INTRODUCTION TO RESEARCH METHODOLOGY AND STATISTICS BNRS 6214 1 PREPARED BY DR NUR SYAZANA UMAR
TOPIC 4 : DECRIPTIVE STATISTICS 2 LECTURE TOPIC -Preparing the data file - Introduction to descriptive statistics
COURSE LEARNING OUTCOMES 3 To check and modify, where necessary, the options that SPSS uses to display the data and the output that is produced To set up the structure of the data file by defining the variables To enter the data, that is the values obtained from each participants for each variable
PROCESS OF DATA ANALYSIS 4 PART ONE : Getting started PART TWO : Prepare the data file PART THREE : Preliminary analyses PART FOUR : Statistical techniques to explore relationship among variable PART FIVE : Statistical techniques to compare group
Part 2: Preparing the Data 5
CREATING A DATA FILE AND ENTERING DATA 6 PREPARING THE DATA (PART 2)
Creating a Data File 7
Cont. 8
9 Entering the Data
Screening and cleaning the DATA 10 PREPARING THE DATA (PART 2)
Screening and Cleaning the Data Frequency ( For Categorical Data) 11
Screening and Cleaning the Data Descriptive ( For Continuous Data) 12
Screening and Cleaning the Data Case Summaries 13
Screening and Cleaning the Data Check each datum manually 14
Identify and dealing with missing data 15 PREPARING THE DATA (PART 2)
Identifying and Dealing with Missing Data (If Any) Errors in entering the data or incomplete data Amount of missing Type of missing Analyse the pattern – random or systematic Options Delete Exclude cases listwise Exclude cases pairwise Replace with mean (e.g. multiple regression) Imputation 16
Calculating total scores and scoring 17 PREPARING THE DATA (PART 2)
Calculating total scale scores Reverse negatively worded items (if any) Adding up the total scores for the scale Collapsing continuous variables into groups Collapsing the number of categories of a categorical variable Calculating Total Scale Scores and Scoring 18
Calculating total scale scores Reverse negatively worded items (if any) Adding up the total scores for the scale Collapsing continuous variables into groups Collapsing the number of categories of a categorical variable Calculating Total Scale Scores and Scoring 19
Calculating total score Collapsing the categories Transforming continuous data to categorical data 20
21 References Preparing Data https://www.youtube.com/watch?v=TZPyOJ8tFcI&t=119s Screening and cleaning Data https://www.youtube.com/watch?v=YSyMnfRLh8I Calculating total score https://www.youtube.com/watch?v=gtue2c7O8VA Visual binning https://www.youtube.com/watch?v=tAdmnPeqsig