Bad to good :: achieving high quality and impact in your research /
With the objective of reducing the high volume of bad practices in business research, this book offers propositions for improving theory construction and empirical testing of theory especially by business scholars. It does so by covering 24 common bad practices, explaining why they are bad and how t...
Gespeichert in:
Weitere Verfasser: | |
---|---|
Format: | Elektronisch E-Book |
Sprache: | English |
Veröffentlicht: |
Bingley :
Emerald,
2016.
|
Schlagworte: | |
Online-Zugang: | Volltext |
Zusammenfassung: | With the objective of reducing the high volume of bad practices in business research, this book offers propositions for improving theory construction and empirical testing of theory especially by business scholars. It does so by covering 24 common bad practices, explaining why they are bad and how to replace all of them with a good practice. |
Beschreibung: | 1 online resource |
Bibliographie: | Includes bibliographical references and index. |
ISBN: | 9781786353337 1786353334 |
Internformat
MARC
LEADER | 00000cam a2200000 i 4500 | ||
---|---|---|---|
001 | ZDB-4-EBU-ocn958651136 | ||
003 | OCoLC | ||
005 | 20240405112445.0 | ||
006 | m o d | ||
007 | cr cnu---unuuu | ||
008 | 160919s2016 enk ob 001 0 eng d | ||
040 | |a N$T |b eng |e rda |e pn |c N$T |d N$T |d OCLCO |d EBLCP |d IDEBK |d YDX |d TEFOD |d IDB |d CNCGM |d OCLCQ |d MERUC |d OCLCQ |d SNK |d DKU |d AUW |d IGB |d D6H |d UUM |d WRM |d CAUOI |d OCLCF |d OCLCQ |d VTS |d UPM |d AGLDB |d NRC |d OCLCQ |d G3B |d BRX |d S8J |d S9I |d COO |d STF |d UKAHL |d BWS |d LVT |d OCLCQ |d OCLCO |d OCLCQ |d LUN |d EUN |d OCLCO |d UKOBU |d OCLCL |d OCLCQ | ||
019 | |a 959424010 |a 960276310 |a 960833574 |a 961150884 |a 961813241 |a 1107051897 |a 1117802228 |a 1170608857 |a 1172255352 |a 1373105652 | ||
020 | |a 9781786353337 |q (electronic bk.) | ||
020 | |a 1786353334 |q (electronic bk.) | ||
020 | |z 9781786353344 | ||
020 | |z 1786353342 | ||
035 | |a (OCoLC)958651136 |z (OCoLC)959424010 |z (OCoLC)960276310 |z (OCoLC)960833574 |z (OCoLC)961150884 |z (OCoLC)961813241 |z (OCoLC)1107051897 |z (OCoLC)1117802228 |z (OCoLC)1170608857 |z (OCoLC)1172255352 |z (OCoLC)1373105652 | ||
037 | |a 5049EE9E-8383-4EB9-9835-61F46BE816A2 |b OverDrive, Inc. |n http://www.overdrive.com | ||
050 | 4 | |a HD30.4 |b .B33 2016 | |
072 | 7 | |a BUS |x 082000 |2 bisacsh | |
072 | 7 | |a BUS |x 041000 |2 bisacsh | |
072 | 7 | |a BUS |x 042000 |2 bisacsh | |
072 | 7 | |a BUS |x 085000 |2 bisacsh | |
072 | 7 | |a GPS. |2 bicssc | |
080 | |a 001.8 | ||
082 | 7 | |a 658.0072 |2 23 | |
049 | |a MAIN | ||
245 | 0 | 0 | |a Bad to good : |b achieving high quality and impact in your research / |c edited by Arch G. Woodside. |
264 | 1 | |a Bingley : |b Emerald, |c 2016. | |
300 | |a 1 online resource | ||
336 | |a text |b txt |2 rdacontent | ||
337 | |a computer |b c |2 rdamedia | ||
338 | |a online resource |b cr |2 rdacarrier | ||
588 | 0 | |a Online resource; title from PDF title page (EBSCO, viewed September 21, 2016). | |
504 | |a Includes bibliographical references and index. | ||
505 | 0 | |a Front Cover; Bad to Good: Achieving High Quality and Impact in Your Research; Copyright Page; Contents; List of Contributors; Dedication; Preface; Chapter 1 Moving away from Bad Practices in Research toward Constructing Useful Theory and Doing Useful Research; Introduction; A Profile of Bad Practices Appearing in Most Journal Manuscript Submissions; Bad Practice: Theory and Analysis Mismatch; Embracing the Complexity Turn; Bad Practice: Testing for Fit Validity Only; Not Testing for Predictive Validity; Bad Practice: Ignoring Cases with Associations Contrary to Significant Main Effects. | |
505 | 8 | |a Bad Practice: Reporting Findings Using t, p, F, r, and R2Bad Practice: Focusing on Net Effects in Regression Models; Bad Practices: Relying on Verbal Self-Reports Only and Using Five- or Seven-Point Scale Responses to Measure Variables in Mental Processes; Bad Practice: Not Studying Behavior Dynamically; Doing Only Cross-Sectional Survey Studies; Bad Practice: Interviewing One Person per Group (Firm, Household, or Organization); Bad Practice: Useable Response Rates Less Than 50% and Measuring Nonresponse Bias; Bad Practice: Symmetric (Variable) Only Modeling. | |
