A Flight Plan for Studying Statistics. The Scientific Procedure 1) Concepts (empirical and hypothetical) 2)Operational Definitions (measurement and procedure)

Slides:



Advertisements
Similar presentations
Selecting a Data Analysis Technique: The First Steps
Advertisements

SPSS Session 5: Association between Nominal Variables Using Chi-Square Statistic.
From Concepts to Variables Sociology 690 – Measurement.
PSYC512: Research Methods PSYC512: Research Methods Lecture 10 Brian P. Dyre University of Idaho.
Differences Between Group Means
Chapter 13 Analyzing Quantitative data. LEVELS OF MEASUREMENT Nominal Measurement Ordinal Measurement Interval Measurement Ratio Measurement.
Statistics for the Social Sciences Psychology 340 Fall 2006 Putting it all together.
Correlation Patterns. Correlation Coefficient A statistical measure of the covariation or association between two variables. Are dollar sales.
Chapter 14 Analyzing Quantitative Data. LEVELS OF MEASUREMENT Nominal Measurement Nominal Measurement Ordinal Measurement Ordinal Measurement Interval.
Chapter 6 Measuring Instruments. ALL VARIABLES ARE NOT MEASURED THE SAME Nominal Variables Ordinal Variables Interval Variables Ratio Variables.
Analyzing quantitative data – section III Week 10 Lecture 1.
PSYC512: Research Methods PSYC512: Research Methods Lecture 9 Brian P. Dyre University of Idaho.
Statistics Idiots Guide! Dr. Hamda Qotba, B.Med.Sc, M.D, ABCM.
The Practice of Social Research
Overall agenda Part 1 and 2  Part 1: Basic statistical concepts and descriptive statistics summarizing and visualising data describing data -measures.
CHAPTER 8 Basic Data Analysis for Quantitative Research ESSENTIALS OF MARKETING RESEARCH Hair/Wolfinbarger/Ortinau/Bush.
MSE 600 Descriptive Statistics Chapter 10 in 6 th Edition (may be another chapter in 7 th edition)
Statistics Definition Methods of organizing and analyzing quantitative data Types Descriptive statistics –Central tendency, variability, etc. Inferential.
A Repertoire of Hypothesis Tests  z-test – for use with normal distributions and large samples.  t-test – for use with small samples and when the pop.
Chapter 1 Quiz.  A study of 254 patients with sleep disorders was conducted to find a link between obesity and sleep disorders.
Choosing the Appropriate Statistics Dr. Erin Devers October 17, 2012.
Basic Biostatistics Prof Paul Rheeder Division of Clinical Epidemiology.
Choosing a statistical What are you trying to do?.
Practical Statistics Regression. There are six statistics that will answer 90% of all questions! 1. Descriptive 2. Chi-square 3. Z-tests 4. Comparison.
Week #12 Assignment For your Week #12 assignment, you will write your Methods and Results Chapters for your descriptive statistics.
STATISTICAL ANALYSIS FOR THE MATHEMATICALLY-CHALLENGED Associate Professor Phua Kai Lit School of Medicine & Health Sciences Monash University (Sunway.
Chapter 13 CHI-SQUARE AND NONPARAMETRIC PROCEDURES.
Academic Research Academic Research Dr Kishor Bhanushali M
ANALYSIS PLAN: STATISTICAL PROCEDURES
Methodology v v Type of research v v Design v v Data gathering procedures v v Data analysis procedures v v Population v v Sample and sampling.
Inferential Statistics. The Logic of Inferential Statistics Makes inferences about a population from a sample Makes inferences about a population from.
Chapter 9 Correlational Research Designs. Correlation Acceptable terminology for the pattern of data in a correlation: *Correlation between variables.
Elang 273: Statistics. Review: Scientific Method 1. Observe something 2. Speculated why it is so and form hypothesis 3. Test hypothesis by getting data.
Copyright (C) 2002 Houghton Mifflin Company. All rights reserved. 1 Statistics is The study of how to: collect organize analyze interpret numerical information.
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.
Statistics as a Tool A set of tools for collecting, organizing, presenting and analyzing numerical facts or observations.
Making Comparisons All hypothesis testing follows a common logic of comparison Null hypothesis and alternative hypothesis – mutually exclusive – exhaustive.
1 PSY 230, Jacobs Welcome to PSY 230 Introduction to Statistics Elizabeth Jacobs, Ph.D.
Research Tools and Techniques The Research Process: Step 7 (Data Analysis Part B) Lecture 29.
Revision of Course: Lecture 1 – 15 Lecture 31 Research Tools and Techniques.
Easy (and not so easy) questions to ask about adolescent health data J. Dennis Fortenberry MD MS Indiana University School of Medicine.
HMS 320 Understanding Statistics Part 2. Quantitative Data Numbers of something…. (nominal - categorical Importance of something (ordinal - rankings)
EPSY 5210 Ed. Statistics Instructor: Hector Ponce Background: Research Interest Experience with Quantitative Analysis Additional comments.
Introduction to Biostatistics
HW Page 23 Have HW out to be checked.
BIOSTATISTICS Qualitative variable (Categorical) DESCRIPTIVE
Causality, Null Hypothesis Testing, and Bivariate Analysis
REGRESSION G&W p
EXPLORATORY DATA ANALYSIS and DESCRIPTIVE STATISTICS
Math 4030 Probability and Statistics for Engineers
REGRESSION (R2).
Dr. Amjad El-Shanti MD, PMH,Dr PH University of Palestine 2016
LEVELS of DATA.
Multivariate Analysis
Introduction To Statistics
Sunee Raksakietisak Srinakharinwirot University
SPSS STATISTICAL PACKAGE FOR SOCIAL SCIENCES
Introduction to Statistics
Methods Chapter Format Sources of Data Measurements
Applied Statistical Analysis
Wednesday, September 23 Descriptive v. Inferential statistics.
Nominal/Ordinal Level Measures of Association
قياس المتغيرات في المنهج الكمي
Nominal/Ordinal Level Measures of Association
Pengertian Statistika
Introduction To Statistics
MG3117 Issues and Controversies in Accounting
Descriptive statistics Pearson’s correlation
Introductory Statistics
Examine Relationships
Presentation transcript:

A Flight Plan for Studying Statistics

The Scientific Procedure 1) Concepts (empirical and hypothetical) 2)Operational Definitions (measurement and procedure) 3) Hypotheses (type and timing) 4) Research Design (control and collection) 5) Data Analysis (structure and cause) 6) Write-up ( review and publication)

 Nominal  Ordinal  Interval  Ratio =, ~= =, ~=, > < =, ~=, > <, + - =, ~=, > <,+ -, x /

 Descriptive or Inferential  What level of measurement  How many variables or groups

 Descriptive  Inferential Non-Quantitative Quantitative Non-Quantitative Quantitative One = Z-test Two = t-test >Two = ANOVA One = %/Ratio/Rate Two = Crosstabs, P.R.E. One = Mean / SD Two = Correlation > Two = SEM > Two = Log Linear > Two = Logistic Regression Two = Wilcoxon, M-W One = Chi Square

Log Linear ANOVA Logistic Regression SEM Models D V Non-QuantitativeQuantitative Non-Quantitative Quantitative I V