meljun cortes data analysis presentation
Post on 02-Jun-2018
214 Views
Preview:
TRANSCRIPT
-
8/10/2019 MELJUN CORTES Data Analysis Presentation
1/38
Analyzing and
Interpreting
Quantitative and
Qualitative Data
MELJUN CORTES
-
8/10/2019 MELJUN CORTES Data Analysis Presentation
2/38
Case Example:
-
8/10/2019 MELJUN CORTES Data Analysis Presentation
3/38
-
8/10/2019 MELJUN CORTES Data Analysis Presentation
4/38
Preparing the Data for Analysis:
Inputting Data
Score data by assigning numeric codes toresponses
Create a codebook
Use information from instruments whenpossible as a part of coding scheme
Create a data file in data grid
Create variable, value labels
Clean database, missing valuesJohn W. Creswell
Educational Research: Planning,
Conducting, and Evaluating Quantitativeand Qualitative Research, third edition 7.4
-
8/10/2019 MELJUN CORTES Data Analysis Presentation
5/38
Determine Types of Scores to Analyze
Single item
Summed scores
Difference scores
John W. Creswell
Educational Research: Planning,
Conducting, and Evaluating Quantitative
and Qualitative Research, third edition 7.5
-
8/10/2019 MELJUN CORTES Data Analysis Presentation
6/38
7.6
Strongly Disagree Strongly Agree
1 2 3 4 5 6
RESPONSE OPTIONS:
-
8/10/2019 MELJUN CORTES Data Analysis Presentation
7/38
-
8/10/2019 MELJUN CORTES Data Analysis Presentation
8/38
Selecting a Statistical Program
Statistical Package for Social Sciences (SPSS)
most popular
Other programs
Minitab
Statview
SAS (JMP/JMPIN)
StatPac
Use mainframe, PC, or Mac platforms
John W. Creswell
Educational Research: Planning,
Conducting, and Evaluating Quantitative
and Qualitative Research, third edition
-
8/10/2019 MELJUN CORTES Data Analysis Presentation
9/38
-
8/10/2019 MELJUN CORTES Data Analysis Presentation
10/38
Running Descriptive Statistics
7.10
DescriptiveStatistics
Central Tendency Variability Relative Standing
Mean
Median
Mode
Variance
Standard Deviation
Range
Z-Score
Percentile Ranks
-
8/10/2019 MELJUN CORTES Data Analysis Presentation
11/38
-
8/10/2019 MELJUN CORTES Data Analysis Presentation
12/38
-
8/10/2019 MELJUN CORTES Data Analysis Presentation
13/38
Conducting Inferential Analysis
Hypothesis testing: A procedure for makingdecisions about results by comparing an
observed value of a sample with a population
value to determine if no difference or
relationship exists between the values
John W. Creswell
Educational Research: Planning,Conducting, and Evaluating Quantitative
-
8/10/2019 MELJUN CORTES Data Analysis Presentation
14/38
Computing the Samples Statistic
Inferential Statistics
Parametric Parametric Parametric Chi-SquareAnalysis
Phi
Coefficient
Pearson
Correlation
Coefficient
Regression
Coefficient
Spearman
Rho
Kendalls
Tau
Continuous (iv)
Continuous (dv)
Categorical (iv)-
Continuous (dv)
Continuous (iv)-
Categorical (dv)
Categorical (iv)-
Categorical (dv)
T-Test
Analysis of
Variance
Analysis of
Covariance
Mann-
Witney
U-Test
Kruskall
WallisTest
Friedman
Two-Way
Anova
Discriminant
Analysis
Point
Biserian
Correlation
Nonparametric Nonparametric Nonparametric
-
8/10/2019 MELJUN CORTES Data Analysis Presentation
15/38
Selecting an Appropriate Statistic
Consider the scale of measurement for your
independent variable(s) in the research
question or hypothesis
Identify the scale of measurement for the
dependent variables (e.g., continuous or
categorical)
Determine if the distribution of the scores
is normal or skewed
John W. Creswell
Educational Research: Planning,Conducting, and Evaluating Quantitative
7.15
-
8/10/2019 MELJUN CORTES Data Analysis Presentation
16/38
Reporting the Results
Tables summarize statistical information
Title each table
Present one table for each statistical test
Organize data into rows and columns with simple andclear headings
Report notes that qualify, explain, or provideadditional information in the tables, which can behelpful to readers. Notes include information aboutthe size of the sample reported in the study, theprobability values used in hypothesis testing, and theactual significance levels of the statistical test
John W. Creswell
Educational Research: Planning,Conducting, and Evaluating Quantitative
7.16
-
8/10/2019 MELJUN CORTES Data Analysis Presentation
17/38
-
8/10/2019 MELJUN CORTES Data Analysis Presentation
18/38
-
8/10/2019 MELJUN CORTES Data Analysis Presentation
19/38
-
8/10/2019 MELJUN CORTES Data Analysis Presentation
20/38
-
8/10/2019 MELJUN CORTES Data Analysis Presentation
21/38
-
8/10/2019 MELJUN CORTES Data Analysis Presentation
22/38
Reporting the Results (contd)
Detailed explanations about statistical results
Report whether the hypothesis test was significant
or not
Provide important information about the
statistical test, given the statistics
Include language typically used in reportingstatistical results
John W. Creswell
Educational Research: Planning,Conducting, and Evaluating Quantitative
