Are Groups Designs Are Assuring Group Equivalence At The Start Of A Study?

.:6. Design a (hypothetical) experiment that adheres to the Scientific Method. Be sure to include all the necessary requirements at each step and give examples at all of the steps. Start with an observation, whether it’s real or made up, state the null hypothesis, and design an experiment (including an experimental and control group, random sampling, sample size, and reproducibility) that will allow the student to reject or fail to reject the hypothesis, and state the conclusion (20 points.)

3- How would you make it an experimental (rather than correlational) study (it might help to be specific here as well and define the two types of studies in your

In our Penny Lab, we wanted to extend what we were told to do with experimental design. We’re doing this because we wanted to prove what he thought our hypothesis had been, and a hypothesis can not be true unless it can be tested. We investigated what variables made the Penny Lab easier, or harder. As a class we decided to investigate variables like, dropping the penny from the same height, and applying the same pressure to the penny for each drop. But first we had to know what variables were, and which variables we needed to use in the experiment. The variables were, the independent variable, dependent variable, the experimental group, and the control group. We investigated this to show how much water a penny could hold, but we introduced

4. In a well-designed study, what does it mean to say there is a statistically significant difference between groups?

Instructions: This is a group activity that you will start in class and complete at home. For each of the following, note, whether the research design used is an experiment, a quasi-experiment, or a correlational approach and why. If a study is an experiment, identify the independent variable and the dependent variable. Please type your answers in complete sentences.

Ex. When conducting a research study a researcher could use a single-subject design when trying to see if; for exceptional students, an IEP should be conducted every year or twice a year, and which one improves the student’s

The first section talks about first establishing the cause and effect relationship that you are going to be testing. By determining the cause and effect relationship that you intend to test, so that an outsider can test its validity based on your intended cause and effect, and the realized cause and effect. The following section talks about single groups, more in particular about threats of a single group to your cause and effect. It talks about 6 threats to single groups, including history threats, maturation threats, testing threats, instrumentation threats, mortality threats and regression threats, and gives good examples on how these threats may appear in your data. It then moves on to talk about multiple group threats, and how it relates to selection bias or selection threats. It describes and gives concrete examples of six types of multiple group threats, which include including selection-history threats, selection-maturation threats, selection-testing threats, selecting-instrumentation threats, selection-mortality threats and selection-regression threats. Lastly, this section talks about social interaction threats as it relates to validity. It identifies and gives examples for four social threats, which are diffusion or imitation treatment, compensatory rivalry, resentful demoralization, and compensatory equalization of treatment. The reason that I

Participants were exposed to five experimental conditions (different types of labels) and asked to complete two tasks (“Pair-wise comparison of foods” and “Virtual grocery: Envisaged daily food consumption”). The experiment was monitored by 30 interviewers

Under the research design section it could have been mentioned that the study was a descriptive correlation design, experimental design, Quasi-experimental design, or a comparative descriptive design which is "used to describe a phenomenon of interest and related variable" (Gray, Grove, & Sutherland,

Some advantages to using a correlational study would be that individuals are easy to obtain to conduct the research needed. Another advantage would be that the subjects would be of a wide variety, which would add more to the results of the study (Martyn, 2008).

Mixed methods researchers advance the weight or priority to the collection of quantitative and qualitative data. Three options are available to the researcher for prioritizing data:

I will then explain to the students the types of correlated groups designs. First, there is the within-subjects designs, which involves participants being exposed to all experimental conditions. Ultimately, each participant serves as his or her own control, because each participant is tested under each experimental condition. Therefore, the scores in every condition are correlated with the scores in every other condition. The critical comparison is the difference between correlated groups as they are related to the dependent variable. For example, during the Hillary Clinton and Donald Trump election debate there was a polling. The chairperson took a vote before the debate, to establish a baseline opinion of who will do the best, and will ask the audience to vote again at the end. The team that gained the most votes obviously managed to sway opinion in the same subjects much better, and therefore they can be announced as the winner.

True experimental research design includes random selection and group assignment of participants, manipulation of variables and observing the effect that the manipulation has on the dependant variable to establish whether a cause and effect relationship is present between the variables (Follmer Greenhoot, 2003, pp. 92-93). An example of a commonly used true experimental research designs, are experiments used for testing the effects of new pharmaceuticals.

A study design is the procedure that guides a researcher on how to collect, analyze and interpret observations. It is a logical model that guides the investigator while he navigates through the various stages of the research. Study types can be classified severally depending on the research strategy employed. A study type can be non-interventional that is ‘observational’ where a researcher just observes and analyses researchable objects or situations without intervening. Non-interventional study designs can be exploratory, descriptive or comparative. A study can also be

Referencing McMillan and Wergin (2010) assertion on the commonality of mixed method designs having one dominate approach, determined through a series of questions. The conclusion is that Oreck (20014) has a dominate quantitative focus. Therefore, to determine whether it contributes significantly to the knowledge base, it must be judged on how well it meets the non-experimental quantitative evaluative criteria offered by McMillian and Wergin (2010). Particularly in its ability to provide connections and rationale to previous studies and illuminate gaps in the present knowledge base that this study will examine through mainly statistical means to discover associations amongst variables.