Psy 315 Week 5 Factor Analysis Paper

Determine the minimum sample size required to construct a 95% confidence interval for the population mean.  Assume the population's standard deviation is .2 inches.

Week one, I learned about phytochemicals. They are a non nutrient substance, which means they have no nutrients in them. They are not processed or anything because they are naturally occurring in plants. They cannot be found anywhere else. Phytochemicals are not needed for short term survival, which means you don’t necessary need them. They are good though because they promote long term health. I applied this to my life by making sure I start having phytochemicals in my diet, so I can help out my long term health.

12. _____ For a given population, confidence intervals constructed from larger samples tend to be narrower than those constructed from smaller samples. Which statement below best describes why this is true? (A) The variability of the sample mean is less for larger samples. (B) The z-value for larger samples tends to be more accurate. (C) The population variance is larger for large populations. (D) As the sample size increases, the z-value (or t-value) becomes smaller. A machine dispenses potato chips into bags that are advertised as containing one pound of product. To be on the safe side, the machine is supposed to be calibrated to dispense 16.07 ounces per bag, and from long time observation, the distribution of the fill-weights is known to be approximately normal and the process is known to have a standard deviation of 0.15 ounces.

The five-factor model (FFM) is a contemporary construct describing personality. It incorporates five traits – openness, conscientiousness, extraversion, agreeableness and neuroticism also referred to as OCEAN. Within each dimension, there are specific personality attributes, for example, openness includes subcategories of feelings and actions. The FFM was influenced by Cattell’s 16-factor model (1957) and shares traits with many other personality theories such as Eysenck’s PEN model. There has been an ongoing debate discussing how many factors appropriately represent the brain structure of personality, suggestions have varied from 2-7, recently Almagor et al. (1995) advocated that a 7-factor model unfolds when evaluative traits are involved. Costa & Mcrae (1992) claim that the FFM is the best theory of personality, however, the model has received much criticism. Through examining different aspects of the model its credibility can be explored.

β0 is a constant and β1- β8 are coefficient parameters to be estimated. The priori expectation signs of the parameters are β1 = β2 = β3 = β4 = β5 = β6 > 0 i.e. all the independent/explanatory variables are projected to have positive force on the dependent/endogenous variable.

The features trained for one task can be useful for related tasks. The MTL leverages this idea in a systematic manner. Models for all task of interest (POS,CHUNK,NER) are jointly trained.All models share the look-up table , first linear layer parameters along with certain few parameters..MTL could produce a single unified architecture that performs well for all tasks, no significant improvements(only marginal) were observed with this approach when compared to training separate architectures per task.[ http://arxiv.org/pdf/1103.0398v1.pdf

Magidson et. al (2016)’s purpose was to make the Factor Analysis more straightforward and accessible to clinicians of varying perspectives. Factor Analysis aims to understand the aspects of certain problem behavior. In order to move forward, the problem behavior must be identified. Then the focus moves on to the triggers and figuring out the context of what happened right before the behavior occurred. This is known as the proximal trigger and is what is typically focused on. However, Magidson et. al. (2016) states that in order to better understand the cause of the behavior it is also important to look at the recent and distal triggers, which are the ongoing stressors and past situations. Once the triggers are established the patient is

The Analysis of the Five Factor Model In this essay, first the Five Factor Model (FFM) will be described. Secondly, psychologists for and against the model will be looked at. Following this, the stability of traits will be looked at, both longitudinal and cross situational. Finally, the application of the model within and outside psychology will be evaluated to show support that the FFM provides a solid foundation for an adequate personality psychology.

James Baron and David Kreps had given the Five-Factor model, which is based on Michael Porter’s Five Forces model of business analysis (Porter, 1980). These factors will influence the Competitive Intelligence system in any organization. These factors are External Environment, Workforce, Organizational Culture and Structure, Organizational Strategy, and Technology of Production and Organization of Work (Baron & Kreps, 1999). Lack of correspondence between any one of these factors can lead the firm’s CI practices to the failure.

To determine just how expensive a cappuccino was in San Francisco, I sampled cappuccino prices at 36 coffee shops scattered across San Francisco. The sample mean price of a cappuccino is $3.54 (x̅) with a sample standard deviation, or a standard error, of $0.55 (s). The prices ranged from $2.50 to $4.40. To construct a 99% confidence interval for this sample, I multiplied the standard error by the z-statistic corresponding with 99%, 2.576, and added/subtracted that value from the point estimate, $3.54. The resultant confidence interval was [$2.13, $4.96]. In other words, if I continued sampling cappuccino coffee prices and creating unique samples of sufficient size, both including and not including the coffee shops already sampled, 99% of the

To understand personality there are three main aspects that must be looked at: LArsen and Buss Definition of personality, The Six Domains of knowledge of personality, and Costa and McCrae's Five Factor Theory. In this essay I will first break down larsen and Buss definition and connect it to the domains, then connect the domains to the five factor thoery (FFT).

According to the five-factor model (or Big Five), personality can be classified into five distinct dimensions. These dimensions include extraversion, agreeableness, conscientiousness, neuroticism, and openness to experience (Forsyth, 2014). When multiple individuals come together to work in a group, the personalities of each person may either help or hinder the group in reaching its’ goals. For instance, the Big Five factor of agreeableness is indicative of an individual being accepting, trusting, and nurturing, which may help a leader interact with followers (Northouse, 2016). Another factor, extraversion, may impact the level of energy and excitement a leader conveys. Having a leader who is happy, active, and sociable

Factor analysis is based on the ‘common factor model’. This is a theoretical model that is useful for studying relationships among variables. It is the general way to estimate more than one factor from the data. This model postulates that observed measures are affected by underlying common factors and unique factors, and the correlation patterns need to be determined. In the factor analysis model, each variable is assumed to depend on a linear combination of factors. These coefficients are called loadings. It also includes a component called specific variance. This is due the variable’s independent random variability. It is called specific variance because it specific to each variable. During factor extraction it is the variable’s shared variance that is partitioned from its unique or specific variance. The shared variance contributes to the determination of factors [2]. There are a number of extraction methods available. In this paper the Maximum Likelihood Estimation method is used. Maximum Likelihood attempts to analyze the maximum likelihood of sampling the observed correlation matrix [9]. When applied to a data set, maximum-likelihood estimation provides

In the frequency table for HINTS it shows that 554 males took the survey and 946 females took the survey for a total of 1500 people. The confidence levels are rated from completely confident, very confident, somewhat confident, a little confident, not confident at all, refused to answer, and not at all

According to Maria& Eva, the factor analysis is a technique in the statistics to observe variability in the correlated variables in terms of lowers number of unobserved variables, which is necessary for factorization (Maria& Eva, 2012). Dehak, Kenn, Dehak, Dumouchel, & Ouellet, further stated that, the factor analysis is useful technique to investigate the relationship between the variables in complex concepts and the main purpose of the factor analysis is to reduce the number of variables associated with the measure and to detect the structures of the relationship between the variables (Dehak, Kenn, Dehak, Dumouchel, & Ouellet, 2011) .