Sophie Walker
Test por , creado hace más de 1 año

A level Psychology Test sobre Psychology- Types Of Data, creado por Sophie Walker el 22/10/2017.

80
0
0
Sophie Walker
Creado por Sophie Walker hace alrededor de 7 años
Cerrar

Psychology- Types Of Data

Psychology- Types Of Data

Pregunta 1 de 5

1

What is Quantitative Data?

Selecciona una de las siguientes respuestas posibles:

  • Information in numerical form e.g score on a psychology test out of 20.

  • Information in non-numerical form e.g. written words describing an event or opinion

  • Data originally obtained by other people

Explicación

Pregunta 2 de 5

1

Rellena los espacios en blanco para completar el texto.

A strength of using data is the data can be easily and compared between groups/participants and so allows the researcher to form . Another strength is that data collection tends to be highly valid and often uses measures and so cannot be misinterpreted.
A weakness of Quantitative data is that the method of may limit participants' responses which will lack detail, therefore making the data less . This in turn makes it less useful as we cannot why something has happened.

Explicación

Pregunta 3 de 5

1

What is Qualitative data?

Selecciona una de las siguientes respuestas posibles:

  • Information in non-numerical form

  • Information in numerical form

  • A way of representing very small or very large numbers.

Explicación

Pregunta 4 de 5

1

What are the strengths of using Quantitative Data?

Selecciona una o más de las siguientes respuestas posibles:

  • In depth data, and high detail as participants can express themselves exactly as they want to and so gives a more valid insight.

  • It is less likely that key or rare observations will be "lost" through the process of simplifying the data and so makes it more valid.

  • Can be biased.

Explicación

Pregunta 5 de 5

1

What are the weaknesses of Qualitative data?

Selecciona una o más de las siguientes respuestas posibles:

  • Subjective measures mean that data collection may be invalid as recording or interpretation of responses may be biased by the researcher's opinions or feelings.

  • Data are individual and so it may be difficult to make generalisations from the findings and compare between the groups.

  • Method of measurement may limit participants' responses which will lack detail, therefore making the data less valid.

Explicación

Anterior
Siguiente