Results and Conclusion of the Research Process HCS/465
Results and Conclusion of the Research Process The title of this research study is Stressful life events and the tripartite model: Relations to anxiety and depression in adolescent females. The study was investigated by Jeremy Fox, Leslie Halpern, Julie Ryan, and Kelly Lowe (2011). This paper will expand on previous information reported, which included the background and methodology of the research study. This paper will include the results: including data collection methods and data analysis procedures, and the conclusion: including the study findings, weaknesses, strengths, limitations, and whether the findings support the hypotheses.
Results:
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Data Analysis Procedure: Ways the data analysis procedures are appropriate for testing the hypotheses The researchers proposed three hypotheses: 1) High stressful life events and high NA should be related to symptoms of both anxiety and depression. Low PA, however, should be uniquely related to symptoms of depression. 2) NA should moderate the relationship between stressful life events and symptoms of both anxiety and depression. 3) PA should moderate the relationship between stressful life events and symptoms. (Fox et al., 2010, p. 46) After translating the collected data into facts and studying the association between the variables, the hypotheses were tested. It was found that the data analysis procedures to be appropriate to help answer the hypotheses. However, it was found there was mixed evidence for the first hypotheses, which was concerning tripartite models structure. The data supported the other two hypotheses (Fox et al., 2010).
Data: Key distinctions between qualitative and quantitative data Qualitative data deals with descriptions, which it can be observed not measured. Qualitative data analysis is more for exploratory purposes and usually is done through interviews (Henninger, 2009). Quantitative data deals with numbers, data that can be measured. Qualitative data analysis allows researchers to test their hypotheses and is done through surveys (Henninger, 2009). This was a quantitative research study. However,
3. Quantitative data is easily compiled into something meaningful because it is based on concrete data. On the other hand, qualitative data is presented in a raw form and needs
Quantitative research deals with numbers and is measurable. Some examples of quantitative data are cost, number of participants and time. This type of research is systematic and uses the more traditional scientific method of data collection and presentation. Qualitative research has data that is nonnumeric in nature and it is difficult to measure. As the root of the same suggests, it gives a quality description of the data being viewed. It can include descriptions or verbal responses. Qualitative data is subjective in the sense that the answer can be different amongst various people.
Qualitative data is a kind of data that cannot be used in identical way as Quantitative so it is viewed in a narrative form. This can be used to only observe the data for example John Lewis have to ask customer how they feel about their shop and then record the response rather than customers telling you out of nowhere as they will not know, this will give time of how they feel about it when they answer the question. There are few data that can be seen but cannot be measured such as seeing the product instead of describing it. This type of information can be used in John Lewis if customers want to know which products are popular in stock. Most of them will have their own opinion on the product. Businesses like John Lewis may want to include
Quantitative and qualitative research generates from two different perspectives, and it provide different types of crucial information from the research subject. Qualitative research corresponds more with comprehensive and thorough descriptions of events, whereas quantitative research creates statistical models to explain events. Several advantages and disadvantages in qualitative and quantitative research, depends upon the researcher's purpose and area of focus and information that will answer those research questions (Creswell, (2013).
Qualitative research is flexible written form their results are ongoing and their conclusion can be changed while quantitative research is numerical, reliable, specific, data are collected by statistical analysis due to which quantitative are more accurate. Qualitative research uses open questions to find the depth of the information while quantitative research uses closed question, secondary data or experiments due to this it lacks the depth of the information and neglect the effect of the individuals which could be service provider, service users or other staff members.
The key distinctions between qualitative and quantitative data are qualitative data is subjective, ask What?, Why?, literature review may be done after study is complete, develops theory, focus is complex, facts are biased and values are involved, qualitative data is about discovery, describing, understanding, sharing results to who are concerned about the study. Basic with analysis is part of, the researcher conducting the study is part of the process, and participants are involved, reasoning is dialectic and inductive, describes the meaning of what was discovered in the study conducted, uses communication and observation, and strives for trends and theories easy to understand. Study conducted has a flexible approach in a natural setting, provides information worth counting (Anderson, 2006). Quantitative data provides objectives, ask questions how many?, literature review must be done early in the study, tests theory, focus is
A qualitative study addresses the complexity of human experience, focusing on the big picture (Rebar & Gersch, 2015); while a quantitative study breaks a problem down into small pieces and focuses on specific parts to see how they all relate (Rebar & Gersch, 2015). Qualitative methods focus on subjective information, and never try to predict or control the phenomenon of interest (Rebar & Gersch, 2015); on the other hand, quantitative methods focus on statistics and objective information, and can yield predictions and control (Rebar & Gersch, 2015).
