FL2339 語言統(tǒng)計 新課程教學大綱

《語言統(tǒng)計》課程教學大綱（2020版）課程基本信息（CourseInformation）課程代碼（CourseCode）FL2339*學時（CreditHours）32*學分（Credits）2*課程名稱（CourseName）（中文）語言統(tǒng)計（英文）StatisticsforLanguageandLinguisticResearch課程類型(CourseType)必修授課對象（TargetAudience）授課語言(LanguageofInstruction)雙語*開課院系（School）外語學院先修課程（Prerequisite）后續(xù)課程

(post）*課程負責人（Instructor）徐旴課程網(wǎng)址

(CourseWebpage)*課程簡介（中文）（Description）統(tǒng)計學方法的重要性在語言和語言學的研究中日益彰顯。理解和掌握對語言數(shù)據(jù)進行統(tǒng)計分析的方法已成為研究者的一項必要技能。本課程將向?qū)W生介紹統(tǒng)計學的基本概念與原理，語言研究中所涉及的描述與推斷統(tǒng)計的基本方法，以及假設(shè)檢驗在探索語言或語言學現(xiàn)象之過程中的應用。前半部的具體課程內(nèi)容涵蓋統(tǒng)計學基本概念與原理：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。課程知識將通過講授、演示、和閱讀材料分析的方式傳授。學生將通過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，課程將采用項目實踐的考察方法，鼓勵學生將習得的統(tǒng)計知識與技能用于解讀和闡釋其專業(yè)學習或生活中所遇到的語言現(xiàn)象和問題。*課程簡介（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.課程目標與內(nèi)容（Courseobjectivesandcontents）*課程目標(CourseObject)Understandbasicconceptsindescriptiveandinferentialstatistics,andreadandpresentdataintabularandgraphicformats.Identifyandapplyproperstatisticalanalysismethodtoaresearchquestion,andcomputebasicandcomplexdescriptiveandinferentialstatisticsusingSPSS.Interpretandpresentresultsofstatisticalanalysis.*教學內(nèi)容進度安排及對應課程目標(ClassSchedule&Requirements&CourseObjectives)周教學內(nèi)容（要點）學時教學形式作業(yè)及考核要求課程思政融入點對應課程目標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：建議按照教學周周學時編排。注2：相應章節(jié)的課程思政融入點根據(jù)實際情況填寫。*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