14185464 importance of research in nursing

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    I. Importance of Research in nursing

    1. Research is an important tool for the continual development of a relevant body of

    knowledge in nursing.

    2. Research generates information from nursing investigations which help define the

    unique role of nursing as a profession.

    3. Professional accountability of nurses to their clients is demonstrated when nursesincorporate research evidence into their clinical decisions.

    4. Research facilitates evaluation of the efficacy of nurses; practice which may

    articulate their role in the delivery of health services.

    5. Another reason for nurses to engage in research involves the spiraling costs of

    health care and the cost-containment practices being instituted in health care

    facilities. With research, costly trial-an-error and even unsafe interventions are

    avoided.

    6. Research may allow nurses to make more informed decisions as each phase of the

    nursing process is clarified through research.

    Research also enables nurses to

    7. understand a particular nursing situation about which little is known,

    8. assess the need for an intervention,

    9. identify factors that must be considered in planning nursing care,

    10. predict the probable outcomes of certain nursing decisions,

    11. control the occurrence of undesired outcomes,

    12. provide advice to enhance client health, and

    13. initiate activities to promote appropriate client behavior.

    II. Main difference between quanti and quali research

    Similarity:

    Both methodologies require researcher expertise, involve rigor in conducting the study,

    and generate scientific knowledge for nursing practice.

    Differences:

    1. In terms of their philosophical underpinnings, quantitative research is based on

    logical positivism while qualitative research is naturalistic, interpretive, and

    humanistic

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    2. In terms of focus, quantitative research is objective, concise, and reductionist,

    while

    qualitative research is broad, subjective, and holistic.

    3. In terms of reasoning, quantitative research is logistic and deductive while

    qualitative research is dialectic and inductive.

    4. In terms of their basis of knowing, quantitative research is based on discovering

    cause-and-effect relationships while qualitative research is based on meaning,

    discovery, and understanding.

    5. In terms of their theoretical focus, quantitative research tests theory while

    qualitative research develops theory

    6. In terms of their basic element of analysis, quantitative research uses numbers,

    while qualitative research uses words

    7. Quantitative research utilizes statistics to make generalization while qualitative

    research looks into individual interpretation to find the uniqueness of aphenomenon.

    III.Major steps in quantitative research

    Phase I: The conceptual Phase

    1. Formulating and delimiting the problem

    Example:

    Do women who attend structured antenatal classes have higher scores in the

    labor and delivery knowledge test and experience less pain in labor?

    2. Next step will be to review related literatures

    A. Identify key words/phrases

    Pregnancy

    Primigravid woman

    Antenatal care and existing programs

    Stages of Labor and delivery process

    Labor pains

    Gate control theory of pain

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    Learning theories

    B. Identify possible resources

    A. Maternal and child health nursing books

    B. Surf the net Pubmed/Medline, Cochrane Library

    C. Library search for relevant journals such as The American Journalof Obstetric and Gynecology Nursing, Nursing Research Journal,

    Public Health Nursing Journal

    3. Interview clinicians (OB-GYNe nurses, doctors, public health nurses) do

    benchmarking

    4. Explore theory of reasoned action, or the health belief model if these can support

    proposed study.

    5. Hypotheses: Women who attend structured antenatal classes obtain higher

    test scores in the labor and delivery knowledge test than women whodo not attend.

    Women who attend structured antenatal classes throughout

    pregnancy request less analgesia during the first stage of labor.

    There is no significant difference in the test scores from a labor and

    delivery knowledge test between women who attend and those

    who do not attend structured antenatal classes.

    There is no significant difference in the number of requests for

    analgesia during the first stage of labor between women who attended and

    those who did not attend structured antenatal classes.

    Phase II: The design and planning phase

    6. Choose a nonequivalent group pretest and post test quasi-experimental

    design. Since it is difficult to determine the population of all primigravid women in

    Dumaguete City or the province of Negros Oriental, it is not very feasible to come

    up with a sampling frame where actual subjects will be drawn. A modified sampling

    design where the decision to which group will the first qualified subject should

    belong will be done through simple random sampling by tossing a coin.

