RESEARCH METHOD COHEN ok
RESEARCH METHOD COHEN ok RESEARCH METHOD COHEN ok
A FRAMEWORK FOR PLANNING RESEARCH 79 Box 3.1 The elements of research design 1 A clear statement of the problem/need that has given rise to the research. 2 Constraints on the research (e.g. access, time, people, politics). 3 The general aims and purposes of the research. 4 The intended outcomes of the research: what the research will do and what is the ‘deliverable’ outcome. 5 How to operationalize research aims and purposes. 6 Generating research questions (specific, concrete questions to which concrete answers can be given) and hypotheses (if appropriate). 7 The foci of the research. 8 Identifying and setting in order the priorities for the research. 9 Approaching the research design. 10 Focusing the research. 11 Research methodology (approaches and research styles, e.g. survey; experimental; ethnographic/naturalistic; longitudinal; cross-sectional; historical; correlational; ex post facto). 12 Ethical issues and ownership of the research (e.g. informed consent; overt and covertresearch;anonymity; confidentiality; non-traceability; non-maleficence; beneficence; right to refuse/withdraw; respondent validation; research subjects; social responsibility; honesty and deception). 13 Politics of the research: who is the researcher; researching one’s own institution; power and interests; advantage; insider and outsider research. 14 Audiences of the research. 15 Instrumentation, e.g. questionnaires; interviews;observation;tests;field notes; accounts; documents; personal constructs; role-play. 16 Sampling: size/access/representativeness; type: probability: random, systematic, stratified, cluster, stage, multi-phase; non-probability: convenience, quota, purposive, dimensional, snowball. 17 Piloting: technical matters: clarity, layout and appearance, timing, length, threat, ease/difficulty, intrusiveness; questions: validity, elimination of ambiguities, types of questions (e.g. multiple choice, open-ended, closed), response categories, identifying redundancies; pre-piloting: generating categories, grouping and classification. 18 Time frames and sequence (what will happen, when and with whom). 19 Resources required. 20 Validity: construct; content; concurrent; face; ecological; internal; external. 21 Reliability: consistency (replicability); equivalence (inter-rater, equivalent forms), predictability; precision; accuracy; honesty; authenticity; richness; dependability; depth; overcoming Hawthorne and halo effects; triangulation: time; space; theoretical; investigator; instruments. 22 Data analysis. 23 Verifying and validating the data. 24 Reporting and writing up the research. Chapter 3 Clearly this need not be the actual sequence; for example it may be necessary to consider access to a possible sample at the very outset of the research (see http://www.routledge.com/textbooks/ 9780415368780 – Chapter 3, file 3.2. ppt). These issues can be arranged into four main areas (Morrison 1993): orienting decisions research design and methodology data analysis presenting and reporting the results. Orienting decisions are those decisions which set the boundaries or the constraints on the research. For example, let us say that the overriding feature of the research is that it has to be completed within six months; this will exert an influence on the enterprise. On the one hand, it will ‘focus the mind’, requiring priorities to be settled and data to be provided in a relatively short time. On the other hand, this may reduce the variety of possibilities available to the researcher. Hence questions of time scale will affect:
80 PLANNING EDUCATIONAL RESEARCH the research questions which might be answered feasibly and fairly (for example, some research questions might require a long data collection period) the number of data collection instruments used (for example, there might be only enough time for a few instruments to be used) the sources (people) to whom the researcher might go (for example, there might only be enough time to interview a handful of people) the number of foci which can be covered in the time (for example, for some foci it will take alongtimetogatherrelevantdata) the size and nature of the reporting (there might only be time to produce one interim report). By clarifying the time scale a valuable note of realism is injected into the research, which enables questions of practicability to be answered. Let us take another example. Suppose the overriding feature of the research is that the costs in terms of time, people and materials for carrying it out are to be negligible. This, too, will exert an effect on the research. On the one hand, it will inject a sense of realism into proposals, identifying what is and what is not manageable. On the other hand, it will reduce, again, the variety of possibilities which are available to the researcher. Questions of cost will affect: the research questions which might be feasibly and fairly answered (for example, some research questions might require interviewing, which is costly in time both to administer and transcribe, or expensive commercially produced data collection instruments (e.g. tests) and costly computer services, which may include purchasing software) the number of data collection instruments used (for example, some data collection instruments, e.g. postal questionnaires, are costly for reprographics and postage) the people to whom the researcher might go (for example, if teachers are to be released from teaching in order to be interviewed, then cover for their teaching may need to be found) the number of foci which can be covered in the time (for example, in uncovering relevant data, some foci might be costly in researcher’s time) the