- 1 Readings
- 2 Reading Critiques
- 2.1 Jonathan Hanobik 16:42:42 2/16/2017
- 2.2 John Ha 10:09:19 2/17/2017
- 2.3 Vivien Chang 15:21:52 2/17/2017
- 2.4 Kyle Plump 11:15:11 2/18/2017
- 2.5 Nick Miller 18:00:28 2/18/2017
- 2.6 Timothy Smith 22:28:08 2/18/2017
- 2.7 Emily Hanna 12:28:13 2/19/2017
- 2.8 Chevaughn Berry 13:45:13 2/19/2017
- 2.9 JasonTucker 21:42:13 2/19/2017
- 2.10 Chad Pongratz 10:33:43 2/20/2017
- 2.11 Damani Brown 18:44:50 2/20/2017
- 2.12 Louis Seefeld 20:03:21 2/20/2017
- 2.13 Spencer Cousino 20:16:27 2/20/2017
- 2.14 Brett Schuck 21:06:19 2/20/2017
- 2.15 Jason Ly 0:11:16 2/21/2017
- 2.16 Christopher Thompson 0:34:57 2/21/2017
- 2.17 Michael Zheng 0:56:10 2/21/2017
- 2.18 Raj Patel 1:51:39 2/21/2017
- 2.19 Ben Kristofic 2:34:37 2/21/2017
- 2.20 Paul Davis 2:58:37 2/21/2017
- 2.21 Sakae Nakahara 8:39:12 2/21/2017
- 2.22 Zhenya Lindsay 8:44:10 2/21/2017
- 2.23 Anthony Tummillo 8:53:25 2/21/2017
- How To Do Experiments. Doing Psychology Experiments. Chap 2. Martin.
Jonathan Hanobik 16:42:42 2/16/2017
Today's reading dealt with the psychology of experiments. Within an experiment, there are many factors that are occurring that can hinder the experimenter's observance of a relationship. I must admit that I was already familiar with some of the terms, such as independent variable, dependent variable, and control variables. However, topics such as external/internal validity and confounding variables were new to me. I would say that the exposure to these new topics within the field of experimentation and psychology only helped to make me more aware when conducting tests. Overall, an experimenter wants to be sure that the relationship between independent and dependent variable is not affected by any other entity, while making sure that the results of a given experiment can be generalized for other similar situations. If anything, I learned that those who conduct an experiment must walk a fine line in making sure that they collect the right data in a way that will allow them to share their results and observations with others in a general situation.
John Ha 10:09:19 2/17/2017
For today's reading, it talks about how to start an experiment and all the things you need to do so. You need to be able to identify your variables: independent, dependent, control, random, constrained random, and confounding variables.The readings uses the variation of light example to explain these. Confounding variables are a threat to internal validity, along with a variety of other threats that the experimenter must look at when conducting an experiment.
Vivien Chang 15:21:52 2/17/2017
This reading was a nice overview about conducting experiments. It reminded me of when I learned about the different types of variables and the hypothesis during science classes in middle school and high school. However, concepts such as internal validity and threats to internal validity were new to me, so it was interesting to read how these things are involved when conducting experiments.
Kyle Plump 11:15:11 2/18/2017
This reading was how to effectively conduct experiments, and the benefits and potential pitfalls of doing so. I think that the process described in the reading, and the different things they mentioned to look out for (the whole section on threats to internal validity) would be helpful in conducting our benchmark tests for group assignment 3. If anything, this article would help with setting up our testing environment, like defining variables, etc.
Nick Miller 18:00:28 2/18/2017
In the reading for today the passage is about how to deal with doing an experiment and what different things can affect the results. The first part of the passage deals with the different types of variables that can be involved in an experiment, these being: independent variables, dependent variables, controlled variables, random variables, and different forms of constraints that can be applied to an experiment. The second part of the reading debt with threats to internal validity. I found that the most un-thought-about part in this passage to be the part when describing how mortality, or when a user drops out of the experiment, can effect the experiments results. The passage then gives a summary of the experimental method and a summary of the whole passage.
Timothy Smith 22:28:08 2/18/2017
This was an interesting read, as it was informative in pointing out helpful facts about carrying out experiments. Different types of variables and their purposes were helpful in understanding how to do experiments. Also, it was good to learn of threats to internal validity. Some of the threats were somewhat surprising, but when explained, made more sense. Overall, I have more understanding on what factors to pay attention to, and what factors need more care than others.
Emily Hanna 12:28:13 2/19/2017
This weeks reading was about the experimental method. It went on to explain the basic concepts used in an experiment such as independent and dependent variables. And it explained things that are important to keep in mind while performing an experiment such as control groups and eliminating confounding variables. There are a multitude of other things that will affect the outcome of an experiment that this reading goes on to discuss.
Chevaughn Berry 13:45:13 2/19/2017
The experimental method is helpful for making casual statements about how manipulating one condition, the independent variable, can lead to changes in another condition, the dependent variable. There are other variables that have to be considered that affect the outcome and validity of the experiment as well, including the presence of random, control or confounding variables. The are other factors such as history, selection and mortality that also affect the internal validity of an experiment.
JasonTucker 21:42:13 2/19/2017
This reading is about how to do experiments. It goes over some concepts such as different kinds of variables and how they play into experimentation. It goes over maturity and testing. These are all important concepts to ensure the validity of a project.