    7. A well structured antenatal care class program will be designed. It shall include the

    following topics and activities:

    Normal physiology of pregnancy, labor and delivery

    The psychological aspects of pregnancy, labor and delivery

    Discomforts experienced during labor and how to manage them.

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    Prenatal exercises in preparation of the labor and delivery process

    Factors that may affect pain experience during labor and delivery.

    8. The population is all primigravid women on their second trimester of pregnancy

    who are residing in the barangays of the randomly chosen towns and cities of

    Negros oriental at the time of program implementation.

    9. Cluster sampling will be used. Clusters will be the basis starting with towns andcities, two towns and two cities will be chosen at random. From these towns and

    cities will be drawn the barangays included in the study. A total of four barangays

    (2 urban and 2 rural) will be drawn from each of these barangays. All primigravid

    mothers will be recruited from each of these barangays. To prevent contamination,

    all women from the barangays that are randomly assigned to the control group will

    be tested first. After the post test has been conducted for the control group,

    women of the barangays randomly assigned to the experimental group will be

    exposed to the structured antenatal care program after the pretest and then a post

    test will also be given.

    10. A 20-item knowledge test will be developed which will be used for the pre

    and post test measure on knowledge. To measure number of analgesia, a

    monitoring scheme will be devised which will be used to record number of askings

    for analgesics indicating frequency, dosage, response and person administering

    the intervention.

    11. An informed consent will be secured from each participant. A set of inclusion

    criteria will also be specified. Recruitment of subjects should be without any form

    of coercion or threat. Women of both groups will continue to attend usual prenatal

    check-ups at their barangay health stations.

    12. Trainings for program facilitators and data collectors will be done at least a

    month prior to actual conduct of the study. Prepared data gathering tools will be

    submitted for expert scrutiny through Delphi technique. Knowledge test measure

    will be submitted for item analysis and content validity with some experts.

    Phase III: The empirical phase

    13. A Pilot test will be done in a barangay with similar characteristics with those

    included in the study. After refining all processes and protocols a Gantt chart willbe shared with all study facilitators.

    14. Actual data gathering, then data processing and analysis preparation will be

    done

    Phase IV: The Analytic Phase

    15. Data analysis using descriptive and inferential statistics

    16. Interpreting results

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    Phase V: the Dissemination Phase

    17. Present findings in proper fora

    18. Utilizing findings in practice.

    IV. Steps in Conducting Literature ReviewA literature review is a summary of previous research on a topic. Some questions to think about

    as one develops the literature review:

    *What is known about the subject?*Are there any gaps in the knowledge of the subject?*Have areas of further study been identified by other researchers that I may want to consider?*Who are the significant research personalities in this area?* Is there consensus about the topic?* What aspects have generated significant debate on the topic?*What methods or problems were identified by others studying in the field and how might they

    impact my research?*What is the most productive methodology for my research based on the literature I havereviewed?

    * What is the current status of research in this area?*What sources of information or data were identified that might be useful to my study?

    How to do a literature Review

    Steps to take:

    1. Define the topic - In order to begin my literature review I must first define my research

    question.

    What is the purpose? What does it mean? What are the key words? Are there

    other words which could be used, such as synonyms, variations in spelling? What do I

    already know about the topic? What is the scope? Do I need everything ever

    written in English on this topic, or just the last ten years?

    2. Develop a search strategy

    Compiling a list of keywords - Before beginning a search for information, it is

    important to develop a search strategy that will most effectively locate useful, relevantinformation. This will often involve breaking down the research question into:

    keywords or phrases; entering the search; and evaluating results to determine

    whether I need to employ various strategies to broaden, narrow or otherwise

    modify my research.

    Analyzing the topic of a research topic usually involves making a list of keywords or

    phrases. I will need to include all the key concepts or ideas contained within the research

    question. It might be useful to include alternative ways of phrasing and expressing

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    concepts and ideas. I will think about both general terms and very specific terms for

    broadening and narrowing my search. The keyword or phrase is the basic unit of any

    search. I may find it helpful to consult subject dictionaries and encyclopedias, or a

    textbook glossary for the common terminology of the subject area. I may also consider

    the use of an index and/or thesaurus which is also advisable to establish the useful terms.

