Research Design-Descriptive Correlation Design

Have you ever came across a research study and wondered how researches conduct their research? How much time is required to complete a research? And how accurate the results are? In this paper we will be discussing one of many studies that researches utilize to study human’s behaviors which is called longitudinal design. We will discuss how a longitudinal research is carried, its advantages, and disadvantages. I will also be analyzing a research and try to find flaws that we could improve in order to receive accurate results.

allows for participants that are more willing to adhere to the study, and therefore may impact the

A) Mr. Gualtieri cannot draw a conclusion about a cause-and-effect relationship from the evidence he has because he would be too quick to determine the factors that are affecting the students’ learning, development, and behavior (Ormrod, 2014, p.11). Instead of worrying about the cause-and- effect relationship from the evidence, Mr. Gualtieri should scrutinize the research report carefully; therefore, he must answer two questions. First, he must determine if he separated and controlled variables that might have an influence on the outcome. Second, he must ask if he has ruled out other possible explanations for his results? (Ormrod, 2014, p.11). If Mr. Gualtieri’s answers to both these questions are yes, then he should be able to draw a conclusion about the cause-and-effect relationship. Unfortunately, “yes” is not the answer to the two questions. This software program may not lead itself to experimental manipulation and tight control of other potentially influential variables because it is considered as a quasi-experimental study (Ormrod, 2014, p.10). Some of these influential variables that cannot be

This design is more often used by practitioners compared with researchers to examine the effectiveness of a specific intervention on an individual or group’s behaviors.

| -The observer may be biased-There is no control over variables, so it makes it difficult to draw conclusions (Brain, C, 2000).-Requires high level of participation which can cost a lot and take up a lot of time-People might change their behaviour if they know that they are being observed-Researcher might miss something while they are watching and taking notes (University of Surrey, 2014).

For the purpose of this study, the researcher intends to use a cross-sectional research design where all the data will be collected at the same time. The distribution of the research questionnaires will take place over a time period of two weeks where the main data will be collected from the respondents.

Researchers or research teams who elect a quantitative study are going to determine the relationship between an independent variable and a dependent variable within a population (Babbie, E.R., 2010). There are two types of quantitative study designs: descriptive and experimental. A descriptive design typically measures the subject once and establishes the association between the independent and dependent variables (Mujis, D, 2010). An experimental design measures the subject before and after a treatment and establishes causality between the variables (Brians, C.L. et al, 2011).

Descriptive designs -the current state of affairs, Provides a relatively complete picture, does not assess relationships among variables Experimental - impact on experimental manipulations on a dependent variable, Allows drawing of conclusions, Cannot experimentally manipulate many important variables

This article will be used in my paper as a claim regarding the usage of antidepressant treatment. Because this article states that the usage of antidepressant treatments should be carefully assessed by the doctor that is prescribing the medication to the patient, I will use it towards the middle of my paper. I plan on using this to explain that although there is no concrete evidence that antidepressant treatment is connected

Now, it is time to give an overview of some of the design threats to construct validity. If the researcher did not define the construct efficiently than it can lead to the inadequate preoperational explication of constructs threat (Trochim & Donnelly, 2008). Next, is the mono-operation bias, which is the use of the study program only one time and one place (Trochim & Donnelly, 2008). Third, the mono-method bias is the use of any one measure or observation (Trochim & Donnelly, 2008). Finally, the confounding constructs and the levels of constructs threat (Trochim & Donnelly, 2008). Overall, this threat to construct validity is a labeling issue like some of the other threats to construct validity (Trochim & Donnelly, 2008). However, there are more design threats than listed in this paper to construct

However with advantages come disadvantages. For example, with correlational studies there is no background information obtained. Therefore, the reliability of the correlational studies is questioned.

This research design will need more time to be conducted, as this semester is coming to its

Qualitative and Quantitative study designs both can be beneficial in research design. They both provide valuable options for researchers in the field. These techniques can either be used separately in a research study or they can be combined to achieve maximum information. This paper will define the terms qualitative and quantitative; describe the similarities and differences between each; discuss how qualitative and/or quantitative research designs or techniques could be used in the evaluation of my proposed research; and discuss why linking analysis to study design is important.

The research design used in this study was correlational. The correlational design allows the determination of existence or degree of relationship between two variables. In this study gender was used as the nominal independent variable and hours spent in in Pinterest weekly was the dependent variable. The correlational research method was chosen because it allows relevant evidence to be collected and the data collected is directly related to the research question. This type of study manages variations, identifies relationships between variables, and produces answer to the research question. The purpose of the research had to reflect on the research design in order to reveal whether or not there was a statistical significance, in this case

Quantitative research design is an excellent way of finalizing results and proving or disproving a hypothesis. The structure has not changed for centuries, so is standard across many scientific fields and disciplines. After statistical analysis of the results, a comprehensive answer is reached, and the results can be legitimately discussed and published. Quantitative experiments