, weakly unified or undevelop ed paragraphs . (4.5 - 5.249 points) 4.125 points Tends to narrate or merely summarise ; wanders; repetitive; illogical arrangeme nt of ideas. Have to re-read sentences. (3.75 - 4.49 points) 3 points Illogical arrangeme nt of sentences. Paragraph structure is illogical or no transitions including having one or two sentences as a paragraph. (0 - 3.749 points) Full Marks (100%) 100 points minimum High Distinction (80% and above) 80 points minimum Distinction (70% - 79%) 70 points minimum Credit (60% - 69%) 60 points minimum Pass (50% - 59%) 50 points minimum Not Satisfactory (below 50%) 0 points minimum ABDC JQL 2019 Current at 6 December 2019 Version 9 contains minor textual corrections Journal TitlePublisherISSNISSN OnlineYear InceptionField of Research2019 Rating 4OR Springer Nature1619-45001614-241120031503B AACE International TransactionsAACE International1528-71061528-710619671503B Abacus Wiley-Blackwell Publishing0001-30721467-628119651501A Academia Economic PapersInstitute of Economics, Academia Sinica1018-161X19731402C Academy of Accounting and Financial Studies JournalAcademy of Accounting and Financial Studies1096-368519971501C Academy of Management AnnalsAcademy of Management1941-65201941-606720081503A* Academy of Management DiscoveriesAcademy of Management2168-100720151503A Academy of Management JournalAcademy of Management 0001-42731948-098919581503A* Academy of Management Learning and EducationAcademy of Management 1537-260X1944-958520021503A* Academy of Management PerspectivesAcademy of Management 1558-90801943-452919871503A Academy of Management ReviewAcademy of Management 0363-74251930-380719761503A* Academy of Marketing Studies JournalJordan Whitney Enterprises, Inc 1095-62981528-267819801505B Accident Analysis and PreventionElsevier 0001-45751879-205719691507A* Accountancy Business and the Public InterestAssociation for Accountancy & Business Affairs1745-771820021501B Accounting Accountability and PerformanceGriffith University1445-954X19951501C Accounting and Business ResearchTaylor & Francis Online0001-47882159-426019701501A Accounting and FinanceWiley-Blackwell Publishing0810-53911467-629X19611501A Accounting and TaxationInstitute for Business and Finance Research1944-592X20071501C Accounting and the Public InterestAmerican Accounting Association1530-932020011501B Accounting Auditing and Accountability JournalEmerald Group Publishing Limited0951-35741758-420519881501A* Accounting EducationTaylor & Francis Online0963-92841468-448919921501A Accounting Educators JournalAcademy of Accounting Educators Inc.1041-039219881501B Accounting ForumTaylor & Francis Online0155-99821467-630320041501B Accounting Historians JournalAmerican Accounting Association 0148-418419771501B Accounting HistorySage Publications1032-37321749-337419891501A Accounting History ReviewTaylor & Francis Online2155-28512155-286X20111501B Accounting HorizonsAmerican Accounting Association0888-79931558-797519871501A Accounting in EuropeTaylor & Francis Online1744-94801744-949920041501A Accounting PerspectivesWiley-Blackwell Publishing1911-382X1911-383820021501B Accounting Research JournalEmerald Group Publishing Limited1030-961619861501B Accounting, Economics and Law – A ConviviumDe Gruyter 2194-60512152-282020111501B Accounting, Finance and Governance ReviewIrish Accounting and Finance Association0791-963819941501C Accounting, Organizations and SocietyElsevier 0361-36821873-628919761501A* ACM Transactions on Computer-Human InteractionAssociation for Computing Machinery1073-05161557-732519940806A* ACM Transactions on Computing EducationThe Association for Computing Machinery1531-42781531-427820090806C ACM Transactions on Information SystemsAssociation for Computing Machinery1046-81881558-286819830806C ACM Transactions on Modeling and Computer SimulationAssociation for Computing Machinery1049-33011558-119519911503B Acta OeconomicaAkademiai Kiado0001-63731588-265919511499C Acta PsychologicaElsevier 0001-69181873-629719361503A Acta TuristicaUniversity of Zagreb, Faculty of Economics and Business0353-43161848-606119891506C Acta Universitatis Bohemiae MeridionalisSciendo1212-32852336-429719711402C Action Learning and Action Research JournalALARA Association Inc.1326-964X1326-964X19961503C Action Learning Research and Practice