505 | 8 | |a Bad Practice: Using a Void-Treatment Control Group in Experiments Not Using a Placebo Control Group; Bad Practice: Doing Laboratory Experiments Only; Not Doing Field Experiments; Bad Practice: Use of Mushy (Soft, Squishy) Questions to Measure Thinking and Behavior; Failure to Collect/Report Real-Life Contextual Data; Bad Practice: The Study of One Dependent/Outcome Variable at a Time; Bad Practice: Advocacy Hypothesis Construction and Testing; Bad Practice: Stepwise Regression Analysis. | |
505 | 8 | |a Bad Practice: Failure to Plan to Include a Replication in the Study or to Invite Other Scholars to Attempt to Replicate FindingsBad Practice: Including Non-Significant Terms in Regression Models; Bad Practice: Using Median Splits; Conclusion; References; Chapter 2 Embrace Complexity Theory, Perform Contrarian Case Analysis, and Model Multiple Realities; Introduction: Beyond Rote Applications of Regression Analysis; Complexity Theory Tenets. | |
505 | 8 | |a A Simple Antecedent Condition May Be Necessary But a Simple Antecedent Condition is Rarely Sufficient for Predicting a High or Low Score in an Outcome ConditionA Complex Antecedent Condition of Two or More Simple Conditions Is Sufficient for a Consistently High Score in an Outcome Condition _ The Recipe Principle; A Model That Is Sufficient Is Not Necessary for an Outcome Having a High Score to Occur -- The Equifinality Principle. | |
505 | 8 | |a Recipes Indicating a Second Outcome (e.g., Rejection) Are Unique and Not the Mirror Opposites of Recipes of a Different Outcome (E.G., Acceptance) -- The Causal Asymmetry Principle. | |
520 | |a With the objective of reducing the high volume of bad practices in business research, this book offers propositions for improving theory construction and empirical testing of theory especially by business scholars. It does so by covering 24 common bad practices, explaining why they are bad and how to replace all of them with a good practice. | ||
650 | 0 | |a Management |x Research |x Methodology. | |
650 | 0 | |a Business |x Research |x Methodology. | |
650 | 0 | |a Marketing research |x Research |x Methodology. | |
650 | 6 | |a Affaires |x Recherche |x Méthodologie. | |
650 | 7 | |a Research methods: general. |2 bicssc | |
650 | 7 | |a BUSINESS & ECONOMICS |x Industrial Management. |2 bisacsh | |
650 | 7 | |a BUSINESS & ECONOMICS |x Management. |2 bisacsh | |
650 | 7 | |a BUSINESS & ECONOMICS |x Management Science. |2 bisacsh | |
650 | 7 | |a BUSINESS & ECONOMICS |x Organizational Behavior. |2 bisacsh | |
650 | 7 | |a Business |x Research |x Methodology |2 fast | |
650 | 7 | |a Management |x Research |x Methodology |2 fast | |
700 | 1 | |a Woodside, Arch G., |e editor. |0 http://id.loc.gov/authorities/names/n50013173 | |
758 | |i has work: |a Bad to good (Text) |1 https://id.oclc.org/worldcat/entity/E39PCGvPdwxMDVMHMwXcvMHXBP |4 https://id.oclc.org/worldcat/ontology/hasWork | ||
776 | 0 | 8 | |i Print version: |z 1786353342 |z 9781786353344 |w (OCoLC)958779049 |
856 | 4 | 0 | |l FWS01 |p ZDB-4-EBU |q FWS_PDA_EBU |u https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=1353296 |3 Volltext |
938 | |a Askews and Holts Library Services |b ASKH |n AH30550664 | ||
938 | |a EBL - Ebook Library |b EBLB |n EBL4689659 | ||
938 | |a EBSCOhost |b EBSC |n 1353296 | ||
938 | |a ProQuest MyiLibrary Digital eBook Collection |b IDEB |n cis34181871 | ||
938 | |a YBP Library Services |b YANK |n 12933186 | ||
994 | |a 92 |b GEBAY | ||
912 | |a ZDB-4-EBU | ||
049 | |a DE-863 |
Datensatz im Suchindex
DE-BY-FWS_katkey | ZDB-4-EBU-ocn958651136 |
---|---|
_version_ | 1804748460113526784 |
adam_text | |
any_adam_object | |
author2 | Woodside, Arch G. |
author2_role | edt |
author2_variant | a g w ag agw |
author_GND | http://id.loc.gov/authorities/names/n50013173 |
author_facet | Woodside, Arch G. |
building | Verbundindex |
bvnumber | localFWS |
callnumber-first | H - Social Science |
callnumber-label | HD30 |
callnumber-raw | HD30.4 .B33 2016 |
callnumber-search | HD30.4 .B33 2016 |
callnumber-sort | HD 230.4 B33 42016 |
callnumber-subject | HD - Industries, Land Use, Labor |
collection | ZDB-4-EBU |
