Abstract
When conducting psychological research, it is difficult to gain access to large and normally distributed samples (Gravetter & Wallnau, 2006). Fortunately, there is a statistical test employed when making comparison between two independent groups that have no requirement for large and normally distributes samples; the Mann-Whitney U test. This paper provides a summary of the test, an explanation of the logic that underlies the test and its application, and the forces and weaknesses of the test. For instance, one of the major limits of this test is the type I error which is rather amplified in a heteroscedasticity situation.
Generally psychological studies comprise small samples. For instance, clinical psychology researchers more often
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An experimenter read there exist an antibiotic that is often tested, has been documented and well versed for aiding in information storage in the memory. This experimenter is also aware, using scientific reports, of guidelines and reports that behaviour therapy carries an efficacy in treating social phobia. The relation is that behavioural therapy involves integrating new behaviours hence storage of information (Gravetter & Wallnau, 2006).
The number social phobia symptoms were studied after therapy. Two groups of individuals who exhibited social phobia were investigated and compared. The first group was given behavioural therapy while the second the therapy was combined with antibiotics. Both groups exhibited a decrease in the symptoms of social phobia after every therapy session. The symptoms were measured and tests run to establish whether the combined therapy was more effective than the behavioural one alone (Gravetter & Wallnau, 2006). That is, the experimenter wished to make a comparison between random variables that had distribution functions that ere continuously cumulative. The hypothesis is that the variables are stochastically equal against the alternative that C (symptoms under combined therapy) is stochastically smaller than B (symptoms under behavioural therapy). Unfortunately, the subject number was small and there was nothing in the data indicating the normal distribution of
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In terms of the forces, the test does not depend on distribution assumptions; the data distribution of the population does not need to be postulated. The test can be employed when the normality conditions are either not met or cannot be realised by transformations. It is also applicable in a small sample scenario and for semi-quantitative data. In short, there are few constraints that apply to the Mann- Whitney U test (Hollander, Wolfe & Chicken, 2013).
This non parametric test is one of the most powerful where the statistical power and the likelihood of rejecting the null hypothesis correspond. This means that the test carries a rather good probability of giving results that are statistically significant in a case where the alternative hypothesis is applicable to the measured reality (Hollander, Wolfe & Chicken, 2013). Even when the samples are average sized, or when the data can be measured using t test, the Mann-Whitney test, as compared to the student’s t test, has a 95% statistical power. When compared with the t test, the Mann Whitney U test is less likely to give statically wrong results in the event of one or more extreme values in the
· Compare the measurements in the study with the standard normal distribution, what does this tell you about the data?
Leach, C. (1979). Introduction to statistics: A nonparametric approach for the social sciences. New York: Wiley.
* Strength: The use of an experimental group and a control group with which to compare data.
6. Why is it important to pay attention to the assumptions of the statistical test? What are your options if your dependent variable scores are not normally distributed?
We conduct an independent sample t-test using Excel, and obtain the following output (see t-test-height)
My preferred theoretical orientation is Cognitive Behavioral Therapy (CBT). The main assumption of CBT is that events and situations in life do not cause emotional problems (e.g., guilt or depression); rather problems are due to irrational beliefs and perceptions about the situations (Corey, 2009). The goals of CBT focus on correcting the client’s automatic and self-defeating thoughts, which should ultimately help them to develop a more adaptive philosophy of life (Corey, 2009). I like that this approach focuses on challenging and changing the client’s cognitive distortions, core beliefs, automatic thoughts, and schemas. Another positive aspect is that this approach focuses on the cognitive triad,
Cohen states that the p-value is only able to tell us whether there is a difference between A and B. If the null hypothesis is rejected, then A is more than B, or vice versa. Unfortunately, Cohen believes that the only thing researchers are learning is whether one is larger than the other, which is not enough information. To conclude Cohen’s discussion on the statistics used in psychological research, he discusses how correlation is not causation. In terms of how to avoid continuing to make this error, Cohen does not believe that there is a way to replace NHST. First, we are not supposed to look for an easy alternative to NHST because it does not exist. Two possible solutions are to understand and improve the data that we collect and to report the effect sizes in the form of confidence intervals (Cohen, 1994).
