Title: The Benefits of Buying Sample Dissertations. During times of uncertainty during your studies, it is becoming more commonplace for university students to look at options to help them with their studies. The first port of call is often the internet, searching for material that would help in certain areas of study. Another method students undertake is to look at existing material that has been submitted in their own area of study.
This is something I did throughout my time spent in education but you have to be smart enough not to plagiarism any material. I often looked at assignment and dissertations that have been submitted into universities across the world. I refer to this as looking at sample dissertations. There are many sites that offer existing dissertations for students to reference but there are times when this material is outdated or unfit. Many university libraries grant access to dissertation repositories but not all are that great.
This is where students start to search for sample dissertation on offer from online suppliers or document sharing sites. In fact, these sample dissertation providers do more than you might think such as supporting students with their studies while providing on topic sample dissertations relevant to their subject.
Why Buy A Sample Dissertation?
How exactly do buying sample dissertations help university
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buying sample dissertations online. We have outlined some reasons why students
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assignments, existing research offered by university libraries and online
Buying sample dissertations in your chosen subject area can be more helpful than material on offer at your university or college library. You will be surprised by the number of university students who have submitted a thesis or dissertation along the same lines as your dissertation topic or title. I found many dissertations written in my subject field along with references that I had not encountered before. This is a very good reason why to look into sample dissertation during your studies.
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Plagiarism is using the work of another person without giving the originator credit. There are different kinds of plagiarism; accidental plagiarism is a situation when you are not sure when to cite, summarize what a common knowledge is ending up renewing an old information, deliberate plagiarism; is copying the exact content of another person they way it is without making any changes. This is something that you need to consider when using sample dissertations and the work of others.
It is important to keep accurate sources of your own work, in order to be properly to attribute the exact words ideas you draw from them. When using sample dissertations be sure to record the exact page numbers if you dealing with a quotation. Paraphrasing is another way of avoiding plagiarism, as there is nothing wrong by summarizing other peoples work as long as you attribute the ideas to them. Quotation is away to which guidance from various departments in the institutions are given. Any direct inline quotations (that is quotations inserted in sentence) of someone else’s words must be put into quotation marks and attributed to their original author.
It is advisable to use a more strategic approach to dissertation writing. Always include full citation details for your sources and ensure that you note down the page number of each argument or quote you select. Stay on topic and to the main points, and summarise arguments in your own words as this helps you to understand them. Try not to approach any dissertation as a third person.
Sample Dissertations Features and Aspects
Features of sample dissertations, final year projects and
extended reports can cover the following:
It is undertaken in your final year of undergraduate study, or in postgraduate education
It is linked to both current theory and practice
University students have more choice as to the dissertation topic and methodology, and will decide on the aims and objectives of the study at hand
Students will be required to undertake more independent research into subjects which may not have been taught or may have been covered in a range of modules throughout your program of university or college study
The dissertation word count is usually much higher than for a standard report
Your dissertation requires a Project Proposal in order to gain approval for your key concepts before you start.
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Referring to the work of others will enable your supervisor to assess the way you have approached your investigation, collected your data and evaluated your results in your own research. Dissertations demonstrate skills in: planning, organizing, researching, problem solving and time management as well as oral and written communication skills. They also demonstrate in-depth subject knowledge. We hope you have a better understanding of the benefits of sample dissertations and how they can assist students in their studies.
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An instructional theory refers to a theory that provides clear guidance on how to assist individuals learn and develop. Instructional theories center on how to design material for enhancing the education of individuals. They differ from learning theories in the sense that while learning theories explain how learning occurs, instructional theories stipulate how to assist individuals to learn.
Stated differently, instructional theories, as informed by learning theories, delineate the core teaching approaches (such as worked examples versus partial solutions, lecture versus cooperative activities, immediate versus deferred reinforcements) that may be included in a lesson. Instructional theories are usually normative and situation specific. The field of instructional science deals with understanding and improving instructional methods to make them more appealing and effective (Edgar, 2012, p. 2).
The origins of instructional theories can be traced to formative endeavors by educational psychologists to map out the link between psychology and the pragmatic application of instructional theory in education settings. John Dewey (1910) and Edward Thorndike (1913) are two important theorists who envisaged a special connection between instructional theory and educational practice (Dijkstra, Schott, Tennyson & Seel, 2012, p. 3). The connection between the philosophical perspectives and instructional theories is obvious. For instance, learning activities in a traditional classroom are centered on and controlled by the instructor, who presents the materials to be learned and prescribes the kinds of learning activities that students engage in.