contents | Front Cover; Bad to Good: Achieving High Quality and Impact in Your Research; Copyright Page; Contents; List of Contributors; Dedication; Preface; Chapter 1 Moving away from Bad Practices in Research toward Constructing Useful Theory and Doing Useful Research; Introduction; A Profile of Bad Practices Appearing in Most Journal Manuscript Submissions; Bad Practice: Theory and Analysis Mismatch; Embracing the Complexity Turn; Bad Practice: Testing for Fit Validity Only; Not Testing for Predictive Validity; Bad Practice: Ignoring Cases with Associations Contrary to Significant Main Effects. Bad Practice: Reporting Findings Using t, p, F, r, and R2Bad Practice: Focusing on Net Effects in Regression Models; Bad Practices: Relying on Verbal Self-Reports Only and Using Five- or Seven-Point Scale Responses to Measure Variables in Mental Processes; Bad Practice: Not Studying Behavior Dynamically; Doing Only Cross-Sectional Survey Studies; Bad Practice: Interviewing One Person per Group (Firm, Household, or Organization); Bad Practice: Useable Response Rates Less Than 50% and Measuring Nonresponse Bias; Bad Practice: Symmetric (Variable) Only Modeling. Bad Practice: Using a Void-Treatment Control Group in Experiments Not Using a Placebo Control Group; Bad Practice: Doing Laboratory Experiments Only; Not Doing Field Experiments; Bad Practice: Use of Mushy (Soft, Squishy) Questions to Measure Thinking and Behavior; Failure to Collect/Report Real-Life Contextual Data; Bad Practice: The Study of One Dependent/Outcome Variable at a Time; Bad Practice: Advocacy Hypothesis Construction and Testing; Bad Practice: Stepwise Regression Analysis. Bad Practice: Failure to Plan to Include a Replication in the Study or to Invite Other Scholars to Attempt to Replicate FindingsBad Practice: Including Non-Significant Terms in Regression Models; Bad Practice: Using Median Splits; Conclusion; References; Chapter 2 Embrace Complexity Theory, Perform Contrarian Case Analysis, and Model Multiple Realities; Introduction: Beyond Rote Applications of Regression Analysis; Complexity Theory Tenets. A Simple Antecedent Condition May Be Necessary But a Simple Antecedent Condition is Rarely Sufficient for Predicting a High or Low Score in an Outcome ConditionA Complex Antecedent Condition of Two or More Simple Conditions Is Sufficient for a Consistently High Score in an Outcome Condition _ The Recipe Principle; A Model That Is Sufficient Is Not Necessary for an Outcome Having a High Score to Occur -- The Equifinality Principle. Recipes Indicating a Second Outcome (e.g., Rejection) Are Unique and Not the Mirror Opposites of Recipes of a Different Outcome (E.G., Acceptance) -- The Causal Asymmetry Principle. |
ctrlnum | (OCoLC)958651136 |
dewey-full | 658.0072 |
dewey-hundreds | 600 - Technology (Applied sciences) |
dewey-ones | 658 - General management |
dewey-raw | 658.0072 |
dewey-search | 658.0072 |
dewey-sort | 3658.0072 |
dewey-tens | 650 - Management and auxiliary services |
discipline | Wirtschaftswissenschaften |
format | Electronic eBook |
fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>06415cam a2200733 i 4500</leader><controlfield tag="001">ZDB-4-EBU-ocn958651136</controlfield><controlfield tag="003">OCoLC</controlfield><controlfield tag="005">20240405112445.0</controlfield><controlfield tag="006">m o d </controlfield><controlfield tag="007">cr cnu---unuuu</controlfield><controlfield tag="008">160919s2016 enk ob 001 0 eng d</controlfield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">N$T</subfield><subfield code="b">eng</subfield><subfield code="e">rda</subfield><subfield code="e">pn</subfield><subfield code="c">N$T</subfield><subfield code="d">N$T</subfield><subfield code="d">OCLCO</subfield><subfield code="d">EBLCP</subfield><subfield code="d">IDEBK</subfield><subfield code="d">YDX</subfield><subfield code="d">TEFOD</subfield><subfield code="d">IDB</subfield><subfield code="d">CNCGM</subfield><subfield code="d">OCLCQ</subfield><subfield code="d">MERUC</subfield><subfield code="d">OCLCQ</subfield><subfield code="d">SNK</subfield><subfield code="d">DKU</subfield><subfield code="d">AUW</subfield><subfield code="d">IGB</subfield><subfield code="d">D6H</subfield><subfield code="d">UUM</subfield><subfield code="d">WRM</subfield><subfield code="d">CAUOI</subfield><subfield code="d">OCLCF</subfield><subfield code="d">OCLCQ</subfield><subfield code="d">VTS</subfield><subfield code="d">UPM</subfield><subfield