Taylor and Francis Online1476-73331476-734120041503C Active Learning in Higher EducationSage Publications1469-78741741-262520001503B Actuarial Research ClearinghouseSOA Education and Research Section0732-542820041502C Adelaide Law ReviewUniversity of Adelaide 0065-19151960180105A Administration and SocietySage Publications0095-39971552-303919751503B Administrative Science QuarterlySage Publications0001-8392 1930-381519561503A* Administrative Theory and PraxisTaylor & Francis Online1084-18061949-046119791503B Advances and Applications in StatisticsPushpa Publishing House0972-361720010104C Advances in AccountingElsevier 0882-61101046-571519841501A Advances in Accounting Behavioral ResearchEmerald Group Publishing1475-148819981501A Advances in Accounting Education: teaching and curriculum innovationsEmerald Group Publishing1085-462219961501C Advances in Applied ProbabilityApplied Probability Trust0001-86781475-606419640104A Advances in Consumer ResearchAssociation for Consumer Research0098-925819741505B Advances in Developing Human ResourcesSage Publications1523-42231552-305519991503C Advances in Environmental Accounting and ManagementEmerald Group Publishing1479-359820001501B Advances in Experimental Social PsychologyElsevier 0065-26011557-841019641503A* Advances in Hospitality and LeisureEmerald Group Publishing1745-354220051504C Advances in International ManagementEmerald Group Publishing1571-502719881503C Advances in International MarketingEmerald Group Publishing1474-797919861505C Advances in Management AccountingEmerald Group Publishing1474-787119901501A Advances in Public Interest AccountingEmerald Group Publishing1041-706019861501C Advances in Strategic ManagementEmerald Group Publishing0742-332219831503C Advances in TaxationEmerald Group Publishing1058-74971987180125B Advertising & Society ReviewJohns Hopkins University Press2475-17901534-731120001505C Afaq IqtisadiyyahFederation of UAE Chambers of Commerce and Industry: Centre for Research and Authentication 1024-266X19801402C Africa Development/Afrique et DeveloppementCouncil for the Development of Economic and Social Research in Africa0850-390719761499C African Development ReviewWiley-Blackwell Publishing1017-67721467-826819891499C African Economic HistoryUniversity of Wisconsin Press0145-22582163-910819741402C African Journal of Accounting, Auditing and FinanceInderscience Enterprises Ltd. 2046-80832046-809120121501C African Journal of Accounting, Economics, Finance and Banking ResearchGlobal Business Investments and Publications1933-34041933-346320071502C African Journal of Agricultural and Resource EconomicsAfrican Association of Agricultural Economists1993-37382521-987120061402B African Journal of Business and Economic ResearchAdonis and Abbey Publishers Ltd1750-45541750-456220061402C African Journal of Economic and Management StudiesEmerald Group Publishing2040-07052040-071320101503C African Journal of Economic and Sustainable DevelopmentInderscience Enterprises Ltd.2046-47702046-478920121402C African Review of Economics and FinanceWits University Press2042-14782410-490620091402C Afrika SpectrumDeutsches Institut für Afrika-Forschung0002-03971868-686919661402C Afro-Asian Journal of Finance and AccountingInderscience Enterprises Ltd.1751-64471751-645520081502C AgBioForumIllinois Missouri Biotechnology Alliance 1522-936X19981402C Agenda: a journal of policy analysis and reformAustralian National University 1322-18331447-473519941402B Agribusiness: An international journalWiley-Blackwell Publishing0742-44771520-629719841402C Agricultural and Resource Economics ReviewCambridge University Press1068-28052372-261419721402B Agricultural EconomicsWiley-Blackwell Publishing0169-51501574-086219281402A Agricultural Economics and Rural DevelopmentInstitute of Agricultural Economics20041499C Agricultural Economics Research ReviewAgricultural Economics Research Association0971-34410974-027919881499C Agricultural Economics ReviewGreek Association of Agricultural Economists1109-258020001499C Agricultural Finance ReviewEmerald Group Publishing0002-14662041-632619311502C Agriculture and Human ValuesSpringer International
Answered 1 days AfterMay 06, 2022Victoria University

Answer To: Please read the instructions in the word file first, then chose two articles from the excel list...