Learners are expected to read and analyze the information (through homework and classroom activity) until they master it. Knowledge is regarded as a commodity to be passed from the teacher to the learner. In sum, instructional theories identify methods of instruction (ways of supporting and facilitating learning), as well as the circumstances in which the methods may or may not be used.
A Perspective on the Connection
between Theory and Practice
The connection between instructional theories and pedagogical practices is made complex by a number of factors. It can be perceived that pedagogical practices should be founded on the best instructional theories available, but this relationship may not be as simple. Educational practices are likely to be informed by philosophical beliefs than by empirical evidence and theoretical discernment of learning. Learning institutions are established according to the various cultural and community beliefs and worldviews, the human nature, as well as what are to be learned. They also differ with respect to their beliefs regarding teaching and learning, although philosophical convictions frequently come first (Duffy & Jonassen, 2013, p. 17).
All instructional programs and educational systems incorporate some instructional theory, even though such theory is in most instances implied and frequently goes unnoticed. Vastly different classrooms materialize from different philosophical views. For instance, if one is of the conviction that knowledge is produced anew by each student, that a student’s mental activity decides what he or she learns, and that learning happens from engaging in authentic assignments in a social atmosphere, then the resultant classroom is likely to involve learners working on projects and learning in groups.
In this manner, the students are able to discuss how best to tackle problems or consult on the meaning of various concepts. There is a consistency between theoretical beliefs and pedagogical practices. However, the question concerning which comes first is not always clear since evidence exists that people seek out and agree to information that affirms their preexisting beliefs while rejecting those that do not conform to such beliefs.
There exists a reciprocatory link between theory and practice. A common conviction is that knowledge flows from systematic theories to the advancement of effectual practices, that effective instructional theories inform sound pedagogical practices (Leong & Austin, 2006, p. 7). However, science does not always work in such a linear manner. An examination of both social and physical sciences reveals that ideas frequently derive from observation and interrogation of naturally occurring events. Scientific theories often come from attempts to find practical solutions to problems, such as asking the question “what is the best approach of teaching the concept of osmosis?”.
Established pedagogical practices that teachers have been found to be effectual should be used as sources of ideas in coming up with a practicable instructional theory. A final caveat in comprehending the connection between theory and practice involves acknowledging that the learners are more important than the instructor in deciding the material to be learned. However, this is not to say that the teacher’s role is unimportant, only that the perceptions, previous knowledge, and beliefs of learners should dictate what and if they learn things related to the teacher’s instructional goals.
This theory deals with the manner in which individuals perceive and
use information to explain events (Higgins & LaPointe, 2012, p. 1). It
looks at what information is collected and how it is treated to shape a causal
judgment. Heider (1958) first proposed the attribution theory, although other
psychologists such as Weiner (1974) and Jones et al (1972) developed a
theoretical framework that later became a key research model in social
psychology. Heider offered a discourse on what he termed as “commonsense” or
“naïve” psychology. According to his perspective, individuals are similar to
recreational scientists, attempting to understand the behavior of other
individuals by gathering and analyzing information until they obtain a
reasonable cause or explanation.
Instructional Theories – Key Statements and Assumptions
Attribution theory concerns itself with how people construe events and how this construal relates to their thoughts and behaviors. The theory presumes that individuals try to determine why people behave in the manner that they do. An individual seeking to understand why other people or person behaved in a certain manner may attribute one or several causes to the behavior (Erbas, Turan, Aslan & Dunlap, 2010, p. 118). Heider proposed that individuals usually make two kinds of attributions, namely internal attribution and external attribution.
Internal attribution involves the deduction that a person is acting in a certain manner because of some inherent attribute about the individual, such as personality or attitude. Conversely, external attribution involves the assumption that a person behaves in a certain manner due to the circumstances that he or she is undergoing. Attributions are also considerably affected by motivational and emotional drives (Higgins & LaPointe, 2012, p. 3). Faulting other people and evading personal blame are existent convenient and self-serving attributions.
Individuals also tend to make attributions in defending against what they perceive as attacks. People sometimes even blame victims for their circumstances as they seek to distance themselves from thoughts and feelings of suffering the same predicament. Lastly, individuals also tend to assign less variableness to other people than themselves, viewing themselves as more versatile and less conventional compared to others.