code="d">AGLDB</subfield><subfield code="d">NRC</subfield><subfield code="d">OCLCQ</subfield><subfield code="d">G3B</subfield><subfield code="d">BRX</subfield><subfield code="d">S8J</subfield><subfield code="d">S9I</subfield><subfield code="d">COO</subfield><subfield code="d">STF</subfield><subfield code="d">UKAHL</subfield><subfield code="d">BWS</subfield><subfield code="d">LVT</subfield><subfield code="d">OCLCQ</subfield><subfield code="d">OCLCO</subfield><subfield code="d">OCLCQ</subfield><subfield code="d">LUN</subfield><subfield code="d">EUN</subfield><subfield code="d">OCLCO</subfield><subfield code="d">UKOBU</subfield><subfield code="d">OCLCL</subfield><subfield code="d">OCLCQ</subfield></datafield><datafield tag="019" ind1=" " ind2=" "><subfield code="a">959424010</subfield><subfield code="a">960276310</subfield><subfield code="a">960833574</subfield><subfield code="a">961150884</subfield><subfield code="a">961813241</subfield><subfield code="a">1107051897</subfield><subfield code="a">1117802228</subfield><subfield code="a">1170608857</subfield><subfield code="a">1172255352</subfield><subfield code="a">1373105652</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9781786353337</subfield><subfield code="q">(electronic bk.)</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">1786353334</subfield><subfield code="q">(electronic bk.)</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="z">9781786353344</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="z">1786353342</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)958651136</subfield><subfield code="z">(OCoLC)959424010</subfield><subfield code="z">(OCoLC)960276310</subfield><subfield code="z">(OCoLC)960833574</subfield><subfield code="z">(OCoLC)961150884</subfield><subfield code="z">(OCoLC)961813241</subfield><subfield code="z">(OCoLC)1107051897</subfield><subfield code="z">(OCoLC)1117802228</subfield><subfield code="z">(OCoLC)1170608857</subfield><subfield code="z">(OCoLC)1172255352</subfield><subfield code="z">(OCoLC)1373105652</subfield></datafield><datafield tag="037" ind1=" " ind2=" "><subfield code="a">5049EE9E-8383-4EB9-9835-61F46BE816A2</subfield><subfield code="b">OverDrive, Inc.</subfield><subfield code="n">http://www.overdrive.com</subfield></datafield><datafield tag="050" ind1=" " ind2="4"><subfield code="a">HD30.4</subfield><subfield code="b">.B33 2016</subfield></datafield><datafield tag="072" ind1=" " ind2="7"><subfield code="a">BUS</subfield><subfield code="x">082000</subfield><subfield code="2">bisacsh</subfield></datafield><datafield tag="072" ind1=" " ind2="7"><subfield code="a">BUS</subfield><subfield code="x">041000</subfield><subfield code="2">bisacsh</subfield></datafield><datafield tag="072" ind1=" " ind2="7"><subfield code="a">BUS</subfield><subfield code="x">042000</subfield><subfield code="2">bisacsh</subfield></datafield><datafield tag="072" ind1=" " ind2="7"><subfield code="a">BUS</subfield><subfield code="x">085000</subfield><subfield code="2">bisacsh</subfield></datafield><datafield tag="072" ind1=" " ind2="7"><subfield code="a">GPS.</subfield><subfield code="2">bicssc</subfield></datafield><datafield tag="080" ind1=" " ind2=" "><subfield code="a">001.8</subfield></datafield><datafield tag="082" ind1="7" ind2=" "><subfield code="a">658.0072</subfield><subfield code="2">23</subfield></datafield><datafield tag="049" ind1=" " ind2=" "><subfield code="a">MAIN</subfield></datafield><datafield tag="245" ind1="0" ind2="0"><subfield code="a">Bad to good :</subfield><subfield code="b">achieving high quality and impact in your research /</subfield><subfield code="c">edited by Arch G. Woodside.</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Bingley :</subfield><subfield code="b">Emerald,</subfield><subfield code="c">2016.</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 online resource</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">computer</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">online resource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="588" ind1="0" ind2=" "><subfield code="a">Online resource; title from PDF title page (EBSCO, viewed September 21, 2016).</subfield></datafield><datafield tag="504" ind1=" " ind2=" "><subfield code="a">Includes bibliographical references and index.