Research and Statistics in Psychology

Slides:



Advertisements
Similar presentations
Chapter 2: The Research Enterprise in Psychology
Advertisements

Myers’ PSYCHOLOGY (7th Ed)
Myers’ PSYCHOLOGY (7th Ed) Chapter 1 Thinking Critically with Psychological Science James A. McCubbin, PhD Clemson University Worth Publishers.
Myers’ PSYCHOLOGY Chapter 2 Thinking Critically with Psychological Science James A. McCubbin, PhD Clemson University Worth Publishers.
Research in Psychology Chapter Two
Critical Thinking.
Agenda for January 25 th Administrative Items/Announcements Attendance Handouts: course enrollment, RPP instructions Course packs available for sale in.
Research Strategies: How Psychologists Ask and Answer Questions Module 3 Psychology 7e in Modules.
Chapter 2 Research Methods. The Scientific Approach: A Search for Laws Empiricism: testing hypothesis Basic assumption: events are governed by some lawful.
Chapter 2: The Research Enterprise in Psychology
8-10% of AP Exam. » Does sleeping less than seven hours a day reduce how long you will live? » Do violent video games make people more aggressive? » Can.
Chapter 2: The Research Enterprise in Psychology
Research Methods Unit 2 (Chapter 2).
Chapter 2 Research Methods. The Scientific Approach: A Search for Laws Empiricism: testing hypothesis Basic assumption: events are governed by some lawful.
Chapter 2 The Research Enterprise in Psychology. n Basic assumption: events are governed by some lawful order  Goals: Measurement and description Understanding.
THE RESEARCH METHODS USED IN PSYCHOLOGY RESEARCH ENTERPRISE IN PSYCHOLOGY.
Chapter 1: The Research Enterprise in Psychology.
The Research Enterprise in Psychology. The Scientific Method: Terminology Operational definitions are used to clarify precisely what is meant by each.
Research & Statistics Looking for Conclusions. Statistics Mathematics is used to organize, summarize, and interpret mathematical data 2 types of statistics.
Research and Statistics AP PSYCHOLOGY RESEARCH METHODS.
Class Starter # 5 zWhat are the 3 types of research done by psychologists?
Chapter 2 The Research Enterprise in Psychology. Table of Contents The Scientific Approach: A Search for Laws Basic assumption: events are governed by.
The Research Enterprise in Psychology
Assumes that events are governed by some lawful order
Research Methods in Psychology
OPERATIONAL DEFINITION a statement of the procedures used to define research variables.
Types of Research Studies. Observation Observation is the simplest scientific technique Participant and researcher bias can occur Naturalistic observation.
Chapter 2 The Research Enterprise in Psychology. Table of Contents The Scientific Approach: A Search for Laws Basic assumption: events are governed by.
Data Analysis.
Unit 2: Research & Statistics n Psychology deals with many experiments and studies n WHO? Every experimenter must decide on a SAMPLE, which is a group.
Research in Psychology Chapter Two 8-10% of Exam AP Psychology.
Thinking Critically with Psychological Science. I. The Need for Psychological Science The limits of intuition and common sense Hindsight Bias – Tendency.
Chapter 2: The Research Enterprise in Psychology.
Definition Slides Unit 2: Scientific Research Methods.
Definition Slides Unit 1.2 Research Methods Terms.
Research Methods Chapter 2. The Scientific Approach Assumes that events are governed by some lawful order. Scientific enterprise is based on the belief.
Research Methods. Define the Milgram experiment An experiment in which Milgram wanted to determine whether participants would administer painful shocks.
Research Methods In Psychology
Chapter 2 Research Methods.
Experimental Research
Chapter 2: The Research Enterprise in Psychology
RESEARCH & STATISTICS.
Statistics Use of mathematics to ORGANIZE, SUMMARIZE and INTERPRET numerical data. Needed to help psychologists draw conclusions.
Module 2 Research Strategies
1.2 Research Methods AP Psychology.
Scientific Methodology in Psychology
MODULE 2 Myers’ Exploring Psychology 5th Ed.
The Science of Psychology
RESEARCH METHODS 8-10% 250$ 250$ 250$ 250$ 500$ 500$ 500$ 500$ 750$
Data, conclusions and generalizations
CHAPTER 2: PSYCHOLOGICAL RESEARCH METHODS AND STATISTICS
How Do Psychologists Ask & Answer Questions?
Experimental Method Looking to prove causal relationships.
Module 02 Research Strategies.
© 2011 The McGraw-Hill Companies, Inc.
Myers’ PSYCHOLOGY (7th Ed)
Research Methods With Statistics 8-10% of AP Exam
RESEARCH & STATISTICS.
Research Methods A Method to the Madness.
Thinking Critically with Psychological Science Chapter 1
Research in Psychology
INTRODUCTION TO RESEARCH
Thinking critically with psychological science
Psychological Research Methods
Psychological Research Methods and Statistics
Research in Psychology Chapter Two 8-10% of Exam
Copyright © Allyn & Bacon 2007
Module 2 Research Methods
Vocab unit 2 Research.
Myers’ PSYCHOLOGY (8th Ed)
Presentation transcript:

