Choosing the Appropriate Statistics Dr. Erin Devers October 17, 2012.

Slides:



Advertisements
Similar presentations
David Pieper, Ph.D. STATISTICS David Pieper, Ph.D.
Advertisements

Research Methods for Counselors COUN 597 University of Saint Joseph Class # 8 Copyright © 2015 by R. Halstead. All rights reserved.
INFERENTIAL STATISTICS. Descriptive statistics is used simply to describe what's going on in the data. Inferential statistics helps us reach conclusions.
Statistical Tests Karen H. Hagglund, M.S.
Data Analysis Statistics. Inferential statistics.
LINEAR REGRESSION: Evaluating Regression Models. Overview Standard Error of the Estimate Goodness of Fit Coefficient of Determination Regression Coefficients.
QUANTITATIVE DATA ANALYSIS
Chapter 13 Analyzing Quantitative data. LEVELS OF MEASUREMENT Nominal Measurement Ordinal Measurement Interval Measurement Ratio Measurement.
Chapter 14 Analyzing Quantitative Data. LEVELS OF MEASUREMENT Nominal Measurement Nominal Measurement Ordinal Measurement Ordinal Measurement Interval.
PSYC512: Research Methods PSYC512: Research Methods Lecture 19 Brian P. Dyre University of Idaho.
Statistical Analysis SC504/HS927 Spring Term 2008 Week 17 (25th January 2008): Analysing data.
Causal Comparative Research: Purpose
Analyzing quantitative data – section III Week 10 Lecture 1.
Data Analysis Statistics. Inferential statistics.
Educational Research by John W. Creswell. Copyright © 2002 by Pearson Education. All rights reserved. Slide 1 Chapter 8 Analyzing and Interpreting Quantitative.
Today Concepts underlying inferential statistics
Data Analysis Statistics. Levels of Measurement Nominal – Categorical; no implied rankings among the categories. Also includes written observations and.
Summary of Quantitative Analysis Neuman and Robson Ch. 11
Chapter 14 Inferential Data Analysis
DESIGNING, CONDUCTING, ANALYZING & INTERPRETING DESCRIPTIVE RESEARCH CHAPTERS 7 & 11 Kristina Feldner.
Statistics Idiots Guide! Dr. Hamda Qotba, B.Med.Sc, M.D, ABCM.
Chapter 12 Inferential Statistics Gay, Mills, and Airasian
Inferential statistics Hypothesis testing. Questions statistics can help us answer Is the mean score (or variance) for a given population different from.
Week 9: QUANTITATIVE RESEARCH (3)
Analyzing Data: Bivariate Relationships Chapter 7.
Understanding Research Results
AM Recitation 2/10/11.
Statistical Analysis I have all this data. Now what does it mean?
Hypothesis Testing Charity I. Mulig. Variable A variable is any property or quantity that can take on different values. Variables may take on discrete.
Southampton Education School Southampton Education School Dissertation Studies Quantitative Data Analysis.
(a.k.a: The statistical bare minimum I should take along from STAT 101)
Descriptive Statistics e.g.,frequencies, percentiles, mean, median, mode, ranges, inter-quartile ranges, sds, Zs Describe data Inferential Statistics e.g.,
Quantitative Analysis: Statistical Testing using SPSS Geof Staniford Room Telephone:
Statistics Definition Methods of organizing and analyzing quantitative data Types Descriptive statistics –Central tendency, variability, etc. Inferential.
Statistics in Applied Science and Technology Chapter 13, Correlation and Regression Part I, Correlation (Measure of Association)
Statistical Analysis. Statistics u Description –Describes the data –Mean –Median –Mode u Inferential –Allows prediction from the sample to the population.
Statistical analysis Prepared and gathered by Alireza Yousefy(Ph.D)
RESULTS & DATA ANALYSIS. Descriptive Statistics  Descriptive (describe)  Frequencies  Percents  Measures of Central Tendency mean median mode.
Research Seminars in IT in Education (MIT6003) Quantitative Educational Research Design 2 Dr Jacky Pow.
Recap of data analysis and procedures Food Security Indicators Training Bangkok January 2009.
Educational Research Chapter 13 Inferential Statistics Gay, Mills, and Airasian 10 th Edition.
Experimental Psychology PSY 433 Appendix B Statistics.
Inferential Statistics. The Logic of Inferential Statistics Makes inferences about a population from a sample Makes inferences about a population from.
Three Broad Purposes of Quantitative Research 1. Description 2. Theory Testing 3. Theory Generation.
Introduction to Basic Statistical Tools for Research OCED 5443 Interpreting Research in OCED Dr. Ausburn OCED 5443 Interpreting Research in OCED Dr. Ausburn.
Chapter 6: Analyzing and Interpreting Quantitative Data
Non-parametric Tests e.g., Chi-Square. When to use various statistics n Parametric n Interval or ratio data n Name parametric tests we covered Tuesday.
NIH and IRB Purpose and Method M.Ed Session 2.
STATISTICS FOR SCIENCE RESEARCH (The Basics). Why Stats? Scientists analyze data collected in an experiment to look for patterns or relationships among.
IMPORTANCE OF STATISTICS MR.CHITHRAVEL.V ASST.PROFESSOR ACN.
Advanced Statistical Methods: Continuous Variables REVIEW Dr. Irina Tomescu-Dubrow.
DATA ANALYSIS Indawan Syahri.
Developing a Hiring System Measuring Applicant Qualifications or Statistics Can Be Your Friend!
1 UNIT 13: DATA ANALYSIS. 2 A. Editing, Coding and Computer Entry Editing in field i.e after completion of each interview/questionnaire. Editing again.
PART 2 SPSS (the Statistical Package for the Social Sciences)
Power Point Slides by Ronald J. Shope in collaboration with John W. Creswell Chapter 7 Analyzing and Interpreting Quantitative Data.
Nonparametric Statistics
Educational Research Inferential Statistics Chapter th Chapter 12- 8th Gay and Airasian.
Choosing and using your statistic. Steps of hypothesis testing 1. Establish the null hypothesis, H 0. 2.Establish the alternate hypothesis: H 1. 3.Decide.
NURS 306, Nursing Research Lisa Broughton, MSN, RN, CCRN RESEARCH STATISTICS.
Research Methods. Define the Milgram experiment An experiment in which Milgram wanted to determine whether participants would administer painful shocks.
CHAPTER 15: THE NUTS AND BOLTS OF USING STATISTICS.
Quantitative Methods in the Behavioral Sciences PSY 302
Statistics & Evidence-Based Practice
Basic Statistics Overview
Understanding Research Results: Description and Correlation
NURS 790: Methods for Research and Evidence Based Practice
Simple Linear Regression
15.1 The Role of Statistics in the Research Process
Presentation transcript:

