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Research Methods #5
| Question | Answer |
|---|---|
| What do we do in Preliminary Considerations | we thing which information do we need |
| What are 3 types of response format | 1, open-ended questions 2,closed-ended / MC questions 3,dichotomous questions |
| What are 2 important things in MC/closed-ended questions | 1, Exhaustive = all relevant answers are covered 2,Mutually Exclusive = Answers do not overlap |
| What is Sematic differential scale (2) | 1, scale using two opposite adjectives as endpoint 2, Risky 1 2 3 4 5 6 7 Safe |
| What is constant-sum scale | scale to allocate a fixed total point (often 100) to severals attributes according to relative importance |
| What are 1,completely unstructured question 2,word association | 1,completely unstructured question = gives no predefined response structure 2,word association = aks for immediate words or idease associated with a concept |
| What is pictorial scale | uses pictures / symbols (like smiley) rather than only words/numbers |
| What 6 don´ts should we follow when forming questions | 1, Leading >> nudge toward an answer 2, Biasing >> emotionally-loaded wording 3,Implicit assumption >> assuming before asking 4,Double-barreled >> ask 2 thing at once 5,Double-Negative 6,Vague estimated >> unclear words like "often" |
| What are advantages of odd and even scales | odd scale= allows a neutral option even sclae= forces respondents to lean toward one side |
| What is principle of balance in point scales | having symmetrical number of responses on positive and negative side |
| What are 3 reason why correlation is not enough to establish causality | 1, Directionality problem (possible reverse causality) 2,Third-Variable / Common-Cause Problem 3, Confounding / Competing |
| What are 3 conditions for Causality | 1, Concomitant variation = X & Y must change together 2, Temporal Precedence = Cause must happend before the effect 3, Elimination of alternative explanations |
| What is difference between Common-cause third variable & Confounding/Competing cause | Common-Cause = A & B are both caused by C both dont influence each other Confounding = A,B & C are all influencing each other and its own causal effect cant be measured |
| How to execute an experiment to prove causality | 1, researcher manipulated an independent variable 2, select participants randomly into control group = status quo and comparation group = treatment group |
| What is also important when comparing two groups to establish causality | stardardization = hold extraneous factors constant so they do not became alternative explanation |
| What is problem when using between-subjects desing (different participarnts experience different conditions) | Groups may differ because people themselves are different |
| How to "clean" the problem of between-subject design problem | with within-subject design >> participant experience all conditions in random order |
| What is problem with within-subject design | Carry-over/Contamination effect = first condition can affect responses in the second |
| What is internal validity (2) | 1, confidence in the causal conclusion 2, study has high internal validity when alternative explanations are well conrolled |
| What is external validity | generalizability beyond the study "does this aplly elsewhere" |
| What is ecological validity (2) | 1, do findings apply to real-life situations outside the artifical research setting 2,it is narrower term for external validity |