MARC record from Internet Archive

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001 ocn816160779
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005 20200705195548.0
008 121217s2013 enka b 001 0 eng
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050 00 $aHD30.4$b.S435 2013
082 00 $a650.072$223
084 $a85.03$2bcl
100 1 $aSekaran, Uma.
245 10 $aResearch methods for business :$ba skill-building approach /$cUma Sekaran and Roger Bougie.
250 $a6th ed.
260 $aChichester, West Sussex :$bWiley,$c©2013.
300 $axxi, 423 pages :$billustrations ;$c24 cm
336 $atext$btxt$2rdacontent
337 $aunmediated$bn$2rdamedia
338 $avolume$bnc$2rdacarrier
504 $aIncludes bibliographical references and index.
520 8 $aThis text offers a framework for conducting research in a scientific manner for all areas of business. Students learn how to develop practical knowledge and skills to understand and carry out research projects.
505 0 $6880-01$a1. Introduction to research -- 2 The scientific approach and alternative approaches to investigation -- 3 The broad problem area and defining the problem statement -- 4 The critical literature review -- 5 Theoretical framework and hypothesis development -- 6. Elements of research design -- 7. Data collection methods: Introduction and interviews -- 8 Data collection methods: Observation -- 9.9 Data collection methods: Questionnaires -- 10. Experimental designs -- 11. Measurement of variables: Operational definition -- 12. Measurement: Scaling, reliability, validity -- 13. Sampling -- 14. Quantitative data analysis -- 15. Quantitative data analysis: Hypothesis testing -- 16. Qualitative data analysis -- 17. The research report.
650 0 $aBusiness$xResearch$xMethodology.
650 7 $aBusiness$xResearch$xMethodology.$2fast$0(OCoLC)fst00842375
650 17 $aOnderzoeksmethoden.$2gtt
650 17 $aBedrijfskunde.$2gtt
700 1 $aBougie, Roger.
776 08 $iOnline version:$aSekaran, Uma.$tResearch methods for business$b6th ed.$w(DLC) 2013001359$dHoboken, NJ : Wiley, c2013$z9781118527726
880 00 $6505-01/(S$gContents note continued:$tReflective versus formative measurement scales --$tWhat is a reflective scale--$tWhat is a formative scale and why do the items of a formative scale not necessarily hang together--$tSummary --$tDiscussion questions --$tAppendix: Examples of some measures --$tMeasures from behavioral finance research --$tMeasures from management accounting research --$tMeasures from management research --$tMeasures from marketing research --$g13.$tSampling --$tPopulation, element, sample, sampling unit, and subject --$tPopulation --$tElement --$tSample --$tSampling unit --$tSubject --$tParameters --$tReasons for sampling --$tRepresentativeness of samples --$tNormality of distributions --$tThe sampling process --$tDefining the population --$tDetermining the sample frame --$tDetermining the sampling design --$tDetermining the sample size --$tExecuting the sampling process --$tProbability sampling --$tUnrestricted or simple random sampling --$tRestricted or complex probability sampling --$tSystematic sampling --$tStratified random sampling --$tCluster sampling --$tDouble sampling --$tReview of probability sampling designs --$tNonprobability sampling --$tConvenience sampling --$tPurposive sampling --$tJudgment sampling --$tQuota sampling --$tReview of nonprobability sampling designs --$tExamples of when certain sampling designs would be appropriate --$tSimple random sampling --$tStratified random sampling --$tSystematic sampling --$tCluster sampling --$tArea sampling --$tDouble sampling --$tConvenience sampling --$tJudgment sampling: one type of purposive sampling --$tQuota sampling: a second type of purposive sampling --$tSampling in cross-cultural research --$tIssues of precision and confidence in determining sample size --$tPrecision --$tConfidence --$tSample data, precision, and confidence in estimation --$tTrade-off between confidence and precision --$tSample data and hypothesis testing --$tDetermining the sample size --$tImportance of sampling design and sample size --$tEfficiency in sampling --$tSampling as related to qualitative studies --$tManagerial implications --$tSummary --$tDiscussion questions --$g14.$tQuantitative data analysis --$tGetting the data ready for analysis --$tCoding and data entry --$tCoding the responses --$tData entry --$tEditing data --$tData transformation --$tGetting a feel for the data --$tFrequencies --$tBar charts and pie charts --$tMeasures of central tendency and dispersion --$tMeasures of central tendency --$tMeasures of dispersion --$tRelationships between variables --$tRelationship between two nominal variables: χ2 test --$tCorrelations --$tExcelsior Enterprises: descriptive statistics part 1 --$tTesting goodness of data --$tReliability --$tExcelsior Enterprises: checking the reliability of the multi-item measures --$tValidity --$tExcelsior Enterprises: descriptive statistics part 2 --$tSummary --$tDiscussion questions --$g15.$tQuantitative data analysis: Hypothesis testing --$tType I errors, type II errors, and statistical power --$tChoosing the appropriate statistical technique --$tTesting a hypothesis about a single mean --$tTesting hypotheses about two related means --$tTesting hypotheses about two unrelated means --$tTesting hypotheses about several means --$tRegression analysis --$tStandardized regression coefficients --$tRegression with dummy variables --$tMulticollinearity --$tTesting moderation using regression analysis: interaction effects --$tOther multivariate tests and analyses --$tDiscriminant analysis --$tLogistic regression --$tConjoint analysis --$tTwo-way Anova --$tManova --$tCanonical correlation --$tExcelsior Enterprises: hypothesis testing --$tOverall interpretation and recommendations to the president --$tData warehousing, data mining, and operations research --$tSome software packages useful for data analysis --$tSummary --$tDiscussion questions --$g16.$tQualitative data analysis --$tData reduction --$tCase: Instigations of customer anger --$tData display --$tDrawing conclusions --$tReliability and validity in qualitative research --$tSome other methods of gathering and analyzing qualitative data --$tContent analysis --$tNarrative analysis --$tAnalytic induction --$tSummary --$tDiscussion questions --$g17.$tThe research report --$tThe written report --$tThe purpose of the written report --$tThe audience for the written report --$tCharacteristics of a well-written report --$tContents of the research report --$tIntegral parts of the report --$tThe title and the title page --$tThe executive summary or abstract --$tTable of contents --$tList of tables, figures, and other materials --$tPreface --$tThe authorization letter --$tThe introductory section --$tThe body of the report --$tThe final part of the report --$tReferences --$tAppendix --$tOral presentation --$tDeciding on the content --$tVisual aids --$tThe presenter --$tThe presentation --$tHandling questions --$tSummary --$tDiscussion questions --$tAppendix: Examples --$gReport 1$tSample of a report involving a descriptive study --$gReport 2$tSample of a report offering alternative solutions and explaining the pros and cons of each alternative --$gReport 3$tExample of an abridged basic research report.
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