Research Korner: Designing Research Examples

Methodology_Hong Kong Shoppers

Methodology   Research Design The study intends to investigate the perception of Hong Kong Shoppers regarding the service and product satisfaction. Thus, this study will determine the complaint behavior of Hong Kong shoppers. For this study, primary research and secondary research will be used. Moreover, the descriptive research method will be utilized. In this method, it is possible that the study would be cheap and quick. It could also suggest unanticipated hypotheses. Nonetheless, it would be very hard to rule out alternative explanations and especially infer causations. Thus, this study will use the descriptive approach. This descriptive type of research utilizes observations in the study.  To illustrate the descriptive type of research, (1994) guided the researcher when he stated: Descriptive method of research is to gather information about the present existing condition.  Primary research is conducted using questionnaire surveys that are sent to the randomly selected Hong Kong shoppers. Here, the questionnaires will be used to collect quantitative data and the interviews will be used to provide qualitative insights into the data collected.  Apparently, secondary data are based from the recent literatures related to consumer/ costumer and shoppers behavior. As stated above, this research will partially base its findings through both quantitative research methods because this permits a flexible and iterative approach. During data gathering the choice and design of methods are constantly modified, based on ongoing analysis. This study will also employ qualitative research method because it will try to find and build theories that will explain the relationship of one variable with another variable through qualitative elements in research. Through this method, qualitative elements that do not have standard measures such as behavior, attitudes, opinions, and beliefs within the business domain will be analyzed.   Sampling Technique               The general population for this study is composed of Hong Kong shoppers. Basically these respondents are asked regarding the current status of services and products offered by Hong Kong Shopping Centers and their personal views about product and service satisfaction.     Measurement First, the respondents shall fill out a self-administered questionnaire. Ideally, the respondents will grade each statement in the survey-questionnaire using a Likert scale (1991), with a five-response scale wherein respondents will be given five response choices.           The equivalent weights for the answers will be:   Range                         Interpretation               4.50 – 5.00                              Strongly Agree 3.50 – 4.49                              Agree 2.50 – 3.49                              Uncertain 1.50 – 2.49                              Disagree            0.00 – 1.49                              Strongly Disagree The researcher opted to use the questionnaire as a tool since it is easy to construct having the rules and principles of construction are easy to follow. Moreover, copies of the questionnaire could reach a considerable number of respondents either by mail or by personal distribution. Generally, responses to a questionnaire are objectified and standardized and these make tabulation easy. But more importantly, the respondents’ replies are of their own free will because there is no interviewer to influence them. This is one way to avoid biases, particularly the interviewers’ bias. The researcher will also use graph and charts for data presentation. Instrumentation             For validation purposes, the researcher will initially submit a sample of the set of survey questionnaires and after approval; the survey will be conducted to five respondents.  After the questions were answered, the researcher will ask the respondents for any suggestions or any necessary corrections to ensure further improvement and validity of the instrument.  The researcher will again examine the content of the interview questions to find out the reliability of the instrument.  The researchers will exclude irrelevant questions and will change words that would be deemed difficult by the respondents, too much simpler terms.   Data Collection Plan The researcher will exclude the five respondents who will be initially used for the validation of the instrument.  The researcher will also tally, score and tabulate all the responses in the provided interview questions. Moreover, the interview shall be using a structured interview. It shall consist of a list of specific questions and the interviewer does not deviate from the list or inject any extra remarks into the interview process. The interviewer may encourage the interviewee to clarify vague statements or to further elaborate on brief comments. Otherwise, the interviewer attempts to be objective and tries not to influence the interviewer's statements. The interviewer does not share his/her own beliefs and opinions. The structured interview is mostly a "question and answer" session. This study assumes that the survey used is an effective measurement tool to identify the complaint behavior of Hong Kong Shoppers.  This study also assumes that each participant will honestly ad thoroughly answer each question.       Statistical Treatment of the Data             When the entire survey questionnaire have been collected, the researcher will used statistics to analyze all the data; and will be assisted by the SPSS in coming up with the statistical analysis for this study. Because of this research design, the results of the data gathered were limited to the determination of factors that affect the complaint behavior of Hong Kong shoppers. Thus, other possible findings in the field of consumer/customer satisfaction and business performance are also analyzed.               Comparisons were drawn between the overall responses to the questions and the differing responses ( 1994) the following statistical formulae will be also used: 1.  Percentage – to determine the magnitude of the responses to the questionnaire.             n % = -------- x 100         ;           n – number of responses             N                                 N – total number of respondents   2.  Weighted Mean             f1x1 + f2x2  + f3x3 + f4x4  + f5x5 x = ---------------------------------------------;                         xt where:                           f – weight given to each response                          x – number of responses                         xt – total number of responses   The researcher will be assisted by the Statistical Package for the Social Sciences (SPSS) in coming up with the statistical analysis for this study. SPSS is one of the most widely available and powerful statistical software packages that covers a broad range of statistical procedures, which allows a researcher to summarize data (e.g., compute means and standard deviations), determine whether there are significant differences between groups (e.g., t-tests, ANOVA), examine relationships among variables (e.g., correlation, multiple regression), and graph results (e.g., bar charts, line graphs) ( 2003).

