Assignment 2 Quantitative Research And Time Series Design Paper

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

Strengths to this design are it allows the development of questions for further studies. It allows for testing of the expected relationships between the variables. It also allows for drawing conclusions about the relationship.

Methods used in psychological research are used to obtain quantitative or qualitative data. Quantitative data is more often than not derived from methods such as experiments and statistics analysing data using surveys, questionnaires and interviews. Qualitative data tends not to be aimed at finding exact measurements in its findings, but is more concerned with evidence collection and analysis through practices such as observation and ethnography (using observations through involvement in activities over a period of time) (Brownlow 2011).

Quantitative research is research that has been conducted for the purpose of obtaining the attitudes, behavior or performance of people in numerical form. It is designed to generate projectable numerical data about a topic.

A quantitative study has objective stances, logic, and numbers focusing on unchanging data and details (Babbie, E.R., 2010). The aim of quantitative research is to classify features, count the features, and construct statistical models to explain what was observed (McNabb, D.E., 2008). It has eight characteristics:

“Quantitative research involves numbers and measuring quantitative or amounts”. (Whitehouse, M, 2010:425). Methods that involve quantitative data may

This write appreciates facts and data mostly, thus would choose a quantitative method of research. They are concise, the sampling size can be larger and the limitations to human subjectivity usually are less. It is believed that the accuracy of the study is greater and more

In defining quantitative research the term can be dichotomized. Firstly, research refers to creative, systematic work with the intention to increase the knowledge of man and thereby devise new applications (OECD, 2002). In addition Gray (1997) stated that research should improve performance and that the results should be

Principally, quasi-experiments utilize the comparison of two existing set of groups to determine the maximum level of impact caused by an intervention. The design is standard among behavioral researcher in determining the effects of an intervention before and after treatment. The design attempts to eliminate all other unrelated explanations to an outcome

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.

State and describe the design you will be using (*hint – this needs to be more specific than “quantitative”)

What do we have data on and what further data do we need to collect. The sources of information considered in the study are helping to determine the type of research design used during the study.

A single subject design has three main requirements. The first one is having a continuous assessment of the behavior of the subject individual. This is done repeatedly over the course of the intervention. This provides room and enough time for observation in order to convince the one studying this behavior of the type of treatment prescribed or applied will produce a lasting solution. The second requirement

Quantitative Research- a research based on experimental data, a survey that proves the actuality of the theory.

Quantitative research involves collecting data, which can be expressed numerically. The design is well structured with pre-determined outcomes. It frequently involves testing a hypothesis, which then can be analysed from the data deductively using statistical methods. Using numerical data is easier to analysis mathematical, so larger sample sizes can be utilised compared to qualitative research, therefore giving a better representative of the population; along with simplifying the process of making a generalisation. Another advantage is that studies can easily compare to similar findings (Kruger, 2003). The disadvantages are the results are limited and might not provide a proper understanding of the topic. Also, statistics and leading questions can be used to give a false representation of the data when summarising.