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	<title>AROUND LAB NEWS / EN &#187; Glossary</title>
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		<title>Glossary and sampling of quantitative research</title>
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		<pubDate>Fri, 10 May 2013 15:00:22 +0000</pubDate>
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		<description><![CDATA[This glossary contains terms used when planning and designing samples, for surveys and other quantitative research methods. Abduction A useful but little-known concept first used by the [...]]]></description>
				<content:encoded><![CDATA[<p><span style="font-size: 14px;">This glossary contains terms used when planning and designing samples, for surveys and other quantitative research methods.</span></p>
<p><span style="font-size: 14px;"><a name="abduction"></a><b>Abduction</b></span><br />
<span style="font-size: 14px;"> A useful but little-known concept first used by the philosopher Peirce around 1900. Similar to <a href="http://www.audiencedialogue.net/gloss-quant.html#induction">induction</a>, it has been described as &#8220;testing a theory by fitting it over a framework of facts.&#8221; If the facts fit the theory, this is <em>some</em> evidence that the theory may be valid.</span></p>
<p><span style="font-size: 14px;"><a name="adaptive"></a><b>Adaptive sampling</b></span><br />
<span style="font-size: 14px;"> A method used for sampling rare populations. When you find something that you&#8217;re interested in, you start to look more closely at nearby areas. For example, if you&#8217;re studying a rare disease and find somebody who has it, you sample their neighbours as well. This is often used in quality control &#8211; e.g. when checking every 100th item that comes off the production line, if one day&#8217;s production has more errors than usual, a higher proportion of those products will be checked. Adaptive sampling is more efficient than random sampling, but calculating population estimates becomes more complex.</span></p>
<p><span style="font-size: 14px;"><a name="analysis"></a><b>Analysis</b></span><br />
<span style="font-size: 14px;"> Understanding something by dividing into smaller parts, and studying each part separately. The opposite of analysis is <a href="http://www.audiencedialogue.net/gloss-quant.html#synthesis">synthesis</a>. Survey analysis involves considering the responses to each survey question and pairs of questions.</span></p>
<p><span style="font-size: 14px;"><a name="axiom"></a><b>Axiom</b></span><br />
<span style="font-size: 14px;"> A statement that is so obvious that it&#8217;s a starting point for any research. For example, the laws of arithmetic are axioms. To say that something is <b>axiomatic</b> is to imply that it must be true. But beware! Sometimes axioms are revealed to be assumptions that are not always true.</span></p>
<p><span style="font-size: 14px;"><a name="birthday"></a><b>Birthday rule</b></span><br />
<span style="font-size: 14px;"> When a researcher contacts a household and says &#8220;I&#8217;d like to interview the person who last had a birthday&#8221; this is not an advertising gimmick, but a way of ensuring<a href="http://www.audiencedialogue.net/gloss-quant.html#random">randomness</a> - it assumes that people&#8217;s birthdays are spread evenly across the year.</span></p>
<p><span style="font-size: 14px;"><a name="census"></a><b>Census</b></span><br />
<span style="font-size: 14px;"> Survey of a whole <a href="http://www.audiencedialogue.net/gloss-quant.html#pop">population</a>. Most countries have a Population Census (with a capital C) every 5 or 10 years, but a researched population can be much smaller. Thus a census (with a small c) of all staff of an organization would be a survey where everybody was sampled.</span></p>
<p><span style="font-size: 14px;"><a name="children"></a><b>Children</b></span><br />
<span style="font-size: 14px;"> In market research, children are defined internationally by ESOMAR (<a href="http://www.esomar.org/"> www.esomar.org</a>) as people aged under 14. Their parents&#8217; permission is needed to interview them. Some countries have specific laws on this, and have higher age limits &#8211; up to 18.</span></p>
