![*scientist attitudes*
*curiosity
*objectivity
*humility
*open-mindedness
*skepticism
*serendipity
*positive attitude toward failure
*patience and perseverance
*self confidence
*intellectual honesty
*scientific intuition
*ethics
The process of science is the scientific method. This is the process of
constructing an accurate, reliable, repeatable model of the real world, by
scientists collectively working towards this goal over time.[1]
The scientific method is the complex process of "doing science", that is,
being expert in the content area and the scientific method. For the student,
this includes learning the complex subject matter of science, as well as
become well versed in designing methodologically sound scientific
experiments. The student of science must have well-developed frameworks
for both.[2]
In science, every sequence of change in a real object is process, which at
least in principle is observable using the scientific method. Therefore, all
sciences analyze processes.](https://image.slidesharecdn.com/scientistattitudes-140616042649-phpapp02/85/Scientist-attitudes-1-320.jpg)
Scientist attitudes
- 1. *scientist attitudes* *curiosity *objectivity *humility *open-mindedness *skepticism *serendipity *positive attitude toward failure *patience and perseverance *self confidence *intellectual honesty *scientific intuition *ethics The process of science is the scientific method. This is the process of constructing an accurate, reliable, repeatable model of the real world, by scientists collectively working towards this goal over time.[1] The scientific method is the complex process of "doing science", that is, being expert in the content area and the scientific method. For the student, this includes learning the complex subject matter of science, as well as become well versed in designing methodologically sound scientific experiments. The student of science must have well-developed frameworks for both.[2] In science, every sequence of change in a real object is process, which at least in principle is observable using the scientific method. Therefore, all sciences analyze processes.
- 2. 1. Observation This is the most fundamental of all of the processes. Observation may be defined as the gathering of information through the use of any one, or combination of the five basic senses; sight, hearing, touch, taste, and smell. 2. Measurement Measurement is an observation made more specific by comparing some attribute of a system to a standard of reference. An example is when the length of an object is expressed in terms of the length of a meter or when the mass of an object is expressed by referring to a standard such as a gram. Measurement and observation are the only process skills that are actually two forms of the same thing. 3. Classification Classification is the process of grouping objects on the basis of observable traits. Objects that share a given characteristic can be said to belong to the same set. The process is somewhat arbitrary depending upon the identifying trait selected. 4. Quantification Quantification refers to the process of using numbers to express observations rather than relying only on qualitative descriptions. 5. Inferring Inferring is an inventive process in which an assumption of cause is generated to explain an observed event. This is a very common function and is influenced by culture and personal theories of nature. 6. Predicting This process deals with projecting events based upon a body of information. One might project in a future tense, a sort of trend analysis, or one might look for an historical precedent to a current circumstance. In either case, the prediction emerges for a data base rather than being just a guess. A guess is not a prediction. By definition, predictions must also be testable. This means that predictions are accepted or rejected based upon observed criteria. If they are not testable they are not predictions. 7. Relationships
- 3. The process skill of relationships deals with the interaction of variables. This interaction can be thought of as a kind of influence--counter influence occurring among a system's variables. 9. Interpreting data This process refers to the intrinsic ability to recognize patterns and associations within bodies of data. Obviously there is a direct contribution of the previous process, communication, to interpreting data. The better the data is represented the more likely one will detect associations within the data. 10. Controlling variables This process is also a kind of group process because one may engage in several different behaviors in an attempt to control variables. In general, this skill is any attempt to isolate a single influent of a system so that it's role can be inferred. The process is an attempt to achieve a circumstance or condition in which the impact of one variable is clearly exposed. The use of experimental and control circumstances, standardizing procedures and repeated measures are only a few of the ways in which variables might be controlled.