Strategies of Research Design

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Presentation transcript:

Strategies of Research Design Chapter 6 Strategies of Research Design Kelompok 3 : Rian Dwi Haryanto (12030113120072) M. Irwan Bin Sutikno (12030113140234) Akbar Bintang P (12030113140244) Arshad Suryo (12030113120026)

Triangulation Triangulation of measures Triangulation of observers Triangulation of theory Triangulation of method

Qualitative and Quantitative Orientations Nature of Data Soft data vs. hard data Assumptions of social life Positivist vs. Interpretive/critical What are we trying to accomplish in a study Hypothesis testing vs. hypothesis development Type of “logic” Systematic vs. ongoing practice

Qualitative and Quantitative Orientations Reconstructed logic and logic in practice Linear and non linear paths Objective and integrity Preplanned and emergent research questions

Ways to Select Topics Personal experience Curiosity based on media State of knowledge in the field Solving a problem Social premiums Personal values Everyday life

Narrowing a Research Question Examine literature Talk over with others Apply to a specific context Define the aim of the study

Good and Bad Research Questions

Quantitative vs. Qualitative

Qualitative Design Issues Language of cases and context Grounded theory Context is critical Bricolage Case and process Interpretation First-order interpretation Second-order interpretation Third-order interpretation

Quantitative Design Issues Language of variables and hypotheses Attribute Types of variables Independent variable (IV) Dependent variable (DV) Intervening variable

Characteristics of Causal Hypotheses At least 2 variables Expresses a cause-effect relationship Can be expressed as a prediction Logical link between hypothesis and theory Falsifiable

Testing and Refining Hypothesis

Quantitative Design Issues Language of variables and hypotheses Logic of disconfirming hypothesis Null hypothesis Alternative hypothesis Double-barreled hypothesis

Quantitative Design Issues Language of variables and hypotheses

Quantitative Design Issues Potential errors in causal explanation

Quantitative Design Issues Potential errors in causal explanation

Quantitative Design Issues Potential errors in causal explanation Spuriousness

Quantitative Design Issues Potential errors in causal explanation