Chad Pongratz 10:33:43 2/20/2017
This article discussed the experimental method and how using it allows one to place a casual statement in a more proper framing in where one can state that given a manipulation to a scenario, there will be an effect. They go on to describe that the circumstance being manipulated is called the IV (Independent variable), and the measured result is the DV (Dependent variable). There exist however other circumstances called control variables, which can be set to a particular level and not allowed to change. There also exists a self explanatory set of variables called random variables...By describing the experimental method and methodically laying out the essential terms needed in understanding said method, this article did a very good job at relaying knowledge on how to go about performing an experiment for data collection as to base decisions or thoughts off of.
Damani Brown 18:44:50 2/20/2017
This reading talked a lot about how to run a successful experiment by controlling the proper variables, and allowing others to be randomized. More importantly, the author points out the commons errors and biases that can lead to erroneous conclusions. This information can be useful to our group projects because we can test our app from an unbiased perspective, and help us to learn more about how users can benefit from it.
Louis Seefeld 20:03:21 2/20/2017
The reading presented good explanations and strong examples that enforced and refreshed what I understood about experiments to begin with. It also included more terms that I had not previously been aware of and presented them in a way that was very understandable and not too lengthy.
Spencer Cousino 20:16:27 2/20/2017
In both high school and college I had taken Statistics course which covered all the material in the reading. While I didn't learn anything knew, it was a very good refresher on the concepts and definitions I had previously learned. The usage of examples and simple language offered an easy read.
Brett Schuck 21:06:19 2/20/2017
Today's reading was an in depth breakdown of the Experimental Method. I found this reading to be fairly straight forward but still rather interesting because it was information that has been presented to me in other courses and in other contexts, but also explored some more specific topics that I was more unfamiliar with. One example of a topic that was covered in more detail in this reading was some of the "Threats to Internal Validity" as Martin called it. In other courses we talked very vaguely about some of the possible biases which can skew data unintentionally, but the topic was never explored in detail. In this reading Martin goes into some examples of these possible unforeseen variables and explains how they could potentially damage the validity of an experiments results.
Jason Ly 0:11:16 2/21/2017
The reading went over the differences between different types of variables and the threats to internal validity. The differences between independent, dependent, control, random and confounding variables reviewed what I had learned from previous statistic and science courses. I thought the descriptions of different threats to internal validity was insightful. Out of the listed threats to internal validity, I thought selection was one of the most relevant topics for the next group assignment. We are selecting and searching for willing participants to test out our paper prototype. As stated in the selection section, willing participants might behave completely different to individuals that refused to participate. Also we should consider performing our tests away from other potential participants to prevent them from learning our experimental method and using that prior knowledge to perform and navigate through our paper prototype more smoothly.
Christopher Thompson 0:34:57 2/21/2017
It was really interesting to think about how many variables go into this process and how they interact with each other. I definitely wouldn't have thought of this when thinking about people.
Michael Zheng 0:56:10 2/21/2017
The reading was very helpful in establishing the proper guidelines for conducting an experiment. Even though I believe that it is impossible to not have any confounding variables, one can minimize the chances of them appearing to the point where the study can be considered mostly valid. I also think that it is because of this possibility of random human error that new and creative ways to conduct experiments can be explored.
Raj Patel 1:51:39 2/21/2017
The reading was very enlightening. It discussed the basics of setting up a psychological experiment, with quantitative data sets. It also spoke of testing conditions such as confounding variables, which I found to be relevant because this principle can applied to our project.
Ben Kristofic 2:34:37 2/21/2017
This reading discussed the idea of experiments, and discussed the details of a well designed experiment. It went further in depth with the different aspects of an experiment, such as variables, working with the data, etc - but it also discussed how these things can be looked at from a psychological point of view.
Paul Davis 2:58:37 2/21/2017
This article went into a lot of depth and specifics on the topic of experiments. I was very familiar with certain parts of the material, it is the kinds of thing that have been ingrained in me from an early age in science classes. But as it progressed, it started talking about some really interesting aspects of experiments and really gave a though background on thinking of them in a holistic manor. Keeping these ideas in mind will be very helpful as we do out own testing and experiments on our apps to see how to best tailor them to the user.
Sakae Nakahara 8:39:12 2/21/2017
Having taken psychology in high school, in addition to the various traditional sciece classes, I was already familiar with much of the information about the experimental method in this week's reading. The most significant take away for me were the various additional terms that could apply to a phenomenon. Perhaps due to the academic level of the class, perhaps simply due to forgetfulness, but while I'm familiar with the concept of an unintended variable that changed with the independent variable, this is the first time I've heard it be described as a confounding variable.
Zhenya Lindsay 8:44:10 2/21/2017
I found it very interesting to read about confounding variable. I think that even in major psychological studies that I read today, it seems like the researches are forgetting (most likely on purpose) about this variable to make sure that their tests fit their projections (or projections of those who paid for the tests). At least I hope they try to preserve internal validity of their studies. This article showed that making a perfect study is almost impossible and although we should listen to their results, we should always take them with a grain of salt
Anthony Tummillo 8:53:25 2/21/2017
Coming from a more scientific background - I used to be a bioinformatics major - this was a very refreshing review. It was a good change of pace from the last few incredibly technical readings. Taking a step back to refocus on proper experimentation techniques and their various aspects (independent vs dependent variable, confounding variables, etc.) is quite helpful considering how tightly focused we've been in lecture recently.