</subfield></datafield><datafield tag="505" ind1="0" ind2=" "><subfield code="a">Front Cover; Bad to Good: Achieving High Quality and Impact in Your Research; Copyright Page; Contents; List of Contributors; Dedication; Preface; Chapter 1 Moving away from Bad Practices in Research toward Constructing Useful Theory and Doing Useful Research; Introduction; A Profile of Bad Practices Appearing in Most Journal Manuscript Submissions; Bad Practice: Theory and Analysis Mismatch; Embracing the Complexity Turn; Bad Practice: Testing for Fit Validity Only; Not Testing for Predictive Validity; Bad Practice: Ignoring Cases with Associations Contrary to Significant Main Effects.</subfield></datafield><datafield tag="505" ind1="8" ind2=" "><subfield code="a">Bad Practice: Reporting Findings Using t, p, F, r, and R2Bad Practice: Focusing on Net Effects in Regression Models; Bad Practices: Relying on Verbal Self-Reports Only and Using Five- or Seven-Point Scale Responses to Measure Variables in Mental Processes; Bad Practice: Not Studying Behavior Dynamically; Doing Only Cross-Sectional Survey Studies; Bad Practice: Interviewing One Person per Group (Firm, Household, or Organization); Bad Practice: Useable Response Rates Less Than 50% and Measuring Nonresponse Bias; Bad Practice: Symmetric (Variable) Only Modeling.</subfield></datafield><datafield tag="505" ind1="8" ind2=" "><subfield code="a">Bad Practice: Using a Void-Treatment Control Group in Experiments Not Using a Placebo Control Group; Bad Practice: Doing Laboratory Experiments Only; Not Doing Field Experiments; Bad Practice: Use of Mushy (Soft, Squishy) Questions to Measure Thinking and Behavior; Failure to Collect/Report Real-Life Contextual Data; Bad Practice: The Study of One Dependent/Outcome Variable at a Time; Bad Practice: Advocacy Hypothesis Construction and Testing; Bad Practice: Stepwise Regression Analysis.</subfield></datafield><datafield tag="505" ind1="8" ind2=" "><subfield code="a">Bad Practice: Failure to Plan to Include a Replication in the Study or to Invite Other Scholars to Attempt to Replicate FindingsBad Practice: Including Non-Significant Terms in Regression Models; Bad Practice: Using Median Splits; Conclusion; References; Chapter 2 Embrace Complexity Theory, Perform Contrarian Case Analysis, and Model Multiple Realities; Introduction: Beyond Rote Applications of Regression Analysis; Complexity Theory Tenets.</subfield></datafield><datafield tag="505" ind1="8" ind2=" "><subfield code="a">A Simple Antecedent Condition May Be Necessary But a Simple Antecedent Condition is Rarely Sufficient for Predicting a High or Low Score in an Outcome ConditionA Complex Antecedent Condition of Two or More Simple Conditions Is Sufficient for a Consistently High Score in an Outcome Condition _ The Recipe Principle; A Model That Is Sufficient Is Not Necessary for an Outcome Having a High Score to Occur -- The Equifinality Principle.</subfield></datafield><datafield tag="505" ind1="8" ind2=" "><subfield code="a">Recipes Indicating a Second Outcome (e.g., Rejection) Are Unique and Not the Mirror Opposites of Recipes of a Different Outcome (E.G., Acceptance) -- The Causal Asymmetry Principle.</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">With the objective of reducing the high volume of bad practices in business research, this book offers propositions for improving theory construction and empirical testing of theory especially by business scholars. It does so by covering 24 common bad practices, explaining why they are bad and how to replace all of them with a good practice.</subfield></datafield><datafield tag="650" ind1=" " ind2="0"><subfield code="a">Management</subfield><subfield code="x">Research</subfield><subfield code="x">Methodology.</subfield></datafield><datafield tag="650" ind1=" " ind2="0"><subfield code="a">Business</subfield><subfield code="x">Research</subfield><subfield code="x">Methodology.</subfield></datafield><datafield tag="650" ind1=" " ind2="0"><subfield code="a">Marketing research</subfield><subfield code="x">Research</subfield><subfield code="x">Methodology.</subfield></datafield><datafield tag="650" ind1=" " ind2="6"><subfield code="a">Affaires</subfield><subfield code="x">Recherche</subfield><subfield code="x">Méthodologie.</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Research methods: general.