A three-stage process forms the basis of an attribution. First, the individual must observe or perceive a behavior. Second, the individual must trust that the behavior was deliberately performed, and lastly, the individual must establish if he or she believes that the other person was coerced into performing the behavior (in such a scenario, the cause will be attributed to the circumstances) or not (where the action will be attributed to the other individual). Weiner’s attribution theory focused on achievement. He identified effort, aptitude, task complexity, and luck as essential factors that affect attribution for achievement (Higgins & LaPointe, 2012, p. 2). Attributions are categorized under three underlying dimensions, which include stability, controllability, and the locus of control (Jarvis, 2012, p. 148).
The stability dimension looks at whether causes remain constant or change with time. For example, effort may be categorized as internal and variable while aptitude may be categorized as a constant, internal cause. Conversely, controllability contrasts causes that are within the control of an individual, such as skills, from those that one is not able to control, such as mood, ability, the actions of other individuals, and luck. Lastly, the locus of control dimension is divided into two poles, which include external and internal locus of control.
Application of the Attribution
Weiner’s Attribution Theory has found widespread application in various fields, including clinical psychology, law, and education. Weiner contended that causal attribution determines how people react to achievement and failure. For instance, a student is not likely to experience a sense of pride and accomplishment if he or she receives an A grade from an instructor who gives only higher grades. Conversely, a higher grade from instructors who issues few high grades is likely to lead to immense satisfaction to the student (Weiner, 1980, p. 362).
Students with higher academic achievements and high self-esteem often attribute their superior performance and achievements to internal, established, and intractable factors such as aptitude while attributing failure to internal, tractable factors such as task complexity and the level of effort. For instance, students experiencing recurring failure in numeracy are likely to consider themselves as being less proficient in arithmetic.
This self-perception of numeracy ability evidences itself in the learner’s prospects of success on numeracy tasks, as well in their thoughts on failure or success in the same tasks. Similarly, learners with learning disabilities are more likely to attribute their failure to ability, which is an intractable factor and not effort, which is more tractable.
The Elaboration Theory
This theory holds that to optimize learning, instruction should be prepared in an order of increasing complexity. For instance, when teaching procedural tasks, it is important to present the simplest adaptation of the task first. The lessons that follow should present additional adaptations until all the tasks have been taught. In all the lessons, the teacher should remind the students of all tasks taught (synthesis or summary). An important view of the Elaboration Theory is the observation that the student needs to develop a purposeful context for the assimilation of consequent skills and ideas (Nenkov, Haws & Kim, 2014, p. 769). Therefore, the Theory deals solely with organizational approaches at the macro level.
It stipulates that the instruction begin with an overview that provides knowledge of a few simple but general ideas, with the rest of the instruction presenting exhaustive ideas that expound on earlier ones. The Elaboration Theory includes three models of instruction, as well as systems from stipulating these models based on instructional goals.
Similar to other models of instruction, the three components comprise strategy components. It is imperative to note that the Elaboration Theory is not fixed, but continues to improve as studies expose weak strategy aspects that should be purged from the model and novel strategy aspects that ought to be included into the models.
The Models of the Theory
The three models of the elaboration include procedurally organized model, the conceptually organized model, as well as the theoretically organized model (Reigeluth, 2013, p. 368). A procedurally organized learning program, such as a regression analysis course, would teach the least complex and most generally applicable processes and procedures first, with the rest being taught as is necessary in attaining the same purpose but under different and more challenging conditions.
Conversely, a course in genetics may utilize a conceptually organized model where the general concepts are presented first. Lastly, a course in introductory microeconomics would probably utilize a theoretical structure where the fundamental principles (such as marginal costs, costs and opportunity costs, scarcity, rational choices, etc.) are taught first.
Application of the Elaboration
The theory may be applied to the design of instruction, particularly
in the cognitive domain. Instruction is more effectual when it adheres to an
elaboration strategy, that is, the use of epitomes comprising analogies,
motivators, syntheses, as well as summaries. For instance, nearly all economic
principles may be explained as elaborations of the classic law of demand and
supply, including taxation, regulation, and monopolies.
Problems with the Instructional Theories and Recommendations
Elaboration theory contends that the structure of content should be made plain and overt to learners through a number of organizers and synthesizers. This view is rather problematic in the sense that presenting learners with an outline that reflects the text structure is likely to encourage memory-level indoctrination and encumber the transfer of the memorized material to problem-solving assignments. Such likely negative outcomes of explicit teaching structure might be because of the continuous knowledge-of-result feedback that is usually characteristic of motor learning tasks. It is uncontested that learning may not occur when learners are able to decipher things effortlessly.
