Case Study Mavis

Longitudinal design is one of many studies that researches utilize to study human’s behaviors. In these types of studies the individuals are left alone without any type of contact with the researchers. The reason for

Experimental design is a critical component of a behavior change program. The manner in which data are collected and then visually displayed are of the highest priority in ABA. Experimental design provides the visual analysis of the functional relation between the independent and dependent variables. Cooper and colleagues define experimental design as the arrangement of conditions so that comparisons of the effects of the presence or absence of independent variables can be made. . It provides the visual display to demonstrate whether an intervention is effective.

Single-subject design (p. 238) – using just one participate or very few participants to study the influence of a new procedure (2012, p. 238).

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,

3.     What are the advantages and disadvantages of an experimental design in an educational study?

The appellant in this case is Mavis Baker. She is Jamaican citizen and came to Canada in August of 1981. She came to Canada as a visitor and didn’t go back to her own country and she was working in Canada illegally as a live in caregiver. She didn’t get Permanent Residence here .Mavis Baker has four Canadian Children .When her Younger child was born in 1992 after she get suffered problem of the post-partum psychosis and was diagnosed with paranoid schizophrenia. Because of her illness, she applied for welfare.

Study Design: This is a case study, but in particular, it is a multiple-baseline across participants design. Blinding was used with the rater who was doing the probe assessments. Furthermore, it is worth noting that the “participants were allocated either three, four, five or six twice-weekly baseline sessions” (p. 656).

Furthermore, on to the text, would provide how studies can be tested/experienced to get the given information one is seeking for. Study designs, are procedures on how an individual would engage to gather their data. There are two types of design studies, one is the cross-sectional approach and a longitudinal study approach. The cross sectional approach is a study based on observations representing a single point in time. In comparison, with a longitudinal approach would be a study design that involves in collecting data at different points in time.

Cross sectional designs involve studies of one group at one time and usually refer to a representative sample of this group. Longitudinal studies are studies of the same group over a period of time and generally are studies of change (Hagan, 2010, p. 83).Longitudinal design means the same subjects are observed multiple times in other words the researcher study the same variables over a preceding time, it is an observation done again several times in the same way. An advantage of longitudinal design is the ability to show a repeated or particular way in which something is done over time whereas the researcher can learn about the causation between actions such that one or more are the result of the other. The disadvantage of longitudinal design

Simple ex-post facto design is ideal for conducting research when it is not possible or acceptable to manipulate the characteristics of human participants. Therefore, “simple ex-post facto design cannot demonstrate cause-and-effect but can strongly suggest it; it has participants that can be randomly selected and assigned to experimental groups and control groups based on preexisting conditions; an independent treatment variable cannot be manipulate as it is impossible using a preexisting condition; it focuses first on the cause and searches for the effect; and there is no control or comparison group” (Shuttleworth, 2009). However, “Two-Factor design is an experimental design in which data is collected for all possible combination of the levels of the two factors of interest”. So, “Two-Factor design evaluate the interactions between the independent variables A graph of a two-factor study indicates an interaction when the line on the graph are cross or converge; it studies the effect of one variable at a time, but it is statistically easier to manipulate; it may be interdependent and is impractical or false to allow analyze; and it allows manipulation of many

When conducting developmental research it is important to use the best design and research strategy to prove your hypothesis.

An independent groups design, commonly referred to as a between subjects design, involves placing participants, exclusively, into one of two levels of an independent variable (“Repeated measures vs independent groups,” n.d.). That is, each condition of the experiment has a different group of subjects (McLeod, 2007). Often, one group of subjects undergoes the experimental treatment while the other undergoes a control condition. After the experiment is complete, an independent samples t-test is usually conducted to see if there is a statistical difference in the dependent variable(s) between the two groups. Subjects should be chosen at random. This is to ensure that each subject has the same likelihood of being assigned either experimental condition

Factorial research designs are experiments that involve factorial combinations of independent variables. Factorial combinations involve pairing each level of one independent variable with each level of a second independent variable. Factorial combinations make it possible to determine the effect of each independent variable alone (main effect) and the effect of the independent variables in combination (interaction effect). The simplest possible experiment involves one independent variable manipulated at two levels. Similarly, the simplest possible factorial design involves two independent variables, each with two levels. Factorial designs are identified by specifying the number of levels of each of the independent variables in the

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.