table research

7/27/2019 Table Research

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PRESENTATION OF FINDINGS AND

ANALYSIS via Tabular Display

Good tables are an integral part of your package,whether this is a news release, an analyticalarticle or a research paper.

Using tables effectively helps minimize the

number of data values in your text. It alsoeliminates the need to discuss less significantvariables that are not essential to the story line.

Why tables are important:


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In her book on writing about numbers, Miller

(2004) gives the following guidelineson how to design good tables:

Make it easy for your audience to find andunderstand numbers within your tables.

Design both the layout and the labeling of yourtables in a straightforward and unobtrusivefashion, so the attention is on the substantive

points to be conveyed by your data, rather thanon the structure of the table.


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FACTORS AFFECTING THE LEVEL OF

ANXIETY AMONG BSN IV IN HANDLING

CRITICALLY ILL PATIENT IN ICU

Submitted by:

Masayon, Maria Salvacion R.Mendoza, Mharitz B.

Natividad, Michelle Anne F.

March 2010


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Chapter 4

PRESENTATION OFFINDINGS AND ANALYSIS This chapter contains the

discussion of result and findings ofthe study.


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Table 1 -The level of anxiety

of BSN IV studentsAspects Weighted Mean Rank Verbal InterpretationEmotional 2.77536 1 Moderate AnxietyIntellectual 2.723188 2 Moderate AnxietySpiritual 2.60145 3 Moderate Anxiety

Table 1 reveals that most students answered that they are

anxious and stressed whenever they handle critically illpatients at the ICU. This shows that students have higher

level of anxiety in emotional aspect which garnered aweighted mean of2.77536. All aspects were interpreted

as moderate anxiety level which means that students

often focus on the immediate concerns and could havedecreased perceptual field.


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Interpretation of Data

It is observed that most respondentsfeel anxious whenever they handlepatients under emotional distortion.

The students can perform their tasksbut could manifest some nervousmannerism but selectively attentive.


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Analysis of data White (2005) there is a close relationship

between anxiety and stress. The most commonemotional response to stress is anxiety. Garcia et

al (2000) emphasized that nurses assist

terminally ill patients in hospitals and hospicesall of the time and therefore they are more closelyin touch with anxieties and hopes of both patients

and their families. Butcher (2008) defined

emotion as a strong feeling accompanied byphysiologic changes. And those changes mayaffect ones emotion and may lead toward

emotional conflict even at the same point we help

patients in their wellness.


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All of the aspects given were interpreted asmoderate anxiety: This could be an indicationthat students feel anxious in handling critically

ill patients in ICU. Erlen and Sereika (1997)

stated that the environment of ICU has beenrecognized as stressful since their inception inthe 1960s This is due to the fact that Intensivecare nurses confront death and dying, end of life

decisions, and ethical dilemmas in this venueregularly. High level of anxiety, however, can

overpower a person and diminish the ability tofunction and think (White, 2005). The person is

less able to function as the level of anxiety

increases.

Analysis of data (cont.)


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Checklist for designing a good table(Making Data MeaningfulPart 2: A guide to presenting statistics

UNITED NATIONS Geneva, 2009)

Data values should be set out so key informationcan be extracted easily. Users may find it easierto scan down columns or across rows, dependingon your message.

You should consider this when deciding whetherto present your table in portrait or landscapeorientation.


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Lines or subtle shading can also be used toencourage users to read horizontally, as well asvertically.

Spacing and shading can change the way a tableis read.

Columns should be evenly spaced and not too farapart. The table should only be as wide as thedata content requires.


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To ensure that your tables are easy to

understand, you should consider thefollowing guidelines:

Avoid unnecessary text.

Display your data either by chronological orderfor time series or by using some standardclassification. For longer time series, it may bemore appropriate to use the reversechronological order (i.e. starting with the mostrecent period and going backwards) in somecases, such as for monthly unemployment.


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Use a minimum of decimal places.

Use thousand separators. Using a space insteadof a symbol can avoid the problem of having totranslate between languages.

Align the numbers on the decimal point (or on

the right in the absence of decimal places) sotheir relative value is clear. Do not centre thenumbers in a column, unless they are all thesame magnitude.


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Do not leave any data cell empty. Missing valuesshould be identified as not available or not

applicable. The abbreviation NA can apply toeither, so it needs to be defined.


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Presented by:

Guardian, Junjun M.

Ilac, Ma. Engel Lyka M.

Figueroa, Kriselda

Natividad, Michael John F.

Orbita Shiela Mariz A.

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