Research and Statistics in Psychology 8-10% of AP Exam Research and Statistics in Psychology

Does sleeping less than seven hours a day reduce how long you will live? Do violent video games make people more aggressive? Can you make better decisions by not deliberating about them? Can women judge men’s testosterone levels in just one glance? Do IQ scores predict how long people will live? Why Research?

How should we go about investigating questions like these? How do we find answers to our questions about behavior that are accurate and trustworthy? Remember that psychology is empirical. Psychologists are committed to addressing questions about behavior through formal, systematic observation. This commitment to the empirical method is what makes psychology a scientific endeavor. Why Research?

The Scientific Approach

Step One: Formulate a Testable Hypothesis A hypothesis is a tentative statement about the relationship between two or more variables. To be testable, hypotheses must be formulated precisely; the variables under study must be clearly defined. Researchers achieve clear formulations by providing operational definitions of the relevant variables. Operational definitions describe the actions or procedures used to measure or control a variable. These operational definitions are essential for the replication (repeating) of concluded observations. By replicating research, scientist are able to further prove or potentially disprove previous research results.

Step Two: Select Research Method and Design the Study The 2nd step is to figure out how to put the hypothesis to an empirical test. Method chosen depends in large degree on the nature of the question under study. These various methods (experiments, case studies, surveys, naturalistic observations, etc.) have their advantages and disadvantages. Researchers must weigh pros and cons of each. Next, researchers must choose the participants for their study.

Step Three: Collect the Data Step Four: Analyze Data and Draw Conclusions Observations made in a study are usually converted into numbers (raw data) to increase objectivity of the research. Researchers then use statistics (descriptive and inferential) to analyze their data and decide whether their hypothesis has been supported. Step Five: Report Findings Publication in Academic Journal Studies replicated

Experiments

An experiment is a research method in which the investigator manipulates a variable under carefully controlled conditions and whether any changes occur in a second variable as a result. The purpose of an experiment is to find out whether changes in one variable (X) causes changes in another variable (Y). To put it another way, how X affects Y. (Cause and Effect)

The (X) in this case would be the independent variable (IV). An IV is the experimental factor being manipulated; the variable whose effect is being studied. The (Y) in this case would be the dependent variable (DV). The DV is the outcome factor; the variable that may change in response to manipulations of the IV.

In order to evaluate the effect of the IV on the DV, researchers study two separate distinct groups. Experimental group: subjects who are exposed to the some version of the independent variable. Control group: subjects who do not receive the special treatment given to the experimental group. Two Types of Groups

Flaws in Experimentation Placebo effect: when participants’ expectations lead them to experience some change even when they do not receive the IV Confounding variables: any variable (other than the IV) that could affect the DV; usually variables that cannot easily be altered Researcher Bias: when a researcher’s expectations or preferences about the outcome of a study can influence the results obtained Flaws in Experimentation

Increasing Confidence Because of inherent flaws in the experimentation process that could influence the results, researchers incorporate various methods to decrease the impact of those flaws. Control variable: any element of an experiment that MUST NOT be changed or already be similar as these changes/differences could affect the outcome of that experiment (used to reduce alternative explanations) Random assignment: assigning participants to experimental and control conditions by chance, minimizing the preexisting differences between the participants Double-blind procedure: when both researcher and participants are unaware (“blind”) as to which group is the experimental and which is the control. Increasing Confidence

Descriptive Research

One factor distinguishes descriptive research methods from experimental research methods. In descriptive research, experimenters CANNOT manipulate the variable under study. These methods only permit investigators to describe patterns of behavior and discover links between variables. Looking for Links