Nasreen answered on May 07 2022
106 Votes
ARTICLE 1- QUALITATIVE APPROACH
EDUCATIONAL MANAGEMENT ADMINISTRATION AND LEADERSHIP
Published by SAGE Publications
Online ISSN: 1741-1432
ARTICLE 2-QUANTITATIVE APPROACH
Human Resource Development International
QUANTITATIVE DATA ANALYSIS
Taylor & Francis "1367-8868    "    "1469-8374    "    "1998    "    http://www.tandfonline.com/rhrd    "1503    "    B
1.    Analyse the rationale given by the authors for the technique employed in data collection in each of the business research studies. In your analysis, determine whether the data collection technique is appropriate in each study
Article -1
Years of dedicated service Authentication have received very little
study. Neither traits of leadership talent inside the education
industry have been identified or investigated as being significant in
talent discovery within the context of research. How important are
these features, and how important are they? They’re evaluated, how
they are revealed, and how they are received. There are no founded
heads, center leaders, or teaching staff.
The authors have emphasized the significance of schooling new group
of workers that allows you to update another group of workers as they
leave. Hayes (2005) has counseled that the variety of assistant heads
now no longer searching for heads role is developing and that the
the interplay among heads and their deputies in phrases of succession
calls for in additional study.
Article -2
Quantitative study entails examining numerical data (both categorical and continuous) using a variety of statistical approaches. Data analysis and statistical tests are the two primary disciplines of statistics.
The questionnaire provides Human Capital Innovation (HRD) academics with an effective instrument for collecting data on a single issue from a large number of people. The phrase "questionnaire" refers to any type of data collection.
HRD International is committed to challenging the boundary between practice and theory, between practitioner and academic, and between traditional and experimental methodological approaches by adopting this stance.
2.    Evaluate the differences in data collection procedure and instrument used in each of the techniques
Article 1
Tests, questionnaires, interviews, and observations are some of
the methods of data collection used in carrying out this evaluation
task.
1. Participating schools received a packet containing a query for the principal, as well as inquiries for up to five school leadership and five teaching staff. Senior supervisors and teaching staff had their tasks clarified once more.
2. A bundle containing the quiz for the principal, as well as a questionnaire for up to five middle leaders and five classroom teachers, was distributed to participating institutions. The roles of intermediat
e managers and teaching staff were once again defined.
3. The data was collected using two different designs. To help grow the second survey phase, a focus group session was performed. Both sections used a group of schools with varying industry, size, and geographic outcomes.
4. The goal of this study is to widen the range of possible management talent development perspectives by using data from a number of middle and high schools.
Findings were discussed in accordance with the specific focus group and questionnaires.
Article-2
Quantitative Techniques
Numbers are used to collect data. Dummy encoding and other techniques are commonly used to convert non-numeric data into numbers. Non-numeric data is frequently divided into a few categories, which can subsequently be analysed using quantitative methods. It is possible to recode unrestricted text data or do quantitatively based text analysis on it.
There is a strong emphasis on "objective" analysis, however that term is always contested. In a medical study, for example, objective measurements like blood pressure and blood chemistry are chosen above subjective indicators like clinical judgement.
In a mathematical sense, there is a focus on whether the amount of data available is sufficient to warrant conclusions (how likely is this a chance result). p-values, hypothesis tests
3.    Disadvantages may negatively impact the study and recommend strategies to overcome or mitigate the impact from these disadvantages
Article 1
Although a variety of individual and career factors may influence an individual's willingness or ability to pursue leadership successor within their own university, the head and senior people are seen as having critical roles to perform in identifying and developing leadership potential this is a major disadvantage.
Each HR challenge has its unique set of problems and rewards, but one thing they all have in similar is that they will have a direct impact on the remaining workforce. The industry's living, vital people, each with their own personality traits, role models, goals, and requirements. Concentrate on providing the finest possible service to the individuals in your company. You should acquire their loyalty in exchange this is too can result as a disadvantage
Article 2
Adding a human resources has the downside of requiring you to lose control over how your company functions. Other people are now in charge of making significant decisions in key areas like as employment and human relations. If you hire outsiders or outsourcing personnel functions, you run the danger of their failing to adapt to the subtleties of your business and making judgments that are not in your greatest advantage.
