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《语言统计》课程教学大纲(2020版)课程基本信息(CourseInformation)课程代码(CourseCode)FL2339*学时(CreditHours)32*学分(Credits)2*课程名称(CourseName)(中文)语言统计(英文)StatisticsforLanguageandLinguisticResearch课程类型(CourseType)必修授课对象(TargetAudience)授课语言(LanguageofInstruction)双语*开课院系(School)外语学院先修课程(Prerequisite)后续课程

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(CourseWebpage)*课程简介(中文)(Description)统计学方法的重要性在语言和语言学的研究中日益彰显。理解和掌握对语言数据进行统计分析的方法已成为研究者的一项必要技能。本课程将向学生介绍统计学的基本概念与原理,语言研究中所涉及的描述与推断统计的基本方法,以及假设检验在探索语言或语言学现象之过程中的应用。前半部的具体课程内容涵盖统计学基本概念与原理:包括频率分布与概率,数据的集中趋势与变异程度,以及样本与总体的关系。之后,在此基础上,课程将介绍常用的语言数据分析的方法,包括方差分析,相关,聚类,等等。课程知识将通过讲授、演示、和阅读材料分析的方式传授。学生将通过反思性讨论和软件操作的方式加深理解和掌握相关技能。同时,课程将采用项目实践的考察方法,鼓励学生将习得的统计知识与技能用于解读和阐释其专业学习或生活中所遇到的语言现象和问题。*课程简介(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.课程目标与内容(Courseobjectivesandcontents)*课程目标(CourseObject)Understandbasicconceptsindescriptiveandinferentialstatistics,andreadandpresentdataintabularandgraphicformats.Identifyandapplyproperstatisticalanalysismethodtoaresearchquestion,andcomputebasicandcomplexdescriptiveandinferentialstatisticsusingSPSS.Interpretandpresentresultsofstatisticalanalysis.*教学内容进度安排及对应课程目标(ClassSchedule&Requirements&CourseObjectives)周教学内容(要点)学时教学形式作业及考核要求课程思政融入点对应课程目标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:建议按照教学周周学时编排。注2:相应章节的课程思政融入点根据实际情况填写。*考核方式(Grading)Homeworkassignments:24%Knowledgechecks:36%Courseproject:40%*教材或参考资料(Textbooks&OtherMaterials)Recommendedbooks:Rasinger,S.(2014).QuantitativeResearchinLinguistics.(2ndEd.),BloomsburyAcademic.(ISBN10:1441117229,ISBN13:978-1441117229)Gra

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