Methodology_Hong Kong Shoppers

Methodology Research Design The study intends to investigate the perception of Hong Kong Shoppers regarding the service and product...

Designing sampling strategies for qualitative social research

Designing sampling strategies for qualitative social research: with particular reference to the Office for National Statistics’ Qualitative Respondent Register   1. Introduction The design of a sampling strategy for a qualitative study is as important as that for quantitative inquiry. A well-defined sampling strategy that utilises an unbiased and robust frame can provide unbiased and robust results. There is a tendency, particularly within a quantitative environment, to consider that the sampling strategy for qualitative research is of lesser importance to that where statistical inference is required. Indeed, it is not unknown for those unfamiliar with qualitative research methods to suppose that no more than a convenience sampling strategy is applied. That is to say the researcher makes no attempt, or only a limited attempt, to ensure that the sample is an accurate reflection of the population. This paper attempts to show why it is as important to develop a robust sampling strategy, from a well-constructed sampling frame, for qualitative research practice. The paper also discusses how the Office for National Statistics (ONS) puts theory into practice using a qualitative ‘Respondent Register’, developed for use for sample frame construction for qualitative social research. 1.1 Understanding qualitative research It is difficult to discuss the design of qualitative sampling strategies without first discussing the nature and purpose of qualitative research, and how its approach differs from quantitative research. The terms ‘quantitative’ and ‘qualitative’ are used as overarching categories covering a wide range of approaches and methods within each. However, the very bases of those approaches differ. Quantitative research, by definition, implies a measurement or numerical approach. The methodology employed is based on the testing of hypotheses deduced from theory. Using statistical inference the results may be generalised to the population. Qualitative research aims to provide an in-depth understanding of the world as seen through the eyes of the people being studied. It aims not to impose preordained concepts; hypotheses and theory are generated during the course of conducting the research as the meaning emerges from the data. Statistical inference is not the objective, although within government, results are used to inform policy and therefore some form of generalisation or transferability is implicit. Qualitative research may stand alone or in conjunction with quantitative research, used before, along side or after. Where the studies are associated then the sampling strategy for both should ideally be considered at the same time. 2. Informing the design of a qualitative sampling strategy Different qualitative sampling strategies may be used at different stages of the research, or for different research purposes. Questions which the researcher should ask themselves at the outset, and which will inform the design of the sampling strategy, are the similar for both quantitative and qualitative research. They are: • What are the research objectives? • What is the target population? • Who should be excluded from the sample? • Who should be included in the sample? • What is the budget? • What is the reporting time period? • How many qualified researchers are available to work on the project? • What sampling technique(s) should be employed? • How are the data to be analysed? • What data collection methods should be employed? • What are the sample criteria? • How long will the interview be? • What size should the sample be? • What should be used as the sampling frame? • How should potential respondents/participants be recruited? All of the above are interdependent, however some of the questions require a more detailed discussion with regard to their application in a qualitative research environment. 2.1 Research objectives Clear definition of the research objectives is crucial. Time spent in clarification with the client is time well spent, as the objectives, of course, determine the route of the research. In qualitative research the objectives may be refined as the research progresses and new incites are realised. 2.2 Resources Time, budgetary and other resource constraints may impact on the qualitative sample design but should not be allowed to undermine it. The nature of the data collection method (e.g. cognitive, in-depth, or group interview), the human resources available to the project and their skills base, are also important considerations. 2.3 Sampling technique The sampling technique employed is a crucial element of the overall sampling strategy. At this point it is important to understand why probability sampling is inappropriate for qualitative research. In probability sampling members of the research population are chosen at random and have a known probability of selection. Groups are represented in the sample in their true proportions; or, where unequal probabilities are used the data are reweighted back to the true proportions. The aim is to produce a statistically representative sample, suitable for hypothesis testing. Qualitative research uses non-probability sampling as it does not aim to produce a statistically representative sample or draw statistical inference. Indeed, a phenomenon need only appear once in the sample. Purposive sampling is one technique often employed in qualitative investigation. With a purposive non-random sample the number of people interviewed is less important than the criteria used to select them. The characteristics of individuals are used as the basis of selection, most often chosen to reflect the diversity and breadth of the sample population. However, there are different approaches to purposive sampling some of which focus on different aspects of the sample members, cases are chosen because they are considered more extreme, for example. One form of purposive sampling is ‘theoretical sampling’, developed from the ‘grounded theory’ approach (1967) . The term ‘grounded theory’ expresses the idea that theory is generated, through an iterative process, involving the continual sampling, collection and analysis of data to inform the next stage of the sample design, until ‘theoretical saturation’ is achieved; that is, no new ideas or theories emerge. The iterative nature of the theoretical sample design is important. It gives the researcher the opportunity to analyse the data as the sampling progresses and means that the researcher can add to or change the emphasis of the sample design, and in doing so ensure robustness of the theories generated. It is therefore valuable to have considered the analysis technique early on in relation to the qualitative sampling strategy. Sometimes theoretical hypothesis generation is not the primary aim of the research. Where the sample population is clearly defined, such as when testing already operational survey questions, and where resource and time constraints are in place, then a more constrained purposive sampling strategy can be devised that avoids iteration and does not necessarily achieve saturation, on the grounds of diminishing returns. Whatever approach is used, some advance knowledge of the population under investigation is necessary when carrying out purposive sampling. 