7.22
-
8/10/2019 MELJUN CORTES Data Analysis Presentation
23/38
Discussing the Results
Summarize major results
Explain why they occurred
Explain the implications of the results for theaudiences
Advance limitations
Suggest future research
John W. Creswell
Educational Research: Planning,Conducting, and Evaluating Quantitative
7.23
-
8/10/2019 MELJUN CORTES Data Analysis Presentation
24/38
Analyzing and
InterpretingQualitative Data
-
8/10/2019 MELJUN CORTES Data Analysis Presentation
25/38
The Process of Data Analysis
Codes the text for
description to be used
in the research report
Codes the text for
themes to be used
in the research report
The researcher codes the data (locates text
segments and assigns a code to label them)
The researcher prepares data for analysis(transcribes fieldnotes)
The researcher collects data (a text file, such as
fieldnotes, transcriptions, optically scanned material)
The researcher reads through data
(obtains general sense of material)
SimultaneousInteractive
-
8/10/2019 MELJUN CORTES Data Analysis Presentation
26/38
Preparing and Organizing the Data
Develop a matrix or table of sources that can
be used to organize the material
Organize material by type
Keep duplicate copies of materials
Transcribe data
Prepare data for hand or computer analysis(and select computer program)
-
8/10/2019 MELJUN CORTES Data Analysis Presentation
27/38
Exploring the Data
Obtain a general sense of the data by
performing a preliminary exploratory analysis
Read through fieldnotes and interviews
several times to get a sense of the interview
and the observation
Write memos in the margins of interviews or
fieldnotes of your initial reflections on the
data
Consider whether more data are needed
-
8/10/2019 MELJUN CORTES Data Analysis Presentation
28/38
Coding the Data
Read through all transcripts
Start with one transcript
Identify text segments. Ask, What is this person
saying?
Bracket text segment Assign code word
One, two, or three words that describe what is being
said
Terms from the literature can be used
When possible use a participants actual words (in
vivo code)
Practiceleancoding (3040 codes)
-
8/10/2019 MELJUN CORTES Data Analysis Presentation
29/38
Coding the Data (contd) Include codes that describe the participants and
site Reduce redundancy
Take out codes that are duplicate ideas
Reduce to a manageable list (usually 2530) Collapse codes into themes, which are:
The major ideas that emerge from the data
The ideas the participants most frequently discuss,are unique or surprising, have the most evidence to
support them, or those you might expect to find when
studying the phenomenon
Usually number 57
A Vi l M d l f h C di
-
8/10/2019 MELJUN CORTES Data Analysis Presentation
30/38
John W. CreswellEducational Research: Planning,
Conducting, and Evaluating
Quantitative and Qualitative
Research, third edition
A Visual Model of the Coding
Process in Qualitative Research
Reduce codes to
57 themes
Initially readthrough data
Divide textinto segmentsof information
Labelsegments ofinformationwith codes
Reduceoverlap andredundancyof codes
Collapsecodes intothemes
Manypagesof text
Manysegmentsof text
3040codes
Codesreduced
to 20
-
8/10/2019 MELJUN CORTES Data Analysis Presentation
31/38
John W. Creswell
Educational Research: Planning,
Conducting, and Evaluating
Quantitative and QualitativeResearch, third edition
Using Codes to Identify Themes
Ordinary themes
Unexpected themes
Social science themes Layering and connecting themes
-
8/10/2019 MELJUN CORTES Data Analysis Presentation
32/38
7.32
-
8/10/2019 MELJUN CORTES Data Analysis Presentation
33/38
-
8/10/2019 MELJUN CORTES Data Analysis Presentation
34/38
Representing the Findings
Demographic table: A table of demographics
on individual participants and/or research site
Comparison table:A table used to compare
groups on one theme
Figures/diagrams: A visual depiction that
shows the interconnections between themes
Hierarchical tree: A diagram that visually
represents themes and their interconnections
Drawings: Maps of the physical layout of the
siteJohn W. Creswell
Educational Research: Planning, Conducting,and Evaluating Quantitative and Qualitative
Research, third
-
8/10/2019 MELJUN CORTES Data Analysis Presentation
35/38
-
8/10/2019 MELJUN CORTES Data Analysis Presentation
36/38
Interpreting the Findings
Interpretation is not neutral
Reflect about the personal meaning of the
data
Compare and contrast personal viewpoints
with the literature
Address limitations of the study
Make suggestions for future research
John W. Creswell
Educational Research: Planning, Conducting,and Evaluating Quantitative and Qualitative
Research, third
-
8/10/2019 MELJUN CORTES Data Analysis Presentation
37/38
-
8/10/2019 MELJUN CORTES Data Analysis Presentation
38/38
Thank you for Listening!
Shall we now discuss?
7 38
top related