Systematic Observation In Systematic Observation

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Systematic observations consist of clearly outlined procedures, controlled sampling and predetermined recording methods. They make up a subset of naturalistic observations. Miller (1977) defines systematic observation as the addition of quantification to naturalistic investigations. Since a measurement scale is usually chosen before quantitative data is collected, the systematic method involves more planning in regards to what behaviors will get observed. The time and place for an observation are always determined prior to the observation and the observer must establish a specific operational definition for the targeted behavior, e.g. smiling is used as an indicator of joy. Systematic methods typically use coding systems to measure the frequency of particular behaviors. Some researchers develop their own coding system to fit their research, The statistically based conclusions of systemic observation often contain less post-observation bias than naturalistic observations; it can be challenging to separate one’s interpretation of what was observed from what was actually observed. Contrarily, since hypotheses are constructed prior to observation, systemic observation may exclude important information that naturalistic observations include. According to Cozby (2009), systemic observers may face validity issues associated with their equipment; it would be difficult to accurately observe and record at the same time without the use of camera or audio recording device. Similar to naturalistic observation, the researcher must is, optimally, a covert observer; by having an observer watch the participants, the participants might change their behavior. Sampling of behaviors for a short amount of time might also be an issue because it is less accurate and useful than long period

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