Monday, September 30, 2013

Psy/360 - Cognitive Psychology




Cognitive Psychology

Cognitive psychology can be defined as the field of psychology that analyses and studies mental processes. These processes include the functioning behind how people think, learn, memorize and observe the world around them. Cognitive psychology has as some of its primary focuses the way people acquire process and store the information they receive on a daily basis. Some of the practical applications for this branch of psychology include helping patients improve their memory, facilitating the learning process or improving someone’s decision making skills. Before the upcoming of cognitive psychology, in the 50s, behaviorism was the predominant school of thought. However, between 1950 and 1970, the primary focus of psychology began to change to issues related to attention, problem-solving and memory. All the research and new information that surfaced during this period, contributed for it to be referred as the “cognitive revolution” (Cherry, 2012). Some of the major topics studied by Cognitive Psychology are perception, attention, language, memory, problem-solving, and intelligence. Some of the most important contributors in the history of Cognitive Psychology are Gustav Fechner, Wilhelm Wundt, Edward B. Titchener and James William (Anderson, 2005).

            Cognitive psychology was highly influenced by many different thinkers and periods. For instance, it is possible to travel back to ancient Greece, where Greek philosophers like Plato started building the foundations for what wo9uld eventually become Cognitive Psychology. Plato had the understanding that we see objects not necessarily as their concrete form, but in the abstract ideas that they represent. He also started that true knowledge could only be found by logically analyzing events. Similarly, Aristotle had comparable beliefs, like the idea that experience and observation were the only ways to find true knowledge.

            Moving past the Greek philosophers and into more “modern” thinkers, one can consider the thoughts of Rene Descartes as another milestone in the history of Cognitive Psychology, since his principles of dualism and his ideas about rationalist were crucial in the development of this branch of psychology as a practice. Descartes, with his nativist ideas, believed that children were born with some innate knowledge. However, John Locke soon refused this principle, with his famous concepts of the “tabula rasa”, or blank slate. Locke believed that children were born without any knowledge, and they would learn everything from the environment (Cherry, 2013).

            There is some argument regarding who the real “father” of cognitive psychology is, but it is impossible to not recognize Wilhelm Wundt as a crucial figure, as he was one of the first psychologists to study was is today considered cognitive psychology. Thanks to him and his studies on introspection, cognitive psychologies gained some popularity in Europe and acquire more followers. Thinkers like Jean Piaget, Frederick Barlett and Alexander Luria started to not only study, but also to make advances in the new field of cognitive psychology. At this time, behaviorism was still the most popular school of thought in the United States, but because of the Second World War, many psychologists in Europe migrated to America, which contributed to the popularity of new fields of psychology (Anderson, 2005). 

            Towards the end of the Second World War, cognitive psychology finally debuted as an official field of psychology, as its principles were used as a way to help soldiers learn new techniques and equipment uses. At this time, another milestone in cognitive psychology occurred with the publication of George A. Miller’s paper, “The Magical Number Seven, Plus or Minus 2”. Miller changed forever the world of psychology by suggesting and proving that although the human mind can’t be seen in a microscope, can still be studied, analyzed, and tested in a laboratory. One of his revolutionary ideas was the concept that when asked to recall a list of random items, people often remember more or less seven, proving that our short term memory can store an average of seven items. He also showed that human beings can retain a little information about a lot of things, as opposed to a lot of information about not so many things. His important conclusion after this line of thought was that the human brain was capable of processing a lot of information, other than obeying rules, which made it possible to be studied (Vitello, 2012).

            Cognitive psychology remains, to this day, as an important field of psychology. Studying the human mind and the way it works is not an easy task, and because of that behavioral observation is a crucial element in the quest to understand the mind. Without behavioral observation, scientists and psychologists are left with only experimental studies, but the human mind can be a subjective matter. Cognitive psychology is a very inferential matter, and by observing the human behavior, psychologists are able to make conclusions and learning processes and other abstract mechanisms in the brain.



References
Anderson, J.R. 2005. "Cognitive psychology and its implications." Rev. Ed. Retrieved from http://books.google.com/books?hl=en&lr=&id=9P4p6eAULMoC&oi=fnd&pg=PP15&dq=%22Anderson%22+%22Cognitive+psy chology+and+its+implications:+John+R.+Anderson%22+&ots=S7EdQGdAvm&sig=fB1BaN1lpmGf4hXT8bRZ_MkALKY#v=onepage&q=%22Anderson%22%20%22Cognitive%20psychology%20and%20its%20implications%3A%20John%20R.%20Anderson%22&f=false
Cherry, K. (2013). What is Cognitive Psychology? . Retrieved from http://psychology.about.com/od/cognitivepsychology/f/cogpsych.htm?p=1
Vitello, P. (2012). George A. Miller, a pioneer in cognitive psychology, is dead at 92. Retrieved from http://www.nytimes.com/2012/08/02/us/george-a-miller-cognitive-psychology-pioneer-dies-at-92.html?pagewanted=all&_r=0