2.4 Sample criteria A decision will be required as to the sample selection criteria. That is, what characteristics will need to be reflected in the sample population to address the research question. The decision on which criterion to use will be informed by the policy advisor and other subject specialists, as well as a review of the current literature. The researcher will need to know whether particular sub-groups need to be included to ensure breadth. The criteria used may be based on demographic characteristics or behaviours or attitudes, and will need to be prioritised if purposive sampling is to be employed. This is partly influenced by the fact that qualitative research is often, but not always, based on a relatively small number of cases so it may not be possible to include all of the sample criteria in the sample design. Some criteria may be considered more important than others in relation to the research objectives. 2.5 Interview length The intensity and therefore the length of the qualitative interview will also impact on the design of the qualitative sampling strategy and the decision of sample size. Longer interviews may provide more data than shorter interviews. A decision may be taken, depending on the nature of the study, to conduct a larger number of shorter interviews or a smaller number of longer interviews. 2.6 Sample size A feature of qualitative sampling is this fact that the number of cases sampled is often small. This is because, as mentioned earlier, a phenomenon only need appear once to be of value. There is no need for scale as there is no need for estimates of statistical significance. Furthermore, because qualitative investigation aims for depth as well as breadth, the analysis of large numbers of in-depth interviews would simply be unmanageable because of a researcher’s ability to effectively analyse large quantities of qualitative data. However, the small-scale approach only works if the researcher has a strong sampling strategy ( 2003). The issues that should be considered when determining the sample size for qualitative investigation are dependent on the heterogeneous or homogeneous nature of the sample population, or requirements of the data collection methods employed; for example, focus groups tend to be more productive and manageable if participants have some commonality. The number of selection criterion required and the degree to which criteria are nested (dependent on whether certain characteristics are to be controlled for e.g. age), are important considerations. The intensive nature of the study; whether multiple samples are required, the inclusion of a control sample for instance; and the resources available to conduct the study, are also important for determining sample size (2003) To provide some idea of the scale of qualitative investigation one might expect to achieve between 20 and 50 interviews for a one-to-one investigation and around 60 to 100 participants at group interview, depending on the research question. The size of the sample required will of course also feed into the decision about the type of sampling frame to use. 2.7 Sampling frames A sampling frame is a list or map that identifies most units within the target population. (Missing units are referred to as undercoverage.) 2.7.1 Frame evaluation When evaluating the effectiveness and efficiency of any sampling frame for qualitative research, it is important, as with quantitative research, to consider whether the frame is comprehensive. That is, all of the target population are included. The full range of dimensions, and information needed to inform the sample selection, should be covered. This is because sections of society missing from the frame may have different characteristics and indeed different behaviours, opinions and attitudes from those covered by it. This undercoverage may affect the results if associated with the subject of enquiry for example, phenomena may not be raised or survey questions not tested thoroughly. It is however, also important to consider overcoverage. Sample members may be listed more than once, or the list may contain members considered out of scope for the purposes of the study. Their inclusion in the study could impact on the findings and indeed on resources and the ultimate cost of the project. Furthermore, the frame should also contain sufficient numbers in each sub-group to provide the sample size required, as not everyone who is eligible will be willing to take part. Three or four people may be contacted who fulfil the sample criteria before one agrees to take part. A practical consideration is whether the frame can be easily manipulated in order to identify those with the relevant characteristics. As with frames for quantitative research, geographical clustering is important because if the population are highly dispersed then fieldwork will be more resource intensive. It is also important to know whether the potential respondent contact details are complete and up-to-date. Lastly, whether the time and cost involved in using the frame is justified. 2.7.2 Types of frame There are basically two types of frame (or list) available for social research practice. These are existing lists that can be used as frames, perhaps after some manipulation, or frames that need to be constructed. Existing frames Existing frames usually comprise of records which were constructed for administrative purposes, for example, a published list of General Practitioners. As such, they tend not to have been designed with research purposes in mind and may not be very well maintained from a research perspective. Furthermore, some administrative records, for example, benefit records, will be covered by data protection and confidentiality issues, which can make them difficult to access. Existing survey samples can provide a frame, but they may also not have been designed with the current research interest in mind. (Although if the qualitative research is a follow-up to a quantitative survey and has been planned as such, then the qualitative sample criteria can be built into the quantitative survey in advance.) Existing survey samples may be affected by undercovereage and response bias, not least because they are dependent on the survey response rate. For ethical reasons, the survey respondent will have been required to give permission for a survey organisation to