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Helpful files, writing help

Helpful files, writing help
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Helpful files, writing help 654946  

Videos

Videos
Module Completed Module In Progress Module Locked
Videos 654945  
  • Attachment
    2023_3271_0807-Day1_Part2_Recording.mp4 2023_3271_0807-Day1_Part2_Recording.mp4
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  • Attachment
    2023_3271_0807-Day1_Part1_Recording.mp4 2023_3271_0807-Day1_Part1_Recording.mp4
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  • Attachment
    Baird_MethodsShortCourseDay4a_IntroMLM_Examples.Video.mp4 Baird_MethodsShortCourseDay4a_IntroMLM_Examples.Video.mp4
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  • Attachment
    Baird_MethodsShortCourseDay4a_IntroMLM.Video.mp4 Baird_MethodsShortCourseDay4a_IntroMLM.Video.mp4
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  • Attachment
    Baird_MethodsShortCourseDay3b_Experiments.Video.mp4 Baird_MethodsShortCourseDay3b_Experiments.Video.mp4
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  • Attachment
    Baird_MethodsShortCourseDay3a_Experiments.Video.mp4 Baird_MethodsShortCourseDay3a_Experiments.Video.mp4
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  • Attachment
    Baird_MethodsShortCourseDay2b_MeasurementScaling.Video.mp4 Baird_MethodsShortCourseDay2b_MeasurementScaling.Video.mp4
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  • Attachment
    Baird_MethodsShortCourseDay2a_MeasurementScaling.Video.mp4 Baird_MethodsShortCourseDay2a_MeasurementScaling.Video.mp4
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  • Attachment
    Baird_MethodsShortCourseDay2bReview.Video.mp4 Baird_MethodsShortCourseDay2bReview.Video.mp4
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  • Attachment
    Baird_MethodsShortCourseDay1a_ReviewVideo.mp4 Baird_MethodsShortCourseDay1a_ReviewVideo.mp4
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  • Attachment
    FinalizingPaperStata_OfficeHours.mp4 FinalizingPaperStata_OfficeHours.mp4
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  • Attachment
    Final_paper_discussion_office_hours.mp4 Final_paper_discussion_office_hours.mp4
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Experiments: Short course and independent study

Experiments: Short course and independent study
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Experiments: Short course and independent study 654927  

Semester's major PowerPoint Lectures

Semester's major PowerPoint Lectures
Module Completed Module In Progress Module Locked
Semester's major PowerPoint Lectures 654928  
  • Attachment
    Lecture_i.2_.pptx Lecture_i.2_.pptx
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  • Attachment
    Lecture_i.3_Logic.pptx Lecture_i.3_Logic.pptx
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  • Attachment
    Lecture_i.4_Data_statistics statements.pptx Lecture_i.4_Data_statistics statements.pptx
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  • Attachment
    Lecture_i.4_Causality.pptx Lecture_i.4_Causality.pptx
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  • Attachment
    Lecture_i.5_Causality_and_Ethics.pptx Lecture_i.5_Causality_and_Ethics.pptx
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  • Attachment
    Lecture_i.6_Logic_causality_gray_areas.pptx Lecture_i.6_Logic_causality_gray_areas.pptx
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  • Attachment
    Lecture_1.1_Data_Introduction.pptx Lecture_1.1_Data_Introduction.pptx
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  • Attachment
    Lecture_1.2_Causal_arguments.pptx Lecture_1.2_Causal_arguments.pptx
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  • Attachment
    Lecture_1.3_DSI_Concepts_Units_Variables.pptx Lecture_1.3_DSI_Concepts_Units_Variables.pptx
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  • Attachment
    Lecture_1.4_DSI_Venn_DAG_Scatter_Crosstabs.pptx Lecture_1.4_DSI_Venn_DAG_Scatter_Crosstabs.pptx
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  • Attachment
    Lecture_1.5_Advanced_Covariance_Correlation.pptx Lecture_1.5_Advanced_Covariance_Correlation.pptx
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  • Attachment
    Lecture_1.5_Covariation_correlation.pptx Lecture_1.5_Covariation_correlation.pptx
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  • Attachment
    Lecture_1.6.2_Expected_Value_Correlation_Bivariate_Regression.pptx Lecture_1.6.2_Expected_Value_Correlation_Bivariate_Regression.pptx
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  • Attachment
    Lecture_1.6.3_DSI_bivariate.pptx Lecture_1.6.3_DSI_bivariate.pptx
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  • Attachment
    Lecture_1.7_Spurious_intervening_suppression_interaction.pptx Lecture_1.7_Spurious_intervening_suppression_interaction.pptx
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  • Attachment
    Lecture_2.1_Conceptualization_validity.pptx Lecture_2.1_Conceptualization_validity.pptx
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  • Attachment
    Lecture_2.2_Index complexity.pptx Lecture_2.2_Index complexity.pptx
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  • Attachment
    Lecture_2.3_Reliability.pptx Lecture_2.3_Reliability.pptx
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  • Attachment
    Lecture_2.4_Measurement2.pptx Lecture_2.4_Measurement2.pptx
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  • Attachment
    Lecture_3.1_Trivariate.pptx Lecture_3.1_Trivariate.pptx
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  • Attachment
    Lecture_3.2_Multiple_regression_interpretation_spurious_intervening.pptx Lecture_3.2_Multiple_regression_interpretation_spurious_intervening.pptx
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  • Attachment
    Lecture_3.3_Prob_Conf_Dist_Rsquared_F.pptx Lecture_3.3_Prob_Conf_Dist_Rsquared_F.pptx
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  • Attachment
    Lecture_3.4_Dummy_Continous_Interactions.pptx Lecture_3.4_Dummy_Continous_Interactions.pptx
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  • Attachment
    Lecture_3.5_Missing.pptx Lecture_3.5_Missing.pptx
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  • Attachment
    Lecture_3.6_Semester_review2.pptx Lecture_3.6_Semester_review2.pptx
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Part i. Logic

Part i. Logic
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Part i. Logic 654929  
  • Page
    Part 1 The logic of inference Part 1 The logic of inference
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Part 1a: Introduction to simple (linear) causality

Part 1a: Introduction to simple (linear) causality
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Part 1a: Introduction to simple (linear) causality 654930  
  • Page
    Part 2: Introduction to simple (linear) causality Part 2: Introduction to simple (linear) causality
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Part 1b: Crux of the course: An introduction to the basic kinds of statistical relationships: 1) Additive, 2) Confounding, 3) Mediating, 4) Moderating, and 5) Suppression

Part 1b: Crux of the course: An introduction to the basic kinds of statistical relationships: 1) Additive, 2) Confounding, 3) Mediating, 4) Moderating, and 5) Suppression
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Part 1b: Crux of the course: An introduction to the basic kinds of statistical relationships: 1) Additive, 2) Confounding, 3) Mediating, 4) Moderating, and 5) Suppression 654931  
  • Page
    Part 3: Introduction to the crux of the course: the foundations of additive effects, confounding, mediating, and moderating Part 3: Introduction to the crux of the course: the foundations of additive effects, confounding, mediating, and moderating
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Part 2: Measurement

Part 2: Measurement
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Part 2: Measurement 654932  
  • Page
    Measurement Measurement
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Part 3: Using multiple regression to identify confounding, mediating, moderating, and cases of suppression

Part 3: Using multiple regression to identify confounding, mediating, moderating, and cases of suppression
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Part 3: Using multiple regression to identify confounding, mediating, moderating, and cases of suppression 654933  
  • Page
    Multiple regression Multiple regression
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Part 4: Caveats

Part 4: Caveats
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Part 4: Caveats 654934  
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    Caveats and implications Caveats and implications
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minimum score must view must submit must contribute