</subfield><subfield code="2">bicssc</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">BUSINESS & ECONOMICS</subfield><subfield code="x">Industrial Management.</subfield><subfield code="2">bisacsh</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">BUSINESS & ECONOMICS</subfield><subfield code="x">Management.</subfield><subfield code="2">bisacsh</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">BUSINESS & ECONOMICS</subfield><subfield code="x">Management Science.</subfield><subfield code="2">bisacsh</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">BUSINESS & ECONOMICS</subfield><subfield code="x">Organizational Behavior.</subfield><subfield code="2">bisacsh</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Business</subfield><subfield code="x">Research</subfield><subfield code="x">Methodology</subfield><subfield code="2">fast</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Management</subfield><subfield code="x">Research</subfield><subfield code="x">Methodology</subfield><subfield code="2">fast</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Woodside, Arch G.,</subfield><subfield code="e">editor.</subfield><subfield code="0">http://id.loc.gov/authorities/names/n50013173</subfield></datafield><datafield tag="758" ind1=" " ind2=" "><subfield code="i">has work:</subfield><subfield code="a">Bad to good (Text)</subfield><subfield code="1">https://id.oclc.org/worldcat/entity/E39PCGvPdwxMDVMHMwXcvMHXBP</subfield><subfield code="4">https://id.oclc.org/worldcat/ontology/hasWork</subfield></datafield><datafield tag="776" ind1="0" ind2="8"><subfield code="i">Print version:</subfield><subfield code="z">1786353342</subfield><subfield code="z">9781786353344</subfield><subfield code="w">(OCoLC)958779049</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="l">FWS01</subfield><subfield code="p">ZDB-4-EBU</subfield><subfield code="q">FWS_PDA_EBU</subfield><subfield code="u">https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=1353296</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="938" ind1=" " ind2=" "><subfield code="a">Askews and Holts Library Services</subfield><subfield code="b">ASKH</subfield><subfield code="n">AH30550664</subfield></datafield><datafield tag="938" ind1=" " ind2=" "><subfield code="a">EBL - Ebook Library</subfield><subfield code="b">EBLB</subfield><subfield code="n">EBL4689659</subfield></datafield><datafield tag="938" ind1=" " ind2=" "><subfield code="a">EBSCOhost</subfield><subfield code="b">EBSC</subfield><subfield code="n">1353296</subfield></datafield><datafield tag="938" ind1=" " ind2=" "><subfield code="a">ProQuest MyiLibrary Digital eBook Collection</subfield><subfield code="b">IDEB</subfield><subfield code="n">cis34181871</subfield></datafield><datafield tag="938" ind1=" " ind2=" "><subfield code="a">YBP Library Services</subfield><subfield code="b">YANK</subfield><subfield code="n">12933186</subfield></datafield><datafield tag="994" ind1=" " ind2=" "><subfield code="a">92</subfield><subfield code="b">GEBAY</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-4-EBU</subfield></datafield><datafield tag="049" ind1=" " ind2=" "><subfield code="a">DE-863</subfield></datafield></record></collection> |
id | ZDB-4-EBU-ocn958651136 |
illustrated | Not Illustrated |
indexdate | 2024-07-16T15:04:13Z |
institution | BVB |
isbn | 9781786353337 1786353334 |
language | English |
oclc_num | 958651136 |
open_access_boolean | |
owner | MAIN DE-863 DE-BY-FWS |
owner_facet | MAIN DE-863 DE-BY-FWS |
physical | 1 online resource |
psigel | ZDB-4-EBU |
publishDate | 2016 |
publishDateSearch | 2016 |
publishDateSort | 2016 |
publisher | Emerald, |
record_format | marc |