<p><span style="font-size: 14px;"><a name="cluster"></a><b>Cluster</b></span><br />
<span style="font-size: 14px;"> When you are surveying people in their homes, it&#8217;s very expensive to travel all around a city, interviewing at one home in each suburb. For efficiency, most door-to-door surveys use cluster sampling, where a starting address is chosen at random, and interviewing is done at a number of nearby homes &#8211; often about 10 of them.</span></p>
<p><span style="font-size: 14px;"><a name="convenience"></a><b>Convenience sample</b></span><br />
<span style="font-size: 14px;"> Using a sample of people who happen to be handy or easy to survey. May be OK in preliminary research, but not guaranteed to be representative of the population. Cf. <a href="http://www.audiencedialogue.net/gloss-quant.html#random">random</a> and <a href="http://www.audiencedialogue.net/gloss-quant.html#purposive">purposive</a> samples.</span></p>
<p><span style="font-size: 14px;"><a name="deduction"></a><b>Deduction</b></span><br />
<span style="font-size: 14px;"> Deduction is what you do when you know the principles of something, and deduce a particular case. For example, if you know the principles of arithmetic, you can deduce that 23 + 161 = 184, even if you have never seen this example before. <a href="http://www.audiencedialogue.net/gloss-quant.html#induction">Induction</a> is the opposite process. See also <a href="http://www.audiencedialogue.net/gloss-quant.html#abduction">abduction</a>.</span></p>
<p><span style="font-size: 14px;"><a name="dependent"></a><b>Dependent variable</b></span><br />
<span style="font-size: 14px;"> A statistical term for whatever measure you are trying to predict. See <a href="http://www.audiencedialogue.net/gloss-quant.html#independent">independent variable</a>and <a href="http://www.audiencedialogue.net/gloss-stats.html#regression">regression</a>.</span></p>
<p><span style="font-size: 14px;"><a name="dwelling"></a><b>Dwelling</b></span><br />
<span style="font-size: 14px;"> The premises where a <a href="http://www.audiencedialogue.net/gloss-quant.html#household">household</a> lives. May be a house, flat, caravan, boat, etc. It is a place, not a group of people.</span></p>
<p><span style="font-size: 14px;"><a name="effss"></a><b>Effective sample size</b></span><br />
<span style="font-size: 14px;"> If you interview two people at the same household, and ask them a question they give the same answer to &#8211; such as &#8220;how many TV sets are in your home?&#8221; the effective sample size is not 2 people but 1. People in the same household tend to give identical answers, so in order not to waste interviews, it&#8217;s often best to interview only one person per household. Cf. <a href="http://www.audiencedialogue.net/gloss-quant.html#samplesize">sample size</a>.</span></p>
<p><span style="font-size: 14px;"><a name="empirical"></a><b>Empirical</b></span><br />
<span style="font-size: 14px;"> Based on actual data. You might believe that 50% of the population is male and 50% female, but empirical data for nearly all countries shows that the balance is closed to 49% men and 51% women. The opposite of empirical is <a href="http://www.audiencedialogue.net/gloss-quant.html#theoretical">theoretical</a>.</span></p>
<p><span style="font-size: 14px;"><a name="error"></a><b>Error types</b></span><br />
<span style="font-size: 14px;"> Because a survey doesn&#8217;t include all members of a population, or include all possible questions, various types of error can occur&#8230;</span><br />
<span style="font-size: 14px;"> <b>Type I error (error of the first kind</b>): Finding a result statistically significant when in fact it is not, i.e. when a survey wrongly finds something that doesn&#8217;t exist in the population.</span><br />
<span style="font-size: 14px;"> <b>Type II error</b>: When a survey finds that a result is not significant, though in fact it is.</span><br />
<span style="font-size: 14px;"> <b>Type III error</b>: Getting the right answer to the wrong problem. (Not so easily quantified.)</span></p>
