PUB708 Quantitative Research Methods - pdf
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Added on 2021-02-19
PUB708 Quantitative Research Methods - pdf
Added on 2021-02-19
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PUB708 QuantitativeResearch Methods
ABSTRACTThe study extracts the context of Quantitative Research Methods which are used forstatistical analysis. The main purpose of this report is to conduct and executing a quantitativeresearch for better understanding. Descriptive, general regression and correlation methods areused to conclude the research. Clear data interpretation helps to understand the results in moreclear manner.
ContentsABSTRACT.....................................................................................................................................2INTRODUCTION...........................................................................................................................1METHODS......................................................................................................................................1Statistical package for the social science (SPSS) software....................................................1Descriptive..............................................................................................................................1General linear model..............................................................................................................2Regression Model...................................................................................................................2RESULTS........................................................................................................................................2Participant characteristics.......................................................................................................2Statistical analysis..................................................................................................................4Discussion...............................................................................................................................7CONCLUSION................................................................................................................................9REFERENCES..............................................................................................................................10APPENDIX....................................................................................................................................11
INTRODUCTIONIn the aspect of conducting research there are different types of methods which are beingused by researchers. Basically, the quantitative research can be defined as a kind of researchwhich is linked with process of collecting quantifiable data and making analysis by use ofmathematical techniques (Barnham, 2015). Due to this kind of quantitative research, effectivedecision can be taken by researchers on a particular study. Under, the project report quantitativeresearch is done on given range of data about various faculties including their wealth andwatching television habit. According to Bryman, 2017 The sample size of given data is 40observations of 40 faculties. To conduct this research a vital range of techniques and methods areapplied such as general linear model, SPSS software and many more. In addition, two variablesare taken from group of data which is provided in order to produce final result. In the further partof project report, final sample is mentioned from drop outs as well as hypotheses test is done onthe collected data. As well as produced result is interpreted in order to make proper discussionof the quantitative research. METHODSStatistical package for the social science (SPSS) softwareThis can be defined as a kind of software which is being used for statistical analysis. It iswidely used in various type of research such as market research, health research, educationalresearch and many more (Stage and Manning, 2015). In the aspect of above quantitative researchof 40 sample size of different faculties, this software is used. It consists different kind of versionsand for above research SPSS version 24 is applied. In the research, it helps in reading, writingthem data through other statistical packages and spreadsheets. DescriptiveThis analysis is one a particular section of statistical analysis which describe the numbersin tabular format. It mainly extracts the data in simple tabular format and helps the sample of tomeasure the variables in more significant manner (Bulmer, 2017). The primary purpose ofinferential is to give a brief description of the tests and the actions taken on a significantresearch. Descriptive statistics, combined with a variety of linear regressions, constitute a majorpart of nearly all statistical analysis. This method is also used in the quantitative researchmethods. 1
General linear modelThe GLM model is a type of model which is being used in research for making comparisonabout how various kind of variables are effecting continuous variables (Sheppard, 2015). Themain difference is that there is independent variable that influences the dependent variabledepending on the number of repeat items in general GLM i.e. In the terms of equation, this canbe described as below:Data = Model + ErrorThe general liner model acts as foundation of different types of statistical tests such as ANOVA, ANCOVA and many more. The formula of general linear model is as follows:Herein,Y = Dependent variableβ0 = Constant value which cannot be changeβ1 = CoefficientX = VariableIn the aspect of above research, this model is used for better understanding about relationship between variables and continuous variables. Regression ModelRegression is among the most frequent methods in statistical analysis. It is very strong,essential, and simple to learn (at first glance). It is usually accused of inattention, ignoranceintent, and dumbness by readers (Laurie, 2017). But, it can be a minefield for teaching anddiscussion because it's such a broad topic. Unless the type of correlation predicted by both theexpert anduser does not suit only one mentioned by the author, then it is presumed that thewriter is misinformed.RESULTSParticipant characteristicsIn this quantitative research method 40 respondents (Male, Female) in total is taken and thevariable criteria is categorised in gender, faculty, study (hours), watching television (Hours), andWealth ($).2
NMinimumMaximumSumMeanStd.DeviationWealth($)4041476701472893682.222093.252Age (Years)401988175143.7815.560Gender3912571.46.505Faculty40141012.521.109Study (Hours)4004561.40.928Watching television (Hours)4004451.13.939Valid N (list-wise)39The above descriptive evaluation states the statistical mean, standard deviation, variance,the for different variables. Descriptive are defined as follows:Wealth: As per the descriptive analysis average wealth of respondents as $3682.2 whichis also considered as a mean. Minimum wealth is $414 and maximum wealth is $7670. It isobserved that standard deviation is 2093.252. Age: The minimum age of respondents is evaluated as 19 years, maximum age wasrecorded as 88 years and average or mean age was recorded as 43.78 years. Standard deviationstats the standard difference which is recorded 15.5 yearsGender: Descriptive evaluation in respect of male and female is calculated as meanvaluate of male which mean male respondents count is greater than the count of femalemembers. Standard deviation between male and female counted as Faculty: the respondents refers to different faculties as agriculture, arts, health andmathematics. In total 9 faculties belongs to agriculture faculty among 3 respondents are male and6 respondents are female. 11 respondents in total belong to Arts faculty among 10 respondentsare male and 1 respondent is female. 10 Respondents in total belong to health faculty among 6respondents are male and 4 respondents are female. Overall ratio of male respondents is higherthan female respondents. Study hours: this is one of the dependent variable on the basis of the study hours will beevaluated. The descriptive statistics presents following results as minimum hours consumed bydifferent faculties were 0 and maximum hours consumed by respondents were recorded as 4hours. Difference in terms of standard deviation among study hours states the followingdifference as 0.928 hours. An average hour is analyzed as 1.40 hours.3
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