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《語(yǔ)言統(tǒng)計(jì)》課程教學(xué)大綱(2020版)課程基本信息(CourseInformation)課程代碼(CourseCode)FL2339*學(xué)時(shí)(CreditHours)32*學(xué)分(Credits)2*課程名稱(CourseName)(中文)語(yǔ)言統(tǒng)計(jì)(英文)StatisticsforLanguageandLinguisticResearch課程類型(CourseType)必修授課對(duì)象(TargetAudience)授課語(yǔ)言(LanguageofInstruction)雙語(yǔ)*開(kāi)課院系(School)外語(yǔ)學(xué)院先修課程(Prerequisite)后續(xù)課程

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(CourseWebpage)*課程簡(jiǎn)介(中文)(Description)統(tǒng)計(jì)學(xué)方法的重要性在語(yǔ)言和語(yǔ)言學(xué)的研究中日益彰顯。理解和掌握對(duì)語(yǔ)言數(shù)據(jù)進(jìn)行統(tǒng)計(jì)分析的方法已成為研究者的一項(xiàng)必要技能。本課程將向?qū)W生介紹統(tǒng)計(jì)學(xué)的基本概念與原理,語(yǔ)言研究中所涉及的描述與推斷統(tǒng)計(jì)的基本方法,以及假設(shè)檢驗(yàn)在探索語(yǔ)言或語(yǔ)言學(xué)現(xiàn)象之過(guò)程中的應(yīng)用。前半部的具體課程內(nèi)容涵蓋統(tǒng)計(jì)學(xué)基本概念與原理:包括頻率分布與概率,數(shù)據(jù)的集中趨勢(shì)與變異程度,以及樣本與總體的關(guān)系。之后,在此基礎(chǔ)上,課程將介紹常用的語(yǔ)言數(shù)據(jù)分析的方法,包括方差分析,相關(guān),聚類,等等。課程知識(shí)將通過(guò)講授、演示、和閱讀材料分析的方式傳授。學(xué)生將通過(guò)反思性討論和軟件操作的方式加深理解和掌握相關(guān)技能。同時(shí),課程將采用項(xiàng)目實(shí)踐的考察方法,鼓勵(lì)學(xué)生將習(xí)得的統(tǒng)計(jì)知識(shí)與技能用于解讀和闡釋其專業(yè)學(xué)習(xí)或生活中所遇到的語(yǔ)言現(xiàn)象和問(wèn)題。*課程簡(jiǎn)介(英文)(Description)Statisticalmethodshavebecomeincreasinglymoreimportantinlanguageandlinguisticresearch.Theabilitytounderstand,perform,andevaluatestatisticalanalysisofempiricaldataisnowanessentialpartoftheskillsetforlanguageandlinguisticresearchers.Thiscoursecoversthebasicconceptsinstatistics,presentsdescriptiveandinferentialstatisticalmethodscommonlyusedinthefield,andintroduceshypothesistestingasanapproachofscientificinvestigationintolanguageandlinguisticphenomena.Specifictopicsincludefrequencydistributionandprobability,measuresforcentraltendencyandvariability,therelationbetweensampleandpopulation,andcommonstatisticaltestingmethodsontherelationsofvariousaspectsoflanguageandlinguisticdata,includinganalysisofvariance,correlation,clustering,etc.Coursecontentispresentedthroughacombinationoflectures,demonstrations,andreadings.Studentsdeveloptheirskillsthroughreflectivediscussionsandhands-onpractices.Inaddition,thecoursealsoaimstopromoteamonglanguagemajorsapplicationsofstatisticalmethodstoanalyzeandaddressquestionsrelatedtotheirknowledgeandexperiences.課程目標(biāo)與內(nèi)容(Courseobjectivesandcontents)*課程目標(biāo)(CourseObject)Understandbasicconceptsindescriptiveandinferentialstatistics,andreadandpresentdataintabularandgraphicformats.Identifyandapplyproperstatisticalanalysismethodtoaresearchquestion,andcomputebasicandcomplexdescriptiveandinferentialstatisticsusingSPSS.Interpretandpresentresultsofstatisticalanalysis.*教學(xué)內(nèi)容進(jìn)度安排及對(duì)應(yīng)課程目標(biāo)(ClassSchedule&Requirements&CourseObjectives)周教學(xué)內(nèi)容(要點(diǎn))學(xué)時(shí)教學(xué)形式作業(yè)及考核要求課程思政融入點(diǎn)對(duì)應(yīng)課程目標(biāo)Week1Introduction2LectureReading,softwareinstallationAnalyticalskills1Week2Frequencydistribution,centraltendency,andvariability2Lecture,softwaredemoandpracticeApplicationAttentiontodetails1,2Week3Frequencyanalysis2Lecture,softwaredemoandpracticeApplicationAnalyticalskills1,2Week4Normaldistributionandz-score2Lecture,softwaredemoandpracticeApplicationMathematicalreasoningskills1,2Week5Knowledgecheckandapplication12Assessment,guidedreadinganddiscussionReflectiveself-learningAwarenessofreal-lifeimplications1,2,3Week6Samplingdistributionandhypothesistesting2Lecture,softwaredemoandpracticeApplicationMathematicalreasoningskills1,2Week7t-test2Lecture,softwaredemoandpracticeApplicationAnalyticalskills,attentiontodetails1,2Week8ANOVA12Lecture,softwaredemoandpracticeApplicationAnalyticalskills,attentiontodetails1,2Week9ANOVA22Lecture,softwaredemoandpracticeApplicationAnalyticalskills,attentiontodetails1,2Week10Knowledgecheckandapplication22Assessment,guidedreadinganddiscussionReflectiveself-learningAwarenessofreal-lifeimplications1,2,3Week11Correlationanalysis2Lecture,softwaredemoandpracticeApplicationAnalyticalskills,attentiontodetails1,2Week12Chi-squareanalysis2Lecture,softwaredemoandpracticeApplicationAnalyticalskills,attentiontodetails1,2Week13Clusteranalysis2Lecture,softwaredemoandpracticeApplicationAnalyticalskills,attentiontodetails1,2Week14Regressionanalysis2Lecture,softwaredemoandpracticeApplicationAnalyticalskills,attentiontodetails1,2Week15Collocationstrengthanalysis2Lecture,softwaredemoandpracticeApplicationAnalyticalskills,attentiontodetails1,2Week16Knowledgecheckandapplication32Assessment,guidedreadinganddiscussionReflectiveself-learningAwarenessofreal-lifeimplications1,2,3注1:建議按照教學(xué)周周學(xué)時(shí)編排。注2:相應(yīng)章節(jié)的課程思政融入點(diǎn)根據(jù)實(shí)際情況填寫(xiě)。*考核方式(Grading)Homeworkassignments:24%Knowledgechecks:36%Courseproject:40%*教材或參考資料(Textbooks&OtherMaterials)Recommendedbooks:Rasinger,S.(2014).QuantitativeResearchinLinguistics.(2ndEd.),BloomsburyAcademic.(ISBN10:1441117229,ISBN13:978-1441117229)Gra

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