<p><span style="font-size: 14px;">Another way of looking at error types depends on the source of the error&#8230;</span><br />
<span style="font-size: 14px;"> <b>Coverage error </b>- when the population sampled wasn&#8217;t quite the population wanted. (Maybe a survey only included people who lived in the area, not visitors.)</span><br />
<span style="font-size: 14px;"> <b>Non-response error </b>- error that arises because some of the people chosen for the sample did not participate (e.g. if children avoided having their height measured, the average height measured in the survey would be too high).</span><br />
<span style="font-size: 14px;"> <b>Measurement error </b>- When responses weren&#8217;t measured accurately (e.g. it&#8217;s not easy to measure people&#8217;s height when they&#8217;re moving).</span><br />
<span style="font-size: 14px;"> <b>Sampling error </b>- because the survey used one sample of respondents rather than another. As long as the sample was chosen at random, the amount of sampling error is predictable &#8211; e.g. &#8220;there&#8217;s a 95% chance that the average height of all people is within 3cm of the average of our sample&#8221;.</span></p>
<p><span style="font-size: 14px;"><a name="generalization"></a><b>Generalization</b></span><br />
<span style="font-size: 14px;"> When you generalize from a particular case to a broad conclusion, you are making a generalization. For example, &#8220;All my friends agree with me on this question, so everybody else must agree with me too.&#8221; On a more professional scale, when a survey takes a sample from a population, the results are based on the sample, but are generalized to the whole population that the sample was taken from. See <a href="http://www.audiencedialogue.net/gloss-quant.html#sample">sample</a> and <a href="http://www.audiencedialogue.net/gloss-quant.html#pop">population</a></span></p>
<p><span style="font-size: 14px;"><a name="household"></a><b>Household</b></span><br />
<span style="font-size: 14px;"> A group of people who live in the same <a href="http://www.audiencedialogue.net/gloss-quant.html#dwelling">dwelling</a>, and usually eat together. A household is usually the same as a family, but sometimes several families share one household.</span></p>
<p><span style="font-size: 14px;"><a name="hypothesis"></a><b>Hypothesis</b></span><br />
<span style="font-size: 14px;"> A statement or proposition capable of being tested. It must be stated in enough detail that its truth can be confirmed, e.g. by a survey. For example, &#8220;TV news is more interesting than comedies is not a hypothesis, but &#8220;Most Australians think that TV news is more interesting than comedies&#8221; <em>is</em> a hypothesis. A set of related hypotheses can be built into a <a href="http://www.audiencedialogue.net/gloss-quant.html#theory">theory</a>.</span></p>
<p><span style="font-size: 14px;"><a name="independent"></a><b>Independent variable</b></span><br />
<span style="font-size: 14px;"> One of a set of measures which is used to predict a <a href="http://www.audiencedialogue.net/gloss-quant.html#dependent">dependent variable</a>. See <a href="http://www.audiencedialogue.net/gloss-stats.html#regression">regression</a>.</span></p>
<p><span style="font-size: 14px;"><a name="induction"></a><b>Induction</b></span><br />
<span style="font-size: 14px;"> Inferring a general principle from a number of examples. The counterpart of <a href="http://www.audiencedialogue.net/gloss-quant.html#deduction">deduction</a>. See also <a href="http://www.audiencedialogue.net/gloss-quant.html#abduction">abduction</a>.</span></p>
<p><span style="font-size: 14px;"><a name="market"></a><b>Market</b></span><br />
<span style="font-size: 14px;"> An area of interest for a commercial organization, usually corresponding with the area where a survey is done. See <a href="http://www.audiencedialogue.net/gloss-quant.html#pop">population</a>. A market can also be restricted to a type of product or service, e.g. the musical-instrument market in Vietnam.</span></p>