Psy/315 - Text Assignments



11.   List the five steps of hypothesis testing, and explain the procedure and logic of each.
1. Restate the question as a research hypothesis and a null hypothesis about the populations.
2. Determine the characteristics of the comparison distribution.
The comparison distribution is the distribution that represents the population situation if the null hypothesis is true, so this step is important because the main point of hypothesis testing is figuring out the probability of getting a particular result if the null hypothesis is true.
3. Determine the cutoff sample score on the comparison distribution at which the null hypothesis should be rejected. Finding the cutoff sample score means determining a target against which the results will be compared, or how extreme the sample score would have to be for it to be too unlikely that they could get such an extreme score if the null hypothesis were true.
4. Determine your sample’s score on the comparison distribution.
This step is to get the actual results for the sample. Once you have the results for your sample you figure the Z score for the sample’s raw score.
5. Decide whether to reject the null hypothesis.
Compare the sample’s Z score to the cutoff Z score and decide whether to reject the null hypothesis.

14. Based on the information given for each of the following studies, decide whether to reject the null hypothesis. For each, give (a) the Z-score cutoff (or cutoffs) on the comparison distribution at which the null hypothesis should be rejected, (b) the Z score on the comparison distribution for the sample score, and (c) your conclusion. Assume that all populations are normally distributed.
A)
a) 1.645
b) 2
c) Reject Ho
B)
a) 1.96
b) 2
c) Reject Ho
C)
a) 2.3263
b) 2
c) Fail to reject Ho
D)
a) 2.576
b) 2
c) Fail to reject Ho

18. A researcher predicts that listening to music while solving math problems will make a particular brain area more active. To test this, a research participant has her brain scanned while listening to music and solving math problems, and the
brain area of interest has a percentage signal change of 58. From many previous
studies with this same math problems procedure (but not listening to music), it is
known that the signal change in this brain area is normally distributed with a
mean of 35 and a standard deviation of 10. (a) Using the .01 level, what should
the researcher conclude? Solve this problem explicitly using all five steps of hypothesis testing, and illustrate your answer with a sketch showing the comparison distribution, the cutoff (or cutoffs), and the score of the sample on this distribution. (b) Then explain your answer to someone who has never had a course in statistics (but who is familiar with mean, standard deviation, and Z scores).
a) H0: Music has no effect on Math problem solving skills, or, m ≤ 35   
H1: Music increases the Math problem solving skills, or, m > 35   
b) Upper-tailed z- test for a mean      
Critical z- score for a = 0.01 is z = 2.3263      
Decision rule: Reject H0 if the test z- score > 2.3263.     
c) z = (x - m)/s = (58 - 35)/10 = 2.30      
d) Since 2.30 < 2.3263, we fail to reject H0     
e) Conclusion: There is no sufficient statistical evidence that music increases the Math problem solving skills.

References
Aron, A., Aron, E. N., & Coups, E. J. (2009). Statistics for psychology (5th ed.). Upper Saddle River, NJ: Pearson/Prentice Hall.

Psy/315 - Text Assignments




Chapter 2
11) For the following scores, find the (a) mean, (b) median, (c) sum of squared deviations, (d) variance, and (e) standard deviation:
2, 2, 0, 5, 1, 4, 1, 3, 0, 0, 1, 4, 4, 0, 1, 4, 3, 4, 2, 1, 0
a) (2+2+0+5+1+4+1+3+0+0+1+4+4+0+1+4+3+4+2+1+0)/21=2
b) median value: 2
c) (2-2)2+(2-2)2+(0-2)2+(5-2)2+(1-2)2+(4-2)2+(1-2)2+(3-2)2+(0-2)2+(0-2)2+(1-2)2+(4-2)2+(4-2)2+(0-2)2+(1-2)2+(4-2)2+(3-2)2+(4-2)2+(2-2)2+(1-2)2+(0-2)2 = 56
d) 56/21 = 2.667
e) SQRT (2.667) = 1.633

12) For the following scores, find the (a) mean, (b) median, (c) sum of squared deviations, (d) variance, and (e) standard deviation:
1,112; 1,245; 1,361; 1,372; 1,472
a) (1112+1245+1361+1372+1472)/5=1312.4
b) 1361
c) (1112-1312.4)² + (1245-1312.4)² + (1361-1312.4)² + (1372- 1312.4)² + (1472-1312.4)² = 76089.2
d) 76089.2/5=15217.84
e) SQRT (15217.84) = 123.361









13) For the following scores, find the (a) mean, (b) median, (c) sum of squared deviations, (d) variance, and (e) standard deviation:
3.0, 3.4, 2.6, 3.3, 3.5, 3.2
a) (3+3.4+2.6+3.3+3.5+3.2)/6=3.167
b) 3.25
c) (3.0-3.167)² + (3.4-3.167)² + (2.6-3.167)² + (3.3- 3.167)² + (3.5-3.167)² + (3.2-3.167)² = 0.533
d) 0.53/6=0.089
e) SQRT (0.089) = 0.298

