Q2-PPT-5-Data-Presentation-Analysis-and-Interpretation.pdf

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1. DARRYL G. BAYONA
Teacher
2
PRACTICAL

2. Data Collection Instruments

3. Data Collection Instruments
1.Questionnaire–isaresearchinstrument
consistingofseriesofquestionsandother
promptsforthepurposeofgathering
informationfromrespondents.
○Widelyusedespeciallyindescriptivesurvey
studies(Borg&Gall,1983).

4. Data Collection Instruments
Advantages:
●caneasilyandeconomicallyreachmanypeople
●providequantifiableanswers
●relativelyeasytoanalyze
●consumelesstimecomparedtointerviewand
observation(Bailey,1982)

5. Data Collection Instruments
2.Tests–ameansofmeasuringtheknowledge,
skill,feeling,intelligence,oraptitudeofan
individualorgroup.
○producenumericalscoresthatcanbeused
toidentify,classify,orevaluatetesttakers
(Gay,1996).

6. Presentation of
Quantitative Data

7. Presentation of Quantitative Data
●Tabulation–isthefirststepbeforeadataisusedfor
analysisandinterpretation.
○Characteristics:
■atablecanbesimpleorcomplex,dependingon
thenumberormeasurementofasinglesetor
multiplesetsofitems.
■tableshouldbenumberede.g.,table1,table2,
table3,etc.
■abriefandexplanatorytitlemustbegivento
eachtable.
■thedatamustbepresentedinorder.
■notableshouldbetoolarge.

8. Presentation of Quantitative Data
●Tabulation
○FollowtheAPA7
th
Editiontableformat
■Tablenumberinboldabovethetable.
■Brieftitle,initalicsandtitlecase,belowthetable
number.
■Noverticallines.
■Horizontallinesonlywherenecessaryforclarity.
■Clear,conciselabelsforcolumnandrowheadings.
■Numbersconsistentlyformatted(e.g.withthesame
numberofdecimalplaces).
■Anyrelevantnotesbelowthetable.

9. Presentation of Quantitative Data

11. Analysis and Interpretation
of Quantitative Data

12. Analysis of Data
●itisatechniquethatusesmathematicaland
statisticalmeasurement andresearchto
understandrelationships.
●itprovidessummaryoftheorderlyorsequential
dataobtainedfromthesamplethroughthedata
gatheringinstrument.

13. Analysis of Data
5-PointLikertScale
●Itisaglobalscalethatisusedtoassessattitudes
andviews.
●Itisascalewith5answeroptionswhichhastwo
utmostpolesandaneutraloptionlinkedwith
intermediateansweroptions.
●Example:fullyagree,agree,neitheragreenor
disagree,disagree,andfullydisagree.

14. Analysis of Data
5-PointLikertScale
(Nyutu et al.,2021)

15. Analysis of Data
Computationofintervaltoidentifythe
verbalinterpretation
1.Subtractthehighestscaletothelowestscale
5 -1 = 4
2.Dividetheanswerinstep1bythehighestscale
4 / 5 = 0.80
3.Forintervalfornumericalvalue1,add0.80onthe
numericalvalue
1 + 0.80 = 1.80; the interval is 1.00 –1.80
4.Lastrange+0.01
1.80 + 0.01 = 1.81
5.Forthenextinterval,addtheanswerinstep#2tothe
answerinstep#3
1.80 + 0.80 = 2.60; next interval will be 1.81 –2.60
6.Followsteps4and5forthesucceedingintervals

16. Analysis of Data
HowtoanalyzeLikertscaleusingweightedmean

17. Analysis of Data
HowtoanalyzeLikertscaleusingweightedmean
1.FrequencyxNumericalvalue
6 x 1 = 6
2 x 2 = 4
5 x 3 = 15
2 x 4 = 8
2.Totalofanswersinstep1
6 + 4 + 15 + 8 = 33
3. Divide answer in step 2 with the number of respondents
33/15 = 2.20
4.Lookatthetableandverifywhichintervalandverbal
interpretationtheanswerinstep3fell.
2.20 = 2 | 1.76 –2.50 | Agree

18. Analysis of Data
Computationofaverageweightedmean
1.Add the total weighted mean
2.20 + 2.33 = 4.53
2.Divide the answer in step # 1 with the number of statements
4.53 / 2 = 2.27
3. Look at the table and verify which interval and verbal interpretation the answer in
step 2 fell.
2.27 = 2 | 1.76 – 2.50 | Agree

19. Thank You!