<p><span style="font-size: 14px;"><a name="maxvar"></a><b>Maximum Variation sampling</b></span><br />
<span style="font-size: 14px;"> Also called a <b>maximum diversity sampling</b>. A type of <a href="http://www.audiencedialogue.net/gloss-quant.html#purposive">purposive</a> sampling in which respondents are chosen to be as different as possible from one another. When sample sizes are small (less than about 30) maximum variation samples can be more <a href="http://www.audiencedialogue.net/gloss-quant.html#repres">representative</a> than random samples.</span></p>
<p><span style="font-size: 14px;"><a name="mesh"></a><b>Mesh block</b></span><br />
<span style="font-size: 14px;"> The smallest <a href="http://www.audiencedialogue.net/gloss-quant.html#census">census</a> unit, known as a Collector&#8217;s District in some countries.</span></p>
<p><span style="font-size: 14px;"><a name="mirror"></a><b>Mirror sample</b></span><br />
<span style="font-size: 14px;"> When you suspect that respondents may not tell the truth about their behaviour, you can use a mirror sample. Instead of asking about &#8220;you&#8221;, ask each respondent to think of a close friend of the same sex and age group, and ask them to answer for that friend &#8211; without naming the friend. The theory is that, because they don&#8217;t know all the details about their friends, they&#8217;ll really describe their own behaviour. Mirror samples have been used in <a href="http://www.audiencedialogue.net/gloss-quest.html#kap">KAP surveys</a>, to ask about sexual behaviour, in studies of AIDS. Similar to <a href="http://www.audiencedialogue.net/gloss-quest.html#third">third person technique</a>.</span></p>
<p><span style="font-size: 14px;"><a name="n"></a><b>n</b></span><br />
<span style="font-size: 14px;"> Shorthand for <a href="http://www.audiencedialogue.net/gloss-quant.html#sample">sample size</a>, or number of <a href="http://www.audiencedialogue.net/gloss-data.html#respondent">respondents</a>, as in n=500. Technically it should be lower-case n, but upper case N is often used.</span></p>
<p><span style="font-size: 14px;"><a name="panel"></a><b>Panel</b></span><br />
<span style="font-size: 14px;"> A group of respondents who agree to be surveyed a number of times &#8211; for exmple, each month, for a year &#8211; in order to detect trends in their behaviour or opinions. For regular surveys, this is also cheaper than finding new respondents each time. However there&#8217;s a risk of <b>panel conditioning</b> - when members&#8217; behaviour is affected by their being on the panel, thus making them less representative.</span></p>
<p><span style="font-size: 14px;"><a name="paradata"></a><b>Paradata</b></span><br />
<span style="font-size: 14px;"> Information from a survey, apart from respondents&#8217; answers to questions. Includes interview times and dates, respondent&#8217;s address, name of interviewers, and time taken on the questionnaire. In internet surveys, paradata includes the time the response was submitted and the IP number of the respondent&#8217;s computer.</span></p>
<p><span style="font-size: 14px;"><a name="pop"></a><b>Population</b></span><br />
<span style="font-size: 14px;"> Everybody (or thing) of a defined type, which could possibly be surveyed. Often the number of adults in a defined geographical area or <a href="http://www.audiencedialogue.net/gloss-quant.html#market">market</a>. Also known as<b>universe</b>.</span></p>
<p><span style="font-size: 14px;"><a name="probabilistic"></a><b>Probabilistic sample</b></span><br />
<span style="font-size: 14px;"> A more general term for a <a href="http://www.audiencedialogue.net/gloss-quant.html#random">random</a> sample.</span></p>
<p><span style="font-size: 14px;"><a name="probability"></a><b>Probability</b></span><br />
<span style="font-size: 14px;"> Chance, expressed as a percentage or decimal. E.g. a 50-50 chance is a probability of 50%, or 0.50. <b>Odds</b> of 3 to 1 correspond to a probability of 25%.</span></p>
<p><span style="font-size: 14px;"><a name="purposive"></a><b>Purposive sample</b></span><br />
