My reading list — Araştırıyorum Learn

Sampling3 min read

Sample

A small part selected to help us understand the whole.

Beginner

Statistics3 min read

Correlation

Changing together does not mean causing each other.

Beginner

Statistics4 min read

Confidence interval

Show uncertainty, not just a single number.

Intermediate

Getting started2 min read

Research question

Good research starts with a clear question.

Beginner

Sampling2 min read

Population

Who do you want your findings to describe?

Beginner

Sampling3 min read

Random sampling

Keep personal preferences out of selection.

Intermediate

Survey design3 min read

Likert-type item

Understand attitudes through ordered responses.

Beginner

Survey design2 min read

Leading question

The wording can steer the answer.

Beginner

Qualitative research3 min read

In-depth interview

Listen to the experience behind the answer.

Beginner

Qualitative research4 min read

Thematic analysis

Discover patterns of meaning in people’s accounts.

Intermediate

Statistics3 min read

Margin of error

Sampling uncertainty around an estimate.

Intermediate

Getting started2 min read

Hypothesis

An expectation that can be tested with evidence.

Beginner

Research design3 min read

A/B test

Compare two options fairly.

Intermediate

Behaviour and bias2 min read

Social desirability

Answering as the person we would like to be.

Beginner

Data literacy2 min read

Percent / percentage point

Two different ways to describe a change.

Beginner

Data literacy3 min read

Mean and median

Two ways to describe a typical value.

Beginner

Getting started2 min read

Variable

A characteristic that can differ across observations.

Beginner

Getting started2 min read

Operational definition

Specify how an abstract idea will be measured.

Beginner

Data literacy2 min read

Quantitative data

Amounts obtained by counting or measuring.

Beginner

Data literacy2 min read

Categorical data

Describe observations using meaningful groups.

Beginner

Sampling2 min read

Stratified sampling

Sample from every subgroup.

Beginner

Sampling2 min read

Cluster sampling

Select groups before individual units.

Beginner

Sampling2 min read

Convenience sampling

Recruit the people easiest to reach.

Beginner

Survey design2 min read

Open-ended question

Let respondents answer in their own words.

Beginner

Survey design2 min read

Closed-ended question

Collect answers from predefined choices.

Beginner

Survey design2 min read

Double-barrelled question

Ask for one answer to two separate judgments.

Beginner

Survey design2 min read

Questionnaire pretesting

Check how questions work before launch.

Beginner

Qualitative research2 min read

Focus group

Explore experiences through group interaction.

Beginner

Qualitative research2 min read

Qualitative coding

Mark meaningful features of data with concise labels.

Beginner

Statistics2 min read

Standard deviation

Summarize spread around the mean.

Beginner

Statistics2 min read

Outlier

An observation far from the overall pattern.

Beginner

Statistics2 min read

p-value

Assess incompatibility with a null hypothesis.

Intermediate

Statistics2 min read

Type I error

Reject a null hypothesis that is actually true.

Intermediate

Research design2 min read

Cross-sectional study

Examine a population during a defined period.

Beginner

Research design2 min read

Longitudinal study

Track change through repeated measurements.

Beginner

Research design2 min read

Random assignment

Use chance to allocate experimental conditions.

Beginner

Behaviour and bias2 min read

Selection bias

Who enters a study can systematically distort its result.

Beginner

Behaviour and bias2 min read

Recall bias

Systematic differences in remembering past experiences.

Beginner

Data literacy2 min read

Missing data

Distinguish absent values from meaningful answers.

Beginner

Sampling2 min read

Weighting

Adjust how much each observation contributes to an estimate.

Intermediate

Statistics3 min read

Effect size

Express how large a difference or relationship is.

Intermediate

Statistics3 min read

Statistical power

The probability of detecting a specified real effect.

Advanced

Research design3 min read

Confounder

A common cause that can distort an association.

Advanced

Statistics3 min read

Multiple testing

Consider false alarms across a set of tests.

Advanced

Statistics3 min read

Bonferroni correction

A simple way to limit false positives across a test family.

Advanced

Statistics3 min read

Type II error

Fail to reject a null hypothesis that is false.

Intermediate

Statistics3 min read

Practical significance

Evaluate whether a finding matters for a real decision.

Intermediate

Statistics3 min read

Standard error

How much an estimate varies across samples.

Intermediate

Make room for a new discovery.

Sample

Correlation

Confidence interval

Research question

Population

Random sampling

Likert-type item

Leading question

In-depth interview

Thematic analysis

Margin of error

Hypothesis

A/B test

Social desirability

Percent / percentage point

Mean and median

Variable

Operational definition

Quantitative data

Categorical data

Stratified sampling

Cluster sampling

Convenience sampling

Open-ended question

Closed-ended question

Double-barrelled question

Questionnaire pretesting

Focus group

Qualitative coding

Standard deviation

Outlier

p-value

Type I error

Cross-sectional study

Longitudinal study

Random assignment

Selection bias

Recall bias

Missing data

Weighting

Effect size

Statistical power

Confounder

Multiple testing

Bonferroni correction

Type II error

Practical significance

Standard error