contact them again for future research. Not everyone taking part in the original survey will have given their consent, particularly if the first survey interview was long or not interesting. There are therefore additional attrition issues to be considered. Ethical considerations might also include the burden on the respondent taking part in more than one interview. Follow-up of respondents who have taken part in longitudinal surveys should be of particular concern. Constructed frames Where an existing frame or list is not available then the researcher may have to create their own. Sampling may then take place directly from the constructed frame or indirect methods of obtaining a sample may be used to either construct or to supplement the frame. In qualitative, as with some quantitative, studies the actual sampling and recruitment may take place in the field, as potential respondents fulfil the sample criteria and the overall sampling strategy. The use of household or organisation screening methods is not uncommon. However, both are subject to the ‘gatekeeper syndrome’ where the person initially contacted may not have available, or may be unwilling to provide, information about others. Particularly where an organisation is concerned, there may be a tendency for the organisation’s representative to select potential respondents who are in more regular contact with the organisation or who may present the organisation in a good light. Another method of frame construction that can be useful, particularly where the population is clustered geographically, is focussed enumeration. Here interviewers call at a certain number of addresses living either side of respondents who fulfil specified criteria. They will administer a screening questionnaire and attempt to gain an interview with people who may also fulfil the specified criteria. This method is more effective where certain characteristics are known to cluster such as high income earners or certain ethnic groups. Snowballing, where respondents tell the researcher about others they know with the same or specified characteristics, is a method also used in qualitative research. As potential respondents often know each other, the disadvantage with snowballing is that a sampling frame created using this method alone may be prone to bias. This is because those who know each other may have similar behaviours and attitudes or may influence each other in relation to the research. Those that are missed may have quite different characteristics. As a result the sample may not be particularly diverse and important phenomena may be missed. It is therefore usually used as a supplement to other methods. Advertising for potential respondents is not advised unless other methods of frame construction are unavailable. If used, a rigorous screening process should be in place but even then the sample members are, to a certain extent, somewhat self-selecting. 2.8 Respondent recruitment The method of respondent recruitment and its effectiveness is also an important part of the sampling strategy. 2.8.1 Recruitment specification For each recruitment project, a comprehensive set of specifications should be drawn up, particularly if an external recruitment agency is to be used. It is therefore of paramount importance to provide a detailed specification of the project to those doing the recruiting. This detailed specification is also useful for the research commissioners in order to alleviate fears about the quality of the research. The recruitment specification will detail the recruitment strategy and explain the purpose of the research and how the research will be conducted and for whom. It will also provide a schedule of events, as well as the detail of any screening questionnaire. Following this, a quota is drawn up according to the sampling strategy and, as people are contacted and meet the criteria and agree to take apart, a note is made of which quota they fill. This in turn informs the recruitment of the next person on the list. At this point it is worth briefly discussing the use of recruitment agencies. Many research organisations use professional recruitment agencies to conduct respondent recruitment for qualitative research. This approach can certainly save time and be cost effective since such agencies specialise in recruitment and have the in-house expertise to manage it. However, it is important periodically to take the time to quality assure the work of these agencies, either directly or though discussions with respondents about their experience of the recruitment process. It is also worth considering the use of incentive payments in relation to recruitment for qualitative research. Due to the intensive (at least cognitively) and sometimes intrusive nature of the interviews, incentive payments are commonplace in qualitative research. At the ONS this is kept to a minimum and is really no more than a token of our appreciation for the time people have spent talking with us, and to cover any travel costs involved on the part of the interviewee. It is important not to mention the incentive to potential respondents at the outset as there is a chance that someone may sift themselves into the study on that basis alone. Certainly in the United States for example, attendance at focus groups is becoming a regular way of earning money. Such professional focus group attendees are to be avoided as their participation will most likely bias the results. 2.8.2 Documenting outcomes It is important to document the outcome of the recruitment process in the same way as it is important to document outcomes in quantitative survey research. This is because it is essential to know whether there is any attrition or deficiencies and biases in the sample and the sampling frame used with respect to the research objectives. Furthermore, the information is valuable for informing future research using the same frame. It is important to know the characteristics of those who refuse to take part, particularly if their refusal is related to the research topic. Furthermore, their refusal may, in part, be a result of the recruitment strategy, which may need revision. Information about non-contacts is important to inform the recruitment strategy, or to check the accuracy of contact details on the frame. Information about those contacted but who were ineligible for the purposes of the study is useful for checking the effectiveness of the sampling frame. Their agreement to be contacted again in the future could also be sought, providing further valuable information. 