<span style="font-size: 14px;"> A type of non-random sample in which respondents are specifically sought out. For example, an industrial research project may use a purposive sample of organizations which are the largest buyers of a product, or a survey of poverty may be done only in the poorest localities in the area surveyed. Contrasts with<a href="http://www.audiencedialogue.net/gloss-quant.html#random">random</a> and <a href="http://www.audiencedialogue.net/gloss-quant.html#convenience">convenience</a> samples. A special type of purposive sample is the <a href="http://www.audiencedialogue.net/gloss-quant.html#maxvar">maximum variation sample</a>.</span></p>
<p><span style="font-size: 14px;"><a name="quota"></a><b>Quota sampling</b></span><br />
<span style="font-size: 14px;"> An alternative to <a href="http://www.audiencedialogue.net/gloss-quant.html#random">random</a> sampling, often used in street surveys. For example, if each sex makes up 50% of the population, 50% of interviews must be with men and 50% with women. A random sample will get 50% of each, on average, but a quota sample will get 50% every time. Nevertheless, other things being equal, a random sample is more accurate than a quota sample.</span></p>
<p><span style="font-size: 14px;"><a name="random"></a><b>Random</b></span><br />
<span style="font-size: 14px;"> A type of <a href="http://www.audiencedialogue.net/gloss-quant.html#sample">sample</a>, selected in a way that gives each member of the <a href="http://www.audiencedialogue.net/gloss-quant.html#pop">population</a> an equal chance of being included in the sample.</span></p>
<p><span style="font-size: 14px;"><a name="rdd"></a><b>Random digit dialling.</b></span><br />
<span style="font-size: 14px;"> Selecting numbers at random to produce telephone numbers to be dialled &#8211; usually beginning with a prefix with numbers known to exist, and adding some random digits on the end. Often abbreviated as <b>RDD</b>.</span></p>
<p><span style="font-size: 14px;"><a name="randomwalk"></a><b>Random walk</b></span><br />
<span style="font-size: 14px;"> In door to door surveys, a technique for gathering a random sample of households after starting at a particular point. E.g. turning left after leaving the first house, walking anti-clockwise around the block and trying to interview somebody at every fourth house. Notice that, though it&#8217;s called a random walk, the selection of households follows a clear rule.</span></p>
<p><span style="font-size: 14px;"><b>RDD</b> = <a href="http://www.audiencedialogue.net/gloss-quant.html#rdd">random digit dialling</a>.</span></p>
<p><span style="font-size: 14px;"><a name="reliability"></a><b>Reliability</b></span><br />
<span style="font-size: 14px;"> A statistical term used in assessing an <a href="http://www.audiencedialogue.net/gloss-quest.html#instrument">instrument</a>, meaning consistency or predictability. E.g. a survey question has 100% reliability if the survey is repeated and each respondent gives the same answer both times. See <a href="http://www.audiencedialogue.net/gloss-quant.html#validity">validity</a>.</span></p>
<p><span style="font-size: 14px;"><a name="repres"></a><b>Representativeness</b></span><br />
<span style="font-size: 14px;"> A sample is <b>representative</b> when it accurately reflects the population it is drawn from. When drawan at random, a very large sample can be assumed to be representative, but a small sample may be unrepresentative. To guard against unrepresentativeness, a sample can be <a href="http://www.audiencedialogue.net/gloss-quant.html#strat">stratified</a>, or a <a href="http://www.audiencedialogue.net/gloss-quant.html#maxvar">maximum variation ample</a>can be drawn.</span></p>
<p><span style="font-size: 14px;"><a name="response"></a><b>Response rate</b></span><br />
<span style="font-size: 14px;"> The number of questionnaires completed, as a percentage of the number of people who were approached in the survey. For example, if 100 people are asked to participate, and 70 questionnaires are completed, the response rate is 70%. Also known as <b>Return rate</b>. See also <a href="http://www.audiencedialogue.net/gloss-quant.html#strike">strike rate</a>.</span></p>