    3. Identify resources

    Information is available in a number of formats. It is important for me to understand the

    significance of various formats so that I will know what will best suit my information

    requirements.

    *Books *Indexes/Abstracts Printed (e.g. CINAHL)

    *Reference Materials *Electronic Databases

    * Journals *Government publications

    *Conference Papers * Internet (Medline, Cochrane Library)

    * Dissertations * Theses

    V. Examples of a statement of a problem and research questions:

    Examples of a problem statement:

    A. Patients concerns about reporting pain and using analgesics are

    barriers to adequate pain managementDespite extensive attention

    to issues of pain managementfew studies have been conducted

    testing impact of intervention on cancer pain

    B. Current policy at most hospitals requires the use of routine

    flushing of heparin locks after administration of medication or

    flushing heparin locks every 8 hours when not being used for

    medication administration. However, there is disagreement on

    whether flushes of low doses of heparin are necessary to maintain

    the patency of heparin locks....

    C. Nursing studies have shown that nursing care delivery changesaffect staff and organizational outcomes, but the effects on client

    outcomes have not been studied sufficiently (Blegen, Goode, &

    Reed, 1998).

    Examples of Research questions:

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    A. What is the relationship between reported depressive symptoms

    and rate of return to work for patients following cardiac surgery?

    B. What is the relationship of anxiety and compliance with medications

    and follow-up appointments for patients following cardiac surgery?

    Examples of a problem statement and related research questions:

    The Problem:

    Patients concerns about reporting pain and using analgesics are

    barriers to adequate pain managementDespite extensive attention

    to issues of pain managementfew studies have been conducted

    testing impact of intervention on cancer pain

    Research Questions:

    1. What is the effect of a PRN pain medication protocol in

    the Cancer patients reported pain relief concerns?

    2. What is the effect of a round-the-clock analgesic use

    protocol in the cancer patients reported pain relief

    concerns?

    3. Is there is a significant difference in pain relief between

    cancer patients receiving PRN pain medication and cancer

    patients receiving round-the-clock pain medication?

    VI. Determining Appropriate Research Design

    Appropriateness of a design considers several factors. These factors includethe following:

    1. To set up a situation that maximizes the possibilities of obtaining validanswers to research questions or hypotheses.

    2. To achieve greater control, and thus improve the validity of the study inexamining research problem

    3. The design selected must be:

    Appropriate to the purpose of the studydescribe...determine differences between groups...examine relationships among...determine the effect of...

    - Appropriateness to the research questiona. Whether the design does the possible job of providing trustworthy

    answers to the research questions.b. A given research question can be addressed with a number of

    different designs.

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    c. Many designs are completely unsuitable for dealing with certainresearch problems

    d. There are many research questions of interest to nurses for whichhighly structured designs are unsuitable.

    - Lack of Bias (The lack of unwanted influences that can produce adistortion in the results of a study.)The goals of experimental research can be summarized by four Majorquestions:

    What is the strength of the evidence that a relationship existsbetween two variables?

    If a relationship exists, what is the strength of the evidence thatthe independent variable of interest (e.g. an intervention),rather than extraneous variables, caused the outcome?

    If the relationship is plausibly causal, what are the theoreticalconstructs underlying the related variables?

    If the relationship is plausibly causal, what is the strength ofevidence that the relationship is generalizable across people,settings, and time?

    4. Feasible given realistic constraints5. Effective in reducing threats to validity.Elements of a good research design:

    Use of Comparison groups- Comparison between 2 or more groups

    e.g. study the emotional consequences of having an abortion, to dothis, we might compare the emotional status of womenwho had an abortion with that of women with an unintendedpregnancy who delivered the baby.- Comparison of one groups status at two or more points in time

    e.g. we might want to assess patients level of stress before and

    after introducing a new procedure to reducepreoperative stress.- Comparison of one groups status under different circumstances.

    e.g. compare peoples heart rates during two different types ofexercise.- Comparison based on relative rankings.

    e.g. we hypothesized a relationship between level of pain ofcancer patients and their degree of hopefulness.

    Use of methods to control extraneous variables.* Random Sampling

    -increases the probability that subjects with various levels of an

    extraneous variable are included and are randomly dispersedthroughout the groups within the study.

    -this strategy is particularly important for controlling unidentifiedextraneous variables.* Random Assignment

    -enhances the probability subjects with various levels of extraneousvariables are equally dispersed in treatment and control groups.* Homogeneity

    - In this, the researcher limits the subjects to only one level of anextraneous variable to reduce its impact on the study findings.

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    - to use this strategy, the researcher must have previouslyidentified the extraneous variables.

    - this strategy, the researcher might choose to include subjects withonly one level of an extraneous variable in the study.

    Example of homogeneity:the study of breast cancer patients who have been diagnosed

    within one month, at a particular stage of disease, and are receivinga specific treatment of cancer

    * Blocking-the researcher includes subjects with various levels of an

    extraneous variable in the sample but controls the numbers of subjectsat each level of the variable and their random assignment to groupswithin the study.

    -designs using blocking are referred to as randomized blockdesigns.

    -the extraneous variable is then used as an independent variable inthe data analysis.* Matching

    -is used when a subject in the experimental group is randomly

    selected and then a subject similar in relation to important extraneousvariables is randomly selected for the control group.

    Timing of data collection is it longitudinal or cross-sectional Study site and setting is it conducted in laboratory setting or in its

    natural setting? Intervention or the presence or absence of a treatmentVII. Strengths and Weaknesses of the different designs

    1. True Experimental Designs:Some researchers believe that this is the most powerful research

    design as it gives us cause and effect relationships.Strengths: More Controls: in the design and conduct of study

    Increased internal validity: decreased threats to designvalidity

    Fewer Rival HypothesesMore Practical: Ease of implementationMore Feasible: resources, subjects, time, settingMore Generalizable: Comparable to practice

    Weaknesses:-There are a number of variables of interest that are not

    amenable to manipulation. For instance wecannot randomly confer upon infants their weight atbirth to observe the effect of birth weight onsubsequent morbidity.

    - Ethical considerations may prevent the manipulation ofthe independent variable. - You would not inflictpain for the sake of an experiment.

    - Artificial circumstances may affect the results.Laboratory designs take place in an artificial setting.Easier to control for external variables but is not asgeneralizable because it constrains thehuman experience.

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    - Many variables of interest in nursing cannot bemanipulated; difficult or impractical to perform infield settings; the act of being studied influencesresults of a study.

    - The Hawthorne Effect: effect of being in the study groupmay be sufficient to cause people to change theirbehaviors. This is the reason that double blind studiesare conducted. In which neither subject nor those

    who administer the treatment knows which is theexperimental or control group.Quasi-Experimental DesignsSTRENGTHS:

    More Practical: Ease of implementationMore Feasible: resources, subjects, time, settingMore Generalizable: Comparable to practiceused frequently because they are practical, feasible, and

    generalizable.WEAKNESS/DISADVANTAGE involve mainly the inability to make clearcause- and-effect statements.

    Can be remedied by controlling extraneous variables(alternative events that could explain the findings) a priori(before initiating the intervention) by design.Descriptive Survey DesignSTRENGTHS:

    Data are gathered from a more natural setting.Large amount of data can be gathered at fairly reasonable

    cost.Surveys using the questionnaire are likely to cover a wide

    geographical area, reach many people, insurerespondents anonymity, and require less skill toadminister.DISADVANTAGES

    It only collects self reports where selective recall mayintroduce bias.

    Some respondents may not be willing to express attitudes andbeliefs on sensitive topics.

    There may be no chance to observe the study participantsdirectly unless done with interview (which is moreexpensive).Correlational and Ex-post-facto ResearchADVANTAGES:

    Both designs have the advantage of examining the results offactors that could not be studied because of ethicalconstraints.

    Ex-post-facto research can have the researcher examines theeffect, search among the processes of the past toidentify a possible agent whose presence iscorrelated with the effect.DISADVANTAGE:

    The disadvantage of ex-post-facto research is the loss ofcontrol-both manipulation and randomization.

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    The disadvantage of the correlational design is theresearchers tendency to attribute causality todescriptive relationships.

    VIII. How to conduct probability samplingAccording to the types:

    Simple random samplingObjective: Select n units out of N such that every NCn has an

    equal chance.Procedure: Use table of random numbers, computer random

    number generator or mechanical device.Can sample with or without replacement.f=n/N is the sampling fraction.

    Stratified samplingObjective: Population of N units divided into nonoverlapping

    strata N1, N2, N3, ... Ni such that N1 + N2 + ... + Ni= N; then do simple random sample of n/N in each strata.

    Example:

    Proportionate: If sampling fraction is equal for each stratumDisproportionate: Unequal sampling fraction in each stratum

    Needed to enable better representation of smaller (minoritygroups)

    Systematic samplingProcedure:

    Number units in population from 1 to N.Decide on the n that you want or need.N/n=k the interval size.Randomly select a number from 1 to k.Take every kth unit.

    Cluster (area) samplingProcedure:

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    Inferential statistics are based on the laws of probability and on theassumption that the sample/s was/were randomly selected.

    There are two purposes of inferential statistics:1. Estimating population parameter from sample data2. Testing hypothesis about a population

    XI. Difference between parametric and non-parametric statistical testsParametric tests are statistical tests based on assumptions that the

    sample is representative of the population and that the scores are

    normally distributed.Parametric Tests are characterized by three attributes:

    1. They involve the estimation of a parameter2. They require measurements on at least an interval scale3. They involve several assumptions, such as the assumption that the

    variables are normally distributed in the populationNonparametric tests by contrast do not estimate parameters; they are

    used when the data are nominal or ordinal or when a normaldistribution cannot be assumed. This means data need not bequantitative measurements but could be in the form of qualitative responsessuch yes or no, present or absent. They are called distribution-

    free statistics. Their use is encumbered with less restrictive assumptionscompared with their parametric counterparts. Their computation is alsousually quick and easy.

    XII. Ethical PrinciplesThe ultimate consideration is protection of the rights of people who

    participate in nursing research.Ethical concerns are especially prominent in the field of nursing

    because the line of demarcation between what constitutes theexpected practice of nursing and the collection of research informationhas become less distinct as research by nurses increases.

    Ethics poses particular problems to nurse researchers in somesituations because ethical requirements sometimes conflict withmethodologic considerations.

    Three primary ethical principles:1. Principle of beneficence: Above all, do no harm.a. Freedom from harm

    *research should be conducted only by qualified people.*Researcher must be prepared at any time during the study to

    terminate the research if there is reasonto suspect that continuation would result in injury,disability, undue distress, or death.

    How to remedy:-test new medical procedures or drug with animals or tissue

    cultures before proceeding to test with humans.-conduct debriefing sessions that permit participants to ask

    questions after their participation and by providingparticipants with written information on how they maylater contact the researchers.

    b. Freedom from exploitation

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    Participants need to be assured that their participation, or theinformation they might provide to the

    researcher will not be used against them in any way.e.g. subject reporting drug abuse should not fear

    exposure to criminal authorities.c. Benefits from research

    Benefits from research should accrue to society in general orto other individuals.

    d. Risk/Benefit ratioThe degree of risk to be taken by those participating in the

    research should never exceed the potential humanitarianbenefits of the knowledge to be gained.

    2. The principle of respect for human dignitya. The right to self-determination

    This means that prospective participants have the right todecide voluntarily whether to participate in a study, withoutthe risk of incurring any penalties or prejudicial treatment.This also means that people have the right to decide at any

    point to terminate their participation, to refuse to giveinformation, or to ask for clarification about the purpose of thestudy or specific study procedures.

    b. The right to full disclosureFull disclosure means that the researcher has fully described

    the nature of the study, the participants right to refuseparticipation, the researchers responsibilities, and the likelyrisks and benefits that would be incurred.*Informed consent is based on the right to self-determination andthe right to full disclosure

    3. The principle of justicea. Right to fair treatment

    Study participants have the right to fair and equitabletreatment, both before, during, and after their participationin the study.b. Right to privacy

    Study participants have the right to expect that anyinformation collected during the course of a study will be keptin strictest confidence.

    XIII. Ways to collect data1. Data could be gathered in three ways:

    Self Reports

    A researcher collecting structured self-report data for a quantitative

    study almost always uses a formal, written, instrument:

    a. Interview Schedule the instrument used is an interview schedule

    when the questions are asked orally in either face-to-face or

    telephone interviews. Interviews

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    a. Advantages outweigh those of questionnaires in terms of

    response rates, audience, clarity, depth of questioning,

    missing information, order of questions, sample control,

    supplementary data

    b. Questionnaire or SAQ this is the instrument when respondents

    complete the instrument themselves, usually in a paper-and-pencil

    format

    a. Self-administered questionnaires can be distributed in person,

    by mail, or over the internet

    b. Advantages: less costly and require less time and energy to

    administer, offer the possibility of complete anonymity, and

    absence of interviewer ensures no interviewer bias

    Observation

    Unstructured Observations

    Structured Observations

    o Category Systems

    o Checklists

    o Rating Scales

    Biophysiologic Measures

    o Physical Measurement Methods Chemical/biochemicalEKG, BP, I & O Pulse Oximetry

    o Microbiological Blood glucose

    Smears PKU

    Cultures Sensitivities

    Scales

    Rating Scales Semantic Differentials

    Likert Scales Visual Analog Scales

    XIV. Ensuring validity of the study and validity of the research tool

    What is validity?The best available approximation to the truth or falsity of a giveninference, proposition, or conclusionA set of standards by which research can be judged.

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    Conclusion validity - The extent to which the research design issufficiently precise or powerful enough for the detection of effects onthe operationalized variable should they exist

    Elements of conclusion validity:Sufficient powerReasonable evidence to find that the cause and effect covarySignificant covariation

    Threats to conclusion validity:

    Low statistical powerViolated assumptions of statistical testsFishing and the Error Rate problemLow reliability of measuresPoor reliability of treatment implementationRandom irrelevancies in the settingRandom heterogeneity of respondents

    Improving Conclusion Validity:Specific SuggestionsPretest and posttest on same scalesMatch before or after random assignment (but not in place of

    random assignment)

    Use covariatesIncrease reliability, especially of dependent measuresAdjust raw scores for unreliabilityEstimate desired effect magnitude in advanceEach person as own controlPresent effect and standard errorSelect homogeneous samples

    Internal Validity- this refers to the degree to which it can beinferred that the experimental treatment (IV), rather thanuncontrolled extraneous variables, is responsible for observedeffects.

    - This addresses the question: Given a statistical relationshipbetween the IV and the DV, is there evidence that onecauses the other?

    - Extraneous variables present threats to internal validitybecause they offer competing explanations for the observedrelationships between the IV and the DV; that is, theyinterfere with cause-and-effect inferences.

    - True experiments have a high degree of internal validitybecause of the controlling properties of randomization andcontrol groups. Types include:

    History refers to the occurrence of external events that take placeconcurrently with the IV that can affect the DV. Example: Ifwe study the differential effect of two forms of exercise onknee extensor strength, history effects may include somesubjects participation in other athletic activities or othertherapies that affect knee extensor strength.

    2. Maturation This refers to processes occurring withinthe subjects during the course of the study as a result of thepassage of time rather than as a result of a treatment or IV.

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    - Maturation effects may cause subjects to respond differentlyon a second measurement because they have grown older,stronger, healthier, tired or bored since the first measurement.

    - Maturation is a relevant consideration in many areas ofnursing research. Maturation does not refer to aging ordevelopment exclusively but rather to any change that occurs asa function of time. Thus wound healing, postop recovery, andmany bodily changes that can occur with little or no nursing or

    medical intervention must be considered as an explanation basedon the effects of the IV.

    3. Testing This refers to the effects of taking a pre-test onsubjects performance on a post- test.

    - The mere act of collecting data changes the response that isbeing measured particularly in those that deal withopinions and attitudes.

    - In true experiments, testing may not be a problem becauseits effects would be expected to be about equal in allgroups.

    - The Solomon four-group design could be used if researchers

    wanted to isolate intervention effects from pre-testeffects.

    4. Selection This encompasses biases resulting frompre-existing differences between groups.

    - When individuals are not assigned randomly to groups. Thereis always a possibility that the groups are non-equivalent.

    - They may differ in ways that are subtle and difficult todetect.

    - If the groups are non-equivalent, differences on outcomesmay result from initial differences rather than from the effect of the IV.

    5. Mortality Also called attrition, refers to the differential loss ofsubjects from comparison groups; that is dropouts occur forspecific reasons related to the experimental situation.

    - The loss of subjects during the course of a study may differfrom one group to another because of a priori differences in interest,motivation, health, etc.

    - The risk of attrition is especially great when the length oftime between points of data collection is long.

    - If attrition is random (i.e. those dropping out of a study aresimilar to those remaining in it with respect to extraneouscharacteristics), then there would not be bias.

    - In general, the higher the rate of attrition, the greater the

    likelihood of bias.

    6. Instrumentation This is concerned with the reliability ofmeasurement.

    - This bias reflects changes in measuring instruments ormethods of measurement between two points of data collection.

    Ruling out threats to internal validity

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    Many threats such as history, maturation, selection, statisticalregression, testing, instrumentation and selection interactions, can be ruledout by the use of random assignment and control groups.

    Random assignment cannot rule out the effects of attrition, imitatingtreatments, or compensatory reactions.

    Blinding subjects and investigators will control many of these effects. Construct Validity- Construct validity of causes and effects concerns the

    theoretical conceptualizations of the intervention and response

    variables and whether these have been developed sufficiently toallow reasonable interpretation and generalization of their

    relationship (Portney & Watkins, 2000).- This addresses the question: Given that a cause-and-effect

    relationship is probable, to what theoretical constructs canthe results be generalized?

    a. Operational definition of the variables threats to constructvalidity are related to how variables are operationallydefined within a study and to potential biases introducedinto a study by subjects or experimenters.

    - These threats were originally defined by Campbell and

    Stanley under the category of External Validity. These arenow subdivided by Cook and Campbell into construct validityand external validity.

    - When studies incorporate only one form of measurement orexamine only one form of treatment, the results will applyonly to a limited aspect of the construct. Therefore, if astudy addresses only one form of treatment op one form ofmeasurement, generalization of the results of that study islimited.

    Example: Construct of pain which is multidimensional

    Suppose pain is treated with relaxation exercises ortranscutaneous electrical nerve stimulation (TENS), measures

    of success may vary depending on whether we assess pain by

    using a visual analogue scale (VAS), by measuring range of

    motion of involved joints, or by observing he efficiency of

    functional tasks.

    VAS reflects the patients subjective and relative feelings of

    pain intensity

    ROM test reflects physiological concomitants of pain

    Functional evaluation is influenced by personality, attitude,

    motivation, and lifestyle.

    Each of these assessments measures a different aspect of pain

    that reflects components of the total construct of pain.

    b. Time frame within operational definitions

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    The element of time cannot be ignored in defining the

    construct of treatment, and testing may need to be done at

    various intervals to determine the range necessary to achieve

    maximal effectiveness.

    For example: If we study the effect of TENS over a 2-week

    period, we cannot generalize outcomes to events that

    might occur over a longer period of treatment. If treatmentshows no effect within this time frame, we would be inaccurate

    to conclude that TENS does not work..

    c. Hawthorne Effect subjects nay behave in a particularmanner largely because they are aware of their participationof a study.

    Subjects often try their best to fulfil the researchers

    expectations or to present themselves in the best way

    possible, so that responses are no longer

    representative of the natural behavior.

    d. Experimenter Effects Subjects behavior ay be affected bycharacteristics of the researchers.

    The investigators may react more positively to subjects in

    the experimental group or give less attention to those in the

    control group, because of an emotional or intellectua

    investment in their hypothesis. If this is the case, the results in

    the original study might be difficult to replicate in a more

    neutral situation.

    This threat to construct validity can be avoided by employingtesters who are blinded to subject assignment and the research

    hypothesis.

    External Validity this refers to the extent to which the results of a studycan be generalized beyond the internal specifications of thestudy sample.