size and nature of the reporting (for example, the number of written reports produced, the costs of convening meetings). Certain time scales permit certain types of research, thus a short time scale permits answers to short-term issues, while long-term or large questions might require a long-term data collection period to cover a range of foci. Costs in terms of time, resources and people might affect the choice of data collection instruments. Time and cost will require the researcher to determine, for example, what will be the minimum representative sample of teachers or students in a school, as interviews are time-consuming and questionnaires are expensive to produce. These are only two examples of the real constraints on the research which must be addressed. Planning the research early on will enable the researcher to identify the boundaries within which the research must operate and what the constraints are on it. Let us take another important set of questions: is the research feasible Can it actually be done Will the researchers have the necessary access to the schools, institutions and people This issue becomes a major feature if the research is in any way sensitive (see Chapter 5). With these preliminary comments, let us turn to the four main areas of the framework for planning research. Orienting decisions Decisions in this field are strategic; they set the general nature of the research, and there are several questions that researchers may need to consider: Who wants the research Who will receive the research/who is it for Who are the possible/likely audiences of the research What powers do the recipients of the research have What are the general aims and purposes of the research
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A FRAMEWORK FOR PLANNING <strong>RESEARCH</strong> 79<br />
Box 3.1<br />
The elements of research design<br />
1 A clear statement of the problem/need that has given rise to the research.<br />
2 Constraints on the research (e.g. access, time, people, politics).<br />
3 The general aims and purposes of the research.<br />
4 The intended outcomes of the research: what the research will do and what is the ‘deliverable’ outcome.<br />
5 How to operationalize research aims and purposes.<br />
6 Generating research questions (specific, concrete questions to which concrete answers can be given) and hypotheses<br />
(if appropriate).<br />
7 The foci of the research.<br />
8 Identifying and setting in order the priorities for the research.<br />
9 Approaching the research design.<br />
10 Focusing the research.<br />
11 Research methodology (approaches and research styles, e.g. survey; experimental; ethnographic/naturalistic;<br />
longitudinal; cross-sectional; historical; correlational; ex post facto).<br />
12 Ethical issues and ownership of the research (e.g. informed consent; overt and covertresearch;anonymity;<br />
confidentiality; non-traceability; non-maleficence; beneficence; right to refuse/withdraw; respondent validation;<br />
research subjects; social responsibility; honesty and deception).<br />
13 Politics of the research: who is the researcher; researching one’s own institution; power and interests; advantage;<br />
insider and outsider research.<br />
14 Audiences of the research.<br />
15 Instrumentation, e.g. questionnaires; interviews;observation;tests;field notes; accounts; documents; personal<br />
constructs; role-play.<br />
16 Sampling: size/access/representativeness; type: probability: random, systematic, stratified, cluster, stage,<br />
multi-phase; non-probability: convenience, quota, purposive, dimensional, snowball.<br />
17 Piloting: technical matters: clarity, layout and appearance, timing, length, threat, ease/difficulty, intrusiveness;<br />
questions: validity, elimination of ambiguities, types of questions (e.g. multiple choice, open-ended, closed),<br />
response categories, identifying redundancies; pre-piloting: generating categories, grouping and classification.<br />
18 Time frames and sequence (what will happen, when and with whom).<br />
19 Resources required.<br />
20 Validity: construct; content; concurrent; face; ecological; internal; external.<br />
21 Reliability: consistency (replicability); equivalence (inter-rater, equivalent forms), predictability; precision;<br />
accuracy; honesty; authenticity; richness; dependability; depth; overcoming Hawthorne and halo effects;<br />
triangulation: time; space; theoretical; investigator; instruments.<br />
22 Data analysis.<br />
23 Verifying and validating the data.<br />
24 Reporting and writing up the research.<br />
Chapter 3<br />
Clearly this need not be the actual sequence;<br />
for example it may be necessary to consider access<br />
to a possible sample at the very outset of the research<br />
(see http://www.routledge.com/textbo<strong>ok</strong>s/<br />
9780415368780 – Chapter 3, file 3.2. ppt).<br />
These issues can be arranged into four main<br />
areas (Morrison 1993):<br />
<br />
<br />
<br />
<br />
orienting decisions<br />
research design and methodology<br />
data analysis<br />
presenting and reporting the results.<br />
Orienting decisions are those decisions which<br />
set the boundaries or the constraints on the<br />
research. For example, let us say that the overriding<br />
feature of the research is that it has to be<br />
completed within six months; this will exert<br />
an influence on the enterprise. On the one<br />
hand, it will ‘focus the mind’, requiring priorities<br />
to be settled and data to be provided in a<br />
relatively short time. On the other hand, this<br />
may reduce the variety of possibilities available to<br />
the researcher. Hence questions of time scale will<br />
affect: