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# 统计代写|SPSS代考|SPSS101 True Experiments (Lab or Field)

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SPSS是一个广泛使用的社会科学统计分析程序。它也被市场研究人员、健康研究人员、调查公司、政府、教育研究人员、营销组织、数据挖掘者 等使用。最初的SPSS手册（Nie, Bent & Hull, 1970）被描述为 “社会学最具影响力的书籍 “之一，它允许普通研究人员自己进行统计分析。除了统计分析之外，数据管理（案例选择、文件重塑、创建衍生数据）和数据文档（元数据字典存储在数据文件中）也是基础软件的特点。

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## 统计代写|SPSS代考|True Experiments (Lab or Field)

True experiments can be described by the following criteria:

• Random assignment of the participants into treatment and control groups (randomization).
• Pre-test (Time $)_{0}$ ) both groups.
• Introduce stimulus to the treatment group.
• Post-test both groups $\left(\mathrm{Time}_{1}\right)$.
The measurement of each group’s pre- and post-test levels on the dependent variable indicates whether the treatment (stimulus) has had any effect (see Table 3.1). Alternatively, only post-test can determine the level of effect, but then the evidence is weaker.

Marketing managers are often concerned with the effect of particular stimuli, like an advertisement, on some sort of outcome, like attention, interest, or purchase. Whenever the effect of something is in question, a causal design is appropriate for testing the relationship. We often do experiments to test the outcome of some action. For example, we raise the price of some product and observe how sales changes. Keep in mind that a true experiment requires that we systematically control for the effect of other variables that may influence sales. Imagine that we manipulate several independent variables and measure the effect on one or more dependent variables, while at the same time controlling for the effect of other variables. Suppose we want to show that lifestyle affects eating habits. Manipulating lifestyle to observe eating habits is nearly impossible. When it comes to stimuli such as advertising, it is quite possible to create experimental designs to investigate cause-effect relationships. This is done, for example, by so-called copy testing, where the effect of one or more advertisements is examined before a campaign is launched.
True Experiments Involve

• Randomization in experiment and control group(s).
• Manipulation of stimuli (treatments).
• Post-testing of the results in all groups.
• (Often) pretesting.

## 统计代写|SPSS代考|Quasi-Experiments

Quasi means almost. A quasi-experiment lacks at least one of the two characteristics of a true experiment, either randomization or control group. As a result, a quasiexperiment does not have the same rigor as a true experiment. Some of our students did a quasi-experiment about the effect of playing Mexican music on the sales of Mexican food. They could not randomize the experiment; however, they could have a control group. They chose two grocery stores from the same grocery chain. Both stores were about the same size and in the same town. They pre-tested by recording sales of Mexican food in both stores at the same time before playing the music. They played the music (the treatment) for 1 week in one of the stores, and then post-tested by recording sales at both stores directly after the music was played. They could then test for a significant rise in sales, and they could compare the results with the control group store. An additional effect was that all three students got recruited by a multinational consumer goods producer.
Quasi-Experiments

• Lack either randomization and/or control group.
• Have a weaker test of causality than a true experiment.

## 统计代写|SPSS代考|True Experiments (Lab or Field)

• 将参与者随机分配到治疗组和对照组（随机化）。
• 预测试（时间)0) 两组。
• 向治疗组引入刺激。
• 对两组进行后测(时间1).
每组对因变量的测试前和测试后水平的测量表明治疗（刺激）是否有任何影响（见表 3.1）。或者，只有后测可以确定效果水平，但证据较弱。

• 实验组和对照组的随机化。
• 操纵刺激（治疗）。
• 对所有组的结果进行后测试。
• （通常）预测试。

## 统计代写|SPSS代考|Quasi-Experiments

• 缺乏随机化和/或对照组。
• 对因果关系的检验比真正的实验要弱。

## MATLAB代写

MATLAB 是一种用于技术计算的高性能语言。它将计算、可视化和编程集成在一个易于使用的环境中，其中问题和解决方案以熟悉的数学符号表示。典型用途包括：数学和计算算法开发建模、仿真和原型制作数据分析、探索和可视化科学和工程图形应用程序开发，包括图形用户界面构建MATLAB 是一个交互式系统，其基本数据元素是一个不需要维度的数组。这使您可以解决许多技术计算问题，尤其是那些具有矩阵和向量公式的问题，而只需用 C 或 Fortran 等标量非交互式语言编写程序所需的时间的一小部分。MATLAB 名称代表矩阵实验室。MATLAB 最初的编写目的是提供对由 LINPACK 和 EISPACK 项目开发的矩阵软件的轻松访问，这两个项目共同代表了矩阵计算软件的最新技术。MATLAB 经过多年的发展，得到了许多用户的投入。在大学环境中，它是数学、工程和科学入门和高级课程的标准教学工具。在工业领域，MATLAB 是高效研究、开发和分析的首选工具。MATLAB 具有一系列称为工具箱的特定于应用程序的解决方案。对于大多数 MATLAB 用户来说非常重要，工具箱允许您学习应用专业技术。工具箱是 MATLAB 函数（M 文件）的综合集合，可扩展 MATLAB 环境以解决特定类别的问题。可用工具箱的领域包括信号处理、控制系统、神经网络、模糊逻辑、小波、仿真等。