<p><span style="font-size: 14px;"><a name="sample"></a><b>Sample</b></span><br />
<span style="font-size: 14px;"> Part of a <a href="http://www.audiencedialogue.net/gloss-quant.html#pop">population</a>: everybody (or everything) from who (or which) data was gathered.</span></p>
<p><span style="font-size: 14px;"><a name="samplesize"></a><b>Sample size</b></span><br />
<span style="font-size: 14px;"> The number of questionnaires completed in a survey. Usually equals the number of people interviewed. Often shown in computer printouts as <b>N</b>. See also <a href="http://www.audiencedialogue.net/gloss-quant.html#effss">effective sample size</a>.</span></p>
<p><span style="font-size: 14px;"><a name="samplingerror"></a><b>Sampling error</b></span><br />
<span style="font-size: 14px;"> The inaccuracy that arises because you interviewed one sample of the population rather than another equivalent sample. If the whole population is interviewed (see <a href="http://www.audiencedialogue.net/gloss-quant.html#census">census</a>), there can be no sampling error.</span></p>
<p><span style="font-size: 14px;"><a name="samplingfraction"></a><b>Sampling fraction</b></span><br />
<span style="font-size: 14px;"> The fraction of the population that is sampled for a survey. Often a very small figure, like 1 in 1000. The sampling fraction is the reciprocal of the <a href="http://www.audiencedialogue.net/gloss-data.html#raising">raising factor</a>.</span></p>
<p><span style="font-size: 14px;"><a name="strat"></a><b>Stratification</b></span><br />
<span style="font-size: 14px;"> A <b>stratified</b> sample is one divided into a number of smaller samples. For example, in a survey covering a city, a stratified sample would divide the city into a number of smaller areas or <b>strata</b> (of known population) and sample a specific number of households in each <b>stratum</b>.</span></p>
<p><span style="font-size: 14px;"><a name="strike"></a><b>Strike rate </b></span><br />
<span style="font-size: 14px;"> A measure used in telephone surveys, similar to response rate. Usually expressed as the number of interviews made as a proportion of people contacted, thus higher than <a href="http://www.audiencedialogue.net/gloss-quant.html#response">response rate</a>.</span></p>
<p><span style="font-size: 14px;"><a name="synthesis"></a><b>Synthesis</b></span><br />
<span style="font-size: 14px;"> An understanding that comes from combining separate data into a whole. Almost the opposite of <a href="http://www.audiencedialogue.net/gloss-quant.html#analysis">analysis</a>.</span></p>
<p><span style="font-size: 14px;"><a name="theory"></a><b>Theory</b></span><br />
<span style="font-size: 14px;"> A theory is usually a set of <a href="http://www.audiencedialogue.net/gloss-quant.html#hypothesis">hypotheses</a>, suggesting a form of causal connection between sets of variables. A well known example is Darwin&#8217;s theory of evolution. When knowledge is described as <a name="theoretical"></a><b>theoretical</b>, it&#8217;s based on a theory, but when knowledge is based on actual data, it&#8217;s known as <a href="http://www.audiencedialogue.net/gloss-quant.html#empirical">empirical</a>.</span></p>
<p><span style="font-size: 14px;"><a name="universe"></a><b>Universe</b> = <a href="http://www.audiencedialogue.net/gloss-quant.html#pop">population</a>.</span></p>
<p><span style="font-size: 14px;"><a name="validity"></a><b>Validity</b></span><br />
<span style="font-size: 14px;"> The extent to which an <a href="http://www.audiencedialogue.net/gloss-quest.html#instrument">instrument</a> is measuring what it&#8217;s supposed to be measuring. For example, counting growth rings is a valid measure of a tree&#8217;s age. If no measure is fully valid, indicators can be used. See also <a href="http://www.audiencedialogue.net/gloss-quant.html#reliability">reliability</a>.</span></p>
<p><span style="font-size: 14px;">Font: <a href="http://www.audiencedialogue.net/gloss-quant.html" target="_blank">Link &gt;&gt;&gt;</a></span></p>