As it is currently constituted, the Elaboration Theory is more of an instructional design procedure than a theory. It provides precise steps for structuring instruction. Such a procedural approach presents two principal problems. First, the procedural directions prescribed beforehand often go beyond the knowledge base regarding instructional and learning processes and are frequently at variance with such knowledge and second, those tasked with designing instructions are disposed to adhere to models in a general, principle-based manner notwithstanding the procedural stipulations.
The theory should be redeveloped into a series of guiding rules that are lucidly referenced to instructional and learning processes. A rule-based formulation will permit instructional designers to adapt the theoretical constructs to a wider variety of situations.
The Component Display Theory
This theory was developed by David Merrill (1983) and delineates the microelements of instruction, that is, particular ideas and means of teaching them (Reigeluth, 2013, p. 279). The theory categorizes learning as bi-directional and comprising of content (concepts, facts, processes, principles, and procedures) and performance (memory and generalities). It identifies four principal forms of presentation, which include rules, examples, recall, and practice.
Rules refer to expositive presentation of generality while examples are expositive presentation of occasions and instances (Duncan & Goddard, 2011, p. 80). Conversely, recall is inquisitory or probing generality while practice refers to probing instances. The Component Display Theory also includes secondary presentation forms, which include goals, mnemonics, preconditions, as well as feedback. The theory stipulates that instruction is only effective as long as it contains all essential primary and secondary forms. Therefore, a comprehensive lesson would comprise of a goal, followed by a permutation of rules, examples, practice, mnemonics, recall, and feedback that are task-specific and appropriate.
CDT further proposes that for a given goal and student, there exists a distinctive combination of the various forms of presentation that leads to the most effectual and successful learning experience. In addition, a number of assumptions underlie the Component Display Theory. While there are several varieties of memory, the theory holds that algorithmic and associative memory structures have direct connections to the performance aspects of Find/Use and remember correspondingly. While algorithmic memory is made up of outlines or rules, associative memory consists of successive levels of network structure. The differentiation between the Find and Use performances lies in the use of extant rules in processing inputs compared to forming new rules through the restructuring of existing ones.
Application of the CDT
The Component Display Theory
has found extensive usage in applied instructional design. It was employed in
designing the TICCIT computer-based instructional system (Choi, 1986, p. 40). One
of the key roles of instruction is to foster active mental processing by the
learner. Evidence exists that there is a direct correlation between the quality
and quantity of learning and cognitive processing of pertinent information by
the student. Nonetheless, proper use of attention focusing information, as well
as an experiential environment, may improve the requisite mental processing,
thereby improving the level of learning. Because computers are interactive, the
execution of this active involvement becomes easier than is the case with other
Limitations of the CDT
There exist at least for different elements of instruction that
impinge in student performance, including the organization of instruction, the
method of instruction delivery, student motivation, and the method used in
managing the interaction between the instruction and the student (Choi, 1986,
p. 43). Further, instructional organization may be classified into two distinct
categories, which include organizing instruction on a set of topics and
organizing it on one topic. The Component Display Theory only examines the
organization of instruction on one topic. Although the theory covers only a
single, limited facet of instruction, its meticulous procedures offer
instructional designers ways of producing effectual instruction within this
Instructional Theories Conclusion and Thoughts
The basic aim of instructional theories is to enhance the quality of instruction. A learning-focused instructional theory should provide guidelines for designing learning environments that can offer the proper combinations of self-direction, empowerment, structure, guidance, and challenge. It must also include guidelines for aspects that have been mostly ignored in instructional design, which include deciding among the various instructional approaches, including project-based learning, tutorials, problem-based learning, and simulations.
The needs for learning have increased and, therefore, new paradigms must provide guidelines for promoting social, emotional, spiritual, attitudinal, and ethical development, as well as an intricate understanding, meta-cognitive strategies, complex cognitive tasks, and higher-order critical thinking skills in the cognitive sphere. Various instructional theories must provide guidelines in every of the above spheres of learning and development.
Choi, S. Y. (1986). Application of Component
Display Theory in Designing and Developing CALI. Calico Journal, 3(4), 40-45.
