SPSS Basic stats guide Dr. Craig Jackson Senior Lecturer in Health Psychology Faculty of Health Birmingham City University

Slides:



Advertisements
Similar presentations
Statistical Analysis SC504/HS927 Spring Term 2008 Week 18 (1st February 2008): Revision of Univariate and Bivariate.
Advertisements

CHAPTER TWELVE ANALYSING DATA I: QUANTITATIVE DATA ANALYSIS.
ECONOMICS 521 ECONOMIC STATISTICS. Jerry S. Kelly 312 Maxwell Hall (Not Eggers)
The following lecture has been approved for University Undergraduate Students This lecture may contain information, ideas, concepts and discursive anecdotes.
Basic Statistics Overview
David Pieper, Ph.D. STATISTICS David Pieper, Ph.D.
Statistics.
DATA ANALYSIS I MKT525. Plan of analysis What decision must be made? What are research objectives? What do you have to know to reach those objectives?
The following lecture has been approved for University Undergraduate Students This lecture may contain information, ideas, concepts and discursive anecdotes.
Chapter 13 Analyzing Quantitative data. LEVELS OF MEASUREMENT Nominal Measurement Ordinal Measurement Interval Measurement Ratio Measurement.
Mean for sample of n=10 n = 10: t = 1.361df = 9Critical value = Conclusion: accept the null hypothesis; no difference between this sample.
Chapter 14 Analyzing Quantitative Data. LEVELS OF MEASUREMENT Nominal Measurement Nominal Measurement Ordinal Measurement Ordinal Measurement Interval.
Measures of Dispersion CJ 526 Statistical Analysis in Criminal Justice.
Statistical Analysis SC504/HS927 Spring Term 2008 Week 17 (25th January 2008): Analysing data.
The following lecture has been approved for University Undergraduate Students This lecture may contain information, ideas, concepts and discursive anecdotes.
Using SPSS for Inferential Statistics UDP 520 Lab 3 Lin October 30 th, 2007.
Grouped Data Calculation
Principles of Epidemiology Occupational Application Dr. Craig Jackson Honorary Senior Lecturer in Occupational Psychology Institute of Occupational & Environmental.
1.3 Psychology Statistics AP Psychology Mr. Loomis.
Clinical Research Management 512 Leslie McIntosh ) (office)
1.
Measures of Dispersion
Module 11: Standard Deviations and the Like This module describes measures of dispersion or unlikeness, including standard deviations, variances,
Variability.  Reflects the degree to which scores differ from one another  Usually in reference to the mean value  A measure of the central tendency.
Chapter 21 Basic Statistics.
Determination of Sample Size: A Review of Statistical Theory
Agenda Descriptive Statistics Measures of Spread - Variability.
Research Ethics:. Ethics in psychological research: History of Ethics and Research – WWII, Nuremberg, UN, Human and Animal rights Today - Tri-Council.
Statistics for Psychology!
2 Kinds of Statistics: 1.Descriptive: listing and summarizing data in a practical and efficient way 2.Inferential: methods used to determine whether data.
Appendix B: Statistical Methods. Statistical Methods: Graphing Data Frequency distribution Histogram Frequency polygon.
Statistical Analysis Quantitative research is first and foremost a logical rather than a mathematical (i.e., statistical) operation Statistics represent.
Psychology and Statistics Interpreting Data (Ch. 1 Myers and Ch. 2 Barron’s)
Experimental Methods: Statistics & Correlation
Statistics in Hydrology Mean, median and mode (central tendency) Dispersion: the spread of the items in a data set around its central value.
Statistical analysis Why?? (besides making your life difficult …)  Scientists must collect data AND analyze it  Does your data support your hypothesis?
Statistical Analysis of Data. What is a Statistic???? Population Sample Parameter: value that describes a population Statistic: a value that describes.
Copyright © 2011, 2005, 1998, 1993 by Mosby, Inc., an affiliate of Elsevier Inc. Chapter 19: Statistical Analysis for Experimental-Type Research.
Introduction to Medical Statistics. Why Do Statistics? Extrapolate from data collected to make general conclusions about larger population from which.
Data Analysis. Statistics - a powerful tool for analyzing data 1. Descriptive Statistics - provide an overview of the attributes of a data set. These.
Lectures' Notes STAT –324 Probability Probability and Statistics for Engineers First Semester 1431/1432 and 5735 Teacher: Dr. Abdel-Hamid El-Zaid Department.
Statistics and probability Dr. Khaled Ismael Almghari Phone No:
Unit 10 – Statistics and Research (Ugghhh!!). The Process Understanding statistics is research can be challenging When evaluating a research report, you.
Research Methods. Define the Milgram experiment An experiment in which Milgram wanted to determine whether participants would administer painful shocks.
Data analysis and basic statistics KSU Fellowship in Clinical Pathology Clinical Biochemistry Unit
AP PSYCHOLOGY: UNIT I Introductory Psychology: Statistical Analysis The use of mathematics to organize, summarize and interpret numerical data.
Introductory Psychology: Statistical Analysis
Statistics In Research
Introduction To Research: Methods and Funding
Lecture 9-I Data Analysis: Bivariate Analysis and Hypothesis Testing
Unit 3: Science of Psychology
CHAPTER 4 Research in Psychology: Methods & Design
Research Methods in Psychology PSY 311
Unit 1: Science of Psychology
Basic Statistics Overview
Experimental Methods: Statistics & Correlation
Statistics: the language of psychological research
Part Three. Data Analysis
Descriptive Statistics
AP Biology Intro to Statistics
Notes Over 7.7 Finding Measures of Central Tendency
Unit 2 Research and Methods.
NURS 790: Methods for Research and Evidence Based Practice
Psychology Statistics
Data analysis and basic statistics
Chapter 6: Becoming Acquainted with Statistical Concepts
Basic Statistics Overview
Lecture 4 Psyc 300A.
Statistics & Sampling.
Presentation transcript:

SPSS Basic stats guide Dr. Craig Jackson Senior Lecturer in Health Psychology Faculty of Health Birmingham City University

Types of Data / Variables ContinuousDiscrete BPChildren HeightNo. colds in last 12 months WeightAge last birthday AgeBMI OrdinalNominal Grade of “condition”Sex Positions in race 1 st 2 nd 3 rd Hair colour “Better - Same – Worse”Blood group Height groupsEye colour Age groups Ethnicity

Types of statistics / analyses DESCRIPTIVE STATISTICSDescribing a phenomena FrequenciesHow many… Basic measurementsMeters, seconds, cm 3, IQ INFERENTIAL STATISTICSInferences about phenomena Hypothesis TestingProving or disproving theories Confidence IntervalsIf sample relates to the larger population CorrelationAssociations between phenomena Significance testinge.g diet and health

25 cells 22 cells 24 cells 21 cells Total = 92 cells Mean = 23 cells SD= 1.8 cells Multiple Measurement

NAgeIQ Total Mean20100 SD00 NAgeIQ Total Mean SD± 4.2 ± 19.2 NAgeIQ Total Mean SD± 8.5 ± 30.2 Small samples spoil research

Dispersion RangeSpread of data MeanArithmetic average MedianLocation ModeFrequency SDSpread of data about the mean Range mmHg Mean82mmHgMedian82mmHgMode82mmHg SD± 10mmHg

Central Tendency and Averages Mode MedianMean MedianMean Patient comfort rating Frequency