spelling | Bad to good : achieving high quality and impact in your research / edited by Arch G. Woodside. Bingley : Emerald, 2016. 1 online resource text txt rdacontent computer c rdamedia online resource cr rdacarrier Online resource; title from PDF title page (EBSCO, viewed September 21, 2016). Includes bibliographical references and index. Front Cover; Bad to Good: Achieving High Quality and Impact in Your Research; Copyright Page; Contents; List of Contributors; Dedication; Preface; Chapter 1 Moving away from Bad Practices in Research toward Constructing Useful Theory and Doing Useful Research; Introduction; A Profile of Bad Practices Appearing in Most Journal Manuscript Submissions; Bad Practice: Theory and Analysis Mismatch; Embracing the Complexity Turn; Bad Practice: Testing for Fit Validity Only; Not Testing for Predictive Validity; Bad Practice: Ignoring Cases with Associations Contrary to Significant Main Effects. Bad Practice: Reporting Findings Using t, p, F, r, and R2Bad Practice: Focusing on Net Effects in Regression Models; Bad Practices: Relying on Verbal Self-Reports Only and Using Five- or Seven-Point Scale Responses to Measure Variables in Mental Processes; Bad Practice: Not Studying Behavior Dynamically; Doing Only Cross-Sectional Survey Studies; Bad Practice: Interviewing One Person per Group (Firm, Household, or Organization); Bad Practice: Useable Response Rates Less Than 50% and Measuring Nonresponse Bias; Bad Practice: Symmetric (Variable) Only Modeling. Bad Practice: Using a Void-Treatment Control Group in Experiments Not Using a Placebo Control Group; Bad Practice: Doing Laboratory Experiments Only; Not Doing Field Experiments; Bad Practice: Use of Mushy (Soft, Squishy) Questions to Measure Thinking and Behavior; Failure to Collect/Report Real-Life Contextual Data; Bad Practice: The Study of One Dependent/Outcome Variable at a Time; Bad Practice: Advocacy Hypothesis Construction and Testing; Bad Practice: Stepwise Regression Analysis. Bad Practice: Failure to Plan to Include a Replication in the Study or to Invite Other Scholars to Attempt to Replicate FindingsBad Practice: Including Non-Significant Terms in Regression Models; Bad Practice: Using Median Splits; Conclusion; References; Chapter 2 Embrace Complexity Theory, Perform Contrarian Case Analysis, and Model Multiple Realities; Introduction: Beyond Rote Applications of Regression Analysis; Complexity Theory Tenets. A Simple Antecedent Condition May Be Necessary But a Simple Antecedent Condition is Rarely Sufficient for Predicting a High or Low Score in an Outcome ConditionA Complex Antecedent Condition of Two or More Simple Conditions Is Sufficient for a Consistently High Score in an Outcome Condition _ The Recipe Principle; A Model That Is Sufficient Is Not Necessary for an Outcome Having a High Score to Occur -- The Equifinality Principle. Recipes Indicating a Second Outcome (e.g., Rejection) Are Unique and Not the Mirror Opposites of Recipes of a Different Outcome (E.G., Acceptance) -- The Causal Asymmetry Principle. With the objective of reducing the high volume of bad practices in business research, this book offers propositions for improving theory construction and empirical testing of theory especially by business scholars. It does so by covering 24 common bad practices, explaining why they are bad and how to replace all of them with a good practice. Management Research Methodology. Business Research Methodology. Marketing research Research Methodology. Affaires Recherche Méthodologie. Research methods: general. bicssc BUSINESS & ECONOMICS Industrial Management. bisacsh BUSINESS & ECONOMICS Management. bisacsh BUSINESS & ECONOMICS Management Science. bisacsh BUSINESS & ECONOMICS Organizational Behavior. bisacsh Business Research Methodology fast Management Research Methodology fast Woodside, Arch G., editor. http://id.loc.gov/authorities/names/n50013173 has work: Bad to good (Text) https://id.oclc.org/worldcat/entity/E39PCGvPdwxMDVMHMwXcvMHXBP https://id.oclc.org/worldcat/ontology/hasWork Print version: 1786353342 9781786353344 (OCoLC)958779049 FWS01 ZDB-4-EBU FWS_PDA_EBU https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=1353296 Volltext |
spellingShingle | Bad to good : achieving high quality and impact in your research / Front Cover; Bad to Good: Achieving High Quality and Impact in Your Research; Copyright Page; Contents; List of Contributors; Dedication; Preface; Chapter 1 Moving away from Bad Practices in Research toward Constructing Useful Theory and Doing Useful Research; Introduction; A Profile of Bad Practices Appearing in Most Journal Manuscript Submissions; Bad Practice: Theory and Analysis Mismatch; Embracing the Complexity Turn; Bad Practice: Testing for Fit Validity Only; Not Testing for Predictive Validity; Bad Practice: Ignoring Cases with Associations Contrary to Significant Main Effects. Bad Practice: Reporting Findings