    - Addresses the question: Can the results be generalized topersons, settings, and times that are different from thoseemployed in the experimental situation?

    a. Expectancy Effects- includes placebo effect and nocebo effect

    Placebo effect this occurs when subjects administered a

    pesudointervention show changes or

    improvements. That same placebo might not have any benefits

    when not administered in the context of a study.

    Nocebo effect- this involves adverse side effects experienced

    by those receiving the placebo.

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    1. Construct validity The degree to which an instrumentmeasures the construct under investigation.

    Multitrait-multimethod matrix method (MTMM) - amethod of establishing the construct validity of an instrumentthat involves the use of multiple measures for a set ofsubjects; the target instrument is valid to the extent thatthere is a strong relationship between it and other measurespurporting to measure the same attribute(convergence) and a

    weak relationship between it and other measures purportingto measure a different attribute (discriminability)

    Convergent validity An approach to constructvalidation that involves assessing thedegree to which two methods of measuring a

    construct are similar.Discriminant validity an approach to construct

    validation that involves assessing the degree towhich a single method of measuring two

    constructs yields different results.

    Students Attitudes toward Four-day class week

    Instruction: Please place a check mark on the space opposite the questionunder the column of your choice of answer. Please answer as

    honestly as possible. Thank you.

    ItemItem RESPONSESRESPONSES

    SASA AA ?? DD SDSD

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    1. A four-day class week is a cost cutting1. A four-day class week is a cost cutting

    strategy for the school.strategy for the school.

    2. Many students can work to earn for2. Many students can work to earn for

    their schooling on the extra day weekend.their schooling on the extra day weekend.

    3. The best way to make students work is3. The best way to make students work is

    to include the extra day weekend forto include the extra day weekend for

    service-learning creditsservice-learning credits4. Many students can benefit from the4. Many students can benefit from the

    extra day training in service learningextra day training in service learning

    centers if they do not need the extra day tocenters if they do not need the extra day to

    work.work.

    5. There should be an expanded effort to5. There should be an expanded effort to

    disseminate information about extra daydisseminate information about extra day

    weekend to parents.weekend to parents.

    6. Because many families are financially6. Because many families are financially

    challenged a four-day class week will savechallenged a four-day class week will save

    them the cost of the one day less a weekthem the cost of the one day less a weekfor fare and student allowance.for fare and student allowance.

    7. A four-day class week also gives time to7. A four-day class week also gives time to

    teachers to find extra work on the addedteachers to find extra work on the added

    day off.day off.

    8. A four-day work week may help curb8. A four-day work week may help curb

    incidence of truancy among students.incidence of truancy among students.

    9. Students need to be trained to be self-9. Students need to be trained to be self-

    sufficient and the one day off may givesufficient and the one day off may give

    them time to get a job.them time to get a job.10. School work is becoming heavy and a10. School work is becoming heavy and a

    one day added off will prevent studentsone day added off will prevent students

    from getting burnout.from getting burnout.

    Critiquing

    Nature of evidence-based nursingEvidence-based practice A practice that involves making clinicaldecisions on the best available evidence, with an emphasis on evidencefrom disciplined research.

    According to Polit And Beck EBP is a major paradigm shift for healthcare education and practice. With EBP, a skillful clinician can no longerrely on a repository of memorized information, but rather must be adeptin accessing, evaluating, synthesizing, and using new research evidence(2008).

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    Best evidence refers generally to findings from research that aremethodologically appropriate, rigorous, and clinically relevant foranswering pressing questions-questions not only about efficacy, safety,and cost-effectiveness, but also about the reliability of nursingassessment measures, the determinants of health and well-being, themeaning of health or illness. (2008, p.32)

    The practice of evidence-based nursing involves the following steps:

    1. formulation of an answerable question to address a specific patient problem or situation

    2. systematic searching for the research evidence that could be used to answer the

    question

    3. appraisal of the validity, relevance and applicability of the research evidence

    4. integration of the research evidence with other information that might influence the

    management of the patient's problems

    5. clinical expertise, patient preference for alternative forms of care, and available

    resources

    6. implementation of the evidence-based practice decision

    7. and finally, evaluation of the outcome of the decision.