Naturalistic Observation In naturalistic observation a researcher engages in careful observation of behavior without intervening directly with the subjects. Jane Goodall conducted research on the social lives of chimps using naturalistic observation. Naturalistic Observation

A case study is an in-depth investigation of an individual subject. Anna O. Phineas Gage Henry Molaison Case Studies

Surveys

A survey is a technique for ascertaining the self-reported attitudes or behaviors of people. Surveys incorporate several steps to insure confidence in their results: Most importantly they use random sampling in determining who participates in the survey. Random sampling (similar to random assignment in experiments) ensure that each member of a population has an equal chance of inclusion. Surveys

Statistics

Statistics in Research Whether researchers use experimental or descriptive methods, they need some way to make sense of their data. Statistics is defined as the use of mathematics to organize, summarize and interpret numerical data. Statistical analyses permit researcher to draw conclusions based on their observations. Statistics in Research

Descriptive Statistics Descriptive statistics are used to organize and summarize data. “LACKEY brand trucks are still running strong after 10 years on the road.” Descriptive Statistics

Descriptive Statistics The presentation of data can be manipulated. Descriptive Statistics

Descriptive Statistics The presentation of data can be manipulated. This is called FRAMING. Descriptive Statistics

In summarizing numerical data, researcher want to know what constitutes a typical or average score. To answer these questions they use three measures of central tendency: median, mean and mode. Median: score that falls exactly in the center of a distribution Mean: arithmetic average of the scores in a distribution Mode: the most frequent score in a distribution Central Tendency

In general, the mean is the most useful measure of central tendency. However the mean is sensitive to extreme scores in a distribution, which can sometimes make the mean misleading. (Term defined as “skewed distribution”) A Note on the “Mean”

In describing a set of data, it is often useful to have some estimate of the variability among the scores. Variability refers to how much the scores in a set vary from one another and from the mean. The standard deviation is an index of the amount of variability in a set of data. When variability is great, so too will be the standard deviation. When variability is low, so too will be the standard deviation. Standard Deviation

Page 42

A correlation exists when two variables are related to each other. Researchers often want to quantify the strength of an association between two variables, so they depend on a descriptive statistic called the correlational coefficient. The correlational coefficient is a numerical index of the degree of relationship between two variables. Correlation

(positive or negative) Indicates strength of relationship (0.00 to 1.00) Correlation coefficient r = + 0.37 OBJECTIVE 8| Describe positive and negative correlations and explain how correlational measures can aid the process of prediction. Indicates direction of relationship (positive or negative) Psychology 7e in Modules

Direction of Correlation A correlational coefficient indicates both: (1) the direction of the relationship (2) and how strongly the two variables are related. A positive (+) correlation indicates that the two variables co-vary in the same direction. Up and Up; Down and Down. A negative (-) correlation indicates that the two variables co-vary in the opposite direction. One up and one down. Direction of Correlation

Strength of Correlation The size of the coefficient indicates the strength of an association between two variables. The coefficient can vary between -1.0 and +1.0. A -1.0 indicates a perfect (one-to-one) negative correlation. A +1.0 indicates a perfect (one-to-one) positive correlation. A coefficient of zero (0) indicates no relationship exists at all. Strength of Correlation

THE MERE FACT THAT TWO VARIABLES ARE CORRELATED DOES NOT MEAN THAT THERE ALSO EXISTS A CAUSE AND EFFECT RELATIONSHIP.

A scatterplot is a graphed cluster of dots, each of which represents the values of two variables. The slope of the points suggests the direction of the relationship (positive or negative). The amount of “scatter” suggests the strength of the correlation. Perfect positive correlation (+1.00) Perfect negative correlation (-1.00) No relationship (0.00) Scatterplots

The Scatterplot below shows the relationship between height and temperament in people. There is a moderate positive correlation of +0.63.

Inferential Statistics

Inferential Statistics After researchers have summarized their data with descriptive statistics, they still need to decide whether their data support their hypotheses. Inferential statistics are used to interpret data and draw conclusions. Working with the laws of probability, researchers use inferential statistics to evaluate the possibility that their results might be due to the fluctuations of chance. Inferential Statistics

Statistical Significance When statistical calculations (ones you don’t have to worry about for this class) indicate that research results are not likely due to chance, the results are said to be statistically significant. Statistical significance is said to exist when the probability that the observed findings are to due chance is very low (usually about 5% chance). Statistical Significance