Own Experement non participant Flashcards

1
Q

state operationalised alternative hypothesis

A

There will be a difference in the number of times males and females hold their phone, text on their phone or scroll on their phone.

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2
Q

explain reason for directional/non-directional hypothesis

A

It is hard to decide before the observation occurs if, for example, more people will scroll or text on their phone than hold the phone.

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3
Q

state appropriate null hypothesis

A

There will be no difference in the amount of times male and females scroll or text on their phones, compared to the amount of times a phone is held.

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3
Q

how mobile phone use is operationalised in this observation

A

Holding the phone, scrolling and texting.

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4
Q

what sampling method was used?

A

Opportunity

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5
Q

Identify the main characteristics of your sample group

A

16 participants, three male, 13 female. all students. all in Starbucks

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6
Q

Why was opportunity sample used (two advantages)

A

practical. don’t need a lot of time or money spent to gather participants, or for observation to take place & Guarantees sufficient amount of participants as all in school.

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7
Q

Weaknesses of OP sample

A

not representative, conclusions entire population cannot be drawn & prone to researcher bias, researcher may ignore friend’s phone usage

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8
Q

independent groups

A

only one group and condition.

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8
Q

why this methodology is was chosen

A

covert: more accurate - removes social desirability bias.
non-participant: not actively involved less risk of distraction & forgetting results.
structured: data is more valid. removes the risk of missing data out, like with qualitative data.

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8
Q

observation methodology type

A

structured, covert, non-participant observation.

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9
Q

What central dendancy was used and why

A

mode as cannot calculate mean, median or range as data is discontinuous and in categories.

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10
Q

How was it recorded

A

Tally chart and bar chart

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10
Q
A
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11
Q

identify appropriate inferential statistic

A

Chi square test - Nominal data, Testing a difference between male and female data & Male and female data is not related, it’s two separate categories

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12
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A
13
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A
14
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A
15
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16
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16
Q
A