Request to Link Back

2020-09-29 Thread Schneider Electric
Schneider Electric

Hi There,

I hope this e-mail finds you well.

I wanted to thank you for linking to our site. However, our link on your 
website has been removed. We request to restore the link back.

Here is the info…

My website is linked on your website here: *|REFPAGE|*
Anchor Tag: http://www.schneider-electric.com/

Link need to be restored: *|LINKR|*

If you could please send a confirmation note letting me know that the link has 
been restored, I would really appreciate it.

Please let me know, once removed.

Thanks & Regards,



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Subscription probe for FMPRO-L - please ignore

2020-09-29 Thread LISTSERV.DARTMOUTH.EDU LISTSERV Server (17.0)


Tue, 29 Sep 2020 06:00:14

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Invitation to Research Design,ODK mobile data collection,GIS data mapping,Data analysis using NVIVO and R training

2020-09-29 Thread FDC Training
Title: Invitation to Research Design,ODK mobile data collection,GIS data mapping,Data analysis using NVIVO and R   training









Research Design, mobile data collection and mapping and Data analysis using NVIVO and R course-Nov 09 to Nov 20,2020 for 10DaysRegister for online Training's or normal training and upcoming trainings on the sameDownload PDF CalendarFoscore Development Center INTRODUCTIONNew developments in data science offer a tremendous opportunity to improve decision-making. In the development world, there has been an increase in the number of data gathering initiative such as baseline surveys, Socio-Economic Surveys, Demographic and Health Surveys, Nutrition Surveys, Food Security Surveys, Program Evaluation Surveys, Employees, customers and vendor satisfaction surveys, and opinion polls among others, all intended to provide data for decision making.It is essential that these efforts go beyond merely generating new insights from data but also to systematically enhance individual human judgment in real development contexts. How can organizations better manage the process of converting the potential of data science to real development outcomes This ten days hands-on course is tailored to put all these important consideration into perspective. It is envisioned that upon completion, the participants will be empowered with the necessary skills to produce accurate and cost effective data and reports that are useful and friendly for decision making.It will be conducted using ODK, GIS, NVIVO and RDURATION2 WeeksLEARNING OBJECTIVESUnderstand and appropriately use statistical terms and conceptsDesign and Implement universally acceptable SurveysConvert data into various formats using appropriate softwareUse mobile data gathering tools such as Open Data Kit (ODK)Use GIS software to plot and display data on basic mapsQualitative data analysis using NVIVOAnalyze t data by applying appropriate statistical techniques using RInterpret the  statistical analysis using RIdentify statistical techniques a best suited to data and questionsStrong foundation in fundamental statistical conceptsImplement different statistical analysis in R and interpret the resultsBuild intuitive data visualizationsCarry out formalized hypothesis testingImplement linear modelling techniques such multiple regressions and GLMsImplement advanced regression analysis and multivariate analysisWrite reports from survey dataPut strategies to improve data demand and use in decision makingWHO SHOULD ATTEND?This is a general course targeting participants with elementary knowledge of Statistics from Agriculture, Economics, Food Security and Livelihoods, Nutrition, Education, Medical or public health professionals among others who already have some statistical knowledge, but wish to be conversant with the concepts and applications of statistical modeling.TOPICS TO BE COVEREDModule1: Basic statistical terms and conceptsIntroduction to statistical conceptsDescriptive StatisticsInferential statisticsModule 2:Research DesignThe role and purpose of research designTypes of research designsThe research processWhich method to choose?Exercise: Identify a project of choice and developing a research designModule 3: Survey Planning, Implementation and CompletionTypes of surveysThe survey processSurvey designMethods of survey samplingDetermining the Sample sizePlanning a surveyConducting the surveyAfter the surveyExercise: Planning for a survey based on the research design selectedModule 4:IntroductionIntroduction to Mobile Data gatheringBenefits of Mobile ApplicationsData and types of DataIntroduction to common mobile based data collection platformsManaging devicesChallenges of Data CollectionData aggregation, storage and disseminationTypes of questionsData types for each questionTypes of questionnaire or Form logicExtended data types geoid, image and multimediaModule 5:Survey AuthoringDesign forms using a web interface using:ODK BuildKoboformsPurcFormsHands-on ExerciseModule 6:Preparing the mobile phone for data collectionInstalling applications: ODK CollectUsing Google playManual install (.apk files)Configuring the device (Mobile Phones)Uploading the form into the mobile devicesHands-on ExerciseModule 7:Designing forms manually: Using XLS FormsIntroduction to XLS forms syntaxNew data typesNotes and datesMultiple choice QuestionsMultiple Language SupportHints and MetadataHands-on ExerciseModule 8:Advanced survey AuthoringConditional Survey BranchingRequired questionsConstraining responsesSkip: Asking Relevant questionsThe specify otherGrouping questionsSkipping many questions at once (Skipping a section)Repeating a set of questionsSpecial formattingMaking dynamic calculationsModule 9:Hosting survey data (Online)ODK AggregateFormhubona.ioKoboToolboxUploading forms to the serverMod