Choosing the Appropriate Statistics Dr. Erin Devers October 17, 2012

Quantitative or Qualitative?  Is the data quantitative or qualitative?  If qualitative, you have to do the hard work of coding the material numerically before analyzing it.

Level of Measurement?  Nominal  Descriptive stats: mode  Inferential stats: chi-square  Ordinal  Descriptive stats: median  Interval/Ratio  Descriptive stats: mean and standard deviation  Inferential stats: it depends

Chi-Square ( ϰ 2 )  Indicates whether a distribution of frequencies is what you would expect  If distribution is significantly different from what is expected, then it suggests there is a true difference present  Examples

Example: Are more males or females diagnosed with schizophrenia? MaleFemale 50 GuysGirls 7030 * p <.001

Interval/Ratio Data: Did you conduct an experiment?  Correlation and Regression  t-test, ANOVA

Correlation Joke

Correlation Coefficient:  Definition: number that represents the relationship between two variables.  Answers the question, how are changes in X related to changes in Y?  Gives you information regarding  Strength of the relationship  Direction of the relationship

Linear Regression Basic premise : given previous observations, one can (within some range of error) predict what is likely to occur in future Examples:  GRE scores and performance in grad school  Parental smoking and smoking in teens  Cholesterol level and risk for heart attack.  Maternal depression and childhood psychopathology  Workers level of responsibility and job satisfaction  Beliefs and what one will do within a certain situation.

t-tests  Provide a way to compare two group means with each other  Paired or Independent (depends on whether you used a between or within subjects design)

ANOVA: Analysis of Variance  F statistic  Takes into account the fact that chances of getting a difference randomly goes up with multiple comparisons.  F = t 2  Comparing means of multiple groups e.g. What dose of a drug works best for arresting hallucinations in schizophrenia?

Questions?