Dijkstra, S., Schott, F., Tennyson, R. D.,
& Seel, N. M. (2012). Instructional Design: Volume I: Theory,
Research, and Models:volume Ii: Solving Instructional Design Problems.
Hoboken, NJ: Taylor and Francis.
Duffy, T. M., & Jonassen, D. H. (2013). Constructivism
and the technology of instruction: A conversation. Hillsdale, NJ: Lawrence
Erlbaum Associates Publishers.
Duncan, S. F., & Goddard, H. W.
(2011). Family life education: Principles and practices for effective
outreach. Thousand Oaks, CA: SAGE.
Edgar, D. W. (2012). Learning theories and
historical events affecting instructional design in education: Recitation
literacy toward extraction literacy practices. Sage Open, 2(4), 1-9.
Erbas, D., Turan, Y., Aslan, Y. G., &
Dunlap, G. (2010). Attributions for Problem Behavior as Described by Turkish
Teachers of Special Education. Remedial and Special Education, 31(2), 116-125.
Higgins, N. C., & LaPointe, M. R. P.
(2012). An individual differences measure of attributions that affect
achievement behavior: Factor structure and predictive validity of the academic
attributional style questionnaire. Sage Open, 2(4), 1-15.
Leong, F. T. L., & Austin, J. T. (2006). The
psychology research handbook: A guide for graduate students and research
assistants. Thousand Oaks, CA: Sage Publications.
Nenkov, G. Y., Haws, K. L., & Kim, M. J.
(2014). Fluency in Future Focus: Optimizing Outcome Elaboration Strategies for
Effective Self-Control. Social Psychological and Personality Science, 5(7), 769-776.
Reigeluth, C. M. (2013). Instructional-design theories and models: An Overview of Their Current Status. Hillsdale, NJ: Lawrence Erlbaum Associates.
Approaches for all research, whether qualitative or quantitative, requires interpretation and contextualization by the researcher. Narrative statements or a series of figures will not give the answer to the research question or statement (hypothesis) by themselves.
Therefore it is important to choose a research approach (or
approaches) that will give the correct ‘type’ of data to answer your research
A number of approaches are available when gathering data,
but these don’t have to be used in isolation. For instance a focus group can
elicit viewpoints which may need exploring further will a larger research
cohort using a closed question survey. For this reason, it is important to plan
your approach thoroughly before you start, to ensure your research question can
be answered and to let your respondees know what is expected of them.
Don’t forget that whichever research method is chosen, it
needs to have a robust ethics form that has been approved before contacting
participants and starting to gather data.
Approaches that can be used:
This is where a group of people discuss a particular
problem, facilitated by the researcher. The group interaction and the sharing
of ideas not only means that rich and meaningful data can be pulled out from
the focus group but also during the course of the focus groups, ideas can be
co-constructed between participants which can be used to further the depth of
When using structured interviews, the questions are written
beforehand and are strictly adhered to regardless of the answer.
Whilst pre written questions are also used in semi
structured interviews, this approach allows for the researcher to spontaneously
build on answers given, allowing the base question to be answered but also
elaborating on any areas which may impact on the research answer.
Surveys are an excellent way to reach a large number of
people. This approach works if there is a clear idea of the questions that will
elicit research to support the hypothesis. A mix of qualitative (open text
fields) or quantitative (set questions and answers) can be used.
This approach is valuable when more in depth research is
required and allows the researcher to investigate the issues in the place or
time that they occur. The researcher will observe the participant and often
will have follow up meetings to clarify or build on the information gained.
This method works on the ideology that it is less important what is said, then how it is said. The story a participant will tell may not be
entirely factual but it will be their perception of what happened which gives
greater in sight. This approach is linked to discourse analysis methodology.
Appreciative enquiry (AI)
AI shifts the traditional focus of looking for the negative
impacts of an issue and instead approaches the issue from a positive
Ethnographical methodology requires the researcher to embed
themselves in the participatory groups own setting, for a sustained time in
order to observe, talk and learn from participants.
There are a number of branches from the ethnographic
More than just an autobiographical account, an
auto-ethnographic researcher should reflect on events and use these to uncover
meanings and feelings that a purely narrative account may miss.
Using video, photos and artefacts as the main source of
research data rather than supplementing it.
Researchers using this methodology are involved and
participants or ‘lurkers’ in virtual groups and communities. Ethical issues
need to be carefully considered with this approach.
Soft Systems Methodology (SSM)
Instead of studying isolated issues, SSM is a holistic way
of looking at and solving problems. These are often presented in mind map
formats, making this a good research methodology for visual learners.