Human Resource Management International encourages all parts of practice and study that focus on the independent person, group, and organizational learning and performance so greater challenges.
4.    Briefly describe the data analysis techniques used in these studies. Evaluate the differences in data format and data analysis methods between the studies
Article-1
The data analysis techniques
Non-numerical information is referred to as qualitative data. Working with unique identifiers like labels and attributes, as well as categorical variables like statistics, percentages, and measures, is part of the qualitative data analysis strategy. In qualitative data analysis, a data analyst may employ firsthand or participant observation methodologies, conduct interviews, run focus groups, or study documents and artefacts. This is the technique used in the article
Article -2
Because quantitative data is numerical in nature, quantitative data analysis requires working with numerical variables such as statistics, percentages, calculations, measurements, and other data. Working with algorithms, mathematical analytical tools, and software to modify data and unearth insights that expose the business value are common quantitative data analysis strategies.
Quantitative approach, such as survey questionnaire, aims to generate information by identifying variables and analysing textual research questions and hypotheses, using positivism and postpositivist philosophical approaches in particular is the technique used here.
5.    Critically assess secondary data as a substitute and as a supplement to data collected through the quantitative and qualitative techniques in the studies
Secondary data:
Secondary data analysis entails a researcher using data obtained by someone else for their interests. Authors have used secondary research to try to answer the latest research topic or investigate a different angle on a prior study's previous question.
Quantitative study includes the gathering and analysis of subjective data that is frequently shaped by the sociological, cultural, and political realities that exist at the moment of data collection. When such data is re-analysed or re-interpreted at a different period, modifications in social, cultural, and/or political norms may cause investigators to ask incorrect study questions or use inappropriate analysis methodologies, or they may misrepresent the actual information.
Article-2
Consider what type of data you're dealing with, along with your research objectives and hypotheses, when selecting statistics approaches and procedures is crucial
For researchers who want to address broad questions on a big scale, secondary data analysis is a useful and effective tool if used carefully.
REFERENCES
1.https://www.researchgate.net/publication/258135592_Leadership_Talent_Identification_and_Development_Perceptions_of_Heads_Middle_Leaders_and_Classroom_Teachers_in_70_Contextually_Different_Primary_and_Secondary_Schools_in_England
2.https://tech.ed.gov/wp-content/uploads/2014/03/edm-la-brief.pdf
3.https://www.alchemer.com/resources/blog/secondary-data-analysis/
4.https://www.tandfonline.com/action/journalInformation?show=aimsScope&journalCode=rhrd20
5.https://doi.org/10.1080/13678860310001630665
2,
TT5
See discussions, stats, and author profiles for this publication at: https://www.researchgate.net/publication/258135592
Leadership Talent Identification and Development Perceptions
of Heads, Middle Leaders and Classroom Teachers in 70
Contextually Different Primary a....
Article  in  Educational Management Administration and Leadership · July 2008
DOI: 10.1177/1741143208090592
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The influence of anthropometric variables, body composition, propulsive force and maturation on 50m freestyle swimming
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Liverpool John Moores University
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Administration & Leadership
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http://ema.sagepub.com/content/36/3/311
The online version of this article can be found at:

DOI: 10.1177/1741143208090592
2008 36: 311Educational Management Administration & Leadership
Christopher Rhodes, Mark Brundrett and Alan Nevill
Secondary Schools in England
Leaders and Classroom Teachers in 70 Contextually Different Primary and
Leadership Talent Identification and Development : Perceptions of Heads, Middle


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311
Leadership Talent Identification and Development
Perceptions of Heads, Middle Leaders and Classroom Teachers
in 70 Contextually Different Primary and Secondary Schools
in England
Christopher Rhodes, Mark Brundrett and Alan Nevill
A B S T R A C T
This article reports on outcomes from a study funded by the National College for
School Leadership (NCSL) designed to explore leadership talent identification,
development, succession and retention in contextually different primary and
secondary schools in England. Focus groups and a questionnaire were used to secure
perceptions of heads, middle leaders and classroom teachers about leadership talent
identification and development. Twenty characteristics indicative of leadership talent
were identified. Agreement and disjuncture were recorded concerning the importance
of characteristics among respondent groups. The implications of these findings for
leadership development and succession, in the face of a potential leadership crisis in
the UK and internationally, are discussed. The longer-term career planning of staff, the
place of needs analysis, self-disclosure and senior leadership decision-making are
examined with respect to leadership talent identification and development. The article
offers a basis upon which schools can reflect on their role in providing a good training
ground for future leaders. School-based changes are recommended so that individual
school’s longer-term leadership requirements may be better addressed.
