• Shuffle
    Toggle On
    Toggle Off
  • Alphabetize
    Toggle On
    Toggle Off
  • Front First
    Toggle On
    Toggle Off
  • Both Sides
    Toggle On
    Toggle Off
  • Read
    Toggle On
    Toggle Off
Reading...
Front

Card Range To Study

through

image

Play button

image

Play button

image

Progress

1/9

Click to flip

Use LEFT and RIGHT arrow keys to navigate between flashcards;

Use UP and DOWN arrow keys to flip the card;

H to show hint;

A reads text to speech;

9 Cards in this Set

  • Front
  • Back

Primary and secondary data

Primary - data collected by yourself


authentic


time consuming


Secondary - data collected by someone else


easily accessible


May be lacking valuable information

Levels of measurement

Nominal - frequency count for distinct categories (fail/pass a test, smokers/non smokers)


Ordinal - ordered in some way like a scale rating (1-10)


Interval data - numerical scale, where each difference between units is equal

Measures of central tendency

Mean - statistical average


most sensitive as includes all scores/values


easily distorted by extreme values


Median - middle value


not affected by extreme values


not as sensitive as mean


Mode - most often


easiest measure to calculate and unaffected by extremes


crude measure and can be unrepresentative

Measures of dispersion

Range - difference between highest and lowest values


easiest to calculate


only two extremes


Standard deviation - statistical measure of how all values differ from the mean


Large SD = lots of variation


Small SD = not much variation


precise measure


doesn’t tell you full range and can be effected by extreme scores

Inferential statistics

Back (Definition)

Content analysis

Indirect observation using catalogues to quantify the data


Comes up with aim/hypothesis


Select sample for content analysis (eg type of book)


Create coding units of behaviours


Researcher carefully goes through sample and coding unit marked down


Total number of each coding unit counted

Evaluation of content analysis

statistical analysis of data becomes possible


can be argued to be reductionist


subjective opinions may influence content analysis

Thematic analysis

Analysing patterns that occur in qualitative data


Familiarise yourself with the data


Produce coding units


Look for emerging themes


Define and name each desperate theme


Write up the report

Content VS Thematic analysis

Content = converting from quantitative, thematic doesn’t


Thematic = Themes ‘emerge’ whereas codes are predetermined in content