PHASES OF RESEARCH PROCESS
A) PHASE 1: Selecting problem area : answering the question
B) PHASE 2: Formulating a research question & hypothesis : answering the question
C) PHASE 3: Formulating a research design
-operationalizing variables: HOW I’M GOING TO THE QUESTION, for whom
-developing a sampling variable
-selecting a data-collection method
D) PHASE 4: Collecting Data
E) PHASE 5: Analyzing Data and hypothesis testing
F) PHASE 6: Writing the research report and evaluating research reports
SPSS Program
-Types of variables 4
-nominal= Categorical
-ordinal= Categorical because they are categories
-interval= continuous
-ratio= continuous because I am able to do a calculation +-x/
EX. is there any difference in he annual salary between BSW and MSW graduates
-annual salary is $ is continuous
-BSW & MSW are types of degree so are Categorical
Variables, identify from previous example the
ID:
DV: is the outcome
-DV is annual salary & is continuous
-ID are two BSW & MSW degrees are categorical
Why is it important to identify the DV (is the outcome) & IV
Because it tells us which statistics we should use in testing the hypothesis to answer the research question
CHART FOR SELECTION of Statistics: para USAR la correcta for data analysis
Variables Types:
-DV (outcome):
Categorical=Chisquare/Continuous= Logistic Re.
Continuous= T-test
OnewayAnova
Regresion
CHECK CHART VIDEO 2
EX: What is the relationship between nativity (US born or foreign) & poverty status ( above/below level)
IV: nativity =Categorical
DV: Poverty Status= categorical
Ex: What is the relationship between nativity (US born or foreign) & annual household income ($)
IV: nativity=Continuous
DV: Annual household income= Continuous y usas T-test; OnewayAnova or Regression
Ex: What is the relationship between the number of AA meeting attendance (per month) & alcohol recidivism (yes/no)
IV: the number of AA meeting attendance = per month it is continuous
DV: alcohol recidivism = yes/no it is categorical
STAST use= Continuous Logistic Reg
From which source do we collect our data in SW ; DE DONDE VIENE DATA
-Primary data= (Algo que uno mismo collecta) survey or intervention; cost a lot of money
-Secondary data= existing data or administrative agency data; disadvantages it can be limited,
What do we do with the data collected? Data Entry & Management , have data ready for analysis= DATA ANALYSIS = SSPS
Que hacemos con la DATA 3 steps:
-Data Entry
-Management
-Analysis
Creating new data dile in SPSS
Use DATA EDITOR WINDOW:
1st identify Variable Names
-type of variables ( numeric, dte, currency, etc.
-Variables labels
-value labels (if variables are categorical)
-ASSIGN MISSING VALUES (9,99,999, etc)
2nd enter data after preparing column defined variables
3rd SAVE SAVE SAVE
