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Research methods

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Total cards: 24•Content version: v4•Public deck•Updated: 8/1/2026

Card preview (24)

#1
Front (Question)

What is a fact in a scientific context

Back (Answer)

generally accepted reality based on objective inferences, verifiable by evidence that is published and accepted via peer review and replicated over time. Can still be open to scientific enquiry

#2
Front (Question)

Define the steps of the scientific method

Back (Answer)

1 - develop and define the problem (observation) 2 - formulate hypothesis 3 - gather data 4 - analyse and interpret results (test)

#3
Front (Question)

What are the two types of hypotheses

Back (Answer)

Null hypothesis - no relationship between variables Alternative hypothesis - there is a relationship between anxiety

#4
Front (Question)

What are the 2 kinds of statistics

Back (Answer)

Descriptive statistics and inferential statistics

#5
Front (Question)

What is a hypothesis

Back (Answer)

A statement about some real-world phenomenon that can be tested through observations.

#6
Front (Question)

what is an independent variable

Back (Answer)

the factor you will be testing. Thing you will change (eg temp, conc etc)

#7
Front (Question)

What is the dependent variable

Back (Answer)

the effect you think will change and the thing you measure - is effected by independent variable

#8
Front (Question)

What must the hypothesis include

Back (Answer)

Must state the question you are asking as well as include both dependent and independent variables.

#9
Front (Question)

How many relationships should be included in hypothesis

Back (Answer)

1

#10
Front (Question)

What do you need to check about hypothesis

Back (Answer)

make sure its testable

#11
Front (Question)

What does APPEAR stand for

Back (Answer)

Acquire Process Plot Examine Analyse Report

#12
Front (Question)

Describe Acquire (APPEAR)

Back (Answer)

Acquire data through sampling. Need to decide how you do it, think about assumptions, ethical considerations, numbers, resources available.

#13
Front (Question)

What are some assumptions you have to make when sampling a population

Back (Answer)

that pop. is normally distributed, that you are randomly sampling

#14
Front (Question)

What is a T-test

Back (Answer)

used to test hypotheses about means when the population variance is unknown (usual)

#15
Front (Question)

What sample size do you want

Back (Answer)

as large as possible - will give more accurate data

#16
Front (Question)

What is a single sample T-test

Back (Answer)

when we only have 1 group that we want to test against a hypothetical

#17
Front (Question)

What is an independent samples T-test

Back (Answer)

We have 2 means and 2 groups that have no relation between each other

#18
Front (Question)

What are the 3 varieties of T-Tests

Back (Answer)

Single sample, independent samples and dependent samples

#19
Front (Question)

What is a pooled average

Back (Answer)

A weighted average of the two sample variances with weighting done according to sample size

#20
Front (Question)

What is a dependent T-test

Back (Answer)

2 means that are related to each other

#21
Front (Question)

when do we use t tests

Back (Answer)

when population variance is unknown and sample size is small (usually under 100)

#22
Front (Question)

What is an ANOVA test

Back (Answer)

(AN)alysis Of (VA)riance A statistical test for comparing means between more than 2 groups

#23
Front (Question)

What does the F-test test

Back (Answer)

the hypothesis that two variances are equal. Will be close to 1 if variances are equal

#24
Front (Question)

what function do you use in R to import your dataset

Back (Answer)

read.csv() e.g. Dataset1 <- read.csv(“dataset1.csv”, header = TRUE)