Psychology Notes Intro to Psychological Research (1st year) Notes
The notes provide a comprehensive introduction to research methods and statistics (not requiring SPSS).
There are clear instructions for how to carry out the following: descriptive stats, t-tests, correlations, chi-square, sign test, Wilcoxon, Mann-Whitney test. Instructions for how to calculate standard deviation on a calculator are included.
Definitions, advantages/disadvantages, and general information are provided for: experimental methods, non-experimental methods, reliability/validity,...
The following is a more accessible plain text extract of the PDF sample above, taken from our Intro to Psychological Research (1st year) Notes. Due to the challenges of extracting text from PDFs, it will have odd formatting:
INTRO TO PSYCHOLOGICAL RESEARCH
3 Experimental methods
1 or 2 tailed
Confounding variables
4 Validity and Reliability
5 Within and Between subjects
6-8 Experiment types
True
Field
Quasi
6 Non-equivalent
Time series
Time seires w/ non-equivalent: multiple time series
6 Single case
A-B
7 Multiple baseline
Alternating treatments
Simultaneous treatments
9 Non-Experimental methods
Correlations
10-12 Quantitative data
Questionnaires
10 Surveys
Observations
13 Qualitative data
Interviews
Pictures
Ethnographies
Data displays
14-15 Descriptive Stats
Function of stats
Measures of central tendency and dispersion
IQR
SD
Types of data (Nominal, Ordinal, Interval, Ratio and Cont, Discrete, Dichotomous)
16-18 Tables and Diagrams
Bar charts, histograms, freq polygons and cum freq polygons
Distributions
16 stem-and-leaf diagrams
17 box-and-whisker plots
19 Probability
20 Sign test
21 Wilcoxon Matched Pairs Signed Ranks Test
22 Mann-Whitney U test
23 Parametric tests
24 1 sample T test
2-matched sample T test
25 Independent samples (equal groups)
Independent sample (unequal groups ie pooled variances)
26 Correlation
27 Pearson’s R
28 Spearman’s Rho
29 Chi-Square
30 Chi-Square- 1 sample
31 Chi-Square – 2 categorical variables sample (Contingency X2)
FOR A STAT TEST, WRITE OUT:
Design = IV (state general and then what levels), DV; within-Ps, between-Ps, correlation, freq/chi-sq
Question type = relationship, differences
Data type = qualitative, quantitative
Data type = NOIR, parametric, non-parametric, variances
STANDARD DEVIATION ON CALCULATOR
Mode
3: Stat
1: 1-VAR (if 1 set of data) 2: A+BX (if 2 sets of data only use if equal number data)
Enter values than press AC
Shift
1: STAT
4: VAR
SX/SY for SD of x/y values
Mode
1: Comp for normal mode
Parameter: value of population – no uncertainty
Statistic: value of a sample – has uncertainty stats used to estimate parameter
EXPERIMENTAL METHODS
Involves some manipulation
True experiments
Field experiments
Quasi experiments
Single case experiments
Hypothesis = prediction of what you expect to find in your study
1 tailed = direction of the rel is fixed in advance ie there is a direction +ve or -ve
2 tailed = direction not specified ie there is a diff in a yet unknown direction
Allows investigating the casual rel
Control IV
Better control of extraneous variables
Random sampling and random allocation
Increases internal validity
At risk of decreasing external and ecological validity
CONFOUNDING VARIABLES
Order effects | Performance in 2nd half may be better due to learning or worse due to tiredness |
---|---|
Participant Bias | Demand charac - tendency of Ps to respond in certain ways because they know they are being observed & believe that they know what the researcher wants |
Volunteer Bias | When you seek volunteers, you will get a sample that is not rep of the larger pop |
Experimenter Bias | All stages from designing to analysing can be affected. Bias towards a result expected by experimenter |
Minimising confounding variables
Effective randomization
Single blind = info that could introduce bias or skew the result is withheld from Ps, but the experimenter knows all facts experimenter bias
Double Blind = attempt to eliminate subjective bias on the part of both experimental subjects and the experimenters. The key that identifies the subjects and which group they belonged to is kept by a third party and not given to the researchers until the study is over.
Standardised procedures
Stats
VALIDITY
= measures what it claims to measure. Whether a study scientifically answers the qs it intends to answer
Criterion Validity
Compares the test with other measures or outcomes already held to be valid
IQ test validated against academic performance
Content Validity
Does an IQ questionnaire have items covering all areas of intelligence discussed in literature?
Construct Validity
Involves the empirical and theoretical support for the interpretation of the construct
To what extent is an IQ questionnaire actually measuring "intelligence"?
External Validity
Can results of a study be held to be true for other cases e.g. to different people, places or times?
Can findings can be validly generalized?
Ecological Validity
To what extent can research results be applied to real life situations outside of research settings?
To be ecologically valid, the methods, materials and setting of a study must approximate the real-life situation that is being studied
RELIABILITY
= a test is reliable when it gives consistent results of the same measure
Internal reliability = consistency of a measure within a test (ie all items measuring the same things)
Split half method (same participant do both halves of the test. If both provide similar results = test has internal reliability)
External reliability = ability to replicate the results and get the same/similar results
Test-retest method (testing the same participant twice over a period of time on the same test. Similar scores = test has external reliability)
Inter-rater reliability (comparing the ratings of 2 or more observers)
Ceiling and floor effects
Ceiling effects
Test is too easy and many Ps score near the top
Test can’t distinguish between individuals
Floor effects
Test is too difficult
WITHIN-SUBJECTS (REPEATED MEASURES)
= each P takes part in each level of the IV
Controls for indiv diff between Ps
Reduces number of Ps needed – higher consistency
Allows to follow Ps over time
Time constraints
Exp mortality
Order effects – practice/fatigure effect
Demand charac
Solution:
Randomize order of conditions
Counterbalancing
Counterbalancing
Balance effects or order of conditions
Split each group in half – group 1 does A then B, group 2 does B then A
Order effects balanced out as they occur equally in both groups
Complete Counterbalancing:
Requires that all possible condition orders are used
Eg if 6 levels = 6x5x4x3x2x1=720 orders
Latin Square:
Ensures that each level of the IV appears equally...
Buy the full version of these notes or essay plans and more in our Intro to Psychological Research (1st year) Notes.
The notes provide a comprehensive introduction to research methods and statistics (not requiring SPSS).
There are clear instructions for how to carry out the following: descriptive stats, t-tests, correlations, chi-square, sign test, Wilcoxon, Mann-Whitney test. Instructions for how to calculate standard deviation on a calculator are included.
Definitions, advantages/disadvantages, and general information are provided for: experimental methods, non-experimental methods, reliability/validity,...
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