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Understanding the 'response variable' is crucial in any experimental design. In simple terms, the response variable is the primary outcome that researchers aim to analyze. It is the effect or reaction that is being studied, typically influenced by the independent variable. For instance, when assessing how quickly drivers leave parking spaces, the time each driver takes to exit is the response variable. It is a measurable change that provides valuable data for statistical analysis.

To ensure the accuracy of the experiment, the choice of response variable must be clear and consistent, with each instance of measurement standardized to prevent confusion. Accurately measuring the response variable is essential for drawing valid conclusions in any scientific inquiry.

In the realm of experimental design, 'extraneous variables' play a significant role. These are all the other variables, aside from the independent variable, that might influence the outcome of the study. For the experiment concerning the exit time of drivers from a parking space, such extraneous factors could include, but are not limited to, vehicle size, driver's mood, or even weather conditions.

Identifying these variables is a step towards a more reliable experiment as it helps researchers account for other factors that might skew results. The objective is to isolate the independent variable's effect and ensure that the response variable reflects changes due to the independent variable alone.

The concept of 'control in experiments' refers to the methodology researchers use to eliminate or reduce the impact of extraneous variables. By maintaining control, researchers aim to single out the independent variable’s effects on the response variable, allowing for a more accurate analysis. In the parking lot scenario, control could be exerted by observing at consistent times or selecting participants with similar characteristics.

Although it is often challenging to achieve perfect control, especially in natural settings, researchers strive to minimize the influence of extraneous factors. Techniques such as randomization, matching, and holding certain factors constant are among the strategies used to maintain control within an experimental framework.

When researchers conduct a 'naturalistic observation', they observe and record behavior in its natural environment, without manipulation or intervention. This method is distinguished by its non-intrusive nature; the observer takes a passive role, simply gathering data as actions occur spontaneously. For our investigation into parking behaviors, a naturalistic observation would imply watching drivers without them being aware of the study, hence capturing genuine behavior.

One of the strengths of naturalistic observation is its ability to provide insights into complex social behaviors, but it can also introduce challenges in controlling extraneous variables. Despite these challenges, the depth of real-world context it provides can be invaluable to understanding human behavior.