16) A psychologist interested in political behavior measured the square footage of the desks in the official office of four U.S. governors and of four chief executive officers (CEOs) of major U.S. corporations. The figures for the governors were 44, 36, 52, and 40 square feet. The figures for the CEOs were 32, 60, 48, and 36 square feet. (a) Figure the means and standard deviations for the governors and for the CEOs. (b) Explain, to a person who has never had a course in statistics, what you have done. (c) Note the ways in which the means and standard deviations differ, and speculate on the possible meaning of these differences, presuming that they are representative of U.S. governors and large corporations’ CEOs in general.
a) Governors: 36; 44; 52; 40
Mean: 43
Standard deviation: 6.83
CEOs: 32; 60; 48; 36
Mean: 44
Standard deviation: 12.65
b) We have just found the average measurements of the desks of the governors and CEOs in major US corporations. We also found the spread of the data.
c) The average, or mean of the measurements are almost the same in both cases. However, the standard deviation of the CEOs’ measurements is almost double of the governors’, which means that the CEO’s desks can be either much bigger or much smaller than the governors’. 


21) Payne (2001) gave participants a computerized task in which they first see a face and then a picture of either a gun or a tool. The task was to press one button if it was a tool and a different one if it was a gun. Unknown to the participants while they were doing the study, the faces served as a “prime” (something that starts you thinking a particular way); half the time they were of a black person and half the time of a white person. Table 2–9 shows the means and standard deviations for reaction times (the time to decide if the picture is of a gun or a tool) after either a black or white prime. (In Experiment 2, participants were told to decide as fast as possible.) Explain the results to a person who has never had a course in statistics. (Be sure to explain some specific numbers as well as the general principle of the mean and standard deviation.)
The mean reaction time is the average time it took for the participants to press a button, either for gun or for tool. The mean for the gun button being pressed after the computer showing a black face is less than that for the tool button after the black face.  This shows that the participants were more prompt to press the gun button. Also, the fact that it took longer for the participants to push the tool button after a black face was shown, shows that the participants did not expect the tool to show, and had to think longer about that. In the second experiment, the mean decreased as the participants had to press button as fast as possible, which decreased the response times. The standard deviation shows the variability of reaction times within a given group, which was also decreased in the second experiment.

Chapter 3

14) On a standard measure of hearing ability, the mean is 300 and the standard deviation is 20. Give the Z scores for persons who score (a) 340, (b) 310, and (c) 260. Give the raw scores for persons whose Z scores on this test are (d) 2.4, (e) 1.5, (f) 0, and (g) –4.5.
Mean = 300
Standard deviation = 20
z = (x - mean) / standard deviation
a) z (340) = (340-300)/20=2
b) z (310) = (310-300)/20=0.5
c) z (260) = (260-300)/20=-2
x = z * (standard deviation) + mean
d) x = 2.4*20+300 = 348
e) x = 1 .5*20+300 = 330
f) x = 0*20+300 = 300
g) x = - 4.5*20+300 = 210

15) A person scores 81 on a test of verbal ability and 6.4 on a test of quantitative ability. For the verbal ability test, the mean for people in general is 50 and the standard deviation is 20. For the quantitative ability test, the mean for people in general is 0 and the standard deviation is 5. Which is this person’s stronger ability: verbal or quantitative? Explain your answer to a person who has never had a course in statistics.
Z-scores:
Verbal ability:
z (81) = (81-50)/20 = 31/20 = 1.55
Quantitative ability:
z (6.4) = (6.4-0)/5 = 1.28
We can see that the verbal ability score is higher than the quantitative ability score, which shows that this person is stronger with verbal skills.

22) Suppose you want to conduct a survey of the attitude of psychology graduate students studying clinical psychology toward psychoanalytic methods of psychotherapy. One approach would be to contact every psychology graduate student you know and ask them to fill out a questionnaire about it. (a) What kind of sampling method is this? (b) What is a major limitation of this kind of approach?
a) This is considered a convenience sampling.
b) This method is not always very effective because the sample does not necessarily represent the population, since it was not randomly selected. Because of this, the results will not be accurately transferrable to the population.

25) You are conducting a survey at a college with 800 students, 50 faculty members, and 150 administrators. Each of these 1,000 individuals has a single listing in the campus phone directory. Suppose you were to cut up the directory and pull out one listing at random to contact. What is the probability it would be (a) a student, (b) a faculty member, (c) an administrator, (d) a faculty member or administrator, and (e) anyone except an administrator? (f) Explain your answers to someone who has never had a course in statistics.
a) P (student) = 800/1000 = 0.8
b) P (faculty) = 50/1000 = 0.05
c) P (administrator) = 150/1000 = 0.15
d) P (faculty member or administrator) = 0.05+0.15 = 0.2
e) P (anyone except an administrator) = 1-0.15 = 0.85
f) To find the probability of the occurrence of an event, we must divide the number of successes by the number of possible outcomes. By doing that we can find the probability of an event happening. For example, dividing the number of students by the total number of individuals, we get the probability of a student being selected, and so on.

References
Aron, A., Aron, E. N., & Coups, E. J. (2009). Statistics for psychology (5th ed.). Upper Saddle River, NJ: Pearson/Prentice Hall.