According to Kothari (2008) qualitative research is concerned with qualitative phenomena which are related to or involve quality or kind. Qualitative research engages the collection and analysis of non-numerical data obtained from experiments, interviews, observations, and other resources involving statements and arguments. Research is conducted into particular context and non-numerical interpretive approach is used to produce narrative description of research data. Unlike quantitative research, this type of research considers the underlying facts behind the establishment of particular behaviors and assumptions. It is commonly used in behavioural sciences where the aim of research is to discover underlying motives of human behaviour.
Qualitative research data is useful to explain to others the outcome of the information whereas quantitative research is difficult to understand at an initial glance. An advantage to quantitative data is that it is easy for you to turn in to quantitative data, which is more aesthetically pleasing for the audience.
Qualitative research is mainly informal to participate in and the outcome changes with the individual’s opinions and feelings. It includes inductive methods, this could be from the participant feelings changing at a later date or their hypothesis could change over time. Qualitative research is normally conducted by words and is more to do with literature such as what and why something has happened; this research is a subjective feeling, personal to yourself and nobody else, and numerical data of numbers to back your research but what you believe what happened. In qualitative research, the types of methods used are generally; Interviews, observations and forums (online or present)
Qualitative data means data that we collect through our six senses, and quantitative data is defined as data that we collect through numbers. Both qualitative data and quantitative data are essential when we practice an experiment. In the study of depression and anxiety both qualitative and quantitative play major roles. The qualitative data is used by researchers in the study of depression and anxiety via interviews, surveys, observations, focus group and analyses and case study. (Qualitative Methods). Through natural observation we can find a lot of answers to many unsolved question because the researcher can observe the patterns that the person does and connect the actions. For example, a depressed person who cannot rate their depression level can be naturally observed by a psychologist and the patterns of their actions and mood can estimate their level of depression. Moreover, qualitative data can also help figure out the case study of anxiety. People are very less focused on mental health illness because they are afraid of the stigma of being called crazy, psycho or mentally ill and they usually lie while filling out numbers of their mental health condition. However, when people don’t want to state that they are suffering from a mental illness, qualitative data can help psychologist or researchers figure out their mental health condition. For example, a psychologist or researcher can interview them and notice the symptoms of anxiety, depression, insomnia or any mentally
According to the article, the study was aimed to expand on previous studies conducted. The focus was on offering first person experiences of stress, exploring emerging adult stress management skills, and linking this study with other assessments. The study did not present a hypothesis on student responses due to the complexity and detail of the data. It had been conducted at a university in the Midwest. The participants that were involved in this case were between the ages of eighteen and twenty-four. A majority of the people involved were woman (14:6). However, the research study involved an ethnically diverse sample of people. Many of these students were unemployed, while a couple were working part time and one was working full time. These students were recruited through the university 's participation of system. The students were given a survey of demographic content with research questions to complete. The responses were open-response and narrative format. There were five questions including: What causes you the most stress?, Are your coping strategies generally
General speaking, quantitative research is thought to be objective, however qualitative research often involves a subjective element. There are differences designs in qualitative research in comparison to quantitative research. Qualitative research involves words, pictures, or objects; Quantitative involves data in the form of numbers and statistics.
(i) Quantitative vs Qualitative Research: Qualitative research methods is based on values and not numbers while quantitative is based on numeric and Quantifiable data to generalize in its conclusion.
Quantitative and qualitative researches are based on different paradigms. Qualitative research strategy focuses mainly on words, human behaviour in the cultural context, attitudes and life experiences rather than numerical data (IPA Research Strategy. 2010). It focuses on collecting information to confirm how the variables interrelate. It is subjective and always relies on the interpretation of the situation of the individual undertaking the study.