Cluster Analysis And Factor Analysis

In response to the question set, I will go into detail of the study, consisting of the background, main hypotheses, as well the aims, procedure and results gathered from the study; explaining the four research methods chosen to investigate,

1. Based only on the cluster analysis data, which preference related variables are most useful for segment identification and evaluation? Which variables are least useful?

The group interactions between those new in the group and those who were in later stages of the program were interesting to note. The interaction was almost that of an educational one between the two and members from later stages effectively encouraged those new to the group or those who failed, one which was on the first stage. A balanced dynamic and showed the positive aspects of an open group format. Individuals from varying stages interact in the group setting providing an environment that shows progression through struggles. Also, this assists in clients who believe their situations are unique and thus feeling alone the ability to connect with another member who had similar structures but are now on step eleven, these similarities provide

When considering the antecedents of death anxiety, the research determined that it is initiated by an increased awareness of mortality. In addition, it was determined that the following three characteristics overlapped when considering death anxiety: diagnosis of a life-threatening illness or experiencing a life-threatening event, stressful environments or unpredictable circumstances, and experiences with death.

II. Design: The authors designed their research by creating models with one to five classes which were analyzed. Distal factors (i.e., external variables) were not included in the estimation of the latent class models as this was an exploratory study.

“The responsibility for collection development is the fourth part of the policy in which it allows the reader to understand the chain of command

Students in my learning community are often dealing with a multitude of issues all cascading into each other during a school day. These factors independently maybe could be managed but together they are producing stressors that can be connected to the larger narrative of poverty and social class. It is for these reasons I feel our school needs to intentionally develop initiatives that work to build students internal sense of resiliency.

The CFA results provided support for the four – factor model indicating the distinctiveness of the four variables. The chi- square value for the variables. The chi – square value for the four factor model (chi- square =4816.468, df = 246, p= 0.000) was lower than those of three factor – model (chi- square =5247.931, df = 249, p= 0.000), the two- factor model (chi- square =6855.536, df = 251, p= 0.000) and the one factor model (chi- square =9540.195, df = 252, p= 0.000). Furthermore, the fit indices revealed a better fit for the four factor model (TLI= .730, CFI= .759, RMSEA= .246) relative to the three – factor model (TLI= .708, CFI= .736, RMSEA= .249), the two – factor model (TLI= .617, CFI= .652, RMSEA= .285) and the one factor model (TLI=

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

Factor analysis is a statistical method, which is used in multivariate to describe variability between correlated variables they are known as factors. These factors are assumed to represent the dimensions within the data. The information which is gathered by performing factor analysis can later reduce the set of variables in a dataset. The basic concept of factor analysis is to represent a set of variables by a smaller set of variables.

3. Exploratory data analysis is an examination where statistical tools and ideas can help you examine data in order to describe their main features.

The results indicated that the Cronbach alpha for climate for sexual harassment measure was well above 0.70 as recommended by Nunnally (1978) i.e. 0.934. The corrected item-total correlation for all the items within the scale was positive and exceeded the value of 0.3 by a wide margin (Pallant, 2005). An examination of the scale’s inter-item correlation matrix indicated that the scale showed a moderate to strong positive correlation between all the items within the scale (Gliem & Gliem, 2003). The result determined that all items within the scales were stable enough to assess the intended construct.

The human need to belong is so deeply ingrained that we create groups not just for survival but also for support, happiness, and advancement. For the majority of individuals the support provided by family and social groups fulfills the need to belong and provides positive influences with very little disruption within communities. But for many others, particularly juveniles with antisocial attitudes, becoming involved with a gang fulfills the need to belong. Just as with other types of social groups, “[g]angs form under incentives derived from the direct and indirect costs and benefits of gang membership”(Dnes & Garoupa, 2010, p.526).

Interestingly, shared mental model theory suggests that when teammates hold similar cognitive representations, they are well capable to anticipate one another’s needs and actions, and to engage in added efficient searches for vital information. Furthermore, “because of this, the effectiveness of the mental factor strategy should naturally be moderated by the validity of the expert model used to structure team discussions and the human capital that team members possess and use to solve the problems they uncover” (Smith-Jentsch, et al., 2008, pg.322). Therefore, a favorable mental attitude facilitates learning while the factor of interest is closely related in nature to that of representational drive and

15 Points Extra Credit Your choice of: Create a higher level thinking question that integrates two significant concepts (make sure the concepts are from different chapters). OR, create two multiple choice questions with 4 choices for each question. Respond to your own questions and they may not reflect concepts assessed on this OFS. For the multiple choice, indicate why your answer is the best answer and the others are not.