BEHL 2005/2019 (UO) Introductory Research Methods PDF
Document Details
Uploaded by LuckiestForethought
2019
BEHL
Hannah Keage
Tags
Related
- LE 362 Research Methods II PDF
- RSM1024 Research Methods in Psychology 1 Lecture Notes PDF
- LE 362 Research Methods - Data Collection-Quantitative PDF
- Scientific Research Methods and Statistical Application Past Paper PDF (Addis College, June 2024)
- Scientific Research Methods and Statistical Application (June 2024) PDF
- Lecture Notes: Methods in Neuropsychological Research 2024/2025 - PDF
Summary
This document provides lecture notes on introductory research methods, specifically focusing on summarising data. It covers various topics including tables, graphs, properties of distributions, skew, and kurtosis, all within a statistical context. This is a part of the BEHL 2005/2019 (UO) course.
Full Transcript
BEHL 2005 / BEHL 2019 (UO) Introductory Research Methods Summarising data Professor Hannah Keage What are we going to cover? Summarising data Tables Graphs Properties of distributions Content from this lecture references: Why do we summarise data? • We can make general statements beyond specifi...
BEHL 2005 / BEHL 2019 (UO) Introductory Research Methods Summarising data Professor Hannah Keage What are we going to cover? Summarising data Tables Graphs Properties of distributions Content from this lecture references: Why do we summarise data? • We can make general statements beyond specific observations. • Typically done using tables or graphs. • For example, we’re probably not interested in how over 400 individuals rated a restaurant. But, we’d probably like to know that most people rated the restaurant as excellent. INDIVIDUAL DATA SUMMARY DATA Summarising data using tables • Frequency distributions • Cumulative distributions Summarising data using tables Summarising data using tables Summarising data using graphs • Histograms Summarising data using graphs What is a distribution? Information about the data you have for one variable. Properties of distributions • What the central tendency is (mean, median or mode). • How symmetrical the data is either side of the mean (skew). • How variable the data is (e.g. data range, standard deviation and kurtosis). • If it’s a “normal distribution”. Central tendency (the average) • Mean: (sum of values) divided by (number of values). • Median: middle value in a list ordered from smallest to largest. • Mode: most frequently occurring value on the list. Tutorial class sizes 24 26 33 25 15 33 13 Mean = 24.14 (24+26+33+25+15+ 33+13) / 7 Median = 25 Mode = 33 13 15 24 25 26 33 33 13 15 24 25 26 33 33 Skew (symmetry of distribution) Positive skew Normal distribution Symmetrical Negative skew Kurtosis (related to tail ends of the distribution) Negative kurtosis Platykurtic Normal distribution Mesokurtic Positive kurtosis Leptokurtic The normal distribution Symmetrical Uniform Bell curve Mean=median=mode BEHL 2005 / BEHL 2019 (UO) Introductory Research Methods Summarising data Professor Hannah Keage