Using t, p, F, r, and R2Bad Practice: Focusing on Net Effects in Regression Models; Bad Practices: Relying on Verbal Self-Reports Only and Using Five- or Seven-Point Scale Responses to Measure Variables in Mental Processes; Bad Practice: Not Studying Behavior Dynamically; Doing Only Cross-Sectional Survey Studies; Bad Practice: Interviewing One Person per Group (Firm, Household, or Organization); Bad Practice: Useable Response Rates Less Than 50% and Measuring Nonresponse Bias; Bad Practice: Symmetric (Variable) Only Modeling. Bad Practice: Using a Void-Treatment Control Group in Experiments Not Using a Placebo Control Group; Bad Practice: Doing Laboratory Experiments Only; Not Doing Field Experiments; Bad Practice: Use of Mushy (Soft, Squishy) Questions to Measure Thinking and Behavior; Failure to Collect/Report Real-Life Contextual Data; Bad Practice: The Study of One Dependent/Outcome Variable at a Time; Bad Practice: Advocacy Hypothesis Construction and Testing; Bad Practice: Stepwise Regression Analysis. Bad Practice: Failure to Plan to Include a Replication in the Study or to Invite Other Scholars to Attempt to Replicate FindingsBad Practice: Including Non-Significant Terms in Regression Models; Bad Practice: Using Median Splits; Conclusion; References; Chapter 2 Embrace Complexity Theory, Perform Contrarian Case Analysis, and Model Multiple Realities; Introduction: Beyond Rote Applications of Regression Analysis; Complexity Theory Tenets. A Simple Antecedent Condition May Be Necessary But a Simple Antecedent Condition is Rarely Sufficient for Predicting a High or Low Score in an Outcome ConditionA Complex Antecedent Condition of Two or More Simple Conditions Is Sufficient for a Consistently High Score in an Outcome Condition _ The Recipe Principle; A Model That Is Sufficient Is Not Necessary for an Outcome Having a High Score to Occur -- The Equifinality Principle. Recipes Indicating a Second Outcome (e.g., Rejection) Are Unique and Not the Mirror Opposites of Recipes of a Different Outcome (E.G., Acceptance) -- The Causal Asymmetry Principle. Management Research Methodology. Business Research Methodology. Marketing research Research Methodology. Affaires Recherche Méthodologie. Research methods: general. bicssc BUSINESS & ECONOMICS Industrial Management. bisacsh BUSINESS & ECONOMICS Management. bisacsh BUSINESS & ECONOMICS Management Science. bisacsh BUSINESS & ECONOMICS Organizational Behavior. bisacsh Business Research Methodology fast Management Research Methodology fast |
title | Bad to good : achieving high quality and impact in your research / |
title_auth | Bad to good : achieving high quality and impact in your research / |
title_exact_search | Bad to good : achieving high quality and impact in your research / |
title_full | Bad to good : achieving high quality and impact in your research / edited by Arch G. Woodside. |
title_fullStr | Bad to good : achieving high quality and impact in your research / edited by Arch G. Woodside. |
title_full_unstemmed | Bad to good : achieving high quality and impact in your research / edited by Arch G. Woodside. |
title_short | Bad to good : |
title_sort | bad to good achieving high quality and impact in your research |
title_sub | achieving high quality and impact in your research / |
topic | Management Research Methodology. Business Research Methodology. Marketing research Research Methodology. Affaires Recherche Méthodologie. Research methods: general. bicssc BUSINESS & ECONOMICS Industrial Management. bisacsh BUSINESS & ECONOMICS Management. bisacsh BUSINESS & ECONOMICS Management Science. bisacsh BUSINESS & ECONOMICS Organizational Behavior. bisacsh Business Research Methodology fast Management Research Methodology fast |
topic_facet | Management Research Methodology. Business Research Methodology. Marketing research Research Methodology. Affaires Recherche Méthodologie. Research methods: general. BUSINESS & ECONOMICS Industrial Management. BUSINESS & ECONOMICS Management. BUSINESS & ECONOMICS Management Science. BUSINESS & ECONOMICS Organizational Behavior. Business Research Methodology Management Research Methodology |
url | https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=1353296 |
work_keys_str_mv | AT woodsidearchg badtogoodachievinghighqualityandimpactinyourresearch |