Use the method of Example 1 and the LU-decomposition to solve the system
Chapter 11. More on Experimentation Highlight = Key terms Highlight = Important concepts More confounds Even in a betweensubjects “true” experiment, confounds can slip in: o Design confounds: something that inherently varies along with the independent variable. o Placebo effect: participants in a neutral control group respond to the “treatment” because they expect it to work. o Observer bias: the researcher’s expectations influence their interpretation of the results. Can occur with any observational measure. o Demand characteristics: something in the experiment allows participants to guess what the study is about and change their behavior accordingly. How can you avoid observer bias and demand characteristics o Doubleblind study: neither the participants nor the researchers know which condition the participants are in. Participant is practically blind in psychology studies, but the researcher often isn’t. Demand characteristics can still sneak in. Bad experiments One group, pretest/posttest design: one group of participants complete the dependent variable, then experience a treatment, then complete the measure again. 6 major threats to internal validity in one groups, pretest/posttest designs: o Maturation threat: a change in the dependent measure that occurs