K E Y W O R D S leadership crisis, leadership, leadership talent, succession management,
succession planning
Introduction
It is well established that ensuring a supply of able middle and senior leaders
is of key strategic importance to individual schools, their learners and the
communities they serve. A recent document presented to the UK Parliament
by the Secretary of State for Education and Skills (DfES, 2005) emphasizes that
good leadership is at the heart of every good school. However, increasing
concern about the potential for a leadership crisis in UK schools (Hartle and
Thomas, 2004; Griffiths, 2005; Bedford, 2006; Shaw 2006) typified by falling
numbers of applicants and an exodus from the profession caused by a
Educational Management Administration & Leadership
ISSN 1741-1432 DOI: 10.1177/1741143208090592
SAGE Publications (London, Los Angeles, New Delhi and Singapore)
Copyright © 2008 BELMAS Vol 36(3) 311–335; 090592
A RT I C L E
311-335 090592 Rhodes (D) 10/6/08 09:47 Page 311
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demographic ‘retirement bulge’ (IPPR, 2002; LDR, 2004; Ward, 2004), serves to
undermine both leadership supply and continuity. In consequence, the notion
of pro-activity in ‘growing one’s own’ leaders within schools is rapidly emerging
within the UK so that those with talent can be developed as the school leaders
of the future (Rhodes and Brundrett, 2005, 2006). The in-house development of
possible leadership successors requires the recognition of leadership talent in
others. Talent identification is well-established in many commercial organiz-
ations and forms part of overall leadership succession planning and its manage-
ment. This typically involves the organization taking a longer-term view so that
future leadership needs can be addressed. It also involves well-targeted career
development for talented individuals and senior staff working together to
recognize the leadership potential of others (Wolfe, 1996; McCall, 1998; Hirsch,
2000; Byham et al., 2003). The centre piece of most succession planning and
management programmes is some means to assess individual potential
(Rothwell, 2005).
In contrast to the commercial sector, little information concerning leadership
succession and its management is available in the education sector (Rhodes and
Brundrett, 2006). In public sector organizations, Lynn (2001) describes two of
the most important dimensions of succession management as assessing future
needs and identifying potential leaders. More recently, in the schools sector,
Fink and Brayman (2006) have suggested that engagement with leadership
succession planning connects mechanisms of leadership talent identification,
recruitment, preparation, placement, induction and continuing professional
development. In view of the centrality of leadership talent identification to in-
house leadership development and succession, the present article seeks to
explore current practices and potentialities with respect to talent identification
in contextually different primary and secondary schools in England. Contextu-
ally different schools were chosen as context has been shown to be influential
in shaping what leaders prioritize and do to develop their schools in the future
(Southworth, 2004). Contextually different schools offer a potential breadth of
experience in leadership talent identification and development. The article
seeks to establish characteristics indicative of leadership talent so as to aid
talent identification and development. The article also seeks to explore head,
middle leader and classroom teacher perspectives of the related development
issues of career planning, needs analysis, self-disclosure of staff desire to
further develop leadership potential and senior staff bases for judgments
relating to leadership talent identification and development. It is intended that
the article should bring forward perspectives relatable to other schools and to
further inform the research agenda with respect to this sparsely investigated
area of school leadership.
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Literature Review
The extent of a potential leadership crisis in schools characterized by falling
applications for leadership posts in the UK and accompanying leadership short-
ages is becoming clear in the UK (Howson, 2005; Rhodes and Brundrett, 2006).
Details of school leadership shortages are also emerging internationally (see
Brooking et al., 2003; Gronn and Rawlings-Sanaei, 2003; Thomson et al., 2003;
Williams, 2003). The need to identify and develop a pool of talent able to meet
present and future leadership requirements in schools is becoming increasingly
imperative. Leadership talent identification in the UK has traditionally relied
on the tacit knowledge of educational professionals, such as heads, gained
through years of service. Little research has been undertaken on the identifi-
cation of leadership talent within the education sector, nor have the character-
istics perceived important in talent identification been articulated or explored
within a research context. The relative importance of such characteristics, how
they are assessed, how they are disclosed and how they are understood by
heads, middle leaders and classroom teachers have not been established.
