Data Collection And The Research Project

The research topic is selected, the testable research question is developed, research on the topic is found, the literature review is completed, and a decision is made on the research design. Now, one of the most important steps in the research process to accomplish is the collection of data. Notwithstanding the research project and whether the method of research is whether qualitative or quantitative, data must be collected. Data collection is essential whether the method of choice is a mail survey, a telephone survey, an interview, an experiment, field research, or secondary data analysis. Data collection is an important aspect of any research study. Inaccurate data can impact the results of a study and ultimately lead to invalid results. During the data collection step, a significant amount of time, energy and attention are required. In order to ensure the data collection process is valid and successful, one should adhere to the four steps involved: (1) the construction of a collection data form which is used to organize all data that is collected; (2) the designation of the coding strategy used to represent data on a data collection form; (3) the collection of the actual data; and (4) entry into the data collection form (Salkind, 2012).

Credibility is similar to internal validity in quantitative studies; if a study is credible, the reader can have faith that the study and its findings are accurate; to determine credibility the reader should look for the use of standard procedures, extended observation and/or contact with the participants, member checking, and reexamination of the data (Connelly, 2016). Dependability, refers to the constancy of the data over time and condition, and is comparable to reliability in quantitative research. However, in qualitative studies, it is important to understand that the study’s nature affects its conditions. Measures that denote a dependable study include peer debriefings, and the maintenance process logs (Connelly,

Describe the key issues surrounding reliability, validity and trustworthiness as applied to Evidence Based Practice

In order to provide the Australia Park Victoria with the appropriate data to solve its current crisis, the most appropriate method of data collection for this research is the qualitative method. According to Gay and Airasian (p 627) qualitative method is the collection of extensive data on various variables over a long time in a natural setting with an aim of acquiring insights not possible using other methods. It involves three different kinds of information collection: direct observation, in depth and open-ended interviews and written documents. Qualitative method involves use of random sampling and structured data collection instruments that fit different experiences. The method also enables the researcher to study the specific area of

The two survey instruments that were used in the data collection process included a study questionnaire and a statewide Health Information Exchange (HIE). Both of these instruments have obtained a data collection that was based on two short timeframes. Not to mention a detailed list of the questions for the study questionnaire were not available in the study. This gives uncertainty to the questions by not knowing if

According to the author, the data collected for this article was obtained by systematic random samples during a 4-week reporting period. The

A standardized one-on-one interview will be scheduled seven days after patient was discharged from the hospital. The potential research study participants must understand English fluently, pass initial interview, pass a psychiatric evaluation, and able to give a written informed consent. The computer will generate a report data, which will be analyzed by ARNP-cardiology leader as probability-based sampling; therefore, bias won’t be arising in sample

Applied Statistics for Health Care Professionals Details Credit Hours PreRequisites coRequisites Course Add-Ons This introductory course on statistical concepts emphasizes applications to health care professions. The course is designed to prepare students to interpret and evaluate statistics and statistical methods used in published research papers and to make decisions about the appropriateness of specific statistical methods in a variety of settings. Areas of emphasis include introduction to analysis of variance, regression, and graphical presentation; experimental design; descriptive statistics; sampling methods; and z, t, and chi-square.

In qualitative the author included a research design that had eight groups accompanied by patients and health professionals. In quantitative, however, samples of

Statistics, like physic, math, or any other discipline, is a large and diverse field. The method of statistical analysis is to analyze the fact in a research study and to bring forth a concrete result with many contents. The content analysis of statistical research may provide many useful results where it informs the readers of a current problem or a situation that may exist within a population, an organization, or in a community. There are many types of data that can be identified in the topics that might be highlighted in classroom discussions to empower students to become more literate readers of nursing journals. Before the statistical analysis research can progress, the type of research study must be known. Study designs that are commonly used in clinical research include case-control, cohort, randomized controlled design, crossover, and factorial designs. Indeed, a statistical research is done seldom randomly controlled trial has many features but most commonly incorporates what is called a

Data was collected by a single author using a paper data collection form. Information collected included the title and authors of the selected studies and year of publications. The study design, sample population size and inclusion criteria for each of the studies were also collected. Finally, the outcomes assessed as well as the definition of the outcome measures were also collected, along with the results produced in each paper and its conclusion.

Firstly, a quantitative research design will be applied, therefore potentially missing valuable qualitative information. Secondly, the obtained data will be analyzed using a mixed-method approach. Certain approximations have to be used in order to estimate some parameters. As a result, conclusions are partially drawn on assumptions, increasing the probability of biases.45 Thirdly, participants have to be willing to participate in this study and have to fulfill certain criteria to be eligible to participate, leading to a selective population. Therefore, the sample may not be a true random sample and limits the geographical scope of participants. This might eventually cause a selection bias. Fourthly, the likelihood of missing data. This may lead to problems in data analysis and misinterpretation of the results. Reporting of missing data over time will be done in order to interpret the data adequately. Fifthly, reliability and validity of tools. Although, the included tools are validated and considered to be reliable and clinically relevant according to a number of studies.46–48 Finally, time constraint limits the scope of the

The techniques used to evaluate and manipulate the data involve linear regression and correlation methods. The researchers chose linear regression and correlation techniques because the analysis involves a comparison of the degree of relationship between the assessments done by patients and the analysis of clinical officers (Price, 2014). Also, the analysis involved statistical elements such as phi-coefficients and Pearson's correlation coefficient, r. Pearson’s correlation coefficient has been used to test the linear relationship between information given by patients and those collected by nurses.

The behavior was observed from a large sample of people. This included twenty people shopping alone and twenty people shopping in a group, for a total of forty subjects, each ranging in ages from approximately 19 to 40 years old. The subjects were observed from the time they entered the store until the time they left. The reasoning behind this was to see the buying behavior differences for the whole experience and figure out which areas of the store could be improved in order to appeal to groups of people shopping. The behaviors observed included the amount of time spent inside the store, the amount of money spent, the interactions with associates, and the areas of the stores that were navigated.

The research design of this action research project is nonexperimental. The research attempts to examine the relationship between the alignment of home and school beliefs or expectations as it relates to the push to limit gender stereotypes in the classrooms of young preschool-age students. Understanding how gender stereotypes affect preschool-age children’s perceptions of what they feel is acceptable gender behavior in school compared to what these children feel is acceptable at home. This action research project will be using qualitative research methods to investigate and gain a better understanding of preschool students and their parents’ perspectives, opinions, and attitudes about gender stereotypes as they relate to home and school alignment. This project’s researchers will collect descriptive non-numerical data to interpret preschool age students and their parents’ views and attitudes.