"We must learn to live together as brothers or perish together as fools." (King, Jr., n.d). When Martin Luther King Jr. made that statement he was not talking about the family unit, yet it is appropriate. A family can be a true blessing, although there are some people that believe their family is their curse. As a future therapist, I believe Cognitive Behavioral Family Therapy (CBFT), will be the approach I use to assist family mend their behavior to live in a cohesive environment together. There is an educational component in Cognitive Behavioral Therapy (CBT) that supports the client(s) long after his/her sessions have ended, which leads to long term benefits and results. That is the actual learning to re-think his/her irrational behavior and beliefs.
Developed in the mid 1960s by Aaron Beck, the Cognitive Behavioral Therapy (CBT) model theorizes that the interpretation of both external and internal events is biased, and can tap unhealthy underlying beliefs that potentially lead to emotional distress (Beck, 2005). Over the years CBT has accumulated an impressive track record in the treatment of a variety of mood disorders. In 1985, a review of 220 studies using CBT in the treatment of depression concluded that 91% supported the model (Beck, 2005). Large-scale literature meta-analyses on CBT in the treatment of anxiety disorders have also shown CBT to be highly effective in this population, particularly with posttraumatic stress disorder (Beck, 2005). Additionally, since the late 1990s evidence has accumulated showing CBT to be an effective treatment approach in substance use disorders, including alcohol dependence, marijuana dependence, and cocaine dependence (Carroll, 2004). No wonder CBT has been characterized as “the fastest growing and most heavily researched orientation on the contemporary scene” (Prochaska & Norcross, 2003, p. 369).
Bulimia nervosa is an eating disorder characterized by binge eating as well as by self-induced vomiting and/or laxative abuse (Mitchell, 1986). Episodes of overeating typically alternate with attempts to diet, although the eating habits of bulimics and their methods of weight control vary (Fairburn et al., 1986). The majority of bulimics have a body weight within the normal range for their height, build, and age, and yet possess intense and prominent concerns about their shape and weight (Fairburn et al., 1986). Individuals with bulimia nervosa are aware that they have an eating problem, and therefore are often eager to receive help. The most common approach to
This paper will examine a data analysis and application for an independent t test comparing the mean GPAs of a sample of male and female students. It will pose a research question that the data will set out to answer. It will provide a null hypothesis and an alternative hypothesis, and will provide an analysis showing why the null hypothesis should be accepted or rejected in favor of the alternative hypothesis.
This paper will discuss and identify cognitive-behavioral treatment options that is available for individual or group's needs in jail, prison, or community corrections. Also, discuss cognitive behavioral treatment as the individual or population moves from the correctional environment to the community. Yet, discuss the efficacy of the cognitive behavioral treatment options available.
The Cognitive Behavioural and Person-Centred approaches to therapy have many theoretical and practical differences, however they are also similar in their view of the individuals they seek to help. This essay will look at a hypothetical case study, involving a client named Stan who has been ordered to attend therapy sessions by a judge in relation to a driving under the influence of alcohol charge. Stan presents a number of issues affecting his self-image, confidence, identity and motivation. For the purpose of this essay, Stan’s depression and anxiety will be examined in the context of both Cognitive Behavioural and Person-Centred approaches to therapy. Additionally, the integration of these two approaches and the limitations and ethical considerations of such an amalgam will also be addressed.
The key concepts of behavior therapy are that it “is grounded on a scientific view of human behavior that accommodates a systematic and structured approach to counseling” (Corey, 2013, p. 250). The attention is focused on the behavior of the person. Behavior therapy is about giving control to the client to expand their freedom. “People have the capacity to choose how they will respond to external events in their environment” (Corey, 2013, p. 250).
For the former, the Shapiro-Wilk test was used, and the null hypothesis that the data are normally distributed was not rejected, regardless of the feature under investigation (p-values ranging from 0.30 to 0.56). Similarly for the sphericity, the Mauchlys test was used, which again failed to reject the null hy- pothesis that the assumption of sphericity is met (p-values ranged from 0.16-0.39).