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		<description><![CDATA[Adrenaline – See Epinephrine. Allergen &#8211; A substance that causes an allergic reaction. Allergenic – Describes a substance that produces an allergic reaction. Anaphylaxis – A severe [...]]]></description>
				<content:encoded><![CDATA[<p>Adrenaline – See Epinephrine.</p>
<p>Allergen &#8211; A substance that causes an allergic reaction.</p>
<p>Allergenic – Describes a substance that produces an allergic reaction.</p>
<p>Anaphylaxis – A severe reaction to an allergen that may lead to death.</p>
<p>Antibody – A protein molecule tailor-made by the immune system to detect and help destroy invaders, such as bacteria, viruses, and toxins.</p>
<p>Bacteria – Single-celled microbes that have no nucleus. Some bacteria are potentially disease causing.</p>
<p>Basophils – White blood cells that contribute to allergic inflammatory reactions.</p>
<p>Celiac disease – An autoimmune disease of the digestive system that damages the small intestine and interferes with the absorption of the nutritional content of food. People who have celiac disease cannot tolerate gluten (a protein in wheat, rye and barley).</p>
<p>Eczema – The term for a group of allergic conditions that causes the skin to become inflamed and is characterized by redness, itching, and oozing lesions that become crusty. The most common type of eczema is known as atopic dermatitis, or atopic eczema and is particularly common in young children and infants.</p>
<p>Elimination diet – Removal of certain foods from a person’s diet.</p>
<p>Enzyme – A protein produced by living cells that promotes specific biochemical reactions.</p>
<p>Epinephrine – A Hormone, also called adrenaline, that works rapidly to contract blood vessels, preventing them from leaking fluid. It also relaxes airways, relieves cramping in the gastrointestinal tract, decreases swelling, and blocks itching and hives. Epinephrine is the drug in an EpiPen used to counter an anaphylactic reaction.</p>
<p>Esophagus – The passageway through which food moves from the throat to the stomach.</p>
<p>Extract – A liquid preparation containing food allergens from specific food.</p>
<p>Gastrointestinal Tract (GI) – The organ system of the body that includes the esophagus, stomach, and small and large intestine.</p>
<p>Histamine – A chemical stored in the granules of mast cells and basophil granules prior to release.</p>
<p>Histamine toxicity –A reaction which resembles an allergic reaction, to eating foods containing high levels of histamine.</p>
<p>Hives – A raised itchy area of skin that is usually a sign of an allergic reaction.</p>
<p>Immune system – A complex network of cells, tissues and organs that defends the body against attacks by disease-causing microbes.</p>
<p>Immunoglobulin – One of a large family of proteins, also known as antibody.</p>
<p>Lactase – The enzyme responsible for breaking down lactose in the gun. Lactase is produced by cells lining the small intestine.</p>
<p>Lactose intolerance – The inability to digest lactose, a kind of sugar found in milk and other food products, because of a shortage of the enzyme lactase.</p>
<p>Mast cells – Large granule-containing cells that are found in body tissues where typical allergic reactions occur.</p>
<p>Microbes – Tiny life forms, such as bacteria and fungi, that are visible only under a microscope. They may cause disease.</p>
<p>Molecule – A group of atoms chemically joined together. In a cell, example of different molecules include proteins, fats and carbohydrates.</p>
<p>Proteins – Large molecules composed of one or more chains of amino acids.</p>
<p>Tolerance – A state in which a person with a food allergy fails to develop allergic reactions after ingesting specific foods. This lack of response is sustained over a long period of time.</p>
<p>Tissues – Groups of similar cells joined to perform the same function.</p>
<p>Toxins – Agents produced by plants and bacteria that are poisonous and may also trigger allergic reactions.</p>
<p><em>Font: Food Allergy. An Overview. NIAID Health Information. National Institute of Health. National Institute of Allergy and Infectious Diseases. USA.</em></p>
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