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HBO/WO

MBO

May 8, 2018

03-12: Theory - micro lecture TIME ORDER IN CAUSAL RELATIONSHIPS

In this micro lecture the following items will be explained regarding this lecture: A causal hypothesis implies a(n): association between cause and effect time order between cause and effect no third variable affecting the relationship (non spuirous)

Website

Henk van der Kolk

May 8, 2018

10-08: Data analysis (descriptive)- micro lecture INTERPRETING BIVARIATE TABLES

In this micro lecture the following items will be explained regarding this lecture: Testing a bivariate causal hypothesis means studying: Time order Correlation/association Direction/sign Strength Significance No third variable Construction of a bivariate cross table ( correlation/association, direction/sign, strenght, significance)

Website

Henk van der Kolk

May 8, 2018

11. Data analysis inference - micro lecture INTERPRETING BIVARIATE TABLES

In this micro lecture the following items will be explained regarding this micro lecture: Testing a bivariate causal hypothesis means studying: Time order Correlation/association Direction/sign Strength Significance No third variable construction of a bivariate cross table (correlation/association, direction/sign, strenght, significance)

Website

Henk van der Kolk

May 8, 2018

03-01: Theory - micro lecture CAUSALITY AND EXPLANATION

In this micro lecture the following items will be explained regarding this micro lecture: Understanding various meanings of the words 'causal explanation' Focus on three implications of general causal statements: time order, assocoation and non-spurious relationship

Website

Henk van der Kolk

May 8, 2018

10-02: Data analysis (descriptive)- micro lecture CAUSALITY AND EXPLANATION

In this micro lecture the following items will be explained regarding this lecture: Understanding various meanings of the words ‘causal explanation’. Focus on three implications of general causal statements: time order, association and non-spurious relationship.

Website

Henk van der Kolk

May 8, 2018

03-03: Theory - micro lecture INTERPRETING BIVARIATE TABLES

In this micro lecture the following items will be explained regarding this lecture: Testing a bivariate causal hypothesis means studying: time order correlation/association *direction/sign *strenght *significance no third variable

Website

Henk van der Kolk

June 10, 2022

From Idea to Study — Research Questions, Hypotheses, and Variables

Main Concepts The pathway: Idea → Research Question → Hypothesis → Variables → Design Hypothesis: a testable prediction Variables: elements of your study that can change or vary Independent variable: the factor that you manipulate in your study to investigate its effects Dependent variable: the outcome in your study which might be influenced by the independent variable Control variable: the factor in your study that you keep constant Causation vs. correlation and how design affects claims Learning Goals Formulate a specific research question from a broad idea Write a testable hypothesis aligned with measurable outcomes Identify independent, dependent and control variables for a study Distinguish between experimental and observational designs Key Takeaways Clarity grows step by step: idea → question → hypothesis → variables Keep the IV manageable and the DV aligned to the hypothesis Control what you can; state what you can’t Avoid causal language when the design doesn’t support it Variables become the backbone for design, development, and testing Further Exploration Search: “operationalizing constructs in behavioral research” Search: “experimental vs. quasi-experimental vs. observational” Search: “writing testable hypotheses examples” Search: “construct validity and measurement reliability”

Video

Lucia M Rabago Mayer, Jordi Weldink, Amanda Poulin

May 8, 2018

10-21: Data analysis (descriptive)- micro lecture VARIOUS TYPES OF BIVARIATE RELATIONSHIPS

In this micro lecture the following items will be explained regarding this lecture: Causality: Time order, Association, Non-spurious relationship. Bivariate associations between variables with various levels of measurement.

Website

Henk van der Kolk

May 8, 2018

03-13: Theory - micro lecture VARIOUS TYPES OF BIVARIATE RELATIONSHIPS

In this micro lecture the following items will be explained regarding this lecture: Causality: time order association non-spurious relationship Bivariate associations between variables with various levels of meassurement

Website

Henk van der Kolk

May 8, 2018

10-15: Data analysis (descriptive)- micro lecture THE EFFECT OF THIRD VARIABLES: ADDITION

In this micro lecture the following items will be explained regarding this lecture: Understanding the potential effect of ‘third’ variables, more specifically ‘Addition’.

Website

Henk van der Kolk