Questions to ask before choosing a research approach:
Will we learn more about this topic using
quantitative or qualitative approaches?
Which approach will produce more useful
Which will do more good?
Taken from: Cousin. Glynis, (2009) Researching Learning in Higher Education. Routledge. UK.
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This collective article is designed to provide you with a realistic and relevant learning opportunity which will help prepare you for the dissertation. You are asked to prepare a research proposal similar to one that could be submitted to an ethics committee. This proposal could be linked to your proposed dissertation topic, if you have already identified one. If not, it could be associated with a current area of interest. Please see your handbook for information on writing and marking.
You are required to:
Identify a research question/problem
Justify the research, research design and methods
Consider resources & constraints
The main objectives of research ethics committees are to protect both prospective participants in research studies and researchers. To achieve this, ethics committees need specific information regarding proposed studies to be able to make informed decisions about the ethical implications of these studies, considering the proposal from the participants’ perspective. The main ethical issues focus on the validity of the research (is the research question important and do-able?) and the welfare of the participants (what will participation involve, are there any acceptable risks, how will informed consent be sought, how will confidentiality be respected?). Therefore, these issues need to be addressed in your proposal.
Identifying a Research Question/Problem
Your research question should be both:
Useful (extending knowledge relevant to health care that might contribute to changes in practice)
Do-able (feasible given resource constraints)
This can be achieved by identifying a practice related problem, considering complaints, policy initiatives and service delivery changes, or by reading articles in journals.
Justify the Research, Research Design and Methods
What is the current state of knowledge in your topic area? Has your research question already been answered? If not, what are the typical methods used to address research questions similar to yours? What other methods might be appropriate? You will need to provide a brief critical review of relevant literature and state how your study will contribute to this field of study.
Given your research question, what types of data will be collected to answer this (e.g. quantitative and/or qualitative)? What is the most appropriate research strategy (e.g. experiment, survey, case study, action research etc) and what methods will you use (e.g. observation, questionnaire, interviews etc)?
Resources and Constraints
What factors should you take into account?
Time – do you have enough to prepare, conduct, analyse and write up the study?
Expertise – do you have knowledge and skills in the particular topic & method(s)?
Participants – can you secure access to the necessary participants (e.g. patients, relatives, work colleagues) within the ethical guidelines and in the relevant time frame?
Financial resources – will you need to consider acquiring extra staff and/or equipment, how will you cover the costs of conducting the research (photocopying, postage, travel etc), can this be approved by your manager or do you need to secure funding?
Writing a Research Proposal
A research proposal is a detailed statement identifying what you intend to do; why; how; and with whom. It indicates your ability to conduct the study and provides an opportunity:
For you – to clarify your thoughts
For others – to examine these (importance, feasibility, ethics, funding etc)
Components of an Research Proposal
Title of the proposed project
Name of the student/researcher
Brief summary and problem statement
Aims & objectives
Rationale/justification (why the research is important and should be conducted)
Brief literature review (scientific background)
Brief description of research design (approach, strategy, methods, analysis)
Ethical considerations (consent of participants, other clinicians, participant information sheet)
Any resource implications (how costs will be met, any funding required/secured)
Proposed outputs (dissemination, feedback to participants)
Research Proposals – Questions to Ask
Is it realistic?
Have I the necessary skills & time to carry it out?
Is it ethical?
Have I considered how my sample will be selected, how informed consent will be achieved, how data will be collected, stored (and destroyed) and disseminated whilst maintaining confidentiality and complying with the Data Protection Act?
Is it clear?
Have I used simple language & not jargon?
Have I explained technical terms?
Have I included an indication of the kinds of questions I will be asking, or observations I will be recording?
Can I anticipate any problems?
Have I covered each section thoroughly?
Are there any weaknesses?
In this article we have identified what is generally required of researchers when they submit proposals for ethical approval. The assignment for this module involves preparing a similar proposal.
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Fashion forecasting is generally a career that involves focusing on upcoming trends in the fashion industry. Fashion and trend forecasting is the future determination of mood, behavior and purchasing habits of consumer at a given time of season. It does not only involve determination of markets, consumers in terms of age, their locations and income but also inquire deeply to get to know what they purchase depending on their culture, beliefs, moods as well as geographical location. Fashion and trend forecasting is more reliant on fashion cycle and plays a significant role in introductory stage of consistent fashion cycles.