3. Office for National Statistics’ Qualitative Respondent Register At the ONS, respondent recruitment is conducted by the researchers themselves and not by an outside agency. A major part of the work carried out by the ONS qualitative research unit relates to testing social survey question(naire)s, including the Census, administered to the general population. We have been investigating ways of constructing sampling frames for qualitative social studies. The ONS continuous social surveys can provide details of survey respondents but, particularly where the survey is run annually, the information is often difficult to retrieve quickly and on an ad hoc basis. Furthermore, providing a list of potential respondents is not a survey manager’s priority. We have therefore looked to the National Statistics Omnibus survey to provide a list of potential respondents and their details. The Omnibus is a multi-purpose survey, run on a monthly basis, covers the whole of Great Britain and selects one person living in a private household, aged 16 or over, for interview. Data are available within a few weeks of fieldwork completion. The Omnibus Survey uses the Royal Mail’s small user Postcode Address File as its sampling frame, which aims to include all private household addresses in Great Britain. A new sample of 100 postal sectors is selected at random each month. The postal sectors are selected with probability proportionate to size and, within each sector, 30 addresses are selected randomly. Around 1800 individuals respond to the survey each month1. A potential respondent register is being built from details of those who responded to the Omnibus survey and gave their contact details and permission to be contacted again in the future by the ONS. Every month around 1470 (82%) individual contact details are added to the register. Sampling frames for specific projects can then be constructed from the register. The register is currently stored as an SPSS database. Details of potential respondents remain on the database for a period of four years, after which time they are deleted. This is because around 1/3 of respondents from the original monthly Omnibus sample are likely to have moved over that time period and details may then be out of date. Furthermore, when respondents have taken part in a maximum of two qualitative studies they are not contacted again; so respondent burden is minimised. Contact is usually made by telephone followed by a face-to-face interview. As discussed earlier, it is important for the researcher to be aware of any potential deficiencies in the register or frames produced from it, particularly if those deficiencies relate to the research question or subject under investigation. The advantages and disadvantages of the register in this respect are detailed in section 3.2. The ONS respondent register contains the following information about those who agreed to be contacted: • Around fifty classificatory variables including both household and individual level information such as household type and composition; tenure; number of cars; respondent age and sex; marital, education, health and employment status; socio-economic classification; ethnic group and income band. • Geographical information such as postcode and postcode sector, Local Authority and Government Office Region. • Comments from Omnibus interviewers about the household such as how to find the address. • A note of the Omnibus topic areas covered each month. • Address details (100% coverage of Omnibus sample agreeing to recall). • Respondent name (100% coverage). • Telephone number (96% coverage). • Email address (19% coverage). • Number of times respondent contacted via the register. • Dates when contacted. • Times of contact. • Contact outcomes. • Number of times respondent participated. • Details of project participated in. • Dates of participation. • Name of researcher conducting interview. The register is kept and maintained in a secure environment, access procedures have been verified and agreed with those responsible for data protection at ONS. Respondent confidentiality is paramount. Only two members of staff have access to the database. 3.1 Geographical mapping We have recently begun to investigate an enhancement to the register that is intended to make it more efficient as a frame for qualitative purposes. The use of geographical mapping software means that each potential respondent, with the required sample characteristics, can be mapped at postcode level and a located across the country. This means that the spread of potential respondents with the required characteristics can be visualised. Areas where potential respondents cluster are then visible and can be easily targeted for recruitment. This is especially useful when recruiting for face-toface focus groups since the groups need to come together in one convenient location. It is more difficult to encourage a dispersed group to meet due to the time and cost involved in getting together. In addition, outliers, that is potential respondents who do not cluster, are also important in assuring breadth of coverage. These people may be different from those who cluster and should also be included in the research, at least in the initial stages2. 3.2 Strengths and weaknesses of the ONS respondent register The major benefit of having a qualitative potential respondent register such as this is the considerable efficiency gains for the office both in terms of quality and resource. However, the decision to use the register will depend upon the research objectives and requires an understanding of the strengths and weaknesses of the register, which are detailed below. 3.2.1 Strengths Efficiency gains from a sampling perspective • Potential respondent contact details are up-to-date. Telephone numbers are available in 96% of cases which makes the initial respondent contact simple, timely and less costly than contact made by post or in person. • A large number of demographic and classificatory variables means that selection criteria can be varied and relevant. • The size of the register (around 45,000 cases) means that sub-sampling for frame construction is both possible and effective. • There is diversity and breadth of coverage since the original Omnibus sample design was based on random probability. • When implemented, the mapping software will be useful in identifying where people who meet the sample criteria cluster and additional sampling methods, such as focussed enumeration or snowballing, may achieve a greater success rate. • Even if the Omnibus respondent is unable to take part in the subsequent qualitative study there may be others in the household who fit the selection criteria and are willing to be interviewed. • The register can be used as a starting point for frame construction and prior to administering a screening questionnaire. • The fact that the Omnibus has a random sample design and only those selected can be included for interview means that potential qualitative respondents are not likely to be so called ‘professional qualitative respondents’. Indeed, many have never taken part in social research prior to being interviewed on the Omnibus. • Although the register is depleted through use for various studies it is also refreshed each month as a new Omnibus sample is