This website uses cookies to ensure you get the best experience on our website. Learn more

Psychology Notes Intro to Psychological Research (1st year) Notes

Into To Psych Research 1st Year Notes

Updated Into To Psych Research 1st Year Notes

Intro to Psychological Research (1st year) Notes

Intro to Psychological Research (1st year)

Approximately 31 pages

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.