Quantitative Research Methods : PDF
Added on -2021-02-21
| 13 pages| 2287 words| 130 views
Trusted by 2+ million users,
1000+ happy students everyday
Showing pages 1 to 4 of 13 pages
QUANTITATIVE RESEARCHMETHODS
TABLE OF CONTENTSINTRODUCTION...........................................................................................................................1(1) Class type influence on attendance across year.........................................................................1(2) Association between self esteem and level of independence.....................................................2(3) Memory problem across gender.................................................................................................2(4) Contribution of family support and wellbeing to independence level.......................................3CONCLUSION................................................................................................................................5REFERENCES................................................................................................................................6APPENDIX......................................................................................................................................7
INTRODUCTIONIn the present research report data analysis is done on raw data that is related to communitycentre providing classes to elder people. In research work focus is on multiple areas likeinfluence that class type which people have joined have on attendance on relevant programs.Relationship between self esteem and level of independence is also investigated and it isidentified whether if self esteem level is high in individual then in that case independence is alsohigh or not. In further study, it is identified whether male and female have same memoryproblem or there is difference between both in terms of memory level. Apart from this, attentionis paid on finding out impact that family factor and well being have on the independence level ofindividual. Thus, it can be said that research is done on wide basis in current report.(1) Class type influence on attendance across yearH0: There is no significant impact of influence of class type on attendance across year.H1: There is significant impact of influence of class type on attendance across year.InterpretationRegression analysis method is used to investigate relationship between class type andtotal duration of sessions. It is important to note that above mentioned approach not only indicatewhether there is significant impact of one variable on the other (Qvortrup, 2015). It also indicatesthe pace at which dependent variable expect to change with slight upward or downwardmovement in independent variable. Table given above is explaining relationship betweenvariable in detail. It can be observed that value of (R = 0.109, R Square = 1%, P = 0.171>0.05, F= 1.893, Coefficient = 1.385). On analysis of these facts it can be said that there is no significantdifference between dependent and independent variable. This is concluded because value of P isgreater than 5% value of level of significance. Hence, null hypothesis accepted. R square value is0.019 which is reflecting weak relationship between variables. This is strong evidence of the factthat whichever class people join it does not lead to any big variation in attendance in respect toclass in community centre. R square value of 1% is further underpin above conclusion. As thisindicating that that independent variable is explaining 1% variation in dependent variable.Hence, it is concluded that change in class in data does not bring big change in the totalattendance across year.1
(2) Association between self esteem and level of independenceH0: There is no significant association between self esteem and level of independence.H1: There is significant association between self-esteem and level of independence.InterpretationMajor requirement of query was to find out find out association between self esteem andindependence. In respect to this correlation method is employed which assist analyst inidentifying association between variables. Correlation value is 0.491 which is indicatingmoderate relationship among variables. Value of statistic (P = 00>0.05) which is indicating thatthere is significant association between both variables. Thus, it can be concluded that withchange in self esteem level at least moderate change comes in independence level of individuals.So, it can be said that alternative hypothesis accepted. In practical life also, this thing provedcorrect. This is because self-esteem means that one has respect about him in his own eye andcannot tolerate if someone makes insult (Salkind, 2016). If individual will have such kind of highesteem then in that case it will definitely have highest level of independence. If one will not haveindependence then in that case self-esteem individual cannot survive. Hence, it can be said that ifany individual have a very high self-esteem then in that case level of independence will becertainly high. (3) Memory problem across genderH0: There is no significant association between gender segments in respect to memory level.H0: There is significant association between gender segments in respect to memory level.2
Found this document preview useful?
You are reading a preview
Upload your documents to download
or
Become a Desklib member to get accesss
Paid Plans
Free Plan
Single Unlock
Monthly Plan
Yearly Plan