added. • Outcomes of any recruitment process are recorded which inform subsequent studies and periodic assessments of the completeness of the register can be made by comparing distributions with other data sources. This means that the researcher is informed at the outset of any potential deficiencies in the frame. Efficiency gains from a research perspective • Ensures efficient use of research resource as less time is spent identifying or constructing a suitable sampling frame. • Ensures efficient use of research resource in identifying regions or areas to either target or avoid for recruitment. • If implemented the additional use of the mapping software will be able to inform the development of the sampling and recruitment methodology. • The mapping software will also aid decision making related to cost and timeliness. A more dispersed sample will require greater resource input when interviews are to be conducted face-to-face as researchers will have to travel further to interviews. • The issues that are raised in recruitment, including those related to the geographical mapping information, may reveal issues that can further feed in to understanding during the research analysis or project reporting. • From a practical perspective the SPSS database is easy to access and to manipulate. Sub-sampling frames can be produced quickly, particularly bearing in mind the number of classificatory variables included on the file. The ease of manipulation also means that it is simple to quality assure the sampling and recruitment process3. Efficiency gains from an operational perspective • The fact that respondents have already taken part in an Omnibus interview and have been visited by an ONS interviewer means that greater confidence can be placed in the personal safety of the qualitative researchers when visiting people in their own homes. • Because respondents have already taken part in the Omnibus survey and have agreed to ONS recall, respondents feel less pressurised to take part and more confident in the research process. • Again, because respondents have already been through the Omnibus interview process they generally require less explanation as to what to expect in relation to the practical elements of taking part in the research e.g. making appointments. • The previous experience of the Omnibus interviewer and comments such as how to find an address are also useful for the qualitative researcher. 3.1.2 Weaknesses Efficiency losses from a sampling perspective • The register as a sampling frame is potentially biased in the sense that it only lists those who responded to the original Omnibus survey (65% on average) and only those who then agreed to be contacted again in the future (80% on average). • As the Omnibus is a survey of people aged 16 years or over, living in private households in Great Britain, the register can only list people in those circumstances and would not include people living in institutions. This means that the register alone may not be suitable for a study of the elderly for example. • Despite the large number of cases listed on the register it may still not be suitable for studies of sub-groups of the general population where numbers could be very small, particular ethnic groups for example. • Classificatory variables provided by the Omnibus are factual in nature. However, the sample criterion may be behavioural or attitudinal in nature. Therefore a further screening questionnaire would be required. • Although refreshed each month and containing large numbers of potential respondents, the register may, in the longer term suffer from over use and resulting bias. This is because respondents are removed from the register after taking part in research on two occasions. So if a number of studies are carried out using the same selection criteria this could deplete the frame of certain types of respondent. Efficiency losses from a research perspective • Potential respondents have already taken part in an Omnibus interview and although agreed to recall, there is still an increase in respondent burden. • Respondents contacted to take part in a qualitative study are usually offered a payment in the region of £15 to £30 depending on the nature of the study and data collection method used. Those who took part in an Omnibus interview were not provided with any incentive payment, other than a book of first class stamps. This may raise a question in the respondents mind about why they were not paid to take part in the original survey interview. • The ease and accessibility of the register may mean that over time researchers become reliant on it when thinking about the most appropriate recruitment strategy, choosing to use the register as an easy option rather than it being the most appropriate option. 4. Conclusion An effective sampling strategy is as important for qualitative as it is for quantitative research. The research objectives, sample population, resources available and reporting period, sampling and analysis techniques, data collection methodology, sample criteria, interview length, sample size, sampling frame and recruitment method, all feed into the design of a qualitative sampling strategy. Fundamental to the sampling strategy is the choice of sampling frame. Obtaining an appropriate sampling frame from existing lists or constructing a frame can be difficult and time consuming, although there may be no alternative. The decision is very much dependent on the nature of the study and the target population. However, where studies involve members of the general public and sampling criteria are factual in nature the ONS qualitative respondent register provides a simple yet comprehensive and effective list containing around 45,000 potential respondents and 50 potential selection criteria, from which frames can be constructed. Furthermore, screening interviews can be conducted to aid frame construction, perhaps where relevant research criteria are not included. The fact that the register contains such a large proportion of potential respondents while in contrast qualitative studies are small in scale, one might question why register bias should be considered at all. But misuse, overuse and poor documentation can certainly affect the quality of the register and sub-sampling of frames, and hence the quality of the sampling strategy employed. The register is still under development and as such should currently be considered a prototype tool. However, it has proved effective as a source for sample frame construction for a number of social research projects already carried out by the ONS qualitative research unit, providing evidence of its value, encouraging further development and its formal operationalisation as a necessity.

Designing sampling strategies for qualitative social research

Designing sampling strategies for qualitative social research: with particular reference to the Office for National Statistics’ Qualitat...

