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Ancova
Pub Date : 2021-10-29 DOI: 10.1201/9781003106845-18
C. Ryan
ANOVA can be extended to include one or more continuous variables that predict the outcome (or dependent variable). Continuous variables such as these, that are not part of the main experimental manipulation but have an influence on the dependent variable, are known as covariates and they can be included in an ANOVA analysis. For example, in the Viagra example from Field (2013), we might expect there to be other things that influence a person’s libido other than Viagra. Some possible influences on libido might be the libido of the participant’s sexual partner (after all ‘it takes two to tango’), other medication that suppresses libido (such as antidepressants), and fatigue. If these variables are measured, then it is possible to control for the influence they have on the dependent variable by including them in the model. What, in effect, happens is that we carry out a hierarchical regression in which our dependent variable is the outcome, and the covariate is entered in the first block. In a second block, our experimental manipulations are entered (in the form of what are called Dummy variables). So, we end up seeing what effect an independent variable has after the effect of the covariate. Field (2013) explains the similarity between ANOVA and regression and this is useful reading to understand how ANCOVA works.
方差分析可以扩展到包括一个或多个预测结果的连续变量(或因变量)。像这样的连续变量,不属于主要实验操作的一部分,但对因变量有影响,被称为协变量,它们可以包含在ANOVA分析中。例如,在Field(2013)的伟哥例子中,我们可能会期望除了伟哥之外还有其他东西影响一个人的性欲。对性欲的一些可能的影响可能是参与者的性伴侣的性欲(毕竟“探戈需要两个人”),其他抑制性欲的药物(如抗抑郁药)和疲劳。如果测量了这些变量,则可以通过将它们包含在模型中来控制它们对因变量的影响。实际上,发生的事情是我们进行分层回归,其中因变量是结果,协变量在第一个块中输入。在第二个块中,输入我们的实验操作(以所谓的虚拟变量的形式)。因此,我们最终看到了自变量在协变量之后的影响。Field(2013)解释了ANOVA和回归之间的相似性,这是理解ANCOVA如何工作的有用阅读。
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引用次数: 1
Factorial ANOVA 析因方差分析
Pub Date : 2021-10-29 DOI: 10.1002/9781119121077.ch10
C. Ryan
But these experiments [1] will not give us any information about the dependence or independence of the two factors, namely study habit and home environment. In such cases, we resort to Factorial ANOVA which not only helps us to study the effect of two or more factors but also gives information about their dependence or independence in the same experiment. There are many types of factorial designs like 22, 23, 32 etc. The simplest of them all is the 22 or 2 x 2 experiment.
但是这些实验[1]并不能告诉我们学习习惯和家庭环境这两个因素是依赖还是独立。在这种情况下,我们求助于因子方差分析,它不仅帮助我们研究两个或多个因素的影响,而且在同一个实验中给出了它们的依赖性或独立性的信息。阶乘设计有许多类型,如22、23、32等。其中最简单的是22或2 × 2实验。
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引用次数: 8
Non-parametric Tests 非参数测试
Pub Date : 2021-10-29 DOI: 10.4324/9780203133507-22
Christian Ryan
The study aimed to improve memory of events for first year middle school students with learning difficulties by preparing a training program based on memory strategies, the sample of the study consisted of (18) first year middle school students with learning difficulties in history, their ages ranged between (13-14) years, and they were of average intelligence. They were divided into two groups: One of them is experimental, numbering (9) students of both sexes, and the other is control, numbering (9) students of both sexes. The following tools were applied to them: - A test of mental abilities (12-14 years old) (prepared by: Farouk Abdel-Fattah, 1989) .Quick Neurological Screening Test (QNST) to identify people with learning disabilities (prepared by: Margaret Moti and others, Arabization: Abdel Wahhab Kamel, 1999). -The Event Memory Scale (prepared by Linda Claire et al., 2002) (translation: the researcher). The training program used (prepared by: the researcher). The pretest event memory scale, the mental abilities test, and the neurological survey test were applied to both groups, Then, the training program was applied to the experimental group only, which consisted of (27) sessions, While the control group was never exposed to any intervention, Then the post-scale was applied to the experimental group after completing the training programme, After a while, the dimension scale was applied to ensure the continuity of the effectiveness of the program, The results of the study indicated the effectiveness of the training program used in improving the memory of events: There is a statistically significant difference between the mean scores of the students of the experimental group and the control group in the post-measurement of memory of events in favor of the experimental group, There is a statistically significant difference between the mean scores of the experimental group students in the pre and post measurements of juvenile memory in favor of the post measurement and There is no statistically significant difference between the mean scores of the experimental group students in the post and follow-up measurements of memory of events….. This indicates the effectiveness of the training program using mnemonic strategies in improving the memory of events for first grade middle school students with learning difficulties
本研究旨在通过制定一套基于记忆策略的训练方案,提高初中一年级学习困难学生对事件的记忆能力。研究样本为18名年龄在13-14岁的中等智力水平的初中一年级历史学习困难学生。他们被分成两组:一组是实验组,男女各有9名学生;另一组是对照组,男女各有9名学生。对他们使用了以下工具:-心智能力测试(12-14岁)(由:Farouk Abdel- fattah编写,1989年)。识别学习障碍的快速神经筛选测试(QNST)(由:Margaret Moti等人编写,Arabization: Abdel Wahhab Kamel, 1999年)。-事件记忆量表(Linda Claire et al., 2002)(翻译:研究者)。使用的培训计划(由:研究人员准备)。两组均采用前测事件记忆量表、心理能力测试和神经系统调查测试,然后只对实验组进行27次训练,对照组不进行任何干预,训练结束后对实验组进行后测量表,过一段时间再进行维度量表,以保证训练效果的连续性。研究结果表明,用于提高事件记忆的训练计划是有效的:在事件记忆后测中,实验组学生的平均分与对照组学生的平均分有统计学上的显著差异,实验组学生得分较高;实验组学生在青少年记忆的前后测量中得分均显著高于事后测量,实验组学生在事件记忆的前后测量中得分均显著高于事后测量,实验组学生在事件记忆.....的前后测量中得分均无显著差异这表明使用助记策略的训练方案在提高一年级学习困难学生的事件记忆方面是有效的
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引用次数: 0
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Data Science with R for Psychologists and Healthcare Professionals
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