Fashion and trend forecasting involves a series of activities in each of the area it is dealing with. For example it looks at the; season, target market, consumer, colors, fabrics, silhouette, texture and usage. Therefore, comprehending fashion and trend forecast is not only crucial in determining the success of the ultimate object of the designer but also enhances the continuous repetition of sales in future seasons as well as promoting the fashion cycles.
Unlike in the past when trend forecasting was done manually, current trend forecasting is done using technological forecasting methods although they have been criticized for reducing creativity by most designers. Most trend forecasting are determined by the forecasting method applied by the ultimate user and it is therefore crucial to determine the most appropriate method of trend forecasting in any individuals business model. Generally, any trend forecasting methods involve the following steps (Hines, 2007);
The first step is Problem definition. Although this is the hardest section of forecasting, it is the most important. This step requires keen analysis of how the forecasts will be used, who needs the forecasts as well as how the forecasting technique suits within the firm needs the forecasts. A forecaster should therefore use enough time to every individual who will take part in data collection, keeping the data as well as applying the forecast for future planning. Then gathering of information follows whereby in most cases, statistical or quantitative data and qualitative data are the ones required. Therefore, the collectors of the data should be expertise who can be able to receive the qualitative information from the respondents who are usually the customers if there is no adequate quantitative information (Wong, 2010).
The third step is preliminary analysis, also called exploratory analysis. In this step, the forecaster should consider whether or not there are consistent pattern that lead to significant trend, whether or not there is evidence of business cycles, the presence of outliers in the information that need explanation as well as the extent of relationship between variables present for analysis.
The fourth step is choosing and fitting models. The best method of trend forecasting should depend on the historical data present, the application of the forecasts as well as the extent relationship between the forecasts available and explanatory variables. Some of the methods that can be arrived at includes; exponential smoothing model, ARIMA model, vector autogression, neural networks among others (Wong, 2010).
The last step involves the use and evaluation of the forecasting model. The success of the model can only be determined after the data for the forecast time has been present after which various methods are applied to assess the success of the model.
As earlier stated, the main data required in trend forecasting is qualitative, quantitative and mostly commonly, a combination of the two.
The quantitative research methodology start right from the bottom, where agencies and even the manufacturers either inquires directly from the customers on their purchasing preferences or the organization may record the consumers buying habit in a duration of a given time. The consumer’s response is recorded and used to determine preference for some specific garments, accessories or any other product on research, colors, and sizes among other factors of a product. Surveys through mail, customer response or phones are carried through publication as well as contracting market research organizations for manufacturers and as well as retailers.
The survey questions usually relate to life style, income, shopping habits as well as fashion preference. The customers who participate in these surveys are selected by the research company although they should suit with manufacturers or retailers requirements. Informal discussion with consumer enable researchers get information through asking questions to customers about what they would prefer to purchase, the types they prefer to purchase which is currently present as well as the change in products they require and are not available or they cannot reach. Most researchers use small scale retailers because of their contact and conversation with the customers.
The quantitative methodology entails the use of statistical data or information to determine the trend in customer demands and hence forecast on producing what the consumers purchase the most. Statistical data for fashion sector is easily obtainable without necessarily going to the field because it is available in manufacturers or retailers sales records (Hines, 2007).
From such records, the manufacturers can determine which garments, color of the product, size as well as the fashion preference of the consumer. After that, the manufacturer should be able to determine which fashion product should be produced more depending on sales experienced at each season of the year. It is valuable noting that a well-balanced combination of the qualitative and quantitative research methodologies is bound to boost the success of the model selected for trend forecasting.
This paper has attempted to show that the fashion industry has one main purpose; to offer desirable as well as appealing product to not only satisfy the customer needs, demands and aspire to have them but to also keep the product selling in the subsequent business cycles with a similar season. Every successful trend forecast must commence with the consumer through determination of the consumer’s needs to the market as well as the ability to make the consumer adjust the marketplace to his preferences and lifestyles. The paper has also expounded on the two critical methodologies used in forecast research i.e. the qualitative and quantitative methodologies. It has also emphasized on the need to combine the two methods in order to attain the best results of the model of forecast selected.
Wong, W. K., & Guo, Z. X. (2010). A hybrid intelligent model for medium-term sales forecasting in fashion retail supply chains using extreme learning machine and harmony search algorithm. International Journal of Production Economics, 128(2), 614-624.
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