Research Proposal

RESEARCH PROPOSAL     Proposed Title: Research Study on Virtual Reality Effectiveness supporting several student needs through classroom activities and programs: A Comparison of  VR technology in Biology class versus Computer class   Research Problem / Research Question   Is VR technology in its effectiveness, the first step toward the ultimate display or the ultimate educational medium to be utilized in Biology and Computer class? As some of the pioneers of virtual reality  have heralded it as modern form of classroom interaction between students and VR machines (1991) and "the first school medium that does not narrow the learner’s spirit" (1991). Thus,  (1965), mention that, VR involves to the display connected to digital computer gives learners the chance to gain familiarity with concepts not realizable in physical world.   There is no reason why the objects displayed by a computer have to follow the ordinary rules of physical reality  as the ultimate display would be room within which the computer can control the existence of matter" (1965 ).  The underlying problem can reflect from such notion as for instance, education and academe researchers have shied away from using the term  VR and thus, prefer it to be virtual environments. The problem of labels has risen because it is difficult to maintain clear separation between research carried out in VR and developments in such Biology and or Computer class. Thus, it will make sense to compare some of VR technologies side by side. Even if VR occupies only small niche, there is little doubt that it is among number of technologies that are changing rapidly and playing an increasingly important part in the school curriculum.   1.     Does the presence of VR technology in schools amicably provide effective applications for student learning in the classroom? 2.     How can a student acquire desirable learning experiences in Biology class through VR utilization? In computer class?  3.     How does VR technology in its effectiveness be applied to Biology class? To Computer class? (Cite examples) 4.     Any similarities and differences of the VR approaches in both classes? Are there any diverse facts in such learning assumptions as used by students/ learners with different needs? 5.     In what ways does VR technology be implemented to such classroom activities signifying that such students learning in various processes are not the same? Since for example, Biology class offers different mode of learning applications as compared to what the computer class offers?   Introduction to topic for research Accordingly, until the early 1990s, virtual reality have become commonplace, attracting hundreds of researchers and developing into sizable industry although, until recently, VR process were so expensive that only large research laboratories could afford them, VR then, has now become poised to enter the education arena in the form of virtual tools for educational learning purposes. Thus, with the advent of other innovative technologies, the emergence of virtual reality has raised many questions about its effective implications, as there now seems to have ample possibility that virtual reality technology may become strong medium for student learning such as in subjects as biology and computer respectively. Thus, VR technology still has the look and feel of prototype, jumble of wires, LCDs and artful technical compromises ( 1988), just portal looking out on mature technology to come. Truly then, virtual reality is powerful and compelling computer application by which humans can interface and interact with computer-generated environments in way that mimics real life and engages all the senses. Thus, virtual reality technology will link people and information in ways that are much more immersive and integrative than current network connections based on two dimensional display screens with keyboard and mouse. Nowadays, students make connections with computing systems in several alternative ways. Each time one watches an electronic watch or hears digital encoding, one is interfacing with computer. One good example is, when someone views standard size computer display within the physical world, the computer screen picture is only small portion of the high priority real world world, but if the screen is sufficiently surrounding to dominate most of the total human range of sight and the picture that it displays reacts naturally to movement, then the computer picture becomes perceptually predominant.     Research objectives The core objective of this study is to determine factors emphasizing VR technology in its effectiveness in support to students needs in classroom activities, identifying vivid comparisons of Biology class as compared to computer class assimilating VR technology from within such context. Thus, as without realism, it is impossible to say that scientific or technological advance has taken place in the classroom and that some change to such VR patterns in one of those classes may result into shortcomings. Another objective would be, to impose awareness with regards to VR technology as applied to student learning that can incur their diverse needs in the classroom. The utilization of VR approaches should be essential in providing in-depth knowledge of how can VR technology effectiveness is applied within biology as well as computer classes as it serves as the main focus of the study. But as the researcher is just being  concerned with virtual reality, in such effectiveness for classroom activities/programs, there shall need to look useful concepts or ideas as part of such learning range within the school phenomena that may sprung around the ideal facet of VR technology in action.                 Sampling Procedures   For determining a solid stance of VR technology in its effectiveness, the research samples as subject for survey questionnaire in support to case studies can be divided into two groups of students, 50 students from Biology class and 50 students from computer class given the fact that, both of the student groups are using VR materials for both class types. The age bracket of these  students can be from 14-17 years old, the age in which biology class and computer class is applicable. The study procedure must be explained well to the students both from biology and computer class. Then, quantitative and qualitative data will be analyzed and that quantitative will be sourced to the primary data gathered and will be undergone into compilation, frequencies, percentages and determination of relationships. Qualitative data will come from the open type of questions in the questionnaire that will reflect the personal opinions of respondents not included in the selection, data will be significant when quantitative data is discovered to have deviations from the hypothesized variables.                Methodology For the realization of the study in progress, one crucial methodology to be applied is through survey questionnaires that will be given to the students from biology class and computer class respectively. The survey questionnaire can be in easy and simple form for the students to respond well and fairly. The questions can be divided into 3 subsets, 5 questions will be asking how their classes are in terms of laboratory tools and materials asking them to narrate such items used in each of the class. The next 5 will be pointing to such VR technology used within the classroom, detailing how they achieved learning and desirable experiences from within their classroom activities. The last 5 questions can be identifying such biology and computer classroom activities using appropriate VR tools and ask the students if they use certain facilities such as movie watching and viewing of discovery channels in 3D interaction process and or film shows and workshops supporting how computer advance and impact the student mind of today’s generation. Thus, there can also be utilization of several case study examples supporting VR technology in its effectiveness, these cases can be found from secondary sources of information as such supported by peer reviewed journals and or academic articles related to the assumptions of VR in schools today. The qualitative approach is to answer questions about the nature of phenomena with the purpose of describing and understanding them from the students’ point of view. Thus, the case study design have the capability of uncovering causal paths and mechanisms and by precise detail there identifies several causal influences and interaction effects which might not be treated well in such statistics investigation as particularly helpful in generating useful theories in development of VR effectiveness. (1997;  1984) Thus, the case study approach will amicably involve the utilization of such methodological information integrating certain suitable ideas and concepts from such primary resources as handed well using first hand findings and research outcomes signifying the appropriateness of VR technology found within biology and or computer class by means of realizing any case study material based on amiable research tools and techniques to be executed in the study. (1997; 1984) Data required and methods of data collection   The research methodology and design process would involve such primary as well as secondary sources for bringing about substantial studies that are literature based and theoretically inclined for which such research methods utilized may truly serve its first hand purpose for this study. The primary sources will have to represent original thinking as the core data for the research will have to be in case studies as well as survey questionnaires equipped with suitable statistical data and its measures as it can have direct observation to the research process as undergoing research should be handed in with empirical facets and crucial points gathered by the researcher. There should also be the integration of secondary data as findings and assumption studies made by several researchers can be good option that supports any valid information. The secondary data will then analyze and evaluate information as being found in the primary sources and creates information more accessible to the readers and the parties involved as these were supported by good books, peer reviewed journals as well as articles and other publication types. When moving the case method for instance, can have such shifts from one paradigm to another and in handling study discipline, such careful approach is amicably needed. The data to be gathered will be tallied by the researcher and will be encoded in the computer.  Hard copy will be printed to ensure that files are kept including the questionnaire responses of the sample.  Frequencies will be computed into percentages and will be presented through graphs, tables and textual arrangements. VR data will also undergo interpretation to determine student to VR relationships indicating the applicability of the research study.   Data Analysis and possible conclusion                                                        The analysis of data can be through scaling interpretation for the survey questions that can be in support to any descriptive type of analysis basing from the responses of the students of both classes. The measurement for such analysis, must take such forms of non-comparative scales to be illustrated as qualitative approach can involve numeric value and on the other hand, be it in semantic way with complete scaling measurements as equipped to understand VR technology applications in those classes and in achieving success in educational training aspect also. There will be utilization of interval scaling as the researcher can justify the use of the arithmetic mean as measure of average. The interval scale has equal units of measurement and possible to interpret not only the order of scale scores as possible to add or subtract constant of the scale value without affecting the form of the scale, requiring interval scales for this study is just appropriate supported by likert scales for the survey as every scale item will have 5 categories, with scale values ranging from -2 to +2 with 0 as neutral response. (2004 , May 3, 2007) Likert scales are treated as yielding Interval data by the majority of marketing researchers.  The scales which have been described in this chapter are among the most commonly used in marketing research. Whilst there are great many more forms which scales can take, if students are familiar with those described in this chapter they will be well equipped to deal with most types of survey problem. Furthermore, through such application of the Likert scale measurement, the degree of agreement as well as disagreement will be given desired numeric value wherein there can include such 2-5 interpretative points from strongly agree up to neutral scaling aspect down to strongly disagree as to be effective in calculation processes (2004 , May 3, 2007).   Nevertheless, there can say that VR technology has shaped the modern education society inasmuch as there has been such steady advance of school subjects from such points of curriculum innovation. Thus, for case study application, it may be class utilization of VR in biology and or computer class can provide effective classroom activities as supported by VR tools and materials respectively. For instance, the growth of biological knowledge is a necessary for desirable student learning. Furthermore, the same applies to VR technology in computer classes, as it can be imperative to point to certain enhanced ability to manipulate such PC applications and its related data and information. The immediate outcome is that it will be necessary to examine not only VR effectiveness forces that shape classroom centered advances but also on student learning experiences as a whole. The data to be presented will have to be in tabulation and due analysis through the use of deviations in median and percentage standardization. Future studies that could be of use by the researchers can be seen in the matter of how effective this particular research study to the society that will be transpired that the study is of applied values and norms that could be the useful indication of the studies to be discussed and be able to assimilate in the future research studies that is more or less related to the presumed study. There needs for updating significant primary and secondary with proper occupation of modern tools and techniques and the need to strengthen on the overall research in its execution and style of completion. The proposal then, may possibly explain relevance of research approach and its affectivity to the served purpose respectively.

Research Proposal

RESEARCH PROPOSAL Proposed Title: Research Study on Virtual Reality Effectiveness supporting several student needs throug...