HD FS 229 Lecture Notes - Lecture 4: Blood Pressure, Apache Hadoop, Heritability
1 Sep 2016
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Small snapshot of participants" feelings: could be feeling that way at that moment only. Fatigue: so many questions biases the data. Measure physical responses/reactions: connect to individual"s minds. Measuring heart rate: increase in heart rate child is scared (fear, blood pressure distress/anxiety, hormone levels. Types: fmri (functional): scans brain/3d image. Can be scary for a kid/need to sit still: eeg. White parts of brain active at different times: nirot. Combine benefits of mri & mobility built into eeg (advanced: problems: fmri is expensive. When making assumption based on physical responses, assumptions can be wrong. Ex: heart rate could be due to fear/excitement. Correlational design: correlation does not equal causation. Correlation: changes in x seem to be related to changes in y. Causation: changes in x leading to/causing changes in y: missing 2 key components. Random assignment of participants: confounding variables. True experiment: ideal in studying human behavior, can say x causes y, manipulation of variables, especially x (iv)