Most research in the UK has been concerned with overcoming barriers to
leadership succession and has not included study of the linked parameter of
talent identification. For example, Fletcher-Campbell (2003) has secured
feedback on teacher perspectives of the advantages and disadvantages of
seeking promotion to middle leadership posts. Castagnoli and Cook (2004) have
emphasized the importance of training new staff so that they can replace other
staff as they leave. Hayes (2005) has cautioned that the number of deputy heads
not seeking headship is growing and that the interaction between heads and
their deputies in terms of succession requires further study. Flintham, (2003a,
2003b) has researched headteachers who see their incumbency in terms of a
limited timescale, offering a skill-set required at a particular stage in the
journey of their school and then moving on or leaving headship in advance of
the normal retirement age. Flintham suggests that decisions concerning the
timescale of incumbency are related to levels of sustainability of hope and
emotional fortitude. In a Scottish study, Draper and McMichael (2003) identi-
fied a number of problems in relation to head teacher recruitment. For
example, they contend that the attraction of senior staff to other career oppor-
tunities in schools and in education other than headship is likely to occur due
to individuals reluctance to take on further responsibilities, reluctance to
address burdensome bureaucracy and reluctance to lose control over their lives.
A recent UK government initiative to identify and ‘fast-track’ people of talent
within the profession has led to the emergence of a number of competencies
and values against which aspirant individuals may be measured. Tranter (2003)
has advocated the development and use of ‘national standards’ to act as bench-
marks against which talent can be measured concisely. Lambert (2003) has
identified the role of the school as a learning environment in allowing new
teachers to emerge as leaders early in their careers. Similarly, Baker (2003)
Rhodes et al.: Leadership Talent Identification and Development
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suggests that it is possible and desirable to identify future leaders after two or
three years teaching. Most recently, Rhodes and Brundrett (2006) have begun
to explore characteristics suggested by heads and by middle leaders in primary
schools as important in leadership talent identification. This study has also
suggested some possible discordance between heads and middle leaders with
respect to their understanding of the characteristics perceived to be indicative
of leadership talent.
Outside the UK, an international literature concerned with leadership succes-
sion is developing, with a similar focus on overcoming barriers to succession.
For example, in Australia, Dorman and D’Arbon (2003a, 2003b) have studied
barriers to succession to principalship and Gronn and Lacey (2004) have offered
insights into how aspirant principals position themselves for leadership. A
recent study undertaken in the USA by Quinn et al. (2006) has begun to pose
questions concerning the nature of knowledge, skills and experiences required
to support leadership potential and desire. In suggesting a four-phase model of
leadership development for new teachers, these authors are mindful that
without talent identification and talent development, a rich source of human
potential remains untapped and untrained and may be lost.
Research Design
Context
Data collection was effected via a two phase design. A focus group phase was
conducted in order to inform a second questionnaire phase. Both phases drew
upon a sample of contextually different schools in terms of sector, size and
performance. Research into school leadership has shown that context is
important (Southworth, 2004). Context pertains to the age of pupils the school
serves, school culture, performance, size, religious denomination, geographical
location, immediate environment in terms of an inner city, urban, sub-urban
or rural location, reputation, community links, characteristics of the school site
and school buildings. Of these, Southworth (2004) has identified school
performance as a major influence which can dramatically influence develop-
ment and improvement efforts set by a school’s incumbent leadership. South-
worth (2004) and Kimber (2003) have also identified school size as a major
contextual factor influential upon incumbent leadership actions. For example,
it has been indicated the larger the size of the school, the greater its complex-
ity and hence the greater its need for the distribution of its leadership (Harris
and Lambert, 2003; Southworth, 2004). Schools within the present sample did
reflect differences in culture, religious denomination, geographical location,
immediate environment, reputation, community links and characteristics of
the schools site and buildings. However, in seeking contextual factors most
likely to be influential upon incumbent leadership actions and priorities and
hence influential upon leadership needs, the identification of characteristics
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perceived as indicative of leadership talent and issues pertaining to leadership
talent development, school performance and school size were chosen to guide
